List of Authors

A., Anusha

• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [DEMI2026] FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound

A., Mahadevan

• [BrainWorks] DeepNucleiNet: Encoding Spatial Nuclear Patterns for Data-Efficient Necrosis Detection in Computational Neuropathology

A.S., Anudeep

• [MedAgent] MechAgent: Active Mechanism Falsification for Agentic Cross-Species Medical Reasoning
• [AMAI] Continual Learning with subspace adaptation in foundation models for drug safety studies

Aaliyan, Muhammad

• [DEMI2026] Subspace-Based Auditing of Bottlenecks in Retinal Fundus Foundation Embeddings

Ababio, Frederick Wiafe

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Abaci Turk, Esra

• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Abbas, Marwan

• [COMPAYL] A Benchmark of Foundation Models for Chemotherapy Response Scoring in High-Grade Serous Ovarian Cancer

Abbas, Muhammad Hussnain

• [SWITCH] An Imaging-Informed Reaction-Diffusion Model of Infarct Growth

Abbas, Zeeshan

• [MAMA-SYNTH] Where and How Much: Enhancement-Decomposed Flow Matching for Virtual Contrast-Enhanced Breast MRI

Abbasi, Mohammad H.

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Abdelhamed, Mohamed A.

• [MIRASOL] ExBale: Quantitative Evaluation of Explainability Alignment in Ovarian Ultrasound Imaging

Abdelmaksoud, Amina I.

• [CaPTion] Confidence-Aware Multimodal Survival Prediction in Renal Cell Carcinoma using Graph-Based Histopathology Encoding

Abdelsamad, Baraa

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation

Abdelwahed, Omar

• [MI4MedFM] Leveraging Projected Residual Stream Decomposition for Mechanistic Probing and Parameter-Efficient Repair of Biomedical CLIPs

Abdolrahimzadeh, Solmaz

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Abdul Kareem, Daniya Najiha

• [EMA] InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation

Abdulaziz, Nidhal

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Abdullah

• [Deep-Brea3th] DAMST: Domain-Adaptive Medical Slice Transformer for Multi-Center Breast MRI Classification

Abdulsalam, Nafisat

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Abdumumin, Yusuf Tijjani

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Abdur Rahman, Lubnaa

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
• [MedAgent] EndoRAG: An Agentic Retrieval-Augmented Generation Framework for Endocrinology Question Answering

Abel, Simon Vincent

• [MedAgent] A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans

Abiodun, Joy

• [MIRASOL] Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa

Abir, Farhan Fuad

• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Aboian, Mariam S.

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Abolade, Ilerioluwakiiye

• [MIRASOL] Patient-Paired Anatomical Consistency Learning for Cross-View Echocardiographic Segmentation

Abolmaesumi, Purang

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation
• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Abootorabi, Mohammad Mahdi

• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Aboubakr, Nada

• [AMAI] What Does an AI Model Learn About Stress? A SHAP-Based Behavioural Interpretation of a Wearable Stress Classifier

Abozeid, Sara

• [MIRASOL] Segmentation-Guided Inpainting and Imbalance-Aware Learning for Robust Ovarian Tumor Classification in Ultrasound

Abraham, Ashish Anton

• [ODIN] Diagnosis-Aware Multimodal Retrieval for Paired CBCT Scans and Clinical Notes

Abu-Khalaf, Jumana

• [UNSURE2026] Not All Errors Are Equal: Threshold-Aware Loss Functions for Opportunistic Osteoporosis Screening

Achara, Akshit

• [FAIMI-BRIDGE-EPIMI] Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

Acharya, Partha

• [TREAT-MMTB] Prevalence-Aware Rank Fusion for Tuberculosis Cavity Detection and Segmentation

Achterberg, Hakim C.

• [AFRICAI] Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Acosta, Oscar

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Adalsteinsson, Elfar

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction

Adam, Patrick

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Adams, Hieab H. H.

• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation

Adams, Lisa C.

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening
• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

Adams, Miranda

• [CaPTion] Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

Adap, Sanyukta

• [BrainWorks] UPStaiN: Unsupervised Population-Based Morphology-Aware Stain Normalization

Adebayo, Adegboyega

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Adebesin, Aramide

• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Adegoke, Solomon

• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Adelakun, Frances

• [MIRASOL] From Binary Labels to Stage-Aware Bounding Boxes: Evaluating Annotation Depth in Malaria Microscopy

Adeli, Ehsan

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Adeniji, Samuel A.

• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images

Adeniyi, Stephen Adeyinka

• [MIRASOL] From Binary Labels to Stage-Aware Bounding Boxes: Evaluating Annotation Depth in Malaria Microscopy

Adesina, Comfort

• [MIRASOL] From Binary Labels to Stage-Aware Bounding Boxes: Evaluating Annotation Depth in Malaria Microscopy

Adetayo, Tella

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Adetoro, Simbiat Damilola

• [MIRASOL] Discrimination Is Not Enough: Calibration-Aware Multimodal Classification of Benign and Malignant Lesions in Contrast-Enhanced Spectral Mammography

Adewole, Maruf

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study
• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders
• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA
• [AFRICAI] ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging
• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Adeyemo, Peter Ifeoluwa

• [MIRASOL] Discrimination Is Not Enough: Calibration-Aware Multimodal Classification of Benign and Malignant Lesions in Contrast-Enhanced Spectral Mammography

Adhikary, Souraj

• [UNSURE2026] Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift

Adib Moradi, Sahand

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Adil, Ruqiyya

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Adinavi, Maxwell

• [BraTS-METS] Region-Aligned Training and Target-Specific 2D–3D nnU-Net Fusion for BraTS 2026 Brain Metastasis Segmentation

Adjadj, Benjamin

• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Adjei, Prince Ebenezer

• [AFRICAI] Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation
• [AFRICAI] Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity
• [AFRICAI] Domain Shift in Prostate MRI AI: Proxy Validation on a Low-Resource 1.5T Clinical Cohort

Aduluwa, Harrison

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings

Adusei, Richard

• [FAIMI-BRIDGE-EPIMI] When Fairness Transfer Backfires: Dark-Skin Inversion in Dermatology Foundation Models and a Minimal In-Distribution Fix
• [CAPI-WOMEN] Patient-Level Data Leakage in Colposcopy Classification: A Cautionary Study with Evidential Uncertainty Quantification for Cervical Cancer Screening
• [AFRICAI] Accurate but Not Equally Trustworthy: Benchmarking Foundation Models for Fetal Ultrasound in Africa

Afacan, Onur

• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Afiakwa, Robert Owusu

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Afroz, Khurram

• [FoundUS] SonoDiNoV2: Geometry-Aware, Pseudo-Label Guided Multi-Task Ultrasound Model

Agada, Samuel Ifebuche

• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy

Agarwal, Harsh

• [MIRASOL] CORTEX: Deep Reinforcement Learning with Pulse-Sequence Computation for Resource-Efficient MRI Protocol Adaptation

Agarwal, Khush

• [EchoRisk] Motion-Aware Multi-Stream Learning for Subclinical LV Dysfunction Detection from Echocardiography Videos

Agcaoglu, Oktay

• [BrainWorks] Group ICA 2.0: Closing the Gap Between Subjects and Group Latent Decomposition

Aggarwal, Himanshu

• [cdmri] DiffBench: A Benchmark Toward Reproducible Evaluation in Diffusion MRI Prediction

Agrawal, Ankit

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Agrawal, Harshit

• [MVAA] Mitral-Valve Segmentation Across CT, TEE, and Surgical Video
• [FoundUS] Multi-Task Ultrasound Biometry Landmark Detection
• [CMRSeg] nnU-Net for Cardiac MRI Segmentation and Scar Quantification (Cine + LGE): CMR-Multi 2026

Agrawal, Monika

• [FoundUS] SonoDiNoV2: Geometry-Aware, Pseudo-Label Guided Multi-Task Ultrasound Model

Agrawal, Rupesh

• [OMIA] Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification
• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Agudelo-Londoño, Yesika Alexandra

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Agudo, Antonio

• [Off-Grid] 4D Triangle Splatting Reconstruction of Dynamic Endoscopic Scenes from Monocular Videos

Aguilera, Stephanie M.

• [Off-Grid] Piecewise Positional Encodings (PPE) for Medical Image Representation

Agwu, Mary

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Ahmad, Asif

• [SWITCH] An Imaging-Informed Reaction-Diffusion Model of Infarct Growth

Ahmad, Parvez

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Ahmad, Shabir

• [SWITCH] Territory-Coupled Foundation Model Adaptation for ASPECTS Scoring on Non-Contrast CT
• [MWM] CalTwin: Calibrated Shift-Robust Medical World Models via Fisher-Information Regularization

Ahmadi, Mohammad Hossein

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Ahmed, Arfan

• [AMAI] What Does an AI Model Learn About Stress? A SHAP-Based Behavioural Interpretation of a Wearable Stress Classifier

Ahmed, Enas

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Ahmed, Md. Shakil

• [MI4MedFM] Which Reliability Signal to Trust? Output vs. Representation Space Uncertainty Under Distribution Shift in Pathology Foundation Models

Ahmed, Mirza Tahir

• [BrainWorks] Bidirectional Propagation Makes Sparse Re-Prompting Viable in Zero-Shot SAM2 for Whole-Tumor Glioma Segmentation

Ahmed, Rehan

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Ahmed, Sameh

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation

Ahn, Euijoon

• [Deep-Brea3th] DAMST: Domain-Adaptive Medical Slice Transformer for Multi-Center Breast MRI Classification

Ahn, Sangjeong

• [MedAgent] Attack Your Own Findings: A Falsification Agent Framework for Biomedical Discovery, Benchmarked on Four Errors We Actually Made
• [ELAMI] PathLLaVA: Continuous Vision-Language Alignment for Bladder Cancer Pathology Report Generation
• [DT4H] A Digital Twin Framework for ICU Delirium Using SAITS-Based Patient State Embeddings

Ahn, Seong Woo

• [MultiTab] Single-Pass Conformal Cross-Modal Anomaly Screening with Tabular Foundation Models

Ahrendsen, Jared T.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Ahsan, Md Manjurul

• [MedAgent] Why Benchmark Accuracy Fails to Measure Clinical Reasoning in Medical Vision-Language Models: Toward Clinical Adversarial Validation

Aichmüller-Ratnaparkhe, Manasi

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Aissiou, Ikram

• [ISLES] From Baseline to Bilateral Asymmetry: A Systematic nnU-Net Comparison for Ischemic Stroke Lesion Segmentation in ISLES’26
• [HECKTOR] A Dual-Branch Fusion Pipeline for Head and Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival Prediction: HECKTOR 2026

Ajit, Aaron

• [MLMI] Guarantees That Survive a Missing Scan: Modality-Conditional Conformal Prediction for Multimodal Medical Diagnosis
• [FAIMI-BRIDGE-EPIMI] Contrast-Induced Class Overlap as a Fairness Bottleneck in Dermatological AI: Evidence from HAM10000

Akano, Olatokun Shamsudeen

• [MIRASOL] From Binary Labels to Stage-Aware Bounding Boxes: Evaluating Annotation Depth in Malaria Microscopy
• [AFRICAI] Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

Akash, Naren

• [TIA] X2V: Deformable 2D/3D Registration from Intraoperative X-ray to Volume via Motion Manifold Learning
• [MI4MedFM] Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

Akbari, Younes

• [MLCN-2026] Toward Personalized Dyslexia Classification via Dynamic Functional Connectivity and Explainable AI

Akbarifar, Faranak

• [iMIMIC] P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

Akgul, Yusuf Sinan

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Akhtar, Naveed

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Akinkugbe, Ayesha

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Akinmuleya, Oluwatobi Iyanuoluwa

• [MIRASOL] MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI
• [LISA] Enhancing Neuroanatomical Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI
• [BraTS-METS] Region-Aligned Training and Target-Specific 2D–3D nnU-Net Fusion for BraTS 2026 Brain Metastasis Segmentation
• [AFRICAI] Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

Akkaraju, Sounic

• [SAFER] When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning

Akpaloo, Belinda Esinam

• [AFRICAI] Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation
• [AFRICAI] Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity

Akram, Farhan

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Akram, Muhammad Usman

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Aktan, Anil Tan

• [ISIC] DermaNet: Flexible-View Fusion for Dermoscopic–Clinical Skin Lesion Classification

Aktar, Mumu

• [MLCN-2026] Text-Guided Multimodal Multitask Learning for Brain Tumor Segmentation
• [BrainWorks] RBT-Faz: Register-Bottleneck 3D Swin-UNETR with Clinical Text Alignment for Ordinal Fazekas Grading from FLAIR MRI

Aktas, Halil Ertugrul

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification
• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Aktufan Cerekci, Esma

• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Akumu, Tanya

• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Al Banna, Md Hasan

• [TIA] Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation
• [MedAgent] Too Tight or Too Loose: How VLM Persona Committees Miscalibrate Inter-Rater Ambiguity in Medical Image Segmentation

Al Ghallabi, Wafa

• [MIRASOL] MR-DiffRecon: Efficient All-in-One MRI Reconstruction with Multi-Scale Alignment and Implicit Prompting

Al Maadeed, Somaya

• [MLCN-2026] Toward Personalized Dyslexia Classification via Dynamic Functional Connectivity and Explainable AI

Al Majzoub, Roba

• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

Al Musleh, Mohamed

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Al Turkestani, Najla

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Al-Aidarous, Sayed

• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Al-Ali, Khalid

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Al-Atabany, Walid

• [MIRASOL] Uncertainty-Based Referral for Selective Chest X-Ray Classification

Al-Belmpeisi, Rami

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes

Al-Fawa’reh, Mohammad

• [UNSURE2026] Not All Errors Are Equal: Threshold-Aware Loss Functions for Opportunistic Osteoporosis Screening

Al-Haidri, Walid

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Al-Sabbagh, Abbas

• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Al-antari, Mugahed A.

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Alam, Hasan Md Tusfiqur

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Alam, Saadia Binte

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities
• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Alam, Tanvir

• [DGM4MICCAI] Disentangled Retinal Fundus Synthesis with Non-Circular Vessel-Topology Evaluation

Alaraj, Ali

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Alaswad, Aya

• [TIA] Scene-Graph Contrastive Pretraining with Concept-Based Hard Negatives for Radiology Report Generation

Alavala, Sasidhar

• [ELAMI] Pixel-FLAIR: Leveraging Anatomical Segmentation for Region-Specific Supervision in Retinal Foundational Vision-Language Models

Alawneh, Khaled Z.

• [MIART] EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Alberb, Muhammad

• [AMPLIFAI] Clinically-grounded Multiphasic Modeling for Interpretable LI-RADS Categorization
• [ADSMI2024] CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Albertsen, Simon Winther

• [BraTS-Inpainting] CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

Albokhari, Rayan

• [EndoLINA] CPR-Critic: Target-Label-Free Per-Frame Selection of Monocular Depth Estimators for Endoscopy

Albuquerque, Jessica

• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Aldave-Garza, Roby

• [UNSURE2026] SegWithU: Deterministic Perturbation Probes for Single-Backbone-Pass Risk-Aware Medical Image Segmentation

Alderliesten, Thomas

• [PedAItrics] Cross-cohort Transfer for Label-efficient Neonatal HIE Lesion Segmentation with Weak Supervision and Pseudo-normative Spatial Priors

Aleksandraus, Arturas

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Alele, Grace

• [MIRASOL] Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa

Alewaidat, Haytham Ahmad

• [MIART] EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Alexander, Daniel C.

• [UNSURE2026] Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR
• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT
• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution
• [MLMI] Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Ali, Danish

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Ali, Mahad

• [MIRASOL] Soft Temporal Scoring Using a Foundation Model: Optimal Frame Selection for Improved ONSD Measurement in Ultrasound Videos
• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Ali, Omar

• [CaPTion] A Unified Multi-Organ Framework for Universal Lesion Detection, Segmentation and Longitudinal Tracking in CT Imaging
• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Ali, Seemaab

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Ali, Shahzad

• [MLCN-2026] From Blood to Brain: Uncertainty-Aware Adaptive Fusion for Alzheimer’s Staging and Progression Under Incomplete Multimodal Profiles

Ali, Sharib

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [CaPTion] FaithCLIP: Faithful Geometry-Derived Alignment for Text-Queryable Polyp Representations

Aliaga, Aron

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Alibeyoglu, Nebile

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Alickovic, Fatma

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Alikhani, Alireza

• [MedAgent] Disentangling Perception and Reasoning in Zero-Shot Multimodal LLMs for Ultrasound Diagnosis

Alis, Deniz

• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Aliyu, Farouq

• [AFRICAI] Resource-Efficient Knowledge Distillation via Simulated Annealing for Lightweight Breast Cancer Detection

Aljamaan, Hamad A.

• [EMA] Active few-shot segmentation by reinforcing data selection

Aljarkas, Abdallah

• [EMA] Active few-shot segmentation by reinforcing data selection

Allemang, David

• [ShapeMI] Extending the Evolutionary Skeletal Representation to the Cerebral Cortex Anatomy

Allgöwer, Sofie

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction

Allodji, Rodrigue

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

Almar-Munoz, Enrique

• [MVAA] Multi-Modal Mitral Valve Anatomy Analysis: Supervised and Semi-Supervised Segmentation Across CT, Ultrasound, and Surgical Video

Almpani, Konstantinia

• [ODIN] Automatic Cephalometric Landmark Localization on CBCT-Derived Digitally Reconstructed Radiographs for Skeletal Malocclusion Classification

Alomar, Antonia

• [PIPPI] EMD-Regularized Heatmap Regression for 3D Ultrasound Prenatal Facial Landmark Detection

Alqarni, Maram

• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Alsalama, Abdulrhman

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Alsallum, Nouf

• [Deep-Brea3th] SAM-Guided Probability Representation for Breast Ultrasound Lesion Segmentation

Alsharid, Mohammad

• [MIRASOL] Effect of Pretrained Initialisation and Component-Wise Tuning on Lightweight VLMs for Ultrasound Report Generation

Alshryda, Sattar

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Altaie, Mais

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

Altalib, Alzahra

• [MIART] EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Alvarez-Florez, Laura

• [MIRASOL] Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Alves, Jeovane Honorio

• [BraTS-GoAT] Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

Alvén, Jennifer

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair
• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation
• [DGM4MICCAI] Weakly Supervised Lung Nodule Segmentation via Plug-and-Play Guidance of 3D Rectified Flow

Alzahrani, Anas

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Amador Sanchez, Sebastian

• [ShapeMI] Landmark Detection Supported by Anatomy Segmentation and Geometric Constraints

Amador, Kimberly

• [ISLES] Residual-Encoder nnU-Net with Small-Component Filtering for Multi-Site Stroke Lesion Segmentation in T1-weighted MRI

Aman, Mona

• [AFRICAI] Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification

Ambati, Murari

• [MedAgent] GLIO-FAILSAFE: Failed Experiment or Negative Result?
• [MISO] Identifiable Counterfactual Control Defines Glioma Drivers: A Multi-Scale Causal Framework that Abstains Off-Support
• [CMMCA] The Glioma Epigenome as a Potential Landscape: A Continuous G-CIMP Erosion Coordinate that the Methylation Class Discards

Ambekar, Sameer

• [ADSMI2024] Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations

Ambrose, Vasanth

• [AMAI] SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Ambrosetti, Damien

• [COMPAYL] Morphology-Preserving Virtual Staining from H&E to PAS and IHC using Enhanced Diffusion Models

Ambsdorf, Jakob

• [ADSMI2024] AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Amin, M. Ashraful

• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Aminparast, Zahra

• [COMPAYL] Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

Amiramjadi, Arian

• [MLMI] LEEWAY: Same Anatomy, Same Score, Different Verdict Using Paired Falsification Tests in Dental CBCT

Amirrajab, Sina

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI
• [MAMA-SYNTH] Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching
• [CMRSeg] Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

Ammeling, Jonas

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Amrouche, Pauline

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Amruthalingam, Ludovic

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Amuasi, John

• [AFRICAI] Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation
• [AFRICAI] Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity
• [AFRICAI] Domain Shift in Prostate MRI AI: Proxy Validation on a Low-Resource 1.5T Clinical Cohort

An, Xing

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography
• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

An, Xinjun

• [BraTS-PEDs] HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation
• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI
• [BraTS-GoAT] MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

Anand, Deepa

• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Anas, Alyasaa

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction
• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Anazodo, Udunna C.

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa
• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets
• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction
• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa
• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging
• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders
• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption
• [MIRASOL] Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings
• [MIRASOL] Towards CPU-Deployable nnU-Net: Training-Free Sensitivity-Guided Compression Across Clinical Domains
• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy
• [BraTS-METS] Clinically Informed, Dataset-Adaptive Lightweight Segmentation of Brain Metastases within the nnU-Net Framework
• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives
• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Andelfinger, Nora

• [PIPPI] Quality over quantity: data curation for automated angle of progression estimation in intrapartum ultrasound

Andersson, Jonas S.

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Andrade, Matilde

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Andrade, Nicolás

• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Andrade-Miranda, Gustavo

• [MedAgent] AgentQC: Policy-Constrained Agentic Assessment of Task-Aware Reliability in Medical Imaging Datasets
• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Andrearczyk, Vincent

• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Andrew, Mudhasi

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Andrier, Étienne

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Androutsos, Dimitrios

• [COMPAYL] AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer

Anik, Mahfuz Ahmed

• [MedAgent] Why Benchmark Accuracy Fails to Measure Clinical Reasoning in Medical Vision-Language Models: Toward Clinical Adversarial Validation

Anjos, André

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification
• [FAIMI-BRIDGE-EPIMI] Loss-Conditioned Utility-Fairness Boundary Modeling for Medical Imaging

Anjum, Saraf

• [TIA] Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation

Ankapong, Samuel Danquah

• [AFRICAI] Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

Ankenbrand, Markus

• [CMRSeg] Per-View Specialist Networks for Multi-Sequence, Multi-View Cardiac MRI Segmentation and Clinical Quantification: A Comparison of nnU-Net and MedNeXt Backbones

Anozie, Ekenechukwu Lilian

• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy

Ansari T. A., Suhail

• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Ansart, Manon

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Anselmet, Marie

• [SAFER] MeVisQA: Medical Visual Question Answering via Visual Programming

Antar, Alan

• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model

Anthony, Ajith

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

Antipushina, Ekaterina

• [SynthOCT] Speckle-Phase Refinement on an Exact Differentiable Scanner Twin for Inverse OCT Phantom Generation
• [FoundUS] TABS: Transfer-Aware Backbone Selection for Cross-Centre Ultrasound Biometry
• [CMRSeg] An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Antonov, Sergei

• [EMA] SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images

Anvari Hamedani, Kian

• [RIME] Self-Supervised Multi-Contrast MRI Reconstruction via Permutation-Driven Contrast Invariance
• [EMA] Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI
• [CMRxRecon2026] Phase-Coupled State-Space Reconstruction for Ultra-Accelerated 4D Flow MRI
• [CMRxRecon2026] Stage-Aligned Knowledge Distillation for Fast and Memory-Efficient 4D Flow MRI Reconstruction

Anwar, Syed Muhammad

• [MedReason] Medical Visual Question Answering with Length-Prior Arbitration and Reward-Aligned GRPO
• [AMAI] Adaptive Riemannian Geometry for Seizure Onset Zone Localization in Intracranial Electroencephalography

Anzengruber, Stephan

• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Aoki, Yoshimitsu

• [RHEUM-AI] RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Aondongu, Tolough Nelson

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Apostolidis, Charilaos

• [CMRxRecon2026] Complex-Valued and State-Augmented Variational Networks for Accelerated 4D Flow MRI Reconstruction

Appiah, Benjamin

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Aptoula, Erchan

• [ISIC] DermaNet: Flexible-View Fusion for Dermoscopic–Clinical Skin Lesion Classification

Arafat, Jahidul

• [MIRASOL] Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

Araújo, Marta V.

• [UNSURE2026] Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Arbeláez, Pablo

• [STACOM] Beyond Volume Overlap: Surface Matching for Topology-Aware Coronary Artery Segmentation
• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Ardan, Darya

• [COMPAYL] Post-hoc Shrinkage of Acquisition-Induced Variability in Histopathology Vision Foundation Model Embeddings

Aren, Kathleen

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Arenós Bach, Nil

• [CaPTion] Attention-based prediction of lymph node status in pt1 CRC using a histopathology foundational model

Arfanakis, Konstantinos

• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model

Arias-Vergara, Tomás

• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Aribal, Erkin

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Ariyurek, Cemre

• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Arjomandi, Jasmin

• [CAPI-WOMEN] Evaluating the Prompt-to-Automation Gap: A Comprehensive Benchmark for Laparoscopic Endometriosis Segmentation
• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Arlanch, Elina

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Arlt, Tillmann

• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Arnob, Assame

• [TIA] Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation

Arnold, Douglas L.

• [MLCN-2026] Paramagnetic Rim Lesion Instance Segmentation in Multiple Sclerosis Using Conditional Convolutions
• [BraTS-Inpainting] Glioma Inpainting in Brain MRI via 3D Region Aware Diffusion

Arnold, Julius

• [RIME] An Anatomy-Driven Thoracic Respiratory Motion Model with Population-Calibrated Presets

Arrigoni, Filippo

• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions

Arts, Lukas P.A.

• [MIRASOL] Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Asadi, Mohammad

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Ashikaga, Hiroshi

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation

Ashlag, Liron

• [SASHIMI] From Undersampled to Diagnostic: Flow-Translated Embeddings for Knee Pathology Classification in Accelerated MRI

Ashmawy, Judy

• [FAIMI-BRIDGE-EPIMI] Multiple Shortcut Pathways in Mammography-Based Breast Cancer Risk Prediction

Ashraf, Ahmed

• [BraTS-Inpainting] A Mask-Gated 3D U-Net with Void-Size Conditioning for Healthy Tissue Inpainting in Brain MRI

Ashtari, Pooya

• [Off-Grid] Neural Field Fourier Token Mixers for Medical Image Segmentation
• [ISLES] Deconver for Stroke Lesion Segmentation

Asif, Aqua

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty

Asselbergs, Folkert W.

• [MIRASOL] Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Assemlal, Haz-Edine

• [MLCN-2026] Paramagnetic Rim Lesion Instance Segmentation in Multiple Sclerosis Using Conditional Convolutions
• [BraTS-Inpainting] Glioma Inpainting in Brain MRI via 3D Region Aware Diffusion

Astagiri, Prasandhya Yusuf

• [EMA] Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled Vision-Language Models

Astaraki, Mehdi

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Astley, Joshua R.

• [TIA] Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN and Transformer Architectures
• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease
• [MLCN-2026] Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
• [MLCN-2026] Rapid Whole-Brain Parcellation

Aswolinskiy, Witali

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Atabonfack, Bernes Lorier

• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Atad, Matan

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Atayi, Fateme

• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Atluri, Sri

• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Attapawat, Thanawat

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Attenberger, Ulrike

• [STACOM] SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

Attia, Nada A.

• [MIRASOL] Uncertainty-Based Referral for Selective Chest X-Ray Classification

Aubreville, Marc

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
• [COMPAYL] RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Aude, Jean-Christophe

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Audette, Michel

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Audigier, Chloé

• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

Auer, Timo

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening

Aulakh, Agampreet

• [Off-Grid] INR-based FPCA for Efficient Analysis of Longitudinal Neuroimaging Data

Aung, Nay

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank
• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR

Autrusseau, Florent

• [TopAneu] VaMosV2: A Multi-step Procedural Model That Generates Full 3D Synthetic MRA Volumes for Data Augmentation in the TopAneu ICA Segmentation Challenge

Avci, Mehmet Yigit

• [FAIMI-BRIDGE-EPIMI] Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

Avidan-Pearl, Nitzan

• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Avila, Joselyn Romero

• [cdmri] Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology

Avila, Juan D. Sarmiento

• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Aviles Verdera, Jordina

• [PIPPI] STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs
• [CAPI-WOMEN] Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI
• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Aviles-Espinosa, Rodrigo

• [MLMI] Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Awad, Mina A.

• [MIRASOL] ExBale: Quantitative Evaluation of Explainability Alignment in Ovarian Ultrasound Imaging

Awamleh, Wa’ad

• [OMIA] Topology-Aware Staged Diffusion for Multi-Vendor Retinal OCT Fluid Segmentation

Awwad, Hadeel

• [Deep-Brea3th] Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation

Axel, Leon

• [STACOM] Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Data
• [STACOM] Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

Ay, Seha

• [DeCaF] Gerchberg-Saxton Spectral Preprocessing as Empirical Leakage Mitigation in Simulated Federated Medical Imaging

Ayad, Mohammed

• [MedAGI] TopoMedKD: Shape- and Topology-Aware Distillation of Zero-Shot MedSAM for Compact Medical Image Segmentation

Ayivor, Livingstone Eli

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption
• [AFRICAI] Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation
• [AFRICAI] Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity

Aylward, Stephen

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Aytimur, Ayda

• [LISA] Automated Artifact Quality Control for Pediatric Low-Field MRI via Plane-Aware CNNs and BrainFM Feature-Pyramid Expert Merging

Aytutuldu, Guzin Kaya

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Aytutuldu, Ilhan

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Ayyad, Sarah M.

• [BraTS-METS] Runtime-Aware Ensemble Optimization for Brain Metastasis Segmentation under Strict Deployment Constraints

Ayyasamy, Shyam

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification
• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data
• [DEMI2026] FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound
• [AMAI] SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Ayzenberg, Lev

• [MLMI] Towards Distortion–Perception-Balanced MRI Reconstruction using Posterior-Mean Rectified Flow

Azad, Reza

• [MLMI] Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
• [ELAMI] Contrastive Answer Calibration for Medical Visual Question Answering

Azampour, Mohammad Farid

• [ShapeMI] ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion
• [MedAgent] Disentangling Perception and Reasoning in Zero-Shot Multimodal LLMs for Ultrasound Diagnosis
• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations
• [ASMUS] UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound
• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Azeem, Hiba

• [SWITCH] Territory-Coupled Foundation Model Adaptation for ASPECTS Scoring on Non-Contrast CT

Azimbagirad, Mehran

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Azimi, Amirali

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Aziz, Abu Zahid Bin

• [ShapeMI] NO2SSM: A Discretization-Invariant Neural-Operator Approach to Statistical Shape Modeling

Aziz, Sarah

• [AMAI] What Does an AI Model Learn About Stress? A SHAP-Based Behavioural Interpretation of a Wearable Stress Classifier

Azrak, Omar

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

B., Ragu

• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data

Ba, Ousmane Seydina

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Baaki, Mohammed Hardi Abdul

• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Baazaoui, Hakim

• [SWITCH] X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Babaoglu, Berrin

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Bacher, Valentin

• [ASMUS] Learning to Annotate, Optimizing to Estimate: A De-amortized Inference Framework for Ultrasound Confidence Maps

Badano, Luigi

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Badiali, Giovanni

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Badic, Bogdan

• [AMPLIFAI] Ordinal-aware Multi-Phase Classification with Manifold Mixup for LI-RADS Assessment in CT

Badola, Aviral

• [ISLES] Atlas-Centric Multi-Center Ischemic Stroke Lesion Segmentation with MedNeXt++

Badr, Mostafa Abdalla Mostafa

• [UNSURE2026] Reliability, Not Accuracy, Is the Bottleneck in AI-assisted Post-Treatment Glioma Segmentation: Region-Aware Recalibration and Risk-Controlled Triage

Badreddine, Racha

• [CARE] Left Atrial Scar Quantification from LGE-MRI: A Controlled Ablation and Detectability Study

Bae, Hyeonjun

• [LISA] Atlas-Guided Local Expert Fusion for Pediatric Ultra-Low-Field Brain MRI Segmentation

Bae, Jackson

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Bagci, Ulas

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification
• [MLMI] Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation
• [ELAMI] Contrastive Answer Calibration for Medical Visual Question Answering
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Bahar, Irit

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Baharav Shlezinger, Einav

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Baheti, Bhakti

• [REG2026] Reasoning as Retrieval: Template-Grounded Chain-of-Thought Report Generation from Whole-Slide Images
• [MedReason] A Parameter-Efficient Vision–Language System for Reasoning-Grounded Medical Visual Question Answering under Domain Shift
• [LISA] Overcoming Low Signal and Scarce Data: Quality Assessment, Enhancement, and Segmentation of Ultra-Low-Field Pediatric Brain MRI
• [HEADLINE] Low-Rank Adaptation of a 3B Vision-Language Model for Head-CT Report Generation: HEADLINE 2026
• [BrainWorks] UPStaiN: Unsupervised Population-Based Morphology-Aware Stain Normalization
• [BraTS-Path] Leakage-Free Patient-Grouped Evaluation of Frozen Pathology Foundation Models for Long-Tailed Glioma Sub-region Classification
• [BraTS-PEDs] Brain Extraction, Residual-Encoder Ensembling and Metric-Aware Component Filtering for Pediatric Brain Tumor Segmentation
• [BraTS-METS] A Residual-Encoder nnU-Net Baseline for Pre- and Post-Treatment Brain Metastasis Segmentation
• [AIMS-TBI] Single-Model Lesion Detection and Segmentation for Moderate–Severe Traumatic Brain Injury on T1-weighted MRI

Bahirah, Novia Putri

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Bai, Jieyun

• [MVAA] Baseline Method of the MVAA 2026 Challenge for Multimodal Mitral Valve Segmentation
• [FoundUS] Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026
• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Bai, Long

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery
• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation

Bai, Meng

• [CMRSeg] CardioState: Task-Aligned 2.5D MedNeXt for Multi-Sequence Cardiac MRI Segmentation and Quantification

Bai, Shaojin

• [MLMI] CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging

Bai, Shuwei

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis

Bai, Wenjia

• [MultiTab] MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer’s Prediction
• [MedAgent] LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

Bai, Yan

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Bai, Yitong

• [MedReason] The Label Is Not the Answer: Output-Schema Anchoring in Medical Multimodal MCQ Evaluation

Baid, Ujjwal

• [REG2026] Reasoning as Retrieval: Template-Grounded Chain-of-Thought Report Generation from Whole-Slide Images
• [MedReason] A Parameter-Efficient Vision–Language System for Reasoning-Grounded Medical Visual Question Answering under Domain Shift
• [LISA] Overcoming Low Signal and Scarce Data: Quality Assessment, Enhancement, and Segmentation of Ultra-Low-Field Pediatric Brain MRI
• [HEADLINE] Low-Rank Adaptation of a 3B Vision-Language Model for Head-CT Report Generation: HEADLINE 2026
• [BraTS-Path] Leakage-Free Patient-Grouped Evaluation of Frozen Pathology Foundation Models for Long-Tailed Glioma Sub-region Classification
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Brain Extraction, Residual-Encoder Ensembling and Metric-Aware Component Filtering for Pediatric Brain Tumor Segmentation
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results
• [BraTS-METS] A Residual-Encoder nnU-Net Baseline for Pre- and Post-Treatment Brain Metastasis Segmentation
• [AIMS-TBI] Single-Model Lesion Detection and Segmentation for Moderate–Severe Traumatic Brain Injury on T1-weighted MRI

Baiocco-Rodrigues, Thalyssa

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis
• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Bak, Dayeon

• [PIPPI] Region-Wise Interpretable Neonatal Brain Age Prediction via Pretrained Segmentation-Guided Attention
• [PIPPI] Self-Tuning Age-Conditioned Choroid Plexus Segmentation in Neonatal MRI

Bakas, Spyridon

• [REG2026] Diagnostic Pathology Reporting and Reasoning via Autoregressive and Retrieval-Based Chain-Of-Thought
• [REG2026] SlotPath: Structured Slot Prediction and Retrieval for Reasoning-Guided Pathology Reporting
• [ODIN-challenges] OrthoScribe: Training-Free Multimodal Orthodontic Report Generation via Photographic Retrieval and 3D Geometry Correction
• [MedReason] GrADe: Grouped Adapter Decoding for Medical Visual Question-Answering under Domain Shift
• [MVAA] A Multimodal Segmentation Pipeline for Mitral Valve Anatomy Analysis in Cardiac CT, 3D Transesophageal Echocardiography, and Surgical Video
• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [HECKTOR] GASP: Multimodal Geometry-Aware Segmentation, Staging, and Prognostication of Head and Neck Cancer
• [HEADLINE] FiReGen: Findings-Aware Retrieval and Reinforcement-Tuned Generation of Free-Text Head CT Radiology Reports
• [EchoRisk] One Encoder to Address All: Cardio-Oncology Assessment of Left Ventricular Ejection Fraction, Left Ventricular Dysfunction, and Early Cardiotoxicity in Echocardiography Cine Loops
• [DeCaF] Quantifying Membership Privacy Risk Using Shadow Model Membership Inference Attack: Observations from a Breast Cancer Use Case
• [DeCaF] FOCUS: Federated Learning Optimized Convergence via Uncertainty-guided Sampling
• [COMPAYL] Bidirectional Translation Between ISH and H&E Glioblastoma Tissue Sections via Attention-Enhanced CycleGAN
• [BrainWorks] Scaling Native 3D Self-Supervised DINOv2 for Brain MRI Foundation Models
• [BrainWorks] Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net
• [BrainWorks] UPStaiN: Unsupervised Population-Based Morphology-Aware Stain Normalization
• [BraTS-Path] Rare-Class Conditional Routing with Foundation Model Representations for Glioma Histologic Sub-region Classification
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Bakhouche, Amel

• [STACOM] GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity

Balaji, Sowjanya

• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data
• [DEMI2026] FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound

Balamuralikrishna, Praveen Thoppey Srinivasan

• [ShapeMI] VessComNet: Geometry-Aware 3D Vessel Completion Across Non-Contrast and Contrast-Enhanced CT Images

Balbastre, Yaël

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Balcerak, Michal

• [SWITCH] An Imaging-Informed Reaction-Diffusion Model of Infarct Growth
• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver

Balcı, Serdar

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Baldé, Abdourahmane

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Bale, Reto

• [CLIP] Differentiable Manifold Optimization for Fast, Multi-Needle Ablation Planning

Balić, Stella

• [EchoRisk] Multi-View Beat-Clip Probing of an Echocardiography Foundation Model for Cardio-Oncology

Baljer, Levente

• [MRIxFields2026] Conditional Flow Matching for Cross-Field MRI Harmonisation
• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation

Balks, Maren

• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Ballester, Leomar Y.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Balocco, Simone

• [HECKTOR] A Segmentation-Guided Framework for TN Staging and Recurrence-Free Survival Prediction in HECKTOR 2026

Banahan, Paul

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI
• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Bancerek, Maria

• [BraTS-METS] Brain Metastasis Segmentation Using an Ensemble of U-Mamba Models

Bancher, Benjamin

• [MISO] Iterative Gamma Normalization for Inter-Sample Integration of Multiplexed Tissue Images

Banerjee, Abhirup

• [STACOM] Continuous Volumetric Cardiac Motion Modelling for Analytical Derivatives from Cine MRI

Banerjee, Jotiraditya

• [EMA] SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images

Banerjee, Sweta

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Bani-Harouni, David

• [AMAI] Learning Diagnostic Reasoning for Decision Support in Toxicology

Baniassadi, Arian

• [AMAI] Predicting Clinically Actionable LUAD Mutations from Whole-Slide Histopathology Using Prov-GigaPath Foundation Model Embeddings

Bankole, Nourou Dine Adeniran

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Bannier, Elise

• [EMA] StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Bannier, Pierre-Antoine

• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Bansal, Anu

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Banus, Jaume

• [Off-Grid] NIMOSEF-R: Neural Implicit Motion and Segmentation Functions with Riemannian Embedding Priors and Breath-Motion Correction

Bao, Jie

• [MAMA-SYNTH] When Regression Beats Generation: Virtual Contrast-Enhanced Breast MRI and What Its Metrics Reward
• [ISLES] LightMedSeg-ISLES: Stroke Lesion Segmentation with 81× Fewer Parameters than nnU-Net

Bao, Lunhong

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Bao, Shunxing

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Bao, Wentao

• [ODIN-challenges] Medication-Safe Dual-Encoder Retrieval for Structured Dental Report Prediction from CBCT

Bao, Yan

• [BraTS-Inpainting] Anatomy-Aware Healthy Brain Inpainting: Integrating Tissue Guidance Across Inputs, Features, and Objectives

Baradaranfard, Mahdi

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Baral, Saroj

• [DEMI2026] CheXQuery: Anatomy and Condition Guided Radiology Report Generation under Limited Data

Barata, Catarina

• [ML-CDS2026] Multimodal and Longitudinal Modeling for Predicting Alzheimer’s Disease Progression
• [GRAIL] TumorGraphs: Patient-Level Fusion of Multi-WSI Histopathology

Barateau, Anaïs

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Barbareschi, Mattia

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Bard, Patrick

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Baretta, Carlo

• [SAFER] When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning

Barfoot, Theodore

• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Barmperis, Alexandros

• [FoundUS] Self-Supervised Domain Adaptation with DINOv2-HRNet for Multi-Task Ultrasound Landmark Detection

Barmpounakis, Konstantinos

• [MIART] Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning

Barnes, Dennis

• [AMAI] Dual-Encoder Transfer Learning for Surgical Image Segmentation

Barone, Selene

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Barranco, Jennifer

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Barratt, Dean C.

• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Barrera, Carlos E.

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision

Barresi, Valeria

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Barrientos, Juan

• [MIRASOL] Deployment-Oriented Benchmarking of Optimized Deep Learning Models for Real-Time Fetal Plane Classification on Mobile Devices

Barry, Martin

• [MWM] Adversarial-Contrastive Domain Generalization for Cross-Site Autism Spectrum Disorder Classification from Resting-State fMRI
• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification

Bartz, Kathleen M.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
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Bas, Erhan

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation

Basak, Chandramallika

• [MLCN-2026] Graph-Theoretical Task-Based Frontal Brain Network of Visual Working-Memory Load: An fNIRS Study

Basarab, Adrian

• [TIA] TrICON: Learning Diffeomorphic Lung CT Registration through Triplet Consistency

Basha, Tamer

• [FAIMI-BRIDGE-EPIMI] Multiple Shortcut Pathways in Mammography-Based Breast Cancer Risk Prediction
• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Basit, Syed Abdullah

• [DGM4MICCAI] Disentangled Retinal Fundus Synthesis with Non-Circular Vessel-Topology Evaluation

Bassene, Avewe

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Bastarrika, Gorka

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Batal, Fadel

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Bates, Oscar

• [iMIMIC] Recursive Uncertainty-Gated Image Registration for Learning-Based Algorithms

Batheja, Vivek

• [ShapeMI] VessComNet: Geometry-Aware 3D Vessel Completion Across Non-Contrast and Contrast-Enhanced CT Images

Bathineni, Ashajyothi

• [SASHIMI] Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy
• [MI4MedFM] The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Batmanghelich, Kayhan

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
• [Deep-Brea3th] Mammo2Tomo: Adapting Mammo-CLIP to learn text-aligned DBT volume representations

Battipaglia, Chiara

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Baudot, Pierre

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Bauer, Daniel

• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Baugh, Matthew

• [UNSURE2026] A Principled Approach to Unsupervised Anomaly Detection
• [MultiTab] MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer’s Prediction
• [ASMUS] Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Baumann, Carmen

• [GRAIL] Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images

Baumann, Christoph

• [STACOM] SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

Baumann, Jens

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Baumgartner, Christian

• [PIPPI] Quality over quantity: data curation for automated angle of progression estimation in intrapartum ultrasound

Baumgartner, Michael

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Baur, Simon

• [UNSURE2026] Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation

Bautz, Lisa

• [MVAA] Multimodal Mitral Valve Segmentation: Mesh-Based 3D and Depth-Transfer Learning

Baxter, Gabrielle

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Baxter, John S. H.

• [FAIMI-BRIDGE-EPIMI] Foundational values for foundation models
• [FAIMI-BRIDGE-EPIMI] Hallucinations and constraints : Regulating surgical workflow recognition beyond accuracy
• [CAPI-WOMEN] Comparing Problem Formulations for Endometriosis Lesion Detection on T2-weighted Pelvic MRI

Bayasi, Nourhan

• [CLiMeM] Learning to Reason Over Physician Corrections: An Interactive Agentic Framework for 3D Tumor Segmentation

Bayat, Sam

• [TIA] Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density

Bayat, Sayeh

• [FAIMI-BRIDGE-EPIMI] An Intersectional Fairness-Aware Framework for Alzheimer’s Disease Detection Using Multimodal Data

Bayatmakou, Farnoush

• [MIART] Mammo-LIFE: Longitudinal Mammographic Imaging and Clinical Feature Enrichment for Post-Radiotherapy Outcome Prediction

Bayer, Siming

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Bayouth, John E.

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT

Bayramoglu, Neslihan

• [RHEUM-AI] Augmenting the Grey Zone: Generative Models for Ambiguous Kellgren–Lawrence Grade Boundaries in Knee Osteoarthritis

Bazay, Fatima Ez-Zahraa

• [MWM] Adversarial-Contrastive Domain Generalization for Cross-Site Autism Spectrum Disorder Classification from Resting-State fMRI
• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification
• [MIRASOL] Discrimination Is Not Enough: Calibration-Aware Multimodal Classification of Benign and Malignant Lesions in Contrast-Enhanced Spectral Mammography
• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [ELAMI] Diagnosis of Autism Spectrum Disorder using LLMs and Multimodal Brain Connectivity Analysis

Beament, Millie

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Becce, Fabio

• [SASHIMI] RECON: Restoration-Guided Conditioning for Thin-Structure-Coherent CT Super-Resolution

Becerra, Helard

• [SASHIMI] WAND-CXR: A Morphometric Wasserstein Metric for Evaluating Anatomical Plausibility in Synthetic Chest Radiographs

Bechar, Mohammed El Amine

• [EMERGE] Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

Beckley, Oserebameh Augustine

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Bedi, Amrit Singh

• [MedAgent] Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care

Bedrossian, Sandra

• [UNSURE2026] Explanation Uncertainty in the Classification of Pulmonary Nodules

Beeche, Cameron

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Beer, Rohit

• [ShapeMI] DINE: Distance Is Not Enough Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration

Beets-Tan, Regina

• [MLMI] Representation Matters: Rethinking Domain Generalization in Polyp Segmentation

Beghdadi, Azeddine

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Behzadan, Vahid

• [iMIMIC] Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs
• [UNSURE2026] Predictive Entropy as a Joint Screen for Error and Paraphrase Instability in Medical Vision-Language Models

Bejar, Andrea M.

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Bekkers, Erik J.

• [ShapeMI] Cardiac Shape Priors for Equivariant Neural Field Representations of Cine MRI

Bektaş, Kenan

• [ASMUS] An Eye Tracking Study on the Ultrasound Inspection Strategies of Expert and Novice Sonographers

Belardo, Alfonso

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Belbahri, Reda

• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Belinchón Castro, Sara

• [iMIMIC] Anatomical Information or Domain Shortcuts? Probing Image- and Shape-Based Embeddings in Ear CT with Landmark-Derived Features

Bell, Andrew

• [Off-Grid] Learning Cardiac Motion Priors for Implicit Neural Representations

Bell, Sarah L.

• [MI4MedFM] AUC Is Not Enough: Compression Can Preserve Classifier Performance While Altering Interpretable Structure in Pathology Embeddings

Bell, William R.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Bellatif, Zayneb

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Bellmann, Louis

• [ODIN-challenges] RGBite: Vision-Language Report Generation for the ODIN 2026 Challenge
• [HEADLINE] CIRCA: Maximising Per-Slice Detail for Head-CT Report Generation with a Windowed-RGB and Split-Slab Bone-Projection Representation for the HEADLINE Challenge

Bello, Rotimi-Williams

• [MIRASOL] Frugal and Agentic AI for Medical Imaging in Resource-Constrained Settings: A Sustainable Framework

Belousova, Kseniya

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Ben Chaaben, Zeineb

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening
• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

Ben Haddou, Soufiane

• [ShapeMI] Cardiac Shape Priors for Equivariant Neural Field Representations of Cine MRI

Ben Loussaief, Eddardaa

• [MedAGI] TopoMedKD: Shape- and Topology-Aware Distillation of Zero-Shot MedSAM for Compact Medical Image Segmentation

Ben Salem, Ahmed

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Ben Youssef, Mohamed Ali

• [DGM4MICCAI] Synthetic Data Generation for Automated Hair Instance Segmentation in Trichoscopy

Bendazzoli, Simone

• [BraTS-METS] Detege et Delinea: A Two-Stage Framework for Brain Metastasis Detection and Segmentation in Multimodal MRI
• [BraTS-Inpainting] Retrieval-Augmented Wavelet Diffusion for Local Synthesis of Healthy Brain Tissue
• [ADSMI2024] Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

Bendechache, Malika

• [OMIA] ReGraFT: Broad Multi Label Retinal Disease Classification on MuRFiD

Bender, Jule

• [STACOM] Beyond the Left Atrium: Joint Generative Modeling of Bi-Atrial Anatomy

Benders, Manon J. N. L.

• [PedAItrics] Cross-cohort Transfer for Label-efficient Neonatal HIE Lesion Segmentation with Weak Supervision and Pseudo-normative Spatial Priors
• [MLMI] Are robust loss functions still relevant for medical image segmentation with noisy labels?

Bengtsson, Max

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Benhabiles, Halim

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction

Benitez, Benito K.

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Bennett, Jeddy

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

Bennink, Edwin

• [SWITCH] Infarct Core Segmentation on Spectral CT Angiography using a Data-Uncertainty-Aware U-Net

Bentahar, Jamal

• [MIRASOL] Effect of Pretrained Initialisation and Component-Wise Tuning on Lightweight VLMs for Ultrasound Report Generation

Bento, Mariana

• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction
• [FAIMI-BRIDGE-EPIMI] An Intersectional Fairness-Aware Framework for Alzheimer’s Disease Detection Using Multimodal Data

Benyahia, Mohammed Oussama

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Benyó, Balázs

• [AIMS-TBI] ATVNet: Adaptive Transformer-Enhanced V-Net for Automated msTBI Lesion Segmentation

Benzazon, Nathan

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

Bercea, Cosmin I.

• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions
• [ADSMI2024] Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations

Berens, Philipp

• [iMIMIC] Towards Interpretable Foundation Models for Retinal Fundus Images
• [FAIMI-BRIDGE-EPIMI] Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening
• [AFRICAI] Beyond External Validation: Evaluating the Deployment Readiness of Medical Imaging AI in an African Clinical Context through Diabetic Retinopathy Screening

Bereska, Jacqueline I.

• [UNSURE2026] Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Berger, Charles

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas

Bergman, Jacques J.

• [DEMI2026] Quality-Controlled Keyframe Sampling using Endoscopic Foundation Models

Berhane, Haben

• [CMRxRecon2026] Complex-Valued and State-Augmented Variational Networks for Accelerated 4D Flow MRI Reconstruction

Beristain-Iraola, Andoni

• [DT4H] Towards surgical digital twins: a soft-tissue phantom study on stiffness-ratio calibration for AR-guided interventions

Berkovic, Patrick

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Berman, Bailey

• [MLCN-2026] Network Alterations Precede Atrophy in Alzheimer’s Disease Progression Subtypes

Bernabeu, Miguel O.

• [OMIA] Compress to Scale: Semantic Token Reduction for High-Resolution Retinal Image Analysis

Bernal, Jose

• [SASHIMI] Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Bernard, Olivier

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking
• [STACOM] TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

Bernardino, Alexandre

• [GRAIL] TumorGraphs: Patient-Level Fusion of Multi-WSI Histopathology

Bert, Julien

• [MIART] Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis

Berthezène, Yves

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging
• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Berton, Lilian

• [FAIMI-BRIDGE-EPIMI] Loss-Conditioned Utility-Fairness Boundary Modeling for Medical Imaging

Bertram, Christof A.

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Bertrand, Vinceline

• [Deep-Brea3th] Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography

Bescos, Javier Olivan

• [AMAI] Association of Cardiovascular Risk Factors with Segmentation-Free Motion-Derived Coronary Artery Dynamics

Bessadok, Alaa

• [TIA] Scene-Graph Contrastive Pretraining with Concept-Based Hard Negatives for Radiology Report Generation

Bestavemula, Suhrit

• [UNSURE2026] When Does Prompt-Perturbation Uncertainty Catch Interactive-Segmentation Failures? An Empirical Study on SAM/MedSAM

Bethard, William E.

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT

Beuret, Samuel

• [ASMUS] UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound

Bezek, Can Deniz

• [RIME] DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction

Bezza, Thomas

• [AMAI] Predicting Clinically Actionable LUAD Mutations from Whole-Slide Histopathology Using Prov-GigaPath Foundation Model Embeddings

Beşparmak, Melike

• [CARE] Left Atrial Scar Quantification from LGE-MRI: A Controlled Ablation and Detectability Study

Bhalodiya, Jayendra M.

• [BraTS-GoAT] A Self-Configuring Model versus Fused Ensembles for Brain Tumor Segmentation on the BraTS-GoAT Benchmark

Bhandari, Sanjay

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Bhat, Sheethal

• [OMIA] Retina-RAG: Retrieval-Augmented Vision–Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation
• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Bhat, Swapnil

• [REG2026] Grounded Ontology Walker: Interpretable Diagnostic Reasoning and Report Generation for Whole Slide Images

Bhathawala, Tirath

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Bhatt, Jignesh S.

• [OMIA] A Novel Recursive Mamba Encoding for Retinal Artery-Vein Segmentation in MedTech Applications

Bhattacharjee, Sourav

• [CaPTion] Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer

Bhattarai, Binod

• [DEMI2026] Depth-Enhanced LoRA-Tuned VLMs for Hand and Tool Keypoint Detection in Surgical Scenes
• [DEMI2026] Subspace-Based Auditing of Bottlenecks in Retinal Fundus Foundation Embeddings

Bhattarai, Kritam

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Bhatti, Omair Shahzad

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Bhowmick, Kiran

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Bhuiyan, Mohammad Robaitul Islam

• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Bhuiyan, Siam Tahsin

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities
• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Bhushan, Chitresh

• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Bhutani, Arshnoor

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Bi, Yuan

• [FoundUS] Towards Universal Ultrasound Biometry with Task-aware Foundation Models

Bian, Yutong

• [BraTS-METS] Lesion-Aware Hybrid State-Space and Residual-Encoder Fusion for Brain Metastasis Segmentation

Biancardi, Alberto M.

• [TIA] Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN and Transformer Architectures
• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Bianchi, Jonas

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Bibault, Jean-Emmanuel

• [SASHIMI] A Latent Single-Step Network is Sufficient for Accurate CBCT-CT Translation

Bickelhaupt, Sebastian

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Bidart, Rene

• [EchoRisk] General vs. Echo-Specific Video Foundation Models for Echocardiographic Risk

Bieder, Florentin

• [ShapeMI] AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning
• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations
• [MIART] 4D Pencil Beam Treatment Plan with Conditional Weight Predictions

Bietenbeck, Michael

• [CMRSeg] Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

Biffi, Carlo

• [CaPTion] Efficient Self-Supervised Pre-Training in Endoscopy

Bijva, Aryan

• [OMIA] Diagnosing Adaptation Failure Modes in Foundation Models for RNFL Thickness Prediction

Bilal, Hazrat

• [OMIA] ReGraFT: Broad Multi Label Retinal Disease Classification on MuRFiD

Bilal, Muhammad

• [MI4MedFM] Counterfactual Activation Patching of Pleural-Effusion Boundary Failures in MedSAM

Billah, Mustain

• [EMA] MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings

Binder, Harald

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Binder, Julia

• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Binoy, Neha Ann

• [ODIN] Diagnosis-Aware Multimodal Retrieval for Paired CBCT Scans and Clinical Notes

Bintsi, Kyriaki-Margarita

• [cdmri] Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology
• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Birch, Philip

• [MLMI] Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Birhanu, Mahlet A.

• [AFRICAI] Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Bisdas, Sotirios

• [MLMI] Beyond Global Macro-AUC: Class-Wise Modality Contribution in Multicentre MRI-Based Glioma Grading

Bise, Ryoma

• [MISO] Leveraging Cell-level Spatial Transcriptomics as Weak Supervision for Nuclei Classification
• [AMAI] Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels
• [ADSMI2024] Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

Bissoto, Alceu

• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification

Bissu, Sita

• [MIRASOL] Local Audit Certification of Transferred Medical Imaging Models in Resource-Constrained Settings

Biswas, Suparna

• [TIA] Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
• [TIA] Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Bizjak, Žiga

• [SWITCH] Decoupled Node Localization and Edge Assignment for Vascular Graph Reconstruction

Bjoernstrup, Hjalte

• [BraTS-Inpainting] CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

Bjørnerud, Atle

• [ISLES] Adaptive Post-Processing Drives Instance-Level Detection in Stroke Lesion Segmentation
• [AIMS-TBI] A U-Net for Automated msTBI Lesion Segmentation

Blanes-Vidal, Victoria

• [MI4MedFM] The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Blankevoort, Leendert

• [AMAI] Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Blasi, Marc E.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Blezek, Daniel

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Blokx, Willeke

• [COMPAYL] AutoVLAK - An Automated Pipeline for Vision-Language Knowledge Base Curation from Open-Access Medical Literature

Boccadifuoco, Alice

• [SWITCH] Projection-Based Quality Assessment of Cerebrovascular Segmentations

Bocchetta, Martina

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Bodanapally, Uttam K.

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Bodard, Sylvain

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Bodduluri, Sandeep

• [Off-Grid] Piecewise Positional Encodings (PPE) for Medical Image Representation
• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Boeker, Martin

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Boellaard, Ronald

• [UNSURE2026] Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Bogojeska, Jasmina

• [DGM4MICCAI] Recovering Progression Beyond the Identity Shortcut: A Schrödinger Bridge Framework for Longitudinal Brain-MRI

Bogs, Laura

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections

Bogunović, Hrvoje

• [OMIA] Topology-Aware Staged Diffusion for Multi-Vendor Retinal OCT Fluid Segmentation

Boissière, F.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Bolelli, Federico

• [ODIN-challenges] Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT
• [ODIN] A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Bollepalli, Sri Sai Hemanth

• [BraTS-METS] Region-Aware Residual Encoder nnU-Net for Multi-Region Brain Metastasis Segmentation

Bommaraveni, Shriya

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Bond, David C.

• [ISIC] Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Bonnici, John

• [SASHIMI] Few-Shot Flow Matching with Stochastic Barycentric Sampling for Image Synthesis
• [ASMUS] Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Bonsu, Felix Osei

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Boonzaier, Willem P. E.

• [MIRASOL] Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings
• [MIRASOL] Towards CPU-Deployable nnU-Net: Training-Free Sensitivity-Guided Compression Across Clinical Domains
• [BraTS-METS] Clinically Informed, Dataset-Adaptive Lightweight Segmentation of Brain Metastases within the nnU-Net Framework

Borak, Martyna

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Bordigoni, Bianca

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Borghesi, Andrea

• [MAMA-SYNTH] MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

Borghi, Lorenzo

• [ODIN] A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Borkar, Kushal

• [HAIC26] IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets

Bornberg, Christina

• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations

Bortolami, Carlotta

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Bortsov, Richard

• [SWITCH] Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Bos, Daniel

• [SWITCH] Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Bose, Moinak

• [BraTS-METS] Resection-Cavity-Aware Segmentation of Brain Metastases for BraTS 2026

Bossy, Thierry

• [HemaRAI] Comparing Centralized and Federated Learning for ECG-Based Chagas Disease Detection

Botteron, Kelly N.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Bouix, Sylvain

• [cdmri] Experimental Study of the Impact of Virtual Reality on Fiber Bundle Editing and Annotation

Boukhiar, Naima

• [HECKTOR] A Dual-Branch Fusion Pipeline for Head and Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival Prediction: HECKTOR 2026

Boukhriss, Yasmine

• [STACOM] Continuous Volumetric Cardiac Motion Modelling for Analytical Derivatives from Cine MRI

Bourbonne, Vincent

• [MIART] Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis

Bourcier, Romain

• [TopAneu] VaMosV2: A Multi-step Procedural Model That Generates Full 3D Synthetic MRA Volumes for Data Augmentation in the TopAneu ICA Segmentation Challenge

Bourdès, Valérie

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Bouvrais, Hélène

• [MLMI] Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging

Bovo, Stefano

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Bowman, Loretta

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Bozkurt, Rana Gunoz Comert

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Bozorgpour, Afshin

• [MLMI] MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation
• [COMPAYL] HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology
• [COMPAYL] FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Bozorgtabar, Behzad

• [TIA] Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation

Brackenier, Yannick

• [HECKTOR] BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology
• [CaPTion] DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

Brahim, Ikram

• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices

Brahimetaj, Redona

• [Deep-Brea3th] Fusion of Topological Data Analysis and Radiomics for High-Resolution 3D Breast Microcalcification Classification

Brandt, Johannes

• [TIA] Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models

Braren, Rickmer

• [TIA] Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models

Brat, Gabriel A.

• [DEMI2026] Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation

Brattain, Laura J.

• [MIRASOL] Soft Temporal Scoring Using a Foundation Model: Optimal Frame Selection for Improved ONSD Measurement in Ultrasound Videos
• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Bratulescu, Vlad

• [ShapeMI] ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion

Bratulić, Jelena

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Braun, Mathias

• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Braunmiller, Florian

• [MLMI] Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging

Brecheisen, Ralph

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

Breen, Jack

• [COMPAYL] Morphospatial Phenotyping of p21-Positive Hepatocytes in Chronic Liver Disease

Breeuwer, Marcel

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

Breininger, Katharina

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
• [CAPI-WOMEN] Evaluating the Prompt-to-Automation Gap: A Comprehensive Benchmark for Laparoscopic Endometriosis Segmentation
• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Bressem, Keno

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening
• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care
• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

Bretschneider, Till

• [MRIxFields2026] Fast Cross-Strength Multi-Contrast Brain MRI Translation using Latent Bridge Matching

Breucker, Daniel

• [AMAI] Association of Cardiovascular Risk Factors with Segmentation-Free Motion-Derived Coronary Artery Dynamics

Briassouli, Alexia

• [SAFER] When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning

Bridge, Christopher P.

• [Deep-Brea3th] Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations
• [DGM4MICCAI] Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff
• [COMPAYL] Thumbnail-Based Tile Selection for Efficient Whole-Slide Image Classification in Resource-Limited Pathology

Brigato, Lorenzo

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Brightling, Christopher E.

• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Brisset, Jean-Christophe

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Brock, Kristy K.

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation
• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Broek, Ruben van den

• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Broggi, Sara

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Bron, Esther E.

• [MLCN-2026] Network Alterations Precede Atrophy in Alzheimer’s Disease Progression Subtypes
• [AFRICAI] Do Medical Foundation Models Generalize on the African Brain?

Bronstein, Alex M.

• [GRAIL] GraphSVR: q-Space–Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI

Brosig, Johanna

• [MVAA] Multimodal Mitral Valve Segmentation: Mesh-Based 3D and Depth-Transfer Learning

Brouwer, Charlotte L.

• [MIART] Which Edits Matter? Simulating Realistic Local Corrections to Organ-of-Interest DL Segmentation and Predicting Dosimetric Impact
• [MIART] Recognizing Dosimetrically Irrelevant Edits of Auto-Segmentations in Head and Neck Organs of Interest

Brown, Christopher A.

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Brown, James

• [STACOM] Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement

Browne, Jacinta

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Brox, Thomas

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Bruch, Michelle

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Brudkiewicz, Katharine

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Brui, Ekaterina

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Bruining, David

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Brunet, Joseph

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Bruno, Elisa

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Brunt, Keith

• [MedAgent] From Metrics to Insight: Agent-Based Comprehensive Evaluation of Medical Image Segmentation

Bryson, Gareth

• [MI4MedFM] AUC Is Not Enough: Compression Can Preserve Classifier Performance While Altering Interpretable Structure in Pathology Embeddings

Brüningk, Sarah

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction
• [MedAGI] A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma
• [EMA] Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation
• [COMPAYL] Investigating Test-Time Training for Patch Classification in Pathology

Bubeck, Niklas

• [STACOM] No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

Budai, Bettina Katalin

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Budinger, G. R. Scott

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Buernorkie Agbugblah, Doreen

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Buess, Lukas

• [REG2026] Reporting Without Generating: Retrieval-Based Chain-of-Thought Answering for Pathology

Buessen, Anne Tjorven

• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Bui, Dang-Nguyen

• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Bui, Doanh C.

• [CLiMeM] Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

Bui, Ngoc Lam Quang

• [COMPAYL] ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Bui, Phuoc-Nguyen

• [MedAGI] Frequency Adapter with SAM for Generalized Medical Image Segmentation
• [EMA] Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Bui, Quang

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Buijs, Sacha E.

• [ShapeMI] Cardiac Shape Priors for Equivariant Neural Field Representations of Cine MRI

Buisson, Alexandre

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Bukas, Christina

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Bukhari, Mohammad Abdullah

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot
• [FoundUS] Multi-Task Landmark Detection for Fetal and Cardiac Ultrasound Biometry under Label Scarcity

Bukhari, Syed Ahmad Chan

• [MWM] CalTwin: Calibrated Shift-Robust Medical World Models via Fisher-Information Regularization

Bum, Junghyun

• [MedAGI] Frequency Adapter with SAM for Generalized Medical Image Segmentation

Bunnell, Arianna

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Buoso, Stefano

• [DT4H] Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins

Buralkin, Ilia

• [FoundUS] A Unified Multi-Task Model for Ultrasound Biometry Landmark Detection under Extreme Label Scarcity

Burns, Jane

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI

Burnwal, Returaj

• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data

Busch, Alexander Siegfried

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Butler, Kurt

• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

Butterworth, James

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Buzduga, Paula

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Buzzanca, Giorgio

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Bwire, Patience

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Byeon, Keunho

• [MISO] MINT-ST: Multi-Dataset Integration and Pretraining for Histology-Based Spatial Transcriptomics Gene Expression Prediction

Byra, Michal

• [Off-Grid] Probing implicit neural representations for biomedical image classification in weight space

Báez Suárez, Abraham

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Bône, Alexandre

• [CaPTion] A Unified Multi-Organ Framework for Universal Lesion Detection, Segmentation and Longitudinal Tracking in CT Imaging

Böke, Ekin

• [UNSURE2026] Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation

Büchler, Philippe

• [SASHIMI] RECON: Restoration-Guided Conditioning for Thin-Structure-Coherent CT Super-Resolution

Bünger, Nicholas

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Büschl, Paul

• [Off-Grid] Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion

C, Sneha Sree

• [MLMI] Efficient Test-Time Optimization via Knowledge Distillation for Modality-Agnostic Medical Image Registration

Cabezas, Mariano

• [AIMS-TBI] nnU-Net and Domain Randomization for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury

Cabioglu, Neslihan

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Cahan, Noa

• [SASHIMI] From Undersampled to Diagnostic: Flow-Translated Embeddings for Knee Pathology Classification in Accelerated MRI
• [SASHIMI] SymmAdapt: Symmetrical Flow Matching for Source-Free Domain Adaptation in Medical Image Segmentation

Cahyaningsih, Retno Dwi

• [EMA] Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled Vision-Language Models

Cai, Jiacai

• [MRIxFields2026] Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge
• [LISA] Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis

Cai, Jing

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Cai, Lishan

• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction

Cai, Shifei

• [COMPAYL] Act or defer? Multimodal intraoperative diagnosis of CNS tumours: A proof-of-concept study

Cai, Yin

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Cai, Zhenghua

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Caiani, Enrico

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Cakmak, Jasmine

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings

Calabrese, Evan

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Calcagno, Salvatore

• [AFRICAI] ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

Caldwell, David

• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Caleme, Eduardo

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes

Calista, Evelyne

• [BraTS-Inpainting] Geometry-Aware Conditional 3D Wavelet Diffusion for Pseudo-Healthy Brain MRI Inpainting

Calisto, Francisco Maria

• [Deep-Brea3th] Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Callens, Dylan

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Callister, Matthew E. J.

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Camara, Mamadou Samba

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Camara, Oscar

• [STACOM] Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion
• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Campbell, Abraham

• [CaPTion] Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer

Campi, Francesco

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Camps, Julia

• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins

Canals, Pere

• [SWITCH] Contrastive Alignment and CT-Guided Distillation for Ultrasound-Only Intracerebral Hemorrhage Screening

Canastra, Gonçalo

• [Off-Grid] NIMOSEF-R: Neural Implicit Motion and Segmentation Functions with Riemannian Embedding Priors and Breath-Motion Correction

Cang, Dongcheng

• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins

Cannito, Michele

• [RHEUM-AI] Ordinal DINOv2 Transfer for Joint-Level SvdH Scoring: What Helps and What Does Not

Cano, Pau

• [CaPTion] Attention-based prediction of lymph node status in pt1 CRC using a histopathology foundational model

Cao, Bo

• [ADSMI2024] Variational multimodal distillation for diagnosing plaque vulnerability in carotid 3D MRI

Cao, Chao

• [MLMI] Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Cao, Chun

• [MVAA] Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video
• [LISA] A Modular Multi-Model Framework for Multi-Structure Segmentation of Ultra-Low-Field Pediatric Brain MRI

Cao, Dang P. M.

• [UNSURE2026] Beyond Uncertainty: Generalizable Failure Monitoring for Surgical Segmentation under Acquisition Degradation
• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation
• [FAIMI-BRIDGE-EPIMI] When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation
• [DT4H] When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

Cao, Le

• [OMIA] A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

Cao, Peng

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy

Cao, Qing

• [MVAA] Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation
• [EchoRisk] A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction

Cao, Tianyang

• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition

Cao, Xiaofeng

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Cao, Yiheng

• [MedAgent] AgentQC: Policy-Constrained Agentic Assessment of Task-Aware Reliability in Medical Imaging Datasets

Cao, Ying

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Cao, Yingying

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Cao, Yuan

• [SASHIMI] Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Cao, Yufei

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Cao, Zhongzheng

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis

Cap, Quan Huu

• [BraTS-Inpainting] RESIN: Residual Synthesis for Healthy-Tissue Inpainting in Brain MRI

Cappellini, Luca A.

• [BraTS-METS] Ensemble nnU-Nets for pre- and post-operative Brain Metastases Segmentation in BraTS 2026 Task 1

Caprara, Sebastiano

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Caputo, Andrea

• [HemaRAI] A Novel Semi-Supervised Approach for Red Blood Cell Shape Analysis in Flow

Caramalau, Razvan

• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Carass, Aaron

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping
• [EMA] Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models

Carbone, Francesco Giuseppe

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Cardan, Rex

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Cardei, Ionut

• [Deep-Brea3th] Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography

Cardenas, Carlos E.

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Cardoso, M.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Cardoso, M. Jorge

• [HAIC26] Adapt While You Annotate: The Missing Complement to Interactive Segmentation
• [FAIMI-BRIDGE-EPIMI] Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

Carnevale, Maria Grazia

• [MIART] Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study

Carns, Mary

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Carp, Stefan A.

• [Deep-Brea3th] Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations

Carpentiero, Omar

• [ODIN-challenges] Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT

Carrera Rodríguez, Brahian

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Carrizales, Joshua W.

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT

Carrière, Victoria-Mae

• [MWM] Inside the Preparation: Multimodal CBCT–Intraoral Scan Fusion for Dental Preparations

Carstensen, Justin

• [COMPAYL] RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Carstensen, Marvin

• [COMPAYL] RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Cartaya Lathulerie, Agustin

• [MRIxFields2026] Latent Conditional Rectified Flow for MRI Synthesis Across Modalities and Field Strengths in the MRIxFields2026 Challenge

Cartry, Jérôme

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Caruso, Camillo Maria

• [SASHIMI] Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching
• [MedAgent] Evaluating Procedural Tool-Calling in AI Agents for Lung Cancer Workflows

Carvalho Costa, Matilde

• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Casamitjana, Adrià

• [MRIxFields2026] Latent Conditional Rectified Flow for MRI Synthesis Across Modalities and Field Strengths in the MRIxFields2026 Challenge
• [AIMS-TBI] nnU-Net and Domain Randomization for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury

Cassard, Sandra D.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior

Castaneda Gavina, Eduardo

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation

Castaneda, Luis Marin

• [MIRASOL] Soft Temporal Scoring Using a Foundation Model: Optimal Frame Selection for Improved ONSD Measurement in Ultrasound Videos

Castaniti, Bianca Destro

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Castañeda-Bedoya, José Miguel

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Castelli, Joël

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Castelo, Austin

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation
• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Castillo, Aron Aliaga-Del

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging

Castillo, Edward

• [TIA] Interpretable Region-wise Gated CT–Ventilation Fusion for FEV1 Prediction in COPD

Castrillón, Gabriel

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Castro, Edgar Eduardo Romero

• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Castro, Gabriela

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Cattadori, Martina

• [ODIN] AI-Based Landmark Detection for Condylar Asymmetry Assessment in Patients with Juvenile Idiopathic Arthritis

Cattin, Philippe C.

• [ShapeMI] AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning
• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations
• [MIART] 4D Pencil Beam Treatment Plan with Conditional Weight Predictions
• [EMA] Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation

Causio, Francesco Andrea

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Cavallo, Anna

• [MIART] Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study

Cánovas-Cerezo, José Francisco

• [BraTS-PEDs] Modelling the Infiltrative Margin as a Graded Target: Reaction–Diffusion Soft Labels and Region-Specific Ensembling for Paediatric Brain Tumour Segmentation

Ceballos, Hannah

• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Cechnicka, Sarah

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology
• [ASMUS] Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Cedilnik, Nicolas

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Ceja, Zuriel

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Celaya, Adrian

• [BraTS-GoAT] MISFIT: A Self-Supervised Pretraining Toolkit for 3D Medical Imaging — A Preliminary Test Across Three BraTS 2026 Segmentation Tasks

Celi, Leo Anthony

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Celik, Rabia Gokcen Gozubatik

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Cengiz, Umut Alperen

• [CARE] Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI

Ceran, Yasin

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Ceranka, Jakub

• [Deep-Brea3th] Fusion of Topological Data Analysis and Radiomics for High-Resolution 3D Breast Microcalcification Classification
• [DGM4MICCAI] Large-Volume Conditioned 3D Latent Diffusion Models for CT Metal Artifact Suppression

Cevidanes, Lucia H.

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Cha, Sojeong

• [TREAT-MMTB] Global-to-Local Segmentation and Context-Aware Detection of Tuberculosis Cavity in Chest X-rays

Chabert, Steren

• [LISA] Rigor over Novelty in Ultra-Low-Field Pediatric Brain MRI: Quality Control and Subcortical Segmentation for the LISA Challenge 2026

Chabi, Negar

• [UNSURE2026] Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift

Chabi, Wahabou K. Taba

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Chabin, Guillaume

• [ShapeMI] SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections

Chafi, Imane

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform
• [MWM] Inside the Preparation: Multimodal CBCT–Intraoral Scan Fusion for Dental Preparations

Chaichakan, Tanatta

• [DGM4MICCAI] Leveraging Multi-Representation Features from Diffusion Models for Unsupervised 3D Medical Image Segmentation

Chaitanya, Krishna

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Chakkaravarthy, Abhilash

• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Chakraborty, Suvadip

• [DGM4MICCAI] FedDSR: Codebook-Based Distribution Alignment for Heterogeneous Federated CT Super-Resolution

Chakravarti, Arnab

• [BraTS-METS] Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector

Chamberlain, Victoria

• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Chami, Alessa

• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

Champanda, Daniel

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings

Chan, Angela Zaneta

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Chan, Cheong Kin Ronald

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Chan, Jany

• [BraTS-METS] Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector

Chan, Jonathan H.

• [EchoRisk] Motion-Aware Multi-Stream Learning for Subclinical LV Dysfunction Detection from Echocardiography Videos

Chan, Mark Y.

• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins

Chan, Sherman

• [BraTS-METS] Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector
• [BraTS-GoAT] Regions7525_DA5: Harnessing Adaptations of Existing nnU-Net Features to Improve Generalizability of Brain Tumor Segmentation

Chan, Weng Ian

• [ADSMI2024] Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages

Chandok, Ishsirjan Kaur

• [MLMI] Leakage-Controlled Resting-State Connectome Classification of Schizophrenia: A Nested Cross-Validation Audit of the COBRE Cohort

Chang, Amanda

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Chang, Chia-Ping

• [REG2026] Slide-Impression-Guided Modular Reasoning for Pathology Report Generation

Chang, Chih-Wei

• [DT4H] Anticipatory Digital Twins for Online Head-and-Neck Adaptive Proton Therapy via Foundation-Model Registration

Chang, Ho-Hsin

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Chang, Ting-Yi

• [HECKTOR] Modernizing nnU-Net with Convolutional SwiGLU for Segmentation, Staging, and Prognosis in HECKTOR 2026

Chang, Violeta

• [MIRASOL] LDCT-to-SDCT as a Bridge Problem: Single-Step Residual Endpoint Flow Matching for Real-Time Denoising

Chao, Heng-Sheng

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Chao, Tzu Cheng

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Chatelain, Yohan

• [UNSURE2026] Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

Chato, Lina

• [BraTS-METS] Resection-Cavity-Aware Segmentation of Brain Metastases for BraTS 2026

Chatterjee, Sudhanya

• [RIME] Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction
• [MLMI] Model-based distortion correction for Magnetic Resonance Echo Planar Imaging
• [MLMI] Efficient Test-Time Optimization via Knowledge Distillation for Modality-Agnostic Medical Image Registration

Chattopadhyay, Tamoghna

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Chaudhari, Akshay S.

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Chaudhary, Muhammad F. A.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
• [EMA] Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models

Chaudhary, Nachiket

• [RIME] TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

Chauhan, Garima Ketan

• [CaPTion] Learning Tissue Interactions for Pathological T-Staging of Rectal Cancer from Whole-Slide Images

Chauhan, Joohi

• [PIPPI] Shape-DNA Spectral Analysis of Lesion Morphotypes in Paediatric-Onset Multiple Sclerosis
• [MedAgent] CLAP-4-QnA: An Agentic Graph-RAG Pipeline for SNOMED-CT-Grounded Clinical Question Answering
• [FAIMI-BRIDGE-EPIMI] Gradient Erasure and Contributory Injustice in Federated Medical Imaging AI
• [BrainWorks] Direct Mask-Perturbation Auditing for Geometry-Derived Brain Lesion Biomarkers

Che, Haoxuan

• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation

Che, Zengyang

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Checiu, Denisa

• [ShapeMI] Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

Chekkoury, Andrei

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Chen, Bailiang

• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Chen, Beiqi

• [DT4H] PanOCT: A Unified OCT-based Whole-Eye Reconstruction Framework for Ocular Digital Twin Construction

Chen, Chao

• [CARE] A Unified Registration-Guided 3DINO Framework for Semi-Supervised Liver Segmentation and Patch-Based Liver Fibrosis Staging under Missing Modalities

Chen, Charles

• [UNSURE2026] SegWithU: Deterministic Perturbation Probes for Single-Backbone-Pass Risk-Aware Medical Image Segmentation

Chen, Chen

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation
• [AMAI] Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI
• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Chen, Chenghan

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Chen, Chi-Sheng

• [DEMI2026] Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation

Chen, Chien-Chang

• [BraTS-METS] ACORN: Asymmetric Conditional Overlapping RAVSS Network for Segmenting Small Brain Metastases

Chen, Edward S.

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation

Chen, Guo

• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

Chen, Haoyuan

• [MWM] TNCMeasure: Anatomy-Guided and Geometry-Constrained Vision-Language Learning for Thyroid Nodule-to-Capsule Distance Measurement

Chen, Hongzhuo

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Chen, Jiajun

• [EchoRisk] Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment

Chen, Jiaqi

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Chen, Jingkun

• [CARE] Decoupling Supervision and Recoupling Context: Reliability-Aware Soft-Prior Learning for Myocardial Scar and Edema Segmentation
• [CARE] CIRSeg: Coarse-to-Fine Intensity-Robust Liver Segmentation with Source-Free Continual Test-Time Adaptation
• [CARE] Structure-Reliability-Guided ROI and Donor Fusion for Multi-Center MR Whole-Heart Segmentation
• [CARE] AGSW-LAMS: Adaptive Gaussian Soft Windowing for Left Atrial Multi-Structure Segmentation

Chen, Jiongquan

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Chen, Jishizhan

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Chen, Junbo

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Chen, Junxiao

• [MVAA] SurgNeXt: Structured Semantics and Target Presence for Mitral Valve Segmentation in Surgical Video
• [FoundUS] Stable Landmark Identity and Unlabeled Adaptation: A ConvNeXt Framework for FoundUS 2026

Chen, Kang

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Chen, Ke

• [BraTS-Path] Patch-Level Glioblastoma Subregion Classification with Foundation Model and Hierarchical Balanced Sampling

Chen, Kuo-Wei

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Chen, Li-Fen

• [MLCN-2026] Do CNNs Learn Clinically Meaningful Imaging Representations? A Portable Multi-level Representation Audit for Brain Tumor MRI Classification

Chen, Lifan

• [MWM] TNCMeasure: Anatomy-Guided and Geometry-Constrained Vision-Language Learning for Thyroid Nodule-to-Capsule Distance Measurement

Chen, Linxin

• [MRIxFields2026] Physics-Conditioned Latent Diffusion Bridges for Ultra-Low-Field to Multi-Field MRI Synthesis

Chen, Lumin

• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale

Chen, Meixu

• [HECKTOR] HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

Chen, Mingcong

• [CREATE] AI-Guided User Interface Enables Standardized Carotid Ultrasound Scanning After Minimal Training: A Comparative Experimental Study

Chen, Mingjin

• [MedAgent] Agentic Visual Evidence Construction and Review Architecture for Medical VQA
• [MedAgent] HarmoAgent: An Autonomous LLM Agentic Framework for Adaptive and Traceable Multi-Site MRI Harmonization

Chen, Minheng

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease
• [MLMI] Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Chen, Nathan

• [BraTS-GoAT] GAT-26: Release-Path Auditing and Confirmation-Gated Inference Selection for Cross-Tumor Brain Tumor Segmentation

Chen, Qiufeng

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Chen, Qixian

• [MedAgent] Agentic Visual Evidence Construction and Review Architecture for Medical VQA

Chen, Richard R.

• [COMPAYL] MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention

Chen, Riqing

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Chen, Ruiyang

• [EchoRisk] Pretrained Echocardiography Video Models for LVEF Estimation and LV Dysfunction Classification

Chen, Rusi

• [MLMI] Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction
• [FoundUS] LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry

Chen, Shannan

• [SASHIMI] nnDiffusion: A Standardized 3D Diffusion Framework for Medical Image Synthesis

Chen, Sida

• [MVAA] Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video

Chen, Sihan

• [MVAA] Task-Specific Segmentation Frameworks for Multi-Modal Mitral Valve Tasks in MVAA2026

Chen, Siming

• [OMIA] Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification

Chen, Tao

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation
• [CaPTion] TRAIL: Trajectory-Aware Reward Attribution and Inference for Longitudinal Multiple Myeloma Treatment Trajectories

Chen, Tong

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease
• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Chen, Wanwen

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Chen, Wei-An

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Chen, Weiyi

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Chen, Wenjin

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Chen, Xi

• [HEADLINE] Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

Chen, Xiaoan

• [CARE] Decoupling Supervision and Recoupling Context: Reliability-Aware Soft-Prior Learning for Myocardial Scar and Edema Segmentation
• [CARE] Structure-Reliability-Guided ROI and Donor Fusion for Multi-Center MR Whole-Heart Segmentation
• [CARE] AGSW-LAMS: Adaptive Gaussian Soft Windowing for Left Atrial Multi-Structure Segmentation

Chen, Xiaojie

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Chen, Xin

• [CARE] A Unified Registration-Guided 3DINO Framework for Semi-Supervised Liver Segmentation and Patch-Based Liver Fibrosis Staging under Missing Modalities

Chen, Xu

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Chen, Xue

• [BraTS-METS] Gated Frequency-Enhanced Class-Wise Ensemble for Brain Metastases Segmentation

Chen, Yabin

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Chen, Yan

• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Chen, Yang

• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR
• [MWM] SurgGenesis: A Generative Surgical World Model for Future-Aware Surgical Understanding

Chen, Yaxi

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Chen, Yi

• [MRIxFields2026] Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation
• [AMAI] BARW-GP: Workload-Aware Threshold Selection for Multi-Label Medical AI Alerting Across Chest X-ray and ECG

Chen, Yifei

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
• [FoundUS] CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Chen, Yijie

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Chen, Yineng

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Chen, Ying-Jung

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Chen, Ying-Yuan

• [FAIMI-BRIDGE-EPIMI] Equal Accuracy, Unequal Agreement: Auditing Clinician–AI Agreement Fairness in Lung Nodule CT

Chen, Yinshan

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Chen, Yirong

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Chen, Yixin

• [REG2026] Diagnosis-Conditioned Retrieval for Structured Pathology Workflows
• [MVAA] Failure-Mode-Driven Multimodal Mitral Valve Segmentation for the MVAA 2026 Challenge
• [CMRSeg] Acquisition-Structured nnU-Net Ensembles for Multi-Sequence Cardiac MRI Segmentation and Quantification

Chen, Yong

• [BraTS-PEDs] LoG-Augmented nnU-Net Ensemble for Pediatric Brain Tumor Segmentation

Chen, Yong-Sheng

• [BraTS-Inpainting] Geometry-Aware Conditional 3D Wavelet Diffusion for Pseudo-Healthy Brain MRI Inpainting

Chen, Yu

• [CMRSeg] CardioState: Task-Aligned 2.5D MedNeXt for Multi-Sequence Cardiac MRI Segmentation and Quantification

Chen, Yucheng

• [UNSURE2026] SegWithU: Deterministic Perturbation Probes for Single-Backbone-Pass Risk-Aware Medical Image Segmentation

Chen, Yufei

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification
• [CLIP] Exempt-KL: Preserving Diagnostic Ambiguity for Reliable Medical Out-of-Distribution Detection

Chen, Yuh-Min

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Chen, Yunjie

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Chen, Zhen

• [MVAA] MVAA-Seg: A Multi-Stage Segmentation Framework for Mitral Valve Anatomy Analysis
• [FoundUS] UniUSB: Domain-Aware Adaptation of Vision Foundation Models for Unified Multi-Domain Ultrasound Biometry
• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
• [CMRSeg] DINO-CMR: DINOv3-Driven View-Hybrid Segmentation with Decoupled Measurement for Multi-Sequence CMR
• [BraTS-METS] Region-Wise Logit Fusion and Utility-Gated Refinement for Brain Metastasis Segmentation

Chen, Zhiwei

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment

Chen, Zhu

• [COMPAYL] Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

Chen, Ziqi

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Chen, Ziyang

• [MLMI] M-SFDA: Meta Network with Spatial Interaction for Source-Free Domain Adaptation in Prostate MRI Segmentation using Segment Anything Model

Chen, Ziyi

• [MRIxFields2026] Unified Cross-Field Multi-Contrast MRI Translation and Harmonization
• [MLMI] A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement

Cheng, Daryl

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Cheng, Fuyu

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR

Cheng, Jiale

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Cheng, Jian

• [MLMI] Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis

Cheng, Nina

• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment
• [ELAMI] BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

Cheng, Sai

• [MRIxFields2026] Physics-Conditioned Latent Diffusion Bridges for Ultra-Low-Field to Multi-Field MRI Synthesis

Cheng, Tiefeng

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Cheng, Weihao

• [CMRxRecon2026] VeloSubspace: Phase-Aware Training-Free Reconstruction for Highly Accelerated 4D Flow MRI

Cheng, Yongzhen

• [MVAA] StateMV: Trust-Gated Anatomy-State Transitions for Multimodal Mitral Valve Segmentation

Chengetanai, Gibson

• [MIRASOL] Clean AUC Is Not Enough: Architecture-Specific Failure Modes of Tuberculosis Classifiers under Digitisation Artifacts

Cheplygina, Veronika

• [FAIMI-BRIDGE-EPIMI] Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIP

Cheriet, Farida

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform
• [MWM] Inside the Preparation: Multimodal CBCT–Intraoral Scan Fusion for Dental Preparations

Cherkaoui, Oumeymah

• [EMA] Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation

Cherkasskaya, Elizaveta

• [CMRSeg] An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Cherkezov, Asan

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Chertok, Michael

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Cherubini, Andrea

• [CaPTion] Efficient Self-Supervised Pre-Training in Endoscopy

Cheruto, Amy

• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Chetouani, Aladine

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Chetoui, Abdelkhalak

• [STACOM] TT3D: Triangular Transport for 3D Left Ventricle Reconstruction

Cheung, Helen M. C.

• [AMPLIFAI] Clinically-grounded Multiphasic Modeling for Interpretable LI-RADS Categorization

Cheung, Jason Pui Yin

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Cheung, Matt Y.

• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Chevallet, Jean-Pierre

• [ODIN] Comparing Pretraining Strategies for Intra-Oral Image Analysis Under Limited Annotation Budgets

Chevli, Maulik

• [TIA] Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models

Chi, Jianning

• [MVAA] Task-Specific Segmentation Frameworks for Multi-Modal Mitral Valve Tasks in MVAA2026
• [FoundUS] PULSE-FM: A Foundation Model for Ultrasound Biometry with Task Adaptation and Progressive Landmark Refinement

Chiaravalloti, Leonardo

• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Chiba, Rintaro

• [RHEUM-AI] RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Chibuta, Peter

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Chiew, Mark

• [RIME] Self-Supervised Multi-Contrast MRI Reconstruction via Permutation-Driven Contrast Invariance
• [CMRxRecon2026] Phase-Coupled State-Space Reconstruction for Ultra-Accelerated 4D Flow MRI
• [CMRxRecon2026] Stage-Aligned Knowledge Distillation for Fast and Memory-Efficient 4D Flow MRI Reconstruction

Chikontwe, Philip

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Ching, Christopher R. K.

• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification

Chinkamol, Amrest

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Chinn, Garry

• [RIME] Domain-Adapted Bi-Planar RAFT for Dense 3D Cardiac Motion Estimation

Chinotaikul, Punthira

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Chiru, Cătălin-Mihail

• [MLMI] Data leakage and external validation in lung CT segmentation

Chiu, Ching-En

• [STACOM] Characterising cardiac tissue properties with graph neural networks

Chiumento, Francesco

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Cho, Hyuna

• [AMAI] Mesenteric Arterial Vessel Segmentation in Abdominal CT with Small Bowel Obstruction

Cho, Hyungjoo

• [STACOM] IVUS Plaque Characterization Descriptors Carry FFR Information Beyond Morphology in Borderline Lesions

Cho, Seonaeng

• [DT4H] tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins
• [DT4H] Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
• [DT4H] Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Cho, Sue Min

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Cho, Tae-Hee

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging
• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Choi, Changyong

• [SASHIMI] Synthesizing CT-based Functional Lung Ventilation Map: A Comparative Study of Generative Models for Image-to-Image Translation

Choi, Jaesoon

• [Off-Grid] Is Reconstruction Fidelity a Reliable Proxy for Segmentation in Medical INRs?

Choi, Jaewon

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Choi, Jang-Hwan

• [MedAGI] A Resource-Constrained Evaluation of Lightweight Adaptation for Cross-Dataset Chest X-ray Report Generation

Choi, Jinwha

• [LISA] Atlas-Guided Local Expert Fusion for Pediatric Ultra-Low-Field Brain MRI Segmentation

Choi, Jinwook

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Choi, Junho

• [ShapeMI] Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation

Choi, Justin

• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Choi, Seoyeon

• [TREAT-MMTB] Global-to-Local Segmentation and Context-Aware Detection of Tuberculosis Cavity in Chest X-rays

Choi, Yongjin

• [SASHIMI] Beyond Visual Realism: The Neuro-Fidelity Index for Validating Geometric Integrity in Synthetic Brain MRI

Choi, Yoon-La

• [REG2026] Schema-Guided Tree-Structured Reasoning for Whole-Slide Pathology Workflows

Cholakkal, Hisham

• [EMA] InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation

Choo, Hyunseung

• [MedAGI] Frequency Adapter with SAM for Generalized Medical Image Segmentation
• [EMA] Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Chopra, Agamdeep S.

• [MIRASOL] Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation

Chou, Yumiko

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Choudhary, Alok Nidhi

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Choudhary, Arpit

• [BraTS-GoAT] RACER: A Radiomic-Adaptive Cohort Ensemble with Refinement for Cross-cohort Brain Tumor Segmentation using Deep Learning

Choupan, Jeiran

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Chowdhury, Md Kamran Hussin

• [MLMI] HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

Chowienczyk, Philip

• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Christe, Andreas

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Christensen, Anders Nymark

• [UNSURE2026] Geometric Diversity: Mixed-Curvature Heads as a Substitute for Ensemble Independence
• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Christensen, Gary E.

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT

Christiaens, Daan

• [PIPPI] Mapping Structural Connectivity in the Neonatal Developing Brain using Multi-Component Tissue Modelling

Christodoulidis, Stergios

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Christodoulou, Anthony G.

• [CMRxRecon2026] Spatiotemporal Context-Informed Unrolled Complex Reconstruction Networks for 4D Flow MRI

Christoph, Frank

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Chtourou, Imen

• [COMPAYL] Morphology-Preserving Virtual Staining from H&E to PAS and IHC using Enhanced Diffusion Models

Chu, Dong

• [SASHIMI] RECON: Restoration-Guided Conditioning for Thin-Structure-Coherent CT Super-Resolution

Chu, YunTung

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles

Chuajinda, Adichan

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Chudal, Prashanna

• [SAFER] CADRE: Stable, Parameter-Efficient Adaptation of Medical Vision-Language Models with Bounded Forgetting and Prior Drift

Chun, Harim

• [MedAgent] Attack Your Own Findings: A Falsification Agent Framework for Biomedical Discovery, Benchmarked on Four Errors We Actually Made

Chung, Albert C. S.

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery

Chung, Pau-Choo

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles
• [ML-CDS2026] MediRely: Reliability-Aware Retrieval for Robust Multimodal Clinical Decision Support
• [FAIMI-BRIDGE-EPIMI] Equal Accuracy, Unequal Agreement: Auditing Clinician–AI Agreement Fairness in Lung Nodule CT

Chung, Verena

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Chung, Yunsung

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Cicchetti, Alessandro

• [MIART] Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study

Ciceri, Tommaso

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

Cisneros Jacome, Juan Andres

• [MRIxFields2026] Pairing-Independent Cross-Field MRI Translation: Synthetic Supervision and Structure-Preserving Domain Adaptation for Ultra-Low-Field to High-Field Synthesis

Claes, Peter

• [ShapeMI] Interpretable Obstructive Sleep Apnea Screening from MRI-Derived Upper-Airway Surface Morphology with Class Node Graph Attention Networks

Claessens, Nina

• [ShapeMI] Interpretable Obstructive Sleep Apnea Screening from MRI-Derived Upper-Airway Surface Morphology with Class Node Graph Attention Networks

Clark, Catharine H.

• [MIART] Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

Clark, William

• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Clatworthy, Menna R.

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Clayton, Richard H.

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Cleary, Jon

• [SWITCH] Projection-Based Quality Assessment of Cerebrovascular Segmentations

Clement, Allison

• [ML-CDS2026] Quantifying Contributions within Multimodal Fusion for Clinical Decisions

Cleveland, Mason

• [COMPAYL] Thumbnail-Based Tile Selection for Efficient Whole-Slide Image Classification in Resource-Limited Pathology

Cnudde, Peter

• [DeCaF] FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Cobo Cano, Miriam

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Cochener, Béatrice

• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices

Cochet, Hubert

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning
• [GRAIL] Topological Deep Learning on Graphs for Arrhythmia Risk Prediction From Images

Cocouvi, Alexandre

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Cohen, Ariel

• [MLMI] Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

Cohen, Israel

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Cohen, Julien

• [TIA] Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density

Colak, Ceylan

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Coldman, Suzie

• [PIPPI] The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Cole, James H.

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Collet, Tiphain

• [MedAgent] AgentQC: Policy-Constrained Agentic Assessment of Task-Aware Reliability in Medical Imaging Datasets

Collins, Emevor Edisemokumor

• [MIRASOL] Trustworthy TB Screening: Backdoor Vulnerability and Lightweight Defense in Chest X-Ray AI

Collins, Stephan

• [ISLES] From Baseline to Bilateral Asymmetry: A Systematic nnU-Net Comparison for Ischemic Stroke Lesion Segmentation in ISLES’26

Colombo, P.-E.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Comaniciu, Dorin

• [STACOM] MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI

Conery, John

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Confidence, Raymond

• [MIRASOL] Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa
• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Cong, Longfei

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography
• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Conrad, Thomas

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Consortium, Labelling

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Conte, Gian Marco

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Conze, Pierre-Henri

• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices
• [MIART] Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis
• [AMPLIFAI] Multi-Source Feature Fusion for LI-RADS Classification in Multi-Phase CT
• [AMPLIFAI] Ordinal-aware Multi-Phase Classification with Manifold Mixup for LI-RADS Assessment in CT

Cook, Cole J.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Cooper, Lee A. D.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Corbetta, Valentina

• [MLMI] Representation Matters: Rethinking Domain Generalization in Polyp Segmentation

Cornelis, Jan

• [Deep-Brea3th] Fusion of Topological Data Analysis and Radiomics for High-Resolution 3D Breast Microcalcification Classification

Cornelissen, Sandra

• [SWITCH] Arterial Change Detection in Cerebral Digital Subtraction Angiography

Correa, Nubia

• [RIME] Domain-Adapted Bi-Planar RAFT for Dense 3D Cardiac Motion Estimation

Correia de Verdier, Maria

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Correia, Teresa M.

• [MIRASOL] User-Friendly AI Software for Automated Quantitative CMR Reporting on Low-Cost, Energy-Efficient Devices
• [CMRSeg] NATA-Net: A Network with Adaptive Task-Aware Heads for Universal Cardiac MRI Segmentation

Corso, Giulia

• [COMPAYL] Unified Multimodal Fusion for Cancer Survival Prediction: A Missing-Robust Framework across Histopathology, Radiology, Genomics, and Clinical Data

Cortez, Nicolay

• [OMIA] Counting Is Not Enough: Spatially Explicit Formulations for AOSLO Cone Photoreceptor Quantification

Costen, Fumie

• [CARE] Myocardial Scar and Edema Segmentation with Partial Labels and LGE-Guided Rescue

Cotin, Stéphane

• [Off-Grid] Is Reconstruction Fidelity a Reliable Proxy for Segmentation in Medical INRs?

Coubez, Xavier

• [COMPAYL] Act or defer? Multimodal intraoperative diagnosis of CNS tumours: A proof-of-concept study
• [BraTS-GoAT] Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

Couillard-Despres, Sebastien

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Coupé, Pierrick

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs
• [BrainWorks] Hierarchical Differential MedViT-3D: Specialized Hybrid Transformer for Multiclass Diagnosis of Neurodegenerative Diseases

Courand, Pierre-Yves

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Cournède, Paul-Henry

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Courtney, Jane

• [AFRICAI] Harmful or Helpful? When Precision-Recall Balance Governs Safe QGFL Transfer in Malaria Detection

Coşar, Berk

• [COMPAYL] When Histopathology Images Degrade: A Robustness Benchmark for Pathology Foundation Models

Craddock, Kenneth

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models

Crean, Andrew

• [CARE] Myocardial Scar and Edema Segmentation with Partial Labels and LGE-Guided Rescue

Creighton, Francis

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Crijns, Wouter

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Cristiano, Antonio

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Croughs, Anieke

• [CaPTion] Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

Cruz, Fidel Omar Tito

• [AMAI] Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

Cruz-Guerrero, Ines A.

• [ShapeMI] Disentangled Geometric Variational Learning of Normative Pediatric Development from Anatomical Surface Representations of Patients with Pathology
• [Deep-Brea3th] Beyond 3D Convolutions: A 4D Spatiotemporal Transformer-Based Network for Capturing Vascular Kinetics in Neoadjuvant Chemotherapy Response Prediction

Crête, Simon Joseph Clément

• [MLCN-2026] MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation

Cubero, Lucía

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Cui, Beilei

• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
• [EMA] Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

Cui, Chang

• [DT4H] Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging

Cui, Mingyue

• [EchoRisk] A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction

Cui, Ping

• [FoundUS] Semi-supervised DINOv3 Adaptation for Multi-domain Ultrasound Biometry

Cui, Shuguang

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Cui, Xiaoyu

• [CARE] ABMP-Net: Abnormality-Aware Bidirectional Motion-Physics Network for Cine CMR-Based Myocardial Scar Segmentation

Cui, Yankun

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Cui, Zhiming

• [MLMI] Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation
• [MLMI] Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease
• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026
• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

Cuiping

• [FoundUS] Attention-Gated U-Net with Heatmap Moment Coordinates for Multi-Organ Ultrasound Biometry

Cula, Gabriela Oana

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Cummins, Eoin

• [EMERGE] Evaluating Concept-guided Visual Counterfactual Generation in Medical Imaging

Curimil, Joaquín

• [MIRASOL] LDCT-to-SDCT as a Bridge Problem: Single-Step Residual Endpoint Flow Matching for Real-Time Denoising

Curran, Kathleen M.

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [CaPTion] Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer
• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Cytter-Kuint, Ruth

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Czapiewska, Aleksandra

• [BraTS-Path] Neuropathology in the embedding space of glioblastoma heterogeneity: identifying classification-relevant signals with machine learning

Czipczer, Vanda

• [ASMUS] Controllable Synthesis of Pathological Fetal Brain Ultrasound via Registration-Guided, Radiomics-Driven Latent Diffusion

Cánovas-Cerezo, José Francisco

• [BrainWorks] From Edge to Gradient: Quantifying the Infiltrative Margin in Paediatric Diffuse Glioma

Da Mutten, Raffaele

• [TopAneu] Vessel Segmentation and Anatomically Informed Rule-Based Localization of Intracranial Aneurysms

Dack, Ethan

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Dafi, Safwan M.

• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Dagasso, Gabrielle

• [AIIG2024] Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Dager, Stephen R.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Dahal, Lavsen

• [SASHIMI] Virtual Patients, Real Gains: Simulated CT from Digital Twins for Multi-Task Lung Nodule Analysis

Dahl, Anders Bjorholm

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes
• [UNSURE2026] Geometric Diversity: Mixed-Curvature Heads as a Substitute for Ensemble Independence

Dahl, Jeremy J.

• [ASMUS] UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound

Daho, Mostafa El Habib

• [MedReason] Cross-Model Candidate Selection for Grounded Medical Visual Reasoning: A Systematic Comparison of Fourteen Fine-Tuned Vision-Language Models

Dai, Anqi

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Dai, Chengliang

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Dai, Dan

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment

Dai, Dingyuan

• [REG2026] Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

Dai, Gaole

• [OMIA] OphthaAgent: Learning Cognitive Prudence for Reliable Fundus Diagnosis via Tool-Augmented Reinforcement Learning

Dai, Jing

• [COMPAYL] CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

Dai, Liya

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Dai, Runpeng

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Dai, Yakang

• [MLMI] Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis

Daka, Peter Chundama

• [MIRASOL] Does Smear Preparation Type Constitute a Domain Boundary? Within-Domain Baselines and a Transfer Protocol for Malaria Microscopy

Dalechina, Aleksandra

• [ADSMI2024] The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

Dalen, Havard

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Dalsgaard, Charlotte Maria

• [COMPAYL] Learning to Organ-ize: Low-resolution Tissue Segmentation for Preclinical Toxicological Pathology

Damasceno, Pablo F.

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Dambry, Thibaut

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Damian, Ilinca

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Damodharan, Sudarshawn

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Damseh, Rafat

• [PIPPI] Mapping Structural Connectivity in the Neonatal Developing Brain using Multi-Component Tissue Modelling

Dandana, Nasser

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Dandapath, Iman

• [MedAgent] MechAgent: Active Mechanism Falsification for Agentic Cross-Species Medical Reasoning
• [AMAI] Continual Learning with subspace adaptation in foundation models for drug safety studies

Danese, Danilo

• [BraTS-Inpainting] Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

Danesh Pajouh, Mohammad Mahdi

• [BraTS-GoAT] Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

Dang, Hong-Phuong

• [MIART] Generalizing Monte Carlo dose reconstruction beyond the training anatomy using conditional diffusion models

Dang, Khoi Tran

• [DGM4MICCAI] Synthetic Data Generation for Automated Hair Instance Segmentation in Trichoscopy
• [CaPTion] Identity-Preserving Synthetic Dermoscopic Lesion Generation via ABCD Prompting

Dang, Minh Nguyen

• [BrainWorks] Reconstruct and Distill: A Hybrid Masked-Autoencoder and Self-Distillation Foundation Model for Clinical Brain MRI

Dang, Vien Ngoc

• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Daniel, Jeremiah Oluwatomi Itodo

• [BraTS-METS] Region-Aligned Training and Target-Specific 2D–3D nnU-Net Fusion for BraTS 2026 Brain Metastasis Segmentation

Daniel, Rajkumar

• [MultiTab] Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification

Dankbaar, Jan Willem

• [SWITCH] Infarct Core Segmentation on Spectral CT Angiography using a Data-Uncertainty-Aware U-Net

Dannecker, Maik

• [Off-Grid] Implicit representations are dead. Long live explicit primitives!

Daoud, Bilel

• [ELAMI] Clinical Reliability in Multilingual Chest X-ray Report Generation
• [Deep-Brea3th] Structure-State Conditioned FB-to-DIBH Transition Learning for Breast Cancer Radiotherapy Segmentation

Das, Aritra

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Das, Badhan

• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Das, Bipul

• [RIME] Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction

Das, Jyotipriya

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Das, Sandhitsu R.

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Dasgupta, Shirin

• [MultiTab] Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification

Dash, Sumeet

• [SASHIMI] Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Dassanayake, Movindu

• [RIME] Generative Priors for Total-Body PET Reconstruction

Dathiya, Darshan

• [MedAgent] From Metrics to Insight: Agent-Based Comprehensive Evaluation of Medical Image Segmentation

Daul, Christian

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Davar, Somayeh

• [BrainWorks] CASA-Net: Confidence-Aware Spatial Attention Network for Efficient Detection-Guided Brain Tumor Segmentation

Davatzikos, Christos

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Dave, Param

• [MedReason] Medical Visual Question Answering with Length-Prior Arbitration and Reward-Aligned GRPO

Dawood, Muhammad

• [COMPAYL] QUERY-ST: Language-Guided Retrieval Across Histology and Spatial Transcriptomics

Daza, Laura

• [MultiTab] Whole-Body MRI Classification via Prompt-Based Clinical Conditioning

De Angelis, Luigi

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

De Beenhouwer, Jan

• [ODIN] Registration of 2D intraoral radiographs to 3D CBCT using modality-specific encoding

De Luca, Alberto

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

De Maeyer, Roxanne

• [HECKTOR] BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology
• [EMERGE] Annotation-Free Structured Delineation for Weakly Supervised PET Lesion Segmentation
• [CaPTion] DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

De Melo Costa, José Lucas

• [MultiTab] Single-Pass Conformal Cross-Modal Anomaly Screening with Tabular Foundation Models

De Mori, Lorenzo

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

De Ridder, Vicky

• [HECKTOR] BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology
• [EMERGE] Annotation-Free Structured Delineation for Weakly Supervised PET Lesion Segmentation
• [CaPTion] DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

De Santis, Maria Carmen

• [MIART] Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study

De Sousa Ribeiro, Fabio

• [FAIMI-BRIDGE-EPIMI] Subgroup performance analysis of adaptation strategies for chest X-ray foundation models
• [FAIMI-BRIDGE-EPIMI] Counterfactual Stress Testing for Image Classification Models

De Vita, Vittorio

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

De Zwarte, Sonja M. C.

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

De la Rosa, Ezequiel

• [SWITCH] X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

DeKeyser, Simon

• [HECKTOR] BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology
• [EMERGE] Annotation-Free Structured Delineation for Weakly Supervised PET Lesion Segmentation
• [CaPTion] DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

Deasy, Joseph O.

• [MIART] Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

Debs, Noëlie

• [CaPTion] A Unified Multi-Organ Framework for Universal Lesion Detection, Segmentation and Longitudinal Tracking in CT Imaging

Dedousis, Vasilis

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Deepu, Anjali

• [ISIC] Taxonomy-Guided Vision–Language Representation Learning for Hierarchical Skin Disease Classification

Dehghani, Farzaneh

• [FAIMI-BRIDGE-EPIMI] An Intersectional Fairness-Aware Framework for Alzheimer’s Disease Detection Using Multimodal Data

Deisl, Philipp

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Deissler, Jonathan

• [LISA] Ensembled Laterality-Aware Residual nnU-Net for Low-Field Pediatric Brain MRI Segmentation

Dejea, Hector

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Dekker, Andre

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

Deku, Mawuli

• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Del Medico, Manuel

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Delachartre, Philippe

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Delahunt, Charles B.

• [MIRASOL] Beyond validation loss: Clinically-tailored metrics for hyperparameter optimization improve a model’s clinical performance
• [AMAI] On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation

Delbari, Noam

• [ODIN] Anatomy-Constrained Duplication Loss for Tooth Detection in Panoramic Radiographs

Delgado López, Jacob M.

• [MedAGI] Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos

Deligianni, Fani

• [DGM4MICCAI] Leveraging Multi-Representation Features from Diffusion Models for Unsupervised 3D Medical Image Segmentation

Delingette, Hervé

• [STACOM] GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity
• [HAIC26] IBS: Interactive Batch Selection for Medical Image Segmentation

Dell’Aniello Picard, Florence

• [ShapeMI] A Joint 2D–3D Statistical Shape Model for Orthopedic Reconstruction

Delmonte, Alessandro

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Demir, Ali Cagri

• [DeCaF] NeuroFL: A Production Federated Learning Platform for Privacy-Preserving Brain-Health Research

Demir, Başar

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Demirel, Omer Burak

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Deng, Bin

• [Deep-Brea3th] Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations

Deng, Bo

• [MVAA] Baseline Method of the MVAA 2026 Challenge for Multimodal Mitral Valve Segmentation
• [CMRSeg] CardioState: Task-Aligned 2.5D MedNeXt for Multi-Sequence Cardiac MRI Segmentation and Quantification

Deng, Dongdong

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Deng, Jie

• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Deng, Lingchi

• [EMA] A Tiny Correction in the Right Place: Adapting a Fluorescence Super-Resolution Foundation Model

Deng, Renfu

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Deng, Ruining

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction
• [COMPAYL] FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology

Deng, Wansi

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Denizoğlu, Nurper

• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Denning, Amanda E.

• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Denoyer, Ludovic

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Denson, Lee

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Denson, Nicholas

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Denzinger, Felix

• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Depeursinge, Adrien

• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Dere, Abdulhameed Abiola

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Deria, Ankan

• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

Desai, Milauni

• [CAPI-WOMEN] Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI

Desai, Naman

• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair

Desai, Sujal

• [FAIMI-BRIDGE-EPIMI] Subgroup performance analysis of adaptation strategies for chest X-ray foundation models

Descombes, Xavier

• [COMPAYL] Morphology-Preserving Virtual Staining from H&E to PAS and IHC using Enhanced Diffusion Models

Descoteaux, Maxime

• [cdmri] AdaViT: Adaptive Viral Tracing Informed Tractography

Deshpande, Sheetal Santosh

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Despotidou, Kalliopi-Christina

• [FAIMI-BRIDGE-EPIMI] Rethinking Explainability for Clinical Trust: A Task-Specific Communicative Layer

Detjen, Henrik H. J.

• [iMIMIC] Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study

Detre, John

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?

Deutsch, Eric

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

Deutschmann, Heinz

• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Devarajan, Hariharan

• [CMRxRecon2026] Joint Multi-Velocity FlowVN Reconstruction with Flow-Aware Supervision for Accelerated 4D Flow MRI

Devin, Christian

• [MedAgent] Disentangling Perception and Reasoning in Zero-Shot Multimodal LLMs for Ultrasound Diagnosis

Devine, Jay

• [ShapeMI] Interpretable Obstructive Sleep Apnea Screening from MRI-Derived Upper-Airway Surface Morphology with Class Node Graph Attention Networks

Dewey, Blake E.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping
• [EMA] Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models

Dewey, Marc

• [HAIC26] IBS: Interactive Batch Selection for Medical Image Segmentation

Dey, Samrat Kumar

• [MIRASOL] A Sensitivity-Gated Cascade for Compute-Efficient Spinal Lesion Detection in Resource-Constrained Settings

Dey, Swarnava

• [ISIC] Taxonomy-Guided Vision–Language Representation Learning for Hierarchical Skin Disease Classification

Dhakal, Manish

• [DeCaF] Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Dhaliwal, Jasbir

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Dharejo, Fayaz Ali

• [RIME] TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

Dharia, Rohan

• [ODIN] PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Dhore, Manasee Dnyaneshwar

• [AMAI] SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Di Matteo, Alessandro

• [RHEUM-AI] Towards Multi-Task Ordinal Grading of Knee Osteoarthritis and Calcium Pyrophosphate Deposition Using Vision Foundation Models

Di Noia, Tommaso

• [BraTS-Inpainting] Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

Di Pumpo, Marcello

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Di Salvo, Francesco

• [UNSURE2026] Layer Selection in VLMs for Zero-Shot OOD Detection via Multi-Resolution Entropy Estimation
• [EndoLINA] TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
• [EMA] MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification
• [DEMI2026] Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching
• [ADSMI2024] MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Di Stefano, Luigi

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Di Stefano, Marina

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

Di, Junrui

• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

DiBella, Edward

• [STACOM] Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2 and T1ρ MRI

Diab, Abdul Rahman

• [iMIMIC] SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

Diagne, Ngor Sine

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Diallo, Ibrahima

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

Diao, Yueqin

• [OMIA] Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification
• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Diaz, Oliver

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI

Dick, Fred

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Dickie, Erin

• [MedAGI] A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions

Dicko, Maïmouna

• [AFRICAI] MoonScan: An AI-Based Clinical Decision-Support System for Chest X-Ray Analysis in a Low-Resource African Setting

Didier, Antoine

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Diederichsen, Axel

• [MI4MedFM] The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Diederichsen, Marie Zöga

• [MI4MedFM] The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Dillman, Jonathan R.

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Dillon, Joshua R.

• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning

Dils, Alex

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Dima, Alina F.

• [Off-Grid] Overlap-Free Multi-Organ Shape Synthesis with Implicit Neural Representations

Dimitriadis, Avtantil

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [DEMI2026] The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI

Ding, Hao

• [ShapeMI] Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model
• [MedAGI] Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos

Ding, Haoyan

• [BraTS-PEDs] Hierarchical nnU-Net Logits for Pediatric Brain Tumor Subregion Segmentation

Ding, Mianyong

• [PedAItrics] Sequence-Agnostic MRI Segmentation of Pediatric Renal Tumors for Postoperative Flank Irradiation
• [HECKTOR] Predicted Masks Throughout: A Cross-Center Generalizable Pipeline for Joint Head and Neck Tumor Segmentation, Staging, and Prognosis

Ding, Shanli

• [ELAMI] Clinical Reliability in Multilingual Chest X-ray Report Generation
• [Deep-Brea3th] Structure-State Conditioned FB-to-DIBH Transition Learning for Breast Cancer Radiotherapy Segmentation

Ding, Xuan

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Ding, Xueqian

• [MVAA] Boundary-Aware and Semi-Supervised Baselines for Multi-Modal Mitral Valve Anatomy Analysis
• [FoundUS] Attention-Gated U-Net with Heatmap Moment Coordinates for Multi-Organ Ultrasound Biometry

Dinh Thi, Lan Anh

• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Dione, Mariama

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Dirks, Ine

• [HECKTOR] BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology

Disch, Nico Albert

• [MAMA-SYNTH] Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans

Dixit, Kopal

• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Djambazova, Katerina V.

• [MISO] IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

Djoumessi, Kerol

• [iMIMIC] Towards Interpretable Foundation Models for Retinal Fundus Images
• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets
• [FAIMI-BRIDGE-EPIMI] Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening
• [AFRICAI] Beyond External Validation: Evaluating the Deployment Readiness of Medical Imaging AI in an African Clinical Context through Diabetic Retinopathy Screening
• [AFRICAI] A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

Do, Quang

• [CaPTion] Identity-Preserving Synthetic Dermoscopic Lesion Generation via ABCD Prompting

Doan, Bach Ngoc

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Doan, Bich-Liên

• [MultiTab] Single-Pass Conformal Cross-Modal Anomaly Screening with Tabular Foundation Models

Dobbe, Johannes G.G.

• [AMAI] Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Doerler, Samuel

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Doerrich, Sebastian

• [UNSURE2026] Layer Selection in VLMs for Zero-Shot OOD Detection via Multi-Resolution Entropy Estimation
• [EndoLINA] TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
• [EMA] MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification
• [DEMI2026] Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching
• [ADSMI2024] MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Dolci, Claudia

• [ShapeMI] Learning the Marfan Face: A Conditional Mesh VAE for Explainable Screening and Synthetic Generation

Dominguez Aleixo, Carolina

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning

Domínguez, Marina

• [DGM4MICCAI] Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis

Don Simonge, Piumi

• [COMPAYL] Multi-scale Fusion of Fast Vision Mamba and Foundation Model Features for Patch-Level Gleason Grading in Computational Pathology

Done, Susan J.

• [COMPAYL] AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer

Dong, Hao

• [SASHIMI] SonoSPADE: Real-Time, Per-Tissue Ultrasound Texture Synthesis for Closed-Loop Acquisition

Dong, Jingqi

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Dong, Jinlin

• [BraTS-GoAT] SlimInterPAS for Brain Tumor Segmentation

Dong, Ruiqing

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Dong, Shilong

• [FoundUS] SonoAdapt: Foundation Model Adaptation for Supervised Multi-Task Ultrasound Biometry

Dong, Wenzhen

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery
• [CREATE] StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Dong, William

• [CMRxRecon2026] Complex-Valued and State-Augmented Variational Networks for Accelerated 4D Flow MRI Reconstruction

Dong, Xingbo

• [FoundUS] MABA: Measurement-Aware Biometry Adaptation for Landmark-Based Ultrasound

Dong, Yining

• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Dong, Yiwei

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Dong, Yue

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Dorent, Reuben

• [cdmri] DiffBench: A Benchmark Toward Reproducible Evaluation in Diffusion MRI Prediction
• [COMPAYL] Disentangled Shared Representations Improve Morpho-Transcriptomic Integration
• [COMPAYL] Program-space Diffusion for Morphology-to-Transcriptomics Prediction

Dorittke, Tim

• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Dorjsembe, Zolnamar

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Dortche, Kristina

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Dou, Qi

• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
• [CREATE] StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Dou, Yulong

• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

Douet-Guilbert, Nathalie

• [EMERGE] Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

Doughty, Robert N.

• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning

Dowling, Jason

• [SASHIMI] Relative Loss Balancing for High-Fidelity Synthetic CT Generation in the Abdomen

Doğan, Nadide Bilge

• [UNSURE2026] Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Drake, Christopher A.

• [ISLES] Residual-Encoder nnU-Net for Multi-Phase Ischemic Stroke Lesion Segmentation in Native-Space T1-Weighted MRI

Dreiling, Julia

• [EMA] Nine Dimensions Are Enough for Patch-Level Classification with Histopathology Foundation Model Embeddings

Dronne, Clea

• [MIART] Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

Drouin, Simon

• [FAIMI-BRIDGE-EPIMI] Futures Before Failures: Design Fictions for Anticipatory Fairness in Surgical AI

Drummond, Tom

• [DGM4MICCAI] From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors

Drwiega, Gniewosz

• [TopAneu] An Anatomy-Aware Staged Pipeline for Vessel-Specific Intracranial Aneurysm Segmentation in CT and MR Angiography
• [ShapeMI] Mind the Gap: Mesh-Guided Repair of Broken Vessels
• [ISLES] SADL: A Size-Adaptive Decision Layer for Chronic Stroke Lesion Segmentation in ISLES 2026

Du, Bo

• [MVAA] Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video
• [LISA] A Modular Multi-Model Framework for Multi-Structure Segmentation of Ultra-Low-Field Pediatric Brain MRI
• [FoundUS] VSTA: A DINOv2-Based Unified Semi-Supervised Framework for Ultrasound Biometry

Du, Bodong

• [MVAA] StateMV: Trust-Gated Anatomy-State Transitions for Multimodal Mitral Valve Segmentation

Du, Jinhao

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation

Du, Liyan

• [MultiTab] Conditional Intervention Analysis: Toward Identifying Causal Features in Tabular Multimodal Data

Du, Shangbo

• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Du, Wen

• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Du, Xinzhe

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition

Du, Yanhong

• [CARE] Structure-Reliability-Guided ROI and Donor Fusion for Multi-Center MR Whole-Heart Segmentation

Du, Yukun

• [ODIN-challenges] Geometry-Guided Identity Correction for Semi-Supervised CBCT Tooth and Root-Canal Segmentation

Duan, Peiyu

• [MLCN-2026] SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis

Duan, Wenting

• [STACOM] Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement
• [BraTS-METS] Region-Wise Logit Fusion and Utility-Gated Refinement for Brain Metastasis Segmentation

Duan, Yaofei

• [FoundUS] LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry

Duangprom, Krit

• [DEMI2026] Depth-Enhanced LoRA-Tuned VLMs for Hand and Tool Keypoint Detection in Surgical Scenes

Dubljevic, Natalia

• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction

Duboudin, Thomas

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis
• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Dubrawski, Artur

• [GRAIL] TumorGraphs: Patient-Level Fusion of Multi-WSI Histopathology

Duchateau, Nicolas

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking
• [MLCN-2026] Representation Learning for 3D Brain Imaging: A Benchmark

Duchesnay, Edouard

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Duda, Jeffrey

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Dudhane, Akshay

• [MIRASOL] MR-DiffRecon: Efficient All-in-One MRI Reconstruction with Multi-Scale Alignment and Implicit Prompting

Duelmer, Felix

• [ASMUS] UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound
• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Dufumier, Benoit

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Duisembayeva, Indira

• [MI4MedFM] Counterfactual Activation Patching of Pleural-Effusion Boundary Failures in MedSAM

Dukre, Adinath Madhavrao

• [TREAT-MMTB] RADAR: Acquisition-Adversarial Attention Pooling over a Frozen Chest-Radiograph Foundation Model for Tuberculosis Screening
• [REG2026] Faithful Per-Task Attention for Chain-of-Thought Whole-Slide Pathology Report Generation
• [ODIN-challenges] Seeing the Bite: Learned Cross-Arch Occlusion Grounding for Orthodontic Report Generation from Intraoral Scans and Photographs
• [MedReason] MIRA: Modality-Adaptive Image-Grounded Reasoning and Answering for Medical Visual Question Answering under Domain Shift
• [MVAA] BEAT: Boundary-aware Efficient Anatomy-Transfer for Multimodal Mitral Valve Segmentation
• [MRIxFields2026] FieldFiLM: A Unified Conditional Generator for the MRI Field-Strength Continuum
• [LISA] Diverse-Loss Backbone Ensembling for Multi-Label Artifact Quality Assessment of Ultra-Low-Field Pediatric Brain MRI
• [ISLES] Voxels or Millimetres? A Controlled Comparison of Lesion-Size Filtering for Native-Space Stroke Segmentation
• [FoundUS] Self-Assessing Anatomical World Model for Unified Multi-Domain Ultrasound Biometry
• [EchoRisk] EchoMoVE: Multi-View Mixture-of-Experts Regression for Echocardiographic LVEF Estimation under Small-Cohort and Label-Imbalance Constraints
• [CMRxRecon2026] Keep the Encodings Apart: Per-Encoding Complex-Valued Variational Networks for Accelerated 4D Flow MRI
• [CMRSeg] Native-Resolution Multi-Sequence Cardiac MRI Segmentation for Accurate LVEF and Scar Quantification
• [CARE] SCALA: Semi-supervised Cascade for Left Atrial Scar, Cavity, and Multi-Structure CT Segmentation
• [AMPLIFAI] Metric-Aligned Cross-Phase Attention for LI-RADS Categorization of Liver Lesions on Multi-Phase CT

Dumitru, Razvan-Gabriel

• [BraTS-PEDs] NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Dumont, Paul

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Dunbayeva, Nazira

• [CaPTion] Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis

Duncan, James S.

• [MLMI] Improving Medical Image Generative Models with Fréchet Distance Loss
• [MLCN-2026] SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis
• [EchoRisk] CNN and ViT Backbone Fine-Tuning with Pseudo-Label Segmentations for the EchoRisk Challenge

Duncan, John S.

• [MLCN-2026] Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
• [MLCN-2026] Rapid Whole-Brain Parcellation

Dunet, Vincent

• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Dung, Mai Tien

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Duong-Tran, Duy

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Dupouy, Mathilde

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Duque-Grajales, Jon E.

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Durak, Gorkem

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification
• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Duron, Loïc

• [TIA] Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
• [TIA] Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Dutta, Aritra

• [MedAgent] Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care

Dutta, Sayantan

• [RIME] Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction

Dvornek, Nicha C.

• [MLCN-2026] SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis

Dwivedi, Girish

• [EchoRisk] EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

Dy, Amanda

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models
• [COMPAYL] AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer

Dömötör, Marcell

• [DGM4MICCAI] PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

Döppmann, Lorenz

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Dürner, Celine

• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

D’Hondt, Fanny

• [EMERGE] Feature Extraction Strategies for Clinically Significant Prostate Cancer Detection on Biparametric MRI: A Systematic Ablation of the Local-Global MIL Framework

D’Souza, Niharika S.

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

D’hooge, Jan

• [EchoRisk] Foundation Model Fine-Tuning with Attention-based Multi-View Fusion for Multi-Task Cardiac Function Assessment

E, Chaoran

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Eberhagen, Carola

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Ebert, Emily

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Ebner, Lukas

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Ebou, El Haj Samitt

• [TIA] Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
• [TIA] Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Ebrahimi, Mehran

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Ebrahiminia, Fatemeh

• [CMRxRecon2026] Phase-Coupled State-Space Reconstruction for Ultra-Accelerated 4D Flow MRI

Eck, Ulrich

• [CREATE] Intraoperative AR Visualization of Preoperative (CB)CT via X-Ray Registration

Eckstein, Katharina

• [CARE] Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI
• [AIMS-TBI] Evaluating Large-Scale Pretraining and Auxiliary Training Data for T1-only TBI Lesion Detection and Segmentation in the AIMS-TBI 2026 Challenge

Edwards, Matthew T.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Edwards, Nicola C.

• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning

Eekers, Daniëlle B. P.

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

Egashira, Ryoko

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Egger, Bernhard

• [ShapeMI] Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Egger, Jan

• [ShapeMI] What Does Anatomical Shape Know About You? A Multi-Organ, Shape-Only Study of Demographic Prediction, Attribution, and Privacy
• [CAPI-WOMEN] A Multi-Site Label Trap in Shape-Based Endometriosis Detection: What Female Pelvic-Organ Shape Does (and Does Not) Encode

Ehinger, Krista A.

• [DGM4MICCAI] From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors

Ehrenstein, Samuel

• [ShapeMI] Medial Skeletons for Haustral Fold Detection in Colonoscopy

Ehrhardt, Jan

• [Off-Grid] Mirror and Map: Symmetric Latent Deformation Priors for Deformable Image Registration using Implicit Neural Representations
• [OMIA] Weakly Supervised Retinal Layer Segmentation in OCT
• [ELAMI] Evaluating Medical Report Generation on Real Clinical Data: A Case Study

Ehring, Chris

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Eibenberger, Eva

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Eichhorn, Hannah

• [RIME] CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI

Eid, Mark C.

• [ASMUS] USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance

Eilertsen, Gabriel

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Eils, Roland

• [MVAA] Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

Eisenberg, Ran

• [iMIMIC] A Probabilistic Source-Free Domain Adaptation Method for Concept Bottleneck Models

Eisenschink, Constantin

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Eissa, Malak

• [MIRASOL] Segmentation-Guided Inpainting and Imbalance-Aware Learning for Robust Ovarian Tumor Classification in Ultrasound

Ekenel, Hazım Kemal

• [UNSURE2026] Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Eker, Omer

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging

El Aichi, Mohammed

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

El Boardy, Ahmed Tamer

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation

El Bouz, Marwa

• [EMERGE] Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

El Fakhri, Georges

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

El Hadramy, Sidaty

• [EMA] Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation

El Khamlichi, Khalid

• [ELAMI] Diagnosis of Autism Spectrum Disorder using LLMs and Multimodal Brain Connectivity Analysis

El Maliani, Ahmed Drissi

• [MWM] Adversarial-Contrastive Domain Generalization for Cross-Site Autism Spectrum Disorder Classification from Resting-State fMRI
• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification
• [ELAMI] Diagnosis of Autism Spectrum Disorder using LLMs and Multimodal Brain Connectivity Analysis

El-Gaghous, Abdelrahman

• [BraTS-METS] Runtime-Aware Ensemble Optimization for Brain Metastasis Segmentation under Strict Deployment Constraints

El-Khoribi, Reda Abdelwahab Ahmed

• [UNSURE2026] Reliability, Not Accuracy, Is the Bottleneck in AI-assisted Post-Treatment Glioma Segmentation: Region-Aware Recalibration and Risk-Controlled Triage

El-Mufti, Nadine

• [FAIMI-BRIDGE-EPIMI] Futures Before Failures: Design Fictions for Anticipatory Fairness in Surgical AI

El-Nahry, Yasmin

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning

Elattar, Mustafa

• [MIRASOL] Contrastive Radiomics-to-Image Alignment for Cross-Modal Mammographic Mass Retrieval

Elbatel, Marawan

• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia
• [AFRICAI] ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging
• [ADSMI2024] CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Elbayumi, Mohamed

• [STACOM] ViPS-FSL: Virtual-Patient Densification via Latent Space Co-Translation for Robust Few-Shot Cardiac MRI Segmentation
• [CMRxRecon2026] Complex-Valued and State-Augmented Variational Networks for Accelerated 4D Flow MRI Reconstruction

Elbaz, Mohammed S. M.

• [STACOM] ViPS-FSL: Virtual-Patient Densification via Latent Space Co-Translation for Robust Few-Shot Cardiac MRI Segmentation

Elfassy, Lauren

• [MWM] Inside the Preparation: Multimodal CBCT–Intraoral Scan Fusion for Dental Preparations

Elgebaly, Aya

• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound
• [ADSMI2024] CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Elhabian, Shireen Y.

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] NO2SSM: A Discretization-Invariant Neural-Operator Approach to Statistical Shape Modeling
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography
• [ShapeMI] On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling
• [STACOM] Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2 and T1ρ MRI
• [MLMI] Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods

Elicin, Olgun

• [MIART] DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy

Elison, Jed T.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Ellis, Ryan J.

• [ShapeMI] PanVasc: A Shape-Aware Framework for Peripancreatic Vascular Invasion Assessment in Pancreatic Ductal Adenocarcinoma

Elmanna, Mohamed

• [HemaRAI] Task-guided Hierarchical Multi-stain CycleGAN with Contrastive Learning for Robust White Blood Cell Classification

Elsayed, Ahmed M.

• [EMA] Active few-shot segmentation by reinforcing data selection

Elserafi, Ahmed

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Elshaer, Ziad

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation

Elshehabi, Ibrahim

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation

Elson, Daniel S.

• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition
• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Elvis, Banboye Kidzeru

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Emberton, Mark

• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Emblem, Kyrre Eeg

• [ISLES] Adaptive Post-Processing Drives Instance-Level Detection in Stroke Lesion Segmentation
• [AIMS-TBI] A U-Net for Automated msTBI Lesion Segmentation

Emegoakor, Adaobi Chiazor

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset
• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy
• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Emesiani, Joseph Uzochukwu

• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy

Eminovic, Semil

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning

Encin, Arel

• [MedAGI] A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions

Encina-Llamas, Gerard

• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations

Engelke, Merlin

• [ShapeMI] What Does Anatomical Shape Know About You? A Multi-Organ, Shape-Only Study of Demographic Prediction, Attribution, and Privacy
• [CAPI-WOMEN] A Multi-Site Label Trap in Shape-Based Endometriosis Detection: What Female Pelvic-Organ Shape Does (and Does Not) Encode

Engler, Jonas

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Eom, Irene Y.

• [REG2026] A Branch-Aware, Confidence-Gated Reasoning Framework for Whole Slide Images

Epstein, Frederick H.

• [STACOM] Generative Brownian Bridge Diffusion In Motion Space For Enhanced Myocardial Strain Analysis

Er, Sezgin

• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Erdil, Ertunc

• [UNSURE2026] Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection

Erdman, Lauren

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease
• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Erdur, Ayhan Can

• [MedAgent] A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
• [MIART] Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis

Erkan, Enes Can

• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Erkol, Irmak

• [CARE] Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI

Ermiş, Ekin

• [MedAGI] A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma
• [BraTS-METS] A Transformer Pipeline with Uncertainty-Guided Curation and Failure Recovery for Brain Metastases Segmentation

Ernsting, Jan

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Erokhina, Mariya

• [UNSURE2026] Sequential Conformal Safety for Trustworthy Clinical Decision Pathways in Ophthalmology

Ertekin, Şeyda

• [TIA] ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT

Erturk, Sukru Mehmet

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Escamilla-Ocañas, Cesar E.

• [MIRASOL] Soft Temporal Scoring Using a Foundation Model: Optimal Frame Selection for Improved ONSD Measurement in Ultrasound Videos

Escobar Corominas, Ivan

• [MIART] Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy

Esmaeili, Parhom

• [HAIC26] Adapt While You Annotate: The Missing Complement to Interactive Segmentation

Esposito, Anthony J.

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Estes, Annette M.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Estopier Castillo, Vicente

• [TIA] Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density

Estoup-Streiff, Chad

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas
• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Evangelista, Karine

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Evans, Alan

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Evans, Michael L.

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Evans, Robin J.

• [UNSURE2026] Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

Evans, Tavia Emily

• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation

Ewalefo, Samuel

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Eyer, Florian

• [AMAI] Learning Diagnostic Reasoning for Decision Support in Toxicology

Ezhov, Ivan

• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver

Ezponda, Ana

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Fabrizio, Jonathan

• [ShapeMI] Learning to Reconnect: Graph-based Path Classification for Restoring Retinal Vessel Segmentation Connectivity

Facchi, Giuseppe Maurizio

• [ShapeMI] Learning the Marfan Face: A Conditional Mesh VAE for Explainable Screening and Synthetic Generation

Facque, Amaury

• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Fadel, Kpegouni

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas

Fagerbakke, Eirik

• [MVAA] Multimodal Mitral Valve Segmentation with Cross-Validation Ensembles and Pseudo-label Retraining

Fahad, Nafiz

• [MWM] MedWorld-Lite: A Missingness-Aware Personalized Framework for ICU Medical World Modeling

Faizan, Syed

• [iMIMIC] How Well Do Chest X-Ray VLM Attention Overlays Match Radiologist Boxes? A Cross-Model Audit and Radiologist Reader Study

Fajardo, Julio

• [MIRASOL] Deployment-Oriented Benchmarking of Optimized Deep Learning Models for Real-Time Fetal Plane Classification on Mobile Devices

Fajardo-Rojas, Diego

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Falconnier, Pierre

• [MLCN-2026] Representation Learning for 3D Brain Imaging: A Benchmark

Falcão, Alexandre X.

• [MIRASOL] AutoFLIM: Joint Optimization of Architecture, Markers, and Hyperparameters for Efficient Medical Image Segmentation
• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Fallmann, Jonas

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Falta, Fenja

• [Off-Grid] Mirror and Map: Symmetric Latent Deformation Priors for Deformable Image Registration using Implicit Neural Representations

Fan, Boyu

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Fan, Flint Xiaofeng

• [ELAMI] Authority-Preserving Evaluation of Medical Vision-Language Assistants
• [ELAMI] FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Fan, Fuxin

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Fan, Jingfan

• [EchoRisk] Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment

Fan, Jinyan

• [BrainWorks] Reliability-aware Multimodal Fusion for Brain Tumor Segmentation

Fan, Linxuan

• [EMERGE] GF-BrainSR: Gated Frequency-Aware Selective State Space Model-Based Brain MRI Image Super-resolution

Fan, Siqi

• [CREATE] AI-Guided User Interface Enables Standardized Carotid Ultrasound Scanning After Minimal Training: A Comparative Experimental Study

Fan, Zhaorui

• [FoundUS] MABA: Measurement-Aware Biometry Adaptation for Landmark-Based Ultrasound

Fanariotis, Michael

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation

Fang, Jiansheng

• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Fang, Xin

• [MVAA] Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video
• [FoundUS] VSTA: A DINOv2-Based Unified Semi-Supervised Framework for Ultrasound Biometry

Fang, Yuxiang

• [CREATE] RadQC-Bench: Benchmarking Vision-Language Models for Quality Control in Radiology Reporting

Fang, Zhongnan

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Farahani, Keyvan

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Farahmand, Mohammad

• [COMPAYL] DreaMS-Align: Zero-Shot Spectrum-Embedding Surrogates for Scalable WSI-MSI Co-registration

Farouq, Shaheeda

• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Farshad, Azade

• [MultiTab] Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information
• [MedAgent] HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition

Farzana, Walia

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Fathi Kazerooni, Anahita

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Fathy, Abdelrahman

• [CMRxRecon2026] CUT-4DFlow for Accelerated 4D-Flow MRI Reconstruction

Fatima, Anum

• [ISIC] Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Faty, Lamine

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Faye, Youssou

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Fayed, Salema

• [CaPTion] Fed-FGS: Domain-Generalized Federated Polyp Segmentation via Fourier Hard-Thresholding and Gradient Scaling
• [CaPTion] Confidence-Aware Multimodal Survival Prediction in Renal Cell Carcinoma using Graph-Based Histopathology Encoding

Fazekas, Botond

• [OMIA] Topology-Aware Staged Diffusion for Multi-Vendor Retinal OCT Fluid Segmentation

Federici, Lorenzo

• [RHEUM-AI] Prototypical Severity Representation Learning for Automated Calcium Pyrophosphate Deposition Disease Assessment

Federmann, Lydia

• [MLCN-2026] What Do Persistent Misclassifications Tell Us About Alzheimer’s Disease Detection using Structural MRI?

Feldman, Michael

• [REG2026] Diagnostic Pathology Reporting and Reasoning via Autoregressive and Retrieval-Based Chain-Of-Thought
• [EchoRisk] One Encoder to Address All: Cardio-Oncology Assessment of Left Ventricular Ejection Fraction, Left Ventricular Dysfunction, and Early Cardiotoxicity in Echocardiography Cine Loops

Felizzi, Federico

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Fellah, Ahmed Riadh

• [HECKTOR] A Dual-Branch Fusion Pipeline for Head and Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival Prediction: HECKTOR 2026

Felsner, Lina

• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors
• [CAPI-WOMEN] Interactive Foundation Models for 3D MR Uterus Segmentation: Performance and Limitations
• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions

Feng, Dingran

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Feng, Fan

• [STACOM] FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI

Feng, Han

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Feng, Jean

• [UNSURE2026] Subgroup-Dependent Report-Label Noise Distorts Fairness Audits of Chest X-ray Classifiers: A Prediction-Powered Correction

Feng, Jun

• [CARE] Structure-Reliability-Guided ROI and Donor Fusion for Multi-Center MR Whole-Heart Segmentation

Feng, Mengmeng

• [ADSMI2024] Variational multimodal distillation for diagnosing plaque vulnerability in carotid 3D MRI

Feng, Yan

• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI
• [BraTS-GoAT] MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

Feng, Yixue

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Feng, Yuqing

• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition
• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Feng, Zhibo

• [CARE] Fibrosis-Aware Spatial-Temporal Representation Learning for Liver Fibrosis Staging from Real-World MRI

Feragen, Aasa

• [FAIMI-BRIDGE-EPIMI] False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation
• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Ferenchick, Alexander

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Fernandes, João

• [TIA] Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies

Fernandez Salamanca, Mar

• [MIART] Which Edits Matter? Simulating Realistic Local Corrections to Organ-of-Interest DL Segmentation and Predicting Dosimetric Impact
• [MIART] Recognizing Dosimetrically Irrelevant Edits of Auto-Segmentations in Head and Neck Organs of Interest

Fernandez, Brice

• [RIME] STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising

Fernando, Muditha

• [HemaRAI] MaLDAM: Masked Localized Domain Adaptation for Malaria Detection in Low-Cost Microscopic Images

Fernández Klett, Francisco

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Fernández, Miguel A.

• [STACOM] TT3D: Triangular Transport for 3D Left Ventricle Reconstruction

Ferramola, Michele

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Ferran, Alexandra

• [CaPTion] Probability-Based Lesion-Aware FN/FP Loss for Whole-Body PET/CT Tumor Segmentation

Ferrante, Enzo

• [MIRASOL] Label-Free Foundational Model Selection for Medical Image Classification under Distribution Shift via Pseudo Label Discrepancy

Ferrario, Camilla

• [STACOM] Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound

Ferrucci, Luigi

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Ferscha, Alois

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Fetco, Dumitru

• [MLCN-2026] Paramagnetic Rim Lesion Instance Segmentation in Multiple Sclerosis Using Conditional Convolutions
• [BraTS-Inpainting] Glioma Inpainting in Brain MRI via 3D Region Aware Diffusion

Fevens, Thomas

• [BrainWorks] CASA-Net: Confidence-Aware Spatial Attention Network for Efficient Detection-Guided Brain Tumor Segmentation

Fiaz, Mustansar

• [EMA] InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation

Ficarra, Elisa

• [COMPAYL] Unified Multimodal Fusion for Cancer Survival Prediction: A Missing-Robust Framework across Histopathology, Radiology, Genomics, and Clinical Data

Fichtinger, Gabor

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal
• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Fidelis, Dabrilagha

• [MIRASOL] Trustworthy TB Screening: Backdoor Vulnerability and Lightweight Defense in Chest X-Ray AI

Figini, Matteo

• [MLMI] Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient

Figueiredo, Mário

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Fijalkow, Nathanaël

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Filiot, Alexandre

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Fiorentino, Maria Chiara

• [RHEUM-AI] Towards Multi-Task Ordinal Grading of Knee Osteoarthritis and Calcium Pyrophosphate Deposition Using Vision Foundation Models
• [RHEUM-AI] Prototypical Severity Representation Learning for Automated Calcium Pyrophosphate Deposition Disease Assessment

Fiorino, Claudio

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Firenze, Margherita

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction

Fischer, Lisa K.

• [SASHIMI] MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

Fischer, Stefan M.

• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
• [CAPI-WOMEN] Interactive Foundation Models for 3D MR Uterus Segmentation: Performance and Limitations

Fischl, Bruce

• [SASHIMI] DisMorph: learning to disentangle technical distortions from true biological change

Fiveash, John B.

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Fleurkens-Ewals, Lotte J. S.

• [CaPTion] Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Florea, Adina Magda

• [MLMI] Data leakage and external validation in lung CT segmentation
• [Deep-Brea3th] A Multi-Stage Deep Learning Framework for the Automated Assessment of Mammographic Microcalcifications

Florers, Jennifer X.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Flores, Diego A.

• [ShapeMI] Multiscale Wave-Shaping Neural Encoding with Cross-Attention Networks for 3D Organ Reconstruction and Generation

Florkowska, Agnieszka

• [EMA] One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training

Flörl, Philip

• [CLIP] Differentiable Manifold Optimization for Fast, Multi-Needle Ablation Planning

Flühmann, Tim

• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification

Focht, Gili

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Fodjo, Yvan Guifo

• [AFRICAI] A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

Fogarollo, Stefano

• [SASHIMI] Realistic Synthetic Data for Annotation-Free Pretraining in Liver Vasculature Segmentation
• [CLIP] Differentiable Manifold Optimization for Fast, Multi-Needle Ablation Planning

Folle, Lukas

• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Fontaine, Xavier

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Fonya, Brandone

• [AFRICAI] Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification

Foran, David J.

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Forghani, Yasna

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Foriel, Tiffany

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Forkert, Nils D.

• [ISLES] Residual-Encoder nnU-Net with Small-Component Filtering for Multi-Site Stroke Lesion Segmentation in T1-weighted MRI
• [AIIG2024] Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Foti, Simone

• [PedAItrics] Region-Wise Age Progression in Disentangled VAEs for 3D Face Meshes

Fotiadis, Dimitrios I.

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Fournel, Joris

• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Fournier, Laure

• [TIA] Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
• [TIA] Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Francis, Danny

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Franco, Jean-Sébastien

• [TIA] Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density

Frank, Jonatan

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Franson, Andrea

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Frayne, Richard

• [RIME] Contrast-Reversal Augmentation for Adult-to-Neonatal MR Image Reconstruction: Pretraining and Fine-Tuning Strategies
• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction

Freiman, Moti

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes
• [GRAIL] GraphSVR: q-Space–Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI
• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer
• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Freitas, João

• [EchoRisk] Foundation Model Fine-Tuning with Attention-based Multi-View Fusion for Multi-Task Cardiac Function Assessment

French, Brooke

• [ShapeMI] Disentangled Geometric Variational Learning of Normative Pediatric Development from Anatomical Surface Representations of Patients with Pathology

Frey, Benjamin N.

• [ASMUS] UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound

Friedrich, Paul

• [ShapeMI] AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning
• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations

Frikh, Bouchra

• [AFRICAI] Federated Learning under Combined Clinical Heterogeneity: Evaluation Protocol and Inter-Site Equity

Frimpong, George Asafu Adjaye

• [AFRICAI] Domain Shift in Prostate MRI AI: Proxy Validation on a Low-Resource 1.5T Clinical Cohort

Frindel, Carole

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging
• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Frings, Oliver

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation
• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

Fritscher, Karl

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Fritz, Francisco J.

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections
• [cdmri] In-Plane Super-Resolution: A Feasibility Study

Fritz, Peter

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Frouin, Vincent

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Fu, Haitao

• [CARE] Dual-Task Multi-Sequence MRI Framework: 3D Segmentation and Ensembled Fibrosis Staging of the Liver

Fu, Huazhu

• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Fu, Jingru

• [SASHIMI] DisMorph: learning to disentangle technical distortions from true biological change
• [ADSMI2024] Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

Fu, Shuojie

• [MedAgent] LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

Fu, Suzhong

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Fu, Tianhao

• [UNSURE2026] SegWithU: Deterministic Perturbation Probes for Single-Backbone-Pass Risk-Aware Medical Image Segmentation

Fu, Wei

• [CLIP] Exempt-KL: Preserving Diagnostic Ambiguity for Reliable Medical Out-of-Distribution Detection

Fu, Xinyi

• [MIART] Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy
• [AMPLIFAI] Dual-Scale Phase-Aware 3D ViT with Bounded Tubular Rescue for LI-RADS Classification

Fu, Xueyi

• [STACOM] Learning from Acquisition: Metadata-driven Multimodal Pre-training for Cardiac MRI

Fu, Yihang

• [MLMI] M-SFDA: Meta Network with Spatial Interaction for Source-Free Domain Adaptation in Prostate MRI Segmentation using Segment Anything Model

Fu, Yu

• [MVAA] Boundary-Aware and Semi-Supervised Baselines for Multi-Modal Mitral Valve Anatomy Analysis
• [MRIxFields2026] FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling
• [FoundUS] Semi-supervised DINOv3 Adaptation for Multi-domain Ultrasound Biometry
• [FoundUS] Attention-Gated U-Net with Heatmap Moment Coordinates for Multi-Organ Ultrasound Biometry

Fu, Zeyu

• [EMA] Outlier-Suppressed Transformer for Efficient 3D Medical Image Segmentation

Fu, Zhenyin

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Fuchs, Mirco

• [SWITCH] Decoupled Node Localization and Edge Assignment for Vascular Graph Reconstruction

Fuentes, David

• [BraTS-GoAT] MISFIT: A Self-Supervised Pretraining Toolkit for 3D Medical Imaging — A Preliminary Test Across Three BraTS 2026 Segmentation Tasks

Fuetterer, Maximilian

• [STACOM] Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
• [DT4H] Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins

Fukada, Soichiro

• [ADSMI2024] Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages

Fukuse, Hiroaki

• [LISA] Slice-Based 2D Transfer Learning Outperforms 3D-From-Scratch for Quality Assessment of Ultra-Low-Field Neonatal MRI

Fukutomi, Shunsuke

• [RIME] Adaptive Prior-Guided Cold Diffusion for Accelerated MRI Reconstruction

Funke-Chambour, Manuela

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Funperefagha, Mberekpe Emmanuel

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Furukawa, Mona

• [CaPTion] PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

Fuster, Valentin

• [ASMUS] Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

Föllmer, Bernhard

• [STACOM] GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity
• [HAIC26] IBS: Interactive Batch Selection for Medical Image Segmentation

G. K., Rohith Reddy

• [MLMI] PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs

Gabbay-Benziv, Rinat

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes

Gaber, Ahmed M.

• [CaPTion] Fed-FGS: Domain-Generalized Federated Polyp Segmentation via Fourier Hard-Thresholding and Gradient Scaling

Gadermayr, Michael

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Gael, Ishimwe Karekezi Guy

• [AFRICAI] Afro-FetalNet: Fetal Plane Classification for Low-Resource African Settings

Gafencu, Miruna-Alexandra

• [ShapeMI] ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion

Gagliardi, Gianni Manuel

• [LISA] Ensembled Laterality-Aware Residual nnU-Net for Low-Field Pediatric Brain MRI Segmentation

Gahm, Jin Kyu

• [ShapeMI] Rethinking Sequence Modeling on Cortical Surfaces: Robustness, Spatial Ordering, and Resolution in Infant Brain Age Prediction

Gaibor, Edward

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Gaire, Sunil Kumar

• [MIRASOL] Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap
• [DeCaF] Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Gal-Or, Orly

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Galande, Ashwini

• [RIME] Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction

Galanty, Maria

• [AMAI] Prediction of Atrial Fibrillation Onset from Continuous Intensive Care Unit ECG Monitoring: A Deep Learning Approach

Galassi, Francesca

• [EMA] StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Galdran, Adrian

• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Gale, Sara

• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Gallinari, Patrick

• [STACOM] Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction

Gallo, Ignazio

• [MIRASOL] Efficient Diffusion-Based Synthetic Augmentation with Automatic OOD-Driven Filtering for Long-Tailed Skin Lesion Classification in Resource-Constrained Settings

Gallée, Luisa

• [AMAI] Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

Galvin, Colin Patrick

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Gamage, Thiranja P. Babarenda

• [Deep-Brea3th] Quality-Aware Multi-class Breast MRI Segmentation Workflow

Gamgam, Gurur

• [GRAIL] FBN-Bench: Do Graph-Based Deep Learning Models Improve Functional Brain Network Classification?

Ganapathi, Iyyakutti Iyappan

• [COMPAYL] CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology
• [ASMUS] Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Gani, Cihan

• [MIART] Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

Gannavarapu, Sai

• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Gao, Fengyi

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Gao, Mingqi

• [CARE] CIRSeg: Coarse-to-Fine Intensity-Robust Liver Segmentation with Source-Free Continual Test-Time Adaptation

Gao, Riqiang

• [ShapeMI] SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections

Gao, Rui

• [EndoLINA] CPR-Critic: Target-Label-Free Per-Frame Selection of Monocular Depth Estimators for Endoscopy

Gao, Xinyi

• [CARE] Myocardial Scar and Edema Segmentation with Partial Labels and LGE-Guided Rescue

Gao, Yao

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Gao, Yuan

• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Gao, Yucheng

• [MWM] Multimodal Data Integration via Digital Twins: Analysis of Aneurysm Rupture Risk Factors

Gao, Yuhuai

• [ASMUS] Learning to Annotate, Optimizing to Estimate: A De-amortized Inference Framework for Ultrasound Confidence Maps

Gao, Zhichao

• [SASHIMI] SonoSPADE: Real-Time, Per-Tissue Ultrasound Texture Synthesis for Closed-Loop Acquisition

Gapp, Christian

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework
• [ISLES] A Metadata-Informed Two-Stage nnU-Net Cascade for Ischemic Stroke Lesion Segmentation

Garbarino, Sara

• [MLCN-2026] From Blood to Brain: Uncertainty-Aware Adaptive Fusion for Alzheimer’s Staging and Progression Under Incomplete Multimodal Profiles

Garcia Mosquera, Laura Valentina

• [MRIxFields2026] Pairing-Independent Cross-Field MRI Translation: Synthetic Supervision and Structure-Preserving Domain Adaptation for Ultra-Low-Field to High-Field Synthesis

Garcia, Eloy

• [Deep-Brea3th] Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation

Garcia, Inês Cruchinho

• [Deep-Brea3th] Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Garcia, Rafael

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Garcia-Henao, John

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Garcia-Lunar, Ines

• [ASMUS] Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

García-Marín, Luis M.

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

García-Rodríguez, José

• [BraTS-PEDs] Modelling the Infiltrative Margin as a Graded Target: Reaction–Diffusion Soft Labels and Region-Specific Ensembling for Paediatric Brain Tumour Segmentation

García-Sevilla, Mónica

• [DT4H] Towards surgical digital twins: a soft-tissue phantom study on stiffness-ratio calibration for AR-guided interventions

García-Zapirain Soto, Begoña

• [MLMI] Benchmarking Self-Supervised Pretraining Strategies for Chest X-Ray Triage and Out-of-Distribution Transfer

Garg, Nikunj

• [BraTS-PEDs] Two-Track Ensembling for Pediatric Brain Tumor Segmentation: Class-Specific Fusion and Voxel-Wise Intersection for Rare Subregions

Garic, Dea

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Garro-Tejerina, Marcos

• [DT4H] Towards surgical digital twins: a soft-tissue phantom study on stiffness-ratio calibration for AR-guided interventions

Garrucho, Lidia

• [AFRICAI] Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Garyfallidis, Eleftherios

• [BrainWorks] Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net

Gaser, Christian

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Gateno, Jaime

• [ODIN] PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Gatimu, Maurine Wanjiku

• [AFRICAI] Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification

Gatti, Mattia

• [MIRASOL] Efficient Diffusion-Based Synthetic Augmentation with Automatic OOD-Driven Filtering for Long-Tailed Skin Lesion Classification in Resource-Constrained Settings

Gavrielov, Naama

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes
• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Gawie-Rotman, Moran

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes

Gayen, Soumyajit

• [EMA] SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images

Gazda, Matej

• [MVAA] Geometry-Aware and Semi-Supervised Ensembles for Multimodal Mitral Valve Segmentation

Gbadamosi, Yewande

• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Gbamila, Binawei

• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Gbayisomore, Tolulope Judah

• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Gbolahan, Temitayo Ismail A.

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Ge, Siyuan

• [MRIxFields2026] N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation
• [MRIxFields2026] DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation

Ge, Zongyuan

• [TIA] Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation

Gebre, Abadi K.

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Gee, James

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Geelkerken, Bob H.

• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Geethanath, Sairam

• [LISA] Enhancing Neuroanatomical Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI

Geissler, Kai

• [HECKTOR] Unified vs modular methods for head-neck tumor and lymph node segmentation, staging, and survival prediction
• [EMA] RadYOLO: Computationally Efficient 3D Object Detection and Segmentation in CT and MRI

Gelana, Fraol

• [SASHIMI] WAND-CXR: A Morphometric Wasserstein Metric for Evaluating Anatomical Plausibility in Synthetic Chest Radiographs

Gelikonov, Grigory

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Gellert, Arpad

• [BraTS-PEDs] NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Georgas, Konstantinos

• [MIART] An Uncertainty-Guided Multi-Scale SwinUNETR Framework for 3D Larynx Segmentation in CT
• [MAMA-SYNTH] DARE: Dilated Anatomy-Anchored Residual Enhancement for Virtual Contrast Synthesis in Breast DCE-MRI

George, Ajo Babu

• [ODIN] Diagnosis-Aware Multimodal Retrieval for Paired CBCT Scans and Clinical Notes
• [BraTS-METS] METS-PRO R2: Lesion-Aware Positive Residual Refinement for Brain Metastasis Segmentation

Georgescu, Bogdan

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Georgiou, Efthymios

• [MedAGI] A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma
• [COMPAYL] Investigating Test-Time Training for Patch Classification in Pathology

Gerard, Sarah E.

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT
• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease
• [TIA] Pulmonary Artery-to-Aorta Ratio Estimation via Landmark-Guided Orthogonal Slicing

Geremia, Ezequiel

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Gerig, Guido

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Germani, Elodie

• [FAIMI-BRIDGE-EPIMI] Foundational values for foundation models
• [CAPI-WOMEN] Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints
• [CAPI-WOMEN] Comparing Problem Formulations for Endometriosis Lesion Detection on T2-weighted Pelvic MRI

Gevaert, Olivier

• [SASHIMI] CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training
• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Ghadiri, Farnoosh

• [MedAgent] AgentFL-Bench: Benchmarking Small Language Models for Fairness Governance in Federated Clinical AI

Ghafoor, Haris

• [DT4H] tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins

Ghafouri, Neda

• [MedAgent] Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care
• [AMAI] Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

Ghalmi, Ahmed Nour Eddine

• [MedReason] Cross-Model Candidate Selection for Grounded Medical Visual Reasoning: A Systematic Comparison of Fourteen Fine-Tuned Vision-Language Models

Ghanbari Azar, Saeideh

• [PedAItrics] Latent Space Oversampling for Adult–Pediatric Imbalance in Brain Tumor Segmentation

Ghanem, Bernard

• [MedAGI] B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures
• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Ghanem, Louis R.

• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Ghassami, Mahmood

• [OMIA] Local scale-free fluctuation analysis for angle closure Detection in AS-OCT images

Ghatwary, Noha

• [CaPTion] Fed-FGS: Domain-Generalized Federated Polyp Segmentation via Fourier Hard-Thresholding and Gradient Scaling
• [CaPTion] Confidence-Aware Multimodal Survival Prediction in Renal Cell Carcinoma using Graph-Based Histopathology Encoding

Ghonim, Mohamed

• [BraTS-METS] A Detection-Aware SegResNetDS Ensemble and a Measured Null Space for Brain Metastasis Segmentation in BraTS 2026

Ghonim, Mohanad

• [BraTS-METS] A Detection-Aware SegResNetDS Ensemble and a Measured Null Space for Brain Metastasis Segmentation in BraTS 2026

Ghoraba, Mahmoud

• [BraTS-METS] A Detection-Aware SegResNetDS Ensemble and a Measured Null Space for Brain Metastasis Segmentation in BraTS 2026

Ghoraba, Mohamed

• [BraTS-METS] A Detection-Aware SegResNetDS Ensemble and a Measured Null Space for Brain Metastasis Segmentation in BraTS 2026

Ghoreishi, Mohammad

• [OMIA] Local scale-free fluctuation analysis for angle closure Detection in AS-OCT images

Ghosh, Shantanu

• [Deep-Brea3th] Mammo2Tomo: Adapting Mammo-CLIP to learn text-aligned DBT volume representations

Ghosh, Shaurnav

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Ghosh, Shrimanti

• [EchoRisk] General vs. Echo-Specific Video Foundation Models for Echocardiographic Risk

Ghoul, Aya

• [MIART] Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

Giandini, Carlotta

• [MIART] Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study

Giannarou, Stamatia

• [Off-Grid] 4D Triangle Splatting Reconstruction of Dynamic Endoscopic Scenes from Monocular Videos

Giardina, Claudia

• [DGM4MICCAI] Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI

Gibello, Riccardo

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Gibson, Eli

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis
• [HAIC26] Adapt While You Annotate: The Missing Complement to Interactive Segmentation

Gibson, Jane S.

• [MedAgent] Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care

Giets, Elke

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Giganti, Francesco

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis

Gil, Debora

• [CaPTion] Attention-based prediction of lymph node status in pt1 CRC using a histopathology foundational model

Gilani, Syed Zulqarnain

• [AMAI] Modeling Abnormality as Semantic Deviation for Few-Shot Medical Anomaly Detection
• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Gilhuijs, Kenneth

• [iMIMIC] Less Annotation, More Interpretation: Prior-Guided Concept Bottleneck Models for Interpretable Cancer Imaging Diagnosis

Gillani, Amna

• [MultiTab] Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data

Gilmore, Asa

• [MedAGI] A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions

Ginzinger, Felix

• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Gionanidis, Emmanouil

• [STACOM] Silent Failures of Right-Ventricular Ejection Fraction at High Segmentation Overlap: Evidence from Multi-Vendor Cardiac MRI

Giordano, Loris

• [ShapeMI] Landmark Detection Supported by Anatomy Segmentation and Geometric Constraints

Giouroukou, Konstantina

• [DEMI2026] The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI

Giraud, Rémi

• [BrainWorks] Hierarchical Differential MedViT-3D: Specialized Hybrid Transformer for Multiclass Diagnosis of Neurodegenerative Diseases

Girault, Jessica B.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Girish, Hari

• [BraTS-METS] Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector
• [BraTS-GoAT] Regions7525_DA5: Harnessing Adaptations of Existing nnU-Net Features to Improve Generalizability of Brain Tumor Segmentation

Gisbertz, Suzanne S.

• [UNSURE2026] Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Gitau, Antony

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Gitelman, Leah

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Giudice, Amerigo

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Gizewski, Elke R.

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Glatard, Tristan

• [UNSURE2026] Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation
• [MedAGI] A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions

Gleave, Emma J.

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Gleiter, Lion J.

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Glocker, Ben

• [STACOM] GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification
• [SASHIMI] Few-Shot Flow Matching with Stochastic Barycentric Sampling for Image Synthesis
• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification
• [FAIMI-BRIDGE-EPIMI] Subgroup performance analysis of adaptation strategies for chest X-ray foundation models
• [FAIMI-BRIDGE-EPIMI] Counterfactual Stress Testing for Image Classification Models
• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification
• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Godwin, Boniface Chukwuemeka

• [AFRICAI] LRX-Bench: Robustness Evaluation of an RLVR-Trained Medical Vision–Language Model under Deployment-Motivated Chest X-ray Degradations

Goedhart, Aisha

• [AFRICAI] Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Goetschalckx, Lore

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Goetz, Christian

• [STACOM] Beyond the Left Atrium: Joint Generative Modeling of Bi-Atrial Anatomy

Goffart, Sébastien

• [STACOM] GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity

Goggin, Sean Patrick

• [EMERGE] Evaluating Concept-guided Visual Counterfactual Generation in Medical Imaging

Gogineni, Vinay Chakravarthi

• [SASHIMI] Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy
• [MI4MedFM] The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Goksel, Orcun

• [RIME] DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction

Golby, Alexandra

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Goldberger, Jacob

• [iMIMIC] A Probabilistic Source-Free Domain Adaptation Method for Concept Bottleneck Models
• [UNSURE2026] Image Segmentation Calibration Based on Estimated Segmentation Quality

Goldin, Robert

• [COMPAYL] Morphospatial Phenotyping of p21-Positive Hepatocytes in Chronic Liver Disease

Goldstein, Jesse

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Golland, Polina

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction
• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Golnejad Parluki, Saina

• [ISLES] MWCA-Net: Metadata-Conditioned 3D UNet for ISLES 2026 Stroke Segmentation

Golse, Nicolas

• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Gomez, Alberto

• [ASMUS] Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Gomez, Catalina

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Gontran, Emilie

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Gonzalez Riveros, Jesus David

• [SWITCH] Contrastive Alignment and CT-Guided Distillation for Ultrasound-Only Intracerebral Hemorrhage Screening
• [MVAA] Formulation Diversity and Boundary-Aware Postprocessing for Mitral Valve Segmentation in 3D TEE and 2D Surgical Video

Gonzalez, Camila

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

González Ballester, Miguel A.

• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations

González, Cristina

• [MultiTab] Whole-Body MRI Classification via Prompt-Based Clinical Conditioning

González, Sebastián

• [MedAGI] B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures

Gonçalves, João

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Gordaliza, Pedro M.

• [Off-Grid] NIMOSEF-R: Neural Implicit Motion and Segmentation Functions with Riemannian Embedding Priors and Breath-Motion Correction

Gordon, Ilyssa

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Gori, Pietro

• [EMA] Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

Gort, Pieter C.

• [CaPTion] Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Gottfrois, Philippe

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Gottwald, Tristan

• [PIPPI] STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs
• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Gou, Zhe

• [MVAA] BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Gouttard, Sylvain

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Gouveia, Pedro

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Govani, Viraj

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Govind, Darshana

• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Gozan, Richard

• [MIART] Generalizing Monte Carlo dose reconstruction beyond the training anatomy using conditional diffusion models

Goze-Bac, C.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Gracias, Nuno

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Graewert, Frederik

• [LISA] Ensembled Laterality-Aware Residual nnU-Net for Low-Field Pediatric Brain MRI Segmentation

Graf, Robert

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Gragnaniello, Gianluca

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Graham, Simon J.

• [CMRxRecon2026] Stage-Aligned Knowledge Distillation for Fast and Memory-Efficient 4D Flow MRI Reconstruction

Grajales, Andres Felipe Romero

• [BraTS-METS] Rare-Region Optimization and Ensemble Composition for Pre- and Post-Treatment Brain Metastases Segmentation

Grams, Astrid E.

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Grana, Costantino

• [ODIN] A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Granese, Federica

• [STACOM] TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

Grange, Clemens

• [CAPI-WOMEN] Interactive Foundation Models for 3D MR Uterus Segmentation: Performance and Limitations

Grangetto, Marco

• [RHEUM-AI] Ordinal DINOv2 Transfer for Joint-Level SvdH Scoring: What Helps and What Does Not

Grant, P. Ellen

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction
• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms
• [MultiTab] Conditional Intervention Analysis: Toward Identifying Causal Features in Tabular Multimodal Data
• [GRAIL] Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

Grayson, Peter C.

• [ShapeMI] VessComNet: Geometry-Aware 3D Vessel Completion Across Non-Contrast and Contrast-Enhanced CT Images

Grazia, Giacomo

• [ShapeMI] Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

Grbic, Sasa

• [ShapeMI] SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections
• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Green, Ta’shawnna

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Greenspan, Hayit

• [SASHIMI] From Undersampled to Diagnostic: Flow-Translated Embeddings for Knee Pathology Classification in Accelerated MRI
• [SASHIMI] SymmAdapt: Symmetrical Flow Matching for Source-Free Domain Adaptation in Medical Image Segmentation
• [MLMI] Towards Distortion–Perception-Balanced MRI Reconstruction using Posterior-Mean Rectified Flow

Grenne, Bjørnar

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Gressel, Gilad

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Greve, Douglas N.

• [SASHIMI] DisMorph: learning to disentangle technical distortions from true biological change

Greven, Sonja

• [ShapeMI] Deep Shape Regression for Planar Curves with Multimodal Covariates

Grewal, Armaan

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Grewal, Jasmine

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Grigis, Antoine

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Grossi, Giuliano

• [ShapeMI] Learning the Marfan Face: A Conditional Mesh VAE for Explainable Screening and Synthetic Generation

Grosskopf, Erik

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Grossman, Tal

• [SASHIMI] SymmAdapt: Symmetrical Flow Matching for Source-Free Domain Adaptation in Medical Image Segmentation

Grutman, Tal

• [ASMUS] UltraPIPS: Improving model perception in B-mode ultrasound with foundation models

Grzadzinski, Rebecca L.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Grzyb, Mateusz

• [Deep-Brea3th] Breast MRI Sequence Type Classification using Convolutional Neural Networks

Gröger, Fabian

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Gu, Dongdong

• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Gu, Hanxue

• [MAMA-SYNTH] When Regression Beats Generation: Virtual Contrast-Enhanced Breast MRI and What Its Metrics Reward
• [ISLES] LightMedSeg-ISLES: Stroke Lesion Segmentation with 81× Fewer Parameters than nnU-Net
• [BraTS-Inpainting] Anatomy-Aware Healthy Brain Inpainting: Integrating Tissue Guidance Across Inputs, Features, and Objectives

Gu, Jia

• [CMMCA] Pulmonary Vascular Fractal Dimension on Non-Contrast Planning CT as a Potential Imaging Biomarker for Early Radiation-Induced Lung Injury: A Multi-Scale Structural Analysis

Gu, Jinchen

• [MLMI] SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease

Gu, Kevin

• [ODIN] PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Gu, Lei

• [MVAA] Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

Gu, Qiao

• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Gu, Yeong Hyeon

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization
• [LISA] Dual-Annotation Assisted Boundary-Aware Segmentation for Ultra-Low-Field Pediatric Brain MRI

Gu, Yi

• [UNSURE2026] Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Gu, Yu

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Gu, Yun

• [STACOM] FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI
• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [MedAGI] U-VLM: Hierarchical Vision Language Modeling for Report Generation
• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
• [EndoLINA] Adapting Generalizable Visual Geometry Models for Endoscopic 3D Reconstruction
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization
• [Deep-Brea3th] Quality-Aware Multi-class Breast MRI Segmentation Workflow

Gu, Zifan

• [MIRASOL] Edge Deployment of Multimodal Clinical AI on Low-Cost Hardware for Resource-Constrained Settings

Guan, Mengshan

• [BraTS-Path] Pathology Foundation Models Under Class Starvation and Distribution Shift: NeuroForge at the BraTS 2026 Pathology Challenge

Guan, Tongfan

• [CREATE] StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Guarrasi, Valerio

• [SASHIMI] Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching
• [MedAgent] Evaluating Procedural Tool-Calling in AI Agents for Lung Cancer Workflows

Gubbiotti, Maria A.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Guclu, Rumeysa

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Gudepu, Rishith

• [UNSURE2026] When Does Prompt-Perturbation Uncertainty Catch Interactive-Segmentation Failures? An Empirical Study on SAM/MedSAM

Gudin-de-vallerin, A.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Guerra, Gabriel

• [LISA] Rigor over Novelty in Ultra-Low-Field Pediatric Brain MRI: Quality Control and Subcortical Segmentation for the LISA Challenge 2026

Guerrero-Toro, Cindy

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Guessoum, Sam

• [HECKTOR] A Dual-Branch Fusion Pipeline for Head and Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival Prediction: HECKTOR 2026

Guetarni, Bilel

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction

Guglielmo, Gianluca

• [UNSURE2026] Foundation Model and Radiomics Distance Scores for Post-Hoc Segmentation Failure Detection

Gui, Liangqiao

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Gui, Luying

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Guibault, François

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform
• [MWM] Inside the Preparation: Multimodal CBCT–Intraoral Scan Fusion for Dental Preparations

Guidon, Arnaud

• [MLMI] Model-based distortion correction for Magnetic Resonance Echo Planar Imaging
• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Guija-Valiente, Tomás

• [MIART] SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation
• [BraTS-Inpainting] RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Guillet, Christophe

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Guillou, Lionel

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Guimarães, Silvio J. F.

• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Guinea, Alejandro Sanchez

• [UNSURE2026] Sequential Conformal Safety for Trustworthy Clinical Decision Pathways in Ophthalmology

Guitton, Florian

• [MedAgent] LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

Guldhammer-Skov, Karen

• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations

Gulluk, H. Ibrahim

• [SASHIMI] CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training

Gulotta, Chiara

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Gunawardhana, Malitha

• [STACOM] FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI

Gunderson, Fabio

• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Guo, Bowen

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging

Guo, Fangjin

• [MVAA] Task-Specific Segmentation Pipelines for the MVAA Challenge

Guo, Hui

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Guo, Jiapan

• [UNSURE2026] Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset

Guo, Jiarong

• [MVAA] StateMV: Trust-Gated Anatomy-State Transitions for Multimodal Mitral Valve Segmentation

Guo, Jiashuo

• [ODIN-challenges] Clinically Guided Rendering for Orthodontic Report Generation

Guo, Jiaxin

• [CREATE] StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Guo, Jinsong

• [MLCN-2026] EEG-LoGNet: Bridging Local Features and Global Contexts for EEG-Based Motor Imagery Classification

Guo, Junlin

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Guo, Lingyu

• [BraTS-Inpainting] Mask-Guided 3D U-Net with Component-Wise Tiled Inference for Healthy Brain Tissue Inpainting

Guo, Lingzhong

• [PIPPI] The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Guo, Qiaojuan

• [CMRSeg] Geometry-Aware View Routing with Hybrid 2.5D–3D Context for Multi-View Cine CMR Segmentation

Guo, Xiaoqing

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI
• [HAIC26] Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers

Guo, Xingyi

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics

Guo, Yi

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging
• [FoundUS] USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement

Guo, Zhiling

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Guo, Zhuoxin

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Guo, Zixian

• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Gupta, Aashish Chandra

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

Gupta, Amit

• [CaPTion] SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Gupta, Ankur

• [HECKTOR] JOTAC-HN: Joint Outcome and TN Assessment Cascade for Head and Neck Cancers
• [BraTS-PEDs] Two-Track Ensembling for Pediatric Brain Tumor Segmentation: Class-Specific Fusion and Voxel-Wise Intersection for Rare Subregions

Gupta, Ayush

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement
• [CaPTion] SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Gupta, Dhruv

• [FAIMI-BRIDGE-EPIMI] Subgroup performance analysis of adaptation strategies for chest X-ray foundation models

Gupta, Pooja

• [BraTS-Path] Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

Gurdal, Sibel Ozkan

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Gurevitch, Oren

• [ISLES] Ranking-aware model selection for stroke lesion segmentation

Gustav, Marco

• [EMA] Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

Gutierrez-Alvarez, Isidro

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot

Gutiérrez-Fernández, Miriam

• [TIA] Anatomy-Aware MAE Pretraining for Generalizable Coronary Artery Segmentation

Gutman, Boris A.

• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification
• [ShapeMI] Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model

Guyader, Jean-Marie

• [EMERGE] Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

Guépié, Blaise Kévin

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Gwachha, Saship

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Gwak, Seunghyun

• [OMIA] When to Denoise Longitudinal Visual Field Labels: Anchor-Preserving Supervision under Short Follow-up

Gyawali, Prashnna Kumar

• [DEMI2026] Subspace-Based Auditing of Bottlenecks in Retinal Fundus Foundation Embeddings

Gyening, Rose-Mary Owusuaa Mensah

• [FAIMI-BRIDGE-EPIMI] When Fairness Transfer Backfires: Dark-Skin Inversion in Dermatology Foundation Models and a Minimal In-Distribution Fix
• [CAPI-WOMEN] Patient-Level Data Leakage in Colposcopy Classification: A Cautionary Study with Evidential Uncertainty Quantification for Cervical Cancer Screening
• [AFRICAI] Accurate but Not Equally Trustworthy: Benchmarking Foundation Models for Fetal Ultrasound in Africa

Gyöngy, Miklós

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Géraud, Thierry

• [AMPLIFAI] Multi-Source Feature Fusion for LI-RADS Classification in Multi-Phase CT

Gómez-López, Juan Pablo

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Götz, Michael

• [MedAgent] A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
• [CLiMeM] Investigating Test-Time Adaptation of Convolutional Neural Networks for Medical Image Analysis under Distribution Shifts
• [AMAI] Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

Ha, Hojin

• [CMRxRecon2026] Separating Aliasing from Flow: Temporal-Frequency Regularization for Unrolled 4D flow MRI Reconstruction

Haack, Anna-Maria

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning

Haber, Suzanne N.

• [cdmri] Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology

Habes, Mohamad

• [MLCN-2026] Implicit Neural Representations for Modeling the Accumulation of Tau Protein in the Brain

Habib, Tushar MD Ahasan

• [CARE] Dual-Task Multi-Sequence MRI Framework: 3D Segmentation and Ensembled Fibrosis Staging of the Liver

Habte, Ermias

• [cdmri] Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology

Hachicha, Slim

• [MLMI] A coarse to fine approach to magnetic resonance spectroscopy quantification

Hacihaliloglu, Ilker

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
• [MLMI] MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation
• [MIRASOL] WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Hadamitzky, Martin

• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

Hadavale, Gaurav Suresh

• [MI4MedFM] Reading Between the Lesions: Auditing Whether Multimodal Dermatology Classifiers Actually Use Clinical Text

Haddadi Avval, Atlas

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Haddou, Yousra

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Hadjiiski, Lubomir

• [CaPTion] TRAIL: Trajectory-Aware Reward Attribution and Inference for Longitudinal Multiple Myeloma Treatment Trajectories

Hadler, Dominique

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Hadler, Thomas

• [STACOM] A Neural Implicit Cardiac Atlas with Clinically Readable Subject Embeddings

Hadzic, Arnela

• [BraTS-Inpainting] Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors

Hafezi Moghadas, Maedeh

• [SWITCH] X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Hagen, Luca

• [MedAgent] Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Hagenberg, Jonas

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Haghighi, Ali

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Hagopian, Talar

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Hahn, Tim

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Haider, Kahkashan

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Hajati, Nasim

• [MLMI] CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Hakkakian, Kevin

• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Hallerfelt, Nils L.

• [CaPTion] Efficient Self-Supervised Pre-Training in Endoscopy

Hallqvist, Andreas

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Haltmeier, Markus

• [MVAA] Multi-Modal Mitral Valve Anatomy Analysis: Supervised and Semi-Supervised Segmentation Across CT, Ultrasound, and Surgical Video

Hamadache, Rachika E.

• [AIMS-TBI] nnU-Net and Domain Randomization for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury

Hamamci, Ibrahim Ethem

• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Hamarneh, Ghassan

• [HAIC26] Accounting for Over-Reliance in AI-Assisted Performance Studies

Hamm, Benjamin

• [MAMA-SYNTH] Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans

Hamm, Charlie Alexander

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Hamm, Jihun

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Hammami, Chaima

• [MLCN-2026] TIIC: Tabular Integration of Imaging and Clinical Data for Interpretable Multimodal Inference for Alzheimer’s Disease

Hammond, Tracy

• [TIA] Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation
• [MedAgent] Too Tight or Too Loose: How VLM Persona Committees Miscalibrate Inter-Rater Ambiguity in Medical Image Segmentation

Han, Haozhou

• [BraTS-PEDs] Hierarchical nnU-Net Logits for Pediatric Brain Tumor Subregion Segmentation

Han, Juntao

• [ODIN-challenges] MMLVM: Geometry-Aware Multimodal Language Modeling for Orthodontic Report Generation

Han, Lele

• [ODIN-challenges] Semi-Supervised Dental CBCT Report Generation via Entity-Aware Dual-Space Retrieval

Han, Luyi

• [TopAneu] Anatomy-Aware Intracranial Aneurysm Analysis with Vessel-Guided Dual-Decoder Multi-Task Learning

Han, Min

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Han, Taewon

• [HAIC26] Verbalized Findings as the Interface for Near-Term Human–AI Collaboration in Radiology: A Clinical Perspective on LLM-Assisted Diagnosis
• [HAIC26] Human Checkpoints in Automated Speech-to-Report Generation: Radiologist Correction for CEUS LI-RADS Categorization
• [ASMUS] Beyond Single Diagnostic Accuracy: Three-Level Hierarchical Evaluation of Accuracy and Reliability in Multimodal LLM for Ultrasound Interpretation

Han, Taiyu

• [FoundUS] Towards Universal Ultrasound Biometry with Task-aware Foundation Models

Han, Wennan

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Han, Xudong

• [MLMI] Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Han, Yeon Gyu

• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using an Ensemble of MRI Foundation Models

Han, Yushui

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Han, Zaidao

• [OMIA] Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Hanai, Akiko

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Handels, Heinz

• [Off-Grid] Mirror and Map: Symmetric Latent Deformation Priors for Deformable Image Registration using Implicit Neural Representations
• [OMIA] Weakly Supervised Retinal Layer Segmentation in OCT
• [ELAMI] Evaluating Medical Report Generation on Real Clinical Data: A Case Study

Haney-Aubert, Caelan Max

• [ASMUS] Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI

Hanfan, Luthfi Nur

• [SAFER] Faithful Reasoning, Not More Reasoning: Chain-of-Thought Ablation for Tuberculosis Findings in Indonesian Chest X-Rays

Hannan, Abdul

• [EMA] InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation

Hannemose, Morten Rieger

• [UNSURE2026] Geometric Diversity: Mixed-Curvature Heads as a Substitute for Ensemble Independence

Hannetel, Paul

• [COMPAYL] Morphology-Preserving Virtual Staining from H&E to PAS and IHC using Enhanced Diffusion Models

Hannick, Jessica

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Hansen, Bjørn

• [STACOM] Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion

Hansen, Lasse

• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Hansen, Michael

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Hanusová, Martina

• [COMPAYL] AutoVLAK - An Automated Pipeline for Vision-Language Knowledge Base Curation from Open-Access Medical Literature

Hao, Huaying

• [OMIA] A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

Hao, Jing

• [ODIN-challenges] Clinically Guided Rendering for Orthodontic Report Generation

Hao, Qikai

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Hao, Yingqi

• [MRIxFields2026] Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining
• [LISA] Quality Assessment, Enhancement, and Subcortical Segmentation of Ultra-Low-Field Pediatric Brain MRI: The LISA 2026 Challenge

Haque, Md Rakibul

• [MLMI] Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods

Haralovic, Marko

• [SAFER] When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning

Harders, Matthias

• [SASHIMI] Realistic Synthetic Data for Annotation-Free Pretraining in Liver Vasculature Segmentation
• [CLIP] Differentiable Manifold Optimization for Fast, Multi-Needle Ablation Planning

Hareendranathan, Abhilash

• [RIME] A Hierarchical Patch-wise Wavelet Loss for High-Frequency Detail Preservation in Accelerated MRI Reconstruction

Hargarter, Niklas

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
• [COMPAYL] RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Hargunani, Rikin

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Harms, Joseph

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Harmsen, Hannah

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Harris-Birtill, David

• [MI4MedFM] AUC Is Not Enough: Compression Can Preserve Classifier Performance While Altering Interpretable Structure in Pathology Embeddings
• [EMA] Nine Dimensions Are Enough for Patch-Level Classification with Histopathology Foundation Model Embeddings

Hart, Steven

• [COMPAYL] A Benchmark of Foundation Models for Chemotherapy Response Scoring in High-Grade Serous Ovarian Cancer

Hartley, Ruth

• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Harvey, Nicholas C.

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Has, Cristina

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Hasasyan, Rima

• [MLCN-2026] Automated Segmentation and Height Measurement of Pituitary Gland

Hashemi, Nima

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation
• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Hashemi, Saeedeh

• [COMPAYL] When RNA is Missing: A Multimodal Fusion Benchmark for BCG Progression Prediction in HR-NMIBC

Hashimoto, Noriaki

• [COMPAYL] Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space

Hashmi, Anees Ur Rehman

• [SAFER] CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

Hasny, Marta

• [MultiTab] Whole-Body MRI Classification via Prompt-Based Clinical Conditioning

Hassan, Abboud F.

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Hassan, Ghulam Mubashar

• [OMIA] ArTiSan: Archetype-Aware TimeSformer for Fast Glaucoma Progression
• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Hassan, Khawaja Murad ul

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Hassan, Maryam Olaitan

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Hassan, Mubashir-Ul

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Hassan, Rida

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Hassan, Taimur

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Hatem, Malak

• [MIRASOL] Segmentation-Guided Inpainting and Imbalance-Aware Learning for Robust Ovarian Tumor Classification in Ultrasound

Hatem, Stephan

• [MLMI] Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

Hayashi, Yuichiro

• [MLMI] Reducing False Positives in Pancreatic Tumor Segmentation via Multi-Scale Texture Enhancement and Curriculum Learning
• [ELAMI] Balancing Retrieved Evidence for 3D CT Report Generation

Hayden, Oliver

• [AMAI] Association of Cardiovascular Risk Factors with Segmentation-Free Motion-Derived Coronary Artery Dynamics

Haynes, Robin L.

• [PIPPI] High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation

Hays, Savannah P.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior

Hazenberg, Constantijn

• [STACOM] Multi-Stage Vascular Deformation Mapping in Extracranial Carotid Aneurysms

Hazlett, Heather C.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Hazra, Soujanya

• [MultiTab] Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification

He, Chingyi

• [FoundUS] Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026

He, Dianning

• [CARE] ABMP-Net: Abnormality-Aware Bidirectional Motion-Physics Network for Cine CMR-Based Myocardial Scar Segmentation

He, Jiahui

• [CMMCA] Pulmonary Vascular Fractal Dimension on Non-Contrast Planning CT as a Potential Imaging Biomarker for Early Radiation-Induced Lung Injury: A Multi-Scale Structural Analysis

He, Jianbao

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

He, Jinlong

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

He, Mengqi

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression

He, Miaoxia

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

He, Mingguang

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PanOCT: A Unified OCT-based Whole-Eye Reconstruction Framework for Ocular Digital Twin Construction
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

He, Peilin

• [GRAIL] Imaging the Topology of Dynamic Brain Connectivity

He, Ruihan

• [MVAA] Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

He, Runnan

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

He, Siyuan

• [HAIC26] Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers

He, Xiangjian

• [MVAA] MVAA-Seg: A Multi-Stage Segmentation Framework for Mitral Valve Anatomy Analysis
• [FoundUS] UniUSB: Domain-Aware Adaptation of Vision Foundation Models for Unified Multi-Domain Ultrasound Biometry
• [CMRSeg] DINO-CMR: DINOv3-Driven View-Hybrid Segmentation with Decoupled Measurement for Multi-Sequence CMR

He, Xiangteng

• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

He, Yichu

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

He, Yonghong

• [COMPAYL] PathPool: Decoupled and Pooled Feature Serving for Pathology Foundation Models

He, Yongsheng

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification

He, Youquan

• [LISA] Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis

He, Yuanzhe

• [MLMI] Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease

He, Yue

• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Healy, Nuala A.

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Heekin, Sixten

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Heidari, Moein

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
• [MLMI] MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation
• [MIRASOL] WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Heidarikahkesh, Shirin

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Heide, Maurice

• [EMA] Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

Heidinger, Eva M.

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Hein, Matthias

• [ADSMI2024] LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion

Heinein, Mina

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Heinrich, Mattias P.

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections
• [Off-Grid] Over-parameterising of optimisation for sparse 3D medical image registration
• [Off-Grid] Surface-Conditioned Implicit Reconstruction of Internal Anatomy for Automated Patient Positioning
• [EMA] Guess where the pancreas is: scalable 3D foundation features with Finite quantisation, neighbourhood attention and red-black masking
• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Heirman, Casey C.

• [COMPAYL] Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Heiselman, Jon S.

• [DT4H] Modeling Progression of Microwave Ablation Volumes by Neural Surrogates

Heller, Nick

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Hellwich, Olaf

• [MVAA] Multimodal Mitral Valve Segmentation: Mesh-Based 3D and Depth-Transfer Learning

Henckel, John D.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Henderson, Paul

• [DGM4MICCAI] Leveraging Multi-Representation Features from Diffusion Models for Unsupervised 3D Medical Image Segmentation

Hendrich, Eva

• [AMAI] Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

Henedak, Mayar T.

• [MIRASOL] Contrastive Radiomics-to-Image Alignment for Cross-Modal Mammographic Mass Retrieval

Heng, Yue

• [ELAMI] Balancing Retrieved Evidence for 3D CT Report Generation

Hennemuth, Anja

• [MVAA] Multimodal Mitral Valve Segmentation: Mesh-Based 3D and Depth-Transfer Learning

Henriques, Joao F.

• [ASMUS] USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance

Henríquez, Héctor

• [MIRASOL] LDCT-to-SDCT as a Bridge Problem: Single-Step Residual Endpoint Flow Matching for Real-Time Denoising

Heo, Jihye

• [COMPAYL] Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Heo, Juhyun

• [LISA] Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Heras Rivera, Juampablo E.

• [ISLES] T1w MRI Stroke Lesion Segmentation with Optimized Preprocessing and Residual Encoder nnU-Net

Hermida, Uxio

• [STACOM] TT3D: Triangular Transport for 3D Left Ventricle Reconstruction

Hernandez, Brenda Y.

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Hernandez, Michael

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Hernandez, Monica

• [AFRICAI] NaijaCXR-VLM: A Multi-task Vision-Language Model for Chest X-ray Analysis in Low-resource Settings

Hernandez-Tamames, Juan A.

• [UNSURE2026] Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping

Herz, Sebastian

• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Herzog, Benedikt

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Hesser, Jürgen

• [ShapeMI] DINE: Distance Is Not Enough Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration

Hidaka, Keisuke

• [MAMA-SYNTH] Tumor-Aware Residual nnU-Net for Virtual Peak-Enhancement Breast DCE-MRI Synthesis from a Single Pre-Contrast Slice

Higashita, Risa

• [OMIA] Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Hilgetag, Claus C.

• [ISLES] MWCA-Net: Metadata-Conditioned 3D UNet for ISLES 2026 Stroke Segmentation

Hillenhagen, Heiko

• [MedAgent] A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
• [AMAI] Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

Hiller, Markus

• [DGM4MICCAI] From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors

Hillman, Elizabeth

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Hilvo, Mika

• [DeCaF] LAFFS: LASSO Assisted Federated Feature Selection

Himmetoglu, Meva

• [MLMI] Inter-Slice Acquisition Budget Allocation for Pathology Aware Accelerated MRI

Hindel, Julia

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Hines, Andrew

• [SASHIMI] WAND-CXR: A Morphometric Wasserstein Metric for Evaluating Anatomical Plausibility in Synthetic Chest Radiographs

Hinojosa, Carlos

• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Hinrichs-Puladi, Behrus

• [ShapeMI] What Does Anatomical Shape Know About You? A Multi-Organ, Shape-Only Study of Demographic Prediction, Attribution, and Privacy

Hinterwimmer, Florian

• [MultiTab] Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data

Hirose, Haruka

• [MISO] Leveraging Cell-level Spatial Transcriptomics as Weak Supervision for Nuclei Classification

Hirsch, Dominik

• [ELAMI] Evaluating Medical Report Generation on Real Clinical Data: A Case Study

Hirsch, Lukas

• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Hirsch, Sven

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Hirschhorn, Ariel

• [ODIN] Anatomy-Constrained Duplication Loss for Tooth Detection in Panoramic Radiographs

Hirzallah, Mohammad

• [MIRASOL] Soft Temporal Scoring Using a Foundation Model: Optimal Frame Selection for Improved ONSD Measurement in Ultrasound Videos

Hittmair, Anton

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Hjelmervik, Karl Thomas

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Ho, Dean

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Hoang, Trung-Dung

• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification

Hobson, Kezia

• [COMPAYL] Morphospatial Phenotyping of p21-Positive Hepatocytes in Chronic Liver Disease

Hoch, Armando

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Hochuli, Andre Gustavo

• [BraTS-GoAT] Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

Hoermann, Maximilian

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Hoesl, Michaela

• [SASHIMI] Relative Loss Balancing for High-Fidelity Synthetic CT Generation in the Abdomen

Hoffmann, Malte

• [SASHIMI] DisMorph: learning to disentangle technical distortions from true biological change

Hogan, MaCalus

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Hollet, Nathan

• [MedAGI] A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma
• [EMA] Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation

Holt, Logan R.

• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Holtz, Michael

• [DT4H] Modeling Progression of Microwave Ablation Volumes by Neural Surrogates

Homscheid, Sara

• [ShapeMI] DINE: Distance Is Not Enough Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration

Honarbakhsh, Shohreh

• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Honarmandi Shandiz, Amin

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation

Hong, Fan

• [SAFER] MeVisQA: Medical Visual Question Answering via Visual Programming

Hong, Julian C.

• [UNSURE2026] Subgroup-Dependent Report-Label Noise Distorts Fairness Audits of Chest X-ray Classifiers: A Prediction-Powered Correction

Hong, Lihang

• [SWITCH] VesselBridge3D: A Foundation Model Adaptation Framework for Label-Efficient 3D Vessel Segmentation

Hong, Seokmin

• [TREAT-MMTB] CaviFusionNet-T1: A Multi-Branch Ensemble for Pulmonary Cavity Detection and Segmentation in the TREAT-MMTB 2026 Challenge

Hong, Sung man

• [ELAMI] PathLLaVA: Continuous Vision-Language Alignment for Bladder Cancer Pathology Report Generation
• [DT4H] A Digital Twin Framework for ICU Delirium Using SAITS-Based Patient State Embeddings

Hong, Sungman

• [MedAgent] Attack Your Own Findings: A Falsification Agent Framework for Biomedical Discovery, Benchmarked on Four Errors We Actually Made

Hong, Xiaoming

• [SASHIMI] nnDiffusion: A Standardized 3D Diffusion Framework for Medical Image Synthesis

Hong, Yerin

• [EMERGE] GPT-DBR: Decoding-Based Language-Model Regression for CT-Derived Lung-Function Estimation

Hong, Ziliang

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Honnorat, Nicolas

• [MLCN-2026] Implicit Neural Representations for Modeling the Accumulation of Tau Protein in the Brain

Hontani, Hidekata

• [RIME] Adaptive Prior-Guided Cold Diffusion for Accelerated MRI Reconstruction
• [COMPAYL] Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space

Hoogewoud, Florence

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Hoppe, Hanno

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Horning, Matthew P.

• [MIRASOL] Beyond validation loss: Clinically-tailored metrics for hyperparameter optimization improve a model’s clinical performance

Horst, Kelly K.

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Hortobagyi, Tibor

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Hoskin, Peter

• [MIART] Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

Hossain Swarnali, Farhana

• [ShapeMI] Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification

Hossain, M. Shifat

• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Hossain, Mirza Nasir

• [MI4MedFM] AUC Is Not Enough: Compression Can Preserve Classifier Performance While Altering Interpretable Structure in Pathology Embeddings
• [EMA] Nine Dimensions Are Enough for Patch-Level Classification with Histopathology Foundation Model Embeddings

Hossain, Moinul

• [AMAI] Explainable and Uncertainty-Aware Chest X-ray Classification with Selective Referral

Hossain, Nasif

• [MVAA] When Does Unlabelled Data Help? A Shift-Aware Semi-supervised Study of Multimodal Mitral Valve Segmentation

Hossain, Raisa Bentay

• [TIA] Pulmonary Artery-to-Aorta Ratio Estimation via Landmark-Guided Orthogonal Slicing

Hossain, Tonmoy

• [ShapeMI] Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification

Hosseini, Maryam

• [MIART] Mammo-LIFE: Longitudinal Mammographic Imaging and Clinical Feature Enrichment for Post-Radiotherapy Outcome Prediction

Hosseini, Parsa

• [MLMI] LEEWAY: Same Anatomy, Same Score, Different Verdict Using Paired Falsification Tests in Dental CBCT

Hosseini, Seyed Hesamoddin

• [EchoRisk] EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

Hosseinimanesh, Golriz

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform

Hossen, MD Fayaz Bin

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Hota, Mishka

• [UNSURE2026] When Does Prompt-Perturbation Uncertainty Catch Interactive-Segmentation Failures? An Empirical Study on SAM/MedSAM

Hottinger, Andreas F.

• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Hou, Benjamin

• [ODIN] Automatic Cephalometric Landmark Localization on CBCT-Derived Digitally Reconstructed Radiographs for Skeletal Malocclusion Classification

Hou, Bojian

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Hou, Jiaxin

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Hou, Jiongpei

• [FoundUS] High-Resolution DINOv3-DSNT Landmark Regression for Multi-Organ Ultrasound Biometry

Hou, Rui

• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Hou, Wenlong

• [MVAA] Mitral Valve Anatomy Segmentation for Multimodal Data

Hou, Xiangchen

• [BraTS-PEDs] Adapting PTransBTS for Pediatric Brain Tumor Segmentation in BraTS-PEDs 2026

Hou, Yiwen

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Hou, Zhiwei

• [BraTS-Path] Pathology Foundation Models Under Class Starvation and Distribution Shift: NeuroForge at the BraTS 2026 Pathology Challenge

Hou, Zhuo

• [PedAItrics] Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation

Hounton, Johannes

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Houri, Leen

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Houshmand, Sina

• [MLMI] Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation

Hovozounkou, Rodrigue

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Howlader, Arpita

• [MIRASOL] A Sensitivity-Gated Cascade for Compute-Efficient Spinal Lesion Detection in Resource-Constrained Settings

Hoyer, Gabrielle

• [RHEUM-AI] Interpretable Counterfactual Simulation of Knee Osteoarthritis Progression from qMRI Biomarkers

Hsu, Huan-Yu

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Hu, Chenchuhui

• [STACOM] Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Data
• [STACOM] Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

Hu, Christian Anchele

• [HECKTOR] Deep Learning-Based Segmentation and Feature-Based Clinical Prediction for Head and Neck Cancer

Hu, Dan

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Hu, Han

• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Hu, Hao

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Hu, Jinyu

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Hu, Kun

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Hu, Liwei

• [STACOM] Learning from Acquisition: Metadata-driven Multimodal Pre-training for Cardiac MRI

Hu, Long

• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Hu, Mingcheng

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Hu, Minli

• [BraTS-PEDs] Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Hu, Shu

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT
• [CARE] Improving Cross-Site Whole-Heart Segmentation

Hu, Wei

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Hu, Xiaotian

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

Hu, Yang

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation
• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment
• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Hu, Yipeng

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment
• [UNSURE2026] Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR
• [FoundUS] A Unified Semi-Supervised Framework for Multi-Task Ultrasound Biometry Landmark Detection
• [EMA] Active few-shot segmentation by reinforcing data selection
• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation
• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading
• [ASMUS] Medical Image Registration Metrics Examined for TRUS-Guided Prostate Interventions

Hu, Yudong

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Hua, Zijun

• [CARE] Pseudo-Label-Enhanced Liver Segmentation and Mask-Guided Patch Learning for Fibrosis Staging Classification

Huai, Zheang

• [MedAgent] Which Tool Response Should I Trust? Towards Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Reinforcement Learning

Huang, Baoru

• [DEMI2026] Structure-Aware Diffusion for Synthetic Fluoroscopic Video Generation
• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition
• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Huang, Chien-Ying

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Huang, Eng-Yen

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Huang, Guantian

• [CARE] ABMP-Net: Abnormality-Aware Bidirectional Motion-Physics Network for Cine CMR-Based Myocardial Scar Segmentation

Huang, Haojie

• [CARE] Wall-Band Anatomical Prior-Guided 3D nnU-Net for Left Atrial Scar Segmentation in LGE-MRI

Huang, Haomiao

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Huang, Hsu-ching

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Huang, Jiaju

• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction

Huang, Jiaming

• [DGM4MICCAI] Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff

Huang, Jie

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment
• [ODIN-challenges] Coordinate-Aware Point Cloud Registration for Crown-to-Root Alignment in CBCT and Intraoral Scans
• [ODIN-challenges] CPMT: Cross-Plane Masked Prototype-Gated Mean Teacher for CBCT-to-Clinical Record Prediction

Huang, Junlin

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Huang, Kuan-Ching

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Huang, Minghao

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Huang, Pei-Qiu

• [FoundUS] Task-Conditioned Parameter-Efficient Adaptation for Robust Ultrasound Landmark Localization and Biometric Measurement

Huang, Peiyu

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

Huang, Peng

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Huang, Raymond Y.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Huang, Ruiyang

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Huang, Shiqi

• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Huang, Sihan

• [FoundUS] LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry

Huang, Tao

• [Deep-Brea3th] DAMST: Domain-Adaptive Medical Slice Transformer for Multi-Center Breast MRI Classification

Huang, Tzu-Ting

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Huang, Weiliang

• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

Huang, Wenqi

• [Off-Grid] Implicit representations are dead. Long live explicit primitives!
• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Huang, Wenyuan

• [CMMCA] Pulmonary Vascular Fractal Dimension on Non-Contrast Planning CT as a Potential Imaging Biomarker for Early Radiation-Induced Lung Injury: A Multi-Scale Structural Analysis

Huang, Xin

• [MVAA] BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Huang, Xingyu

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Huang, Xinping

• [BraTS-Path] Pathology Foundation Models Under Class Starvation and Distribution Shift: NeuroForge at the BraTS 2026 Pathology Challenge

Huang, Yanjie

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Huang, Yebin

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Huang, Yijin

• [MIRASOL] WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification

Huang, Yiming

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery
• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
• [EMA] Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

Huang, Yixing

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Huang, Yuhao

• [MLMI] Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction
• [FoundUS] LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry
• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Huang, Yuliang

• [MLMI] Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient

Huang, Yushuo

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification

Huang, Zhi

• [COMPAYL] ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Huang, Ziyang

• [FoundUS] USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement

Huang, Ziyi

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Huber, Adrian

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Huber, Niko Benjamin

• [ODIN] Teeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework

Huet, Benoit

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Hughes, Alexa J.

• [ShapeMI] PanVasc: A Shape-Aware Framework for Peripancreatic Vascular Invasion Assessment in Pancreatic Ductal Adenocarcinoma

Hughes, Alun D.

• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Hulleman, Michiel

• [AMAI] Prediction of Atrial Fibrillation Onset from Continuous Intensive Care Unit ECG Monitoring: A Deep Learning Approach

Humbert, Olivier

• [CaPTion] Probability-Based Lesion-Aware FN/FP Loss for Whole-Body PET/CT Tumor Segmentation

Hung, Bui Van

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Hung, Kuo Feng

• [ODIN-challenges] Clinically Guided Rendering for Orthodontic Report Generation

Hung, Nguyen Quoc

• [BrainWorks] Reconstruct and Distill: A Hybrid Masked-Autoencoder and Self-Distillation Foundation Model for Clinical Brain MRI

Huo, Yuankai

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction
• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Huse, Jason

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Huseyinsinoglu, Burcu Ersoz

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Hussain, Irfan

• [COMPAYL] CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology
• [ASMUS] Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Hussain, Mohammad Arafat

• [MultiTab] Conditional Intervention Analysis: Toward Identifying Causal Features in Tabular Multimodal Data

Hussein, Burhan Rashid

• [Deep-Brea3th] Towards Reliable Classification: Building Bridge From Validation to Clinics With Improved Partial-AUC Optimization for Mammography False-Positive Detections Filtering

Hussien, Maya

• [FAIMI-BRIDGE-EPIMI] Multiple Shortcut Pathways in Mammography-Based Breast Cancer Risk Prediction

Hutchinson, Landon Li

• [MVAA] StateMV: Trust-Gated Anatomy-State Transitions for Multimodal Mitral Valve Segmentation

Hutter, Jana

• [PIPPI] STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs
• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction
• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI
• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Huy, Mai Duc Minh

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Huynh, Kiet

• [ODIN-challenges] Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion

Huynh, Nelly

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform

Huynh, Thanh Trung

• [UNSURE2026] Beyond Uncertainty: Generalizable Failure Monitoring for Surgical Segmentation under Acquisition Degradation

Hvid, Henning

• [COMPAYL] Learning to Organ-ize: Low-resolution Tissue Segmentation for Preclinical Toxicological Pathology

Hwang, Eunchan

• [TREAT-MMTB] Domain-Aware Tuberculosis Screening with a LoRA-Adapted Chest X-Ray Foundation Model
• [LISA] Physics-Aware k-Space Artifact Simulation for Quality Assessment of Ultra-Low-Field Pediatric Brain MRI

Hwang, Jae Youn

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

Hwang, Jenq-Neng

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles
• [MRIxFields2026] N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation
• [MRIxFields2026] DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation
• [ML-CDS2026] MediRely: Reliability-Aware Retrieval for Robust Multimodal Clinical Decision Support

Hwang, Youngbae

• [EndoLINA] ColScale3R: Parameter-Efficient Native-Scale Adaptation of Feed-Forward 3D Reconstruction for Colonoscopy

Hyne, Sai

• [CaPTion] PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

Häggström, Ida

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair
• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Häntze, Hartmut

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening

Höhme, Stefan

• [MLMI] Knowledge-injection for small-cohort medical image learning

Iakovidis, Dimitris K.

• [ShapeMI] Multiscale Wave-Shaping Neural Encoding with Cross-Attention Networks for 3D Organ Reconstruction and Generation

Ibañez, Borja

• [ASMUS] Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

Ibekwe, Kingsley

• [MIRASOL] Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa

Ibitoye, Ayo Zacchaeus

• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives

Ibragimov, Bulat

• [HECKTOR] Efficient Multi-Task Framework for Head and Neck Segmentation, Staging, and Prognosis
• [FoundUS] PULSE: Pseudo-labelling of Ultrasound by Local-to-Semantic Expansion for Generalisable Biometry

Ibrahim, Abdelhadi Nabih Ahmed

• [UNSURE2026] Reliability, Not Accuracy, Is the Bottleneck in AI-assisted Post-Treatment Glioma Segmentation: Region-Aware Recalibration and Risk-Controlled Triage

Ibrahim, Ummasalma Usman

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Ibrahim, Ummulkhairi

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction
• [MIRASOL] Fairness and Cross-Regional Generalizability of State-of-the-Art Glioma Segmentation Models: Evaluation Across African and Global Cohorts
• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Ibrahim, Yasin

• [UNSURE2026] Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

Idri, Ali

• [Deep-Brea3th] How Far Does Contrastive Self-Supervision Get You on Breast Ultrasound? A Label-Efficiency Study on BUSI

Iftekharuddin, Khan M.

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Igwezeke, Favour Okechukwu

• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy

Ihdayhid, Abdul Rahman

• [EchoRisk] EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

Iida, Tadashi

• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Iima, Mami

• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Ilicak, Efe

• [MRIxFields2026] Conditional Flow Matching for Cross-Field MRI Harmonisation
• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation
• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Illescas, Juan

• [MIRASOL] Deployment-Oriented Benchmarking of Optimized Deep Learning Models for Real-Time Fetal Plane Classification on Mobile Devices

Ilovitsh, Tali

• [ASMUS] UltraPIPS: Improving model perception in B-mode ultrasound with foundation models

Im, Kiho

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction
• [GRAIL] Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

Im, Yanghee

• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification

Imans, Dillan

• [EMA] Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Imran, Abdullah-Al-Zubaer

• [ADSMI2024] DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis

Imre, Baris

• [MRIxFields2026] Conditional Flow Matching for Cross-Field MRI Harmonisation
• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation
• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Ingabire, Clemence

• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Innani, Shubham

• [REG2026] Diagnostic Pathology Reporting and Reasoning via Autoregressive and Retrieval-Based Chain-Of-Thought
• [EchoRisk] One Encoder to Address All: Cardio-Oncology Assessment of Left Ventricular Ejection Fraction, Left Ventricular Dysfunction, and Early Cardiotoxicity in Echocardiography Cine Loops
• [BrainWorks] Scaling Native 3D Self-Supervised DINOv2 for Brain MRI Foundation Models
• [BraTS-Path] Rare-Class Conditional Routing with Foundation Model Representations for Glioma Histologic Sub-region Classification

Inoue, Kazuyuki

• [MVAA] A Modality-Specific Ensemble for Multimodal Mitral Valve Anatomy Analysis
• [FoundUS] A Single Unified DSNT Model with Protocol-Calibrated Readout for Generalizable Multi-Task Ultrasound Biometry

Intharah, Thanapong

• [SASHIMI] SonoSPADE: Real-Time, Per-Tissue Ultrasound Texture Synthesis for Closed-Loop Acquisition

Ioannidis, Yannis

• [FAIMI-BRIDGE-EPIMI] Rethinking Explainability for Clinical Trust: A Task-Specific Communicative Layer

Ion, Bogdan

• [SWITCH] Projection-Based Quality Assessment of Cerebrovascular Segmentations

Iorumbur, Aondona Moses

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa
• [MIRASOL] Benchmarking Explainable AI for Brain Tumour Segmentation and Classification in African MRI
• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset
• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study
• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets
• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction
• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa
• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging
• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders
• [MIRASOL] Discrimination Is Not Enough: Calibration-Aware Multimodal Classification of Benign and Malignant Lesions in Contrast-Enhanced Spectral Mammography
• [MIRASOL] Sensitivity-Optimized Tuberculosis Triage Using Nigerian Chest X-Rays
• [MIRASOL] Domain-Specific Augmentation and Uncertainty Quantification for Robust Breast Ultrasound Lesion Segmentation and Classification
• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images
• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images
• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption
• [MIRASOL] Efficient Explainable AI for Multi-Label Chest Disease Detection in Resource-Constrained Settings via Knowledge Distillation and Quantization
• [MIRASOL] Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings
• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy
• [BraTS-METS] Clinically Informed, Dataset-Adaptive Lightweight Segmentation of Brain Metastases within the nnU-Net Framework
• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives

Iribar-Zabala, Amaia

• [DT4H] Towards surgical digital twins: a soft-tissue phantom study on stiffness-ratio calibration for AR-guided interventions

Isaka, Thabang Fenge

• [AFRICAI] Harmful or Helpful? When Precision-Recall Balance Governs Safe QGFL Transfer in Malaria Detection

Isgum, Ivana

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation
• [CARE] LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation

Ishii, Masaru

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Isik, Huseyin Umut

• [TIA] ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT

Islam, Ashraful

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities
• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Islam, Iman

• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Islam, Mahdi

• [BraTS-METS] Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison

Islam, Nair Ul

• [AIMS-TBI] Shared nnU-Net Probability Maps for msTBI Lesion Detection and Segmentation

Islam, Riyadul

• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis

Islam, Syed Mohammed Shamsul

• [EchoRisk] EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

Ismaila, Lukman E.

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV
• [MIRASOL] Where Does the Discrepancy Come From? Probing Healthy vs. Tumor fMRI with Convolutional and Statistical Lenses
• [MIRASOL] Does Smear Preparation Type Constitute a Domain Boundary? Within-Domain Baselines and a Transfer Protocol for Malaria Microscopy

Isogawa, Mariko

• [RHEUM-AI] RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Issah, Ahmed Tahiru

• [MIRASOL] CoSWA-YOLOv12: Scale-Invariant Tiny Object Detection and Segmentation of Malaria Parasites
• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images
• [AMAI] On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation
• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Ittichaiwong, Piyalitt

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Ivanova, Aleksandra

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Ivanovska, Tatyana

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Ivory, Marina

• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Iyer, Hardik

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Işıklan, Fuat

• [UNSURE2026] Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Išgum, Ivana

• [PedAItrics] Cross-cohort Transfer for Label-efficient Neonatal HIE Lesion Segmentation with Weak Supervision and Pseudo-normative Spatial Priors
• [MLMI] Are robust loss functions still relevant for medical image segmentation with noisy labels?

J, Geofray Paul

• [AIMS-TBI] Diagnosing the Recall Tail: A Class-Imbalance Study of nnU-Net for Detection and Segmentation of Heterogeneous Moderate–Severe TBI Lesions

Jabbar, Samiya

• [LISA] Deep Learning Models for Automated Quality Assessment and Artifact Reduction in Ultra-Low-Field Pediatric Brain MRI

Jacob, Athira J.

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation
• [STACOM] MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI
• [MedAGI] CMRVision: A Foundation Model for Cardiac MR Image Analysis

Jacob, Joseph

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Jacobs, Luuk

• [CMRxRecon2026] FlowMRI-Net++: A Unified Sampling-Aware 4D Flow MRI Reconstruction Network with Zero-Shot Adaptation

Jacobs, Nicholas A.

• [STACOM] Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2 and T1ρ MRI

Jadoon, Khurram

• [Deep-Brea3th] Structured Report Generation from Digital Mammograms via Instruction-Tuned LoRA Adaptation

Jafrasteh, Bahram

• [LISA] A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging

Jager, Ronja

• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Jahan, Tasnim

• [MLMI] HyProDINO: A Hybrid Prototype Guided DINO Framework for Cross-Domain Few-Shot Medical Image Segmentation

Jahanshad, Neda

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Jain, Sanskriti

• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Jain, Shipra

• [ODIN] Teeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework

Jain, Vishal

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Jaiswal, Nikhil

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Jakab, Andras

• [Off-Grid] Implicit representations are dead. Long live explicit primitives!

Jakhetiya, Vinit

• [HECKTOR] Geometry Meets Metabolism: Interpretable Segmentation, Staging, and Prognosis in Head and Neck PET/CT

Jamaludin, Amir

• [ShapeMI] Predicting the Progression of Adolescent Idiopathic Scoliosis
• [EMA] Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

Jameson, Alexander

• [AMAI] A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Jamil-Copley, Shahnaz

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Jamir, Obed

• [DeCaF] Federated Chest X-ray Diagnosis under Label Heterogeneity via Disease-Aligned Prototype
• [DGM4MICCAI] FedDSR: Codebook-Based Distribution Alignment for Heterogeneous Federated CT Super-Resolution

Jamzad, Amoon

• [iMIMIC] P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing
• [COMPAYL] DreaMS-Align: Zero-Shot Spectrum-Embedding Surrogates for Scalable WSI-MSI Co-registration

Janes, Sam M.

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Jang, Jiwoo

• [MAMA-SYNTH] Where and How Much: Enhancement-Decomposed Flow Matching for Virtual Contrast-Enhanced Breast MRI

Jang, Sungyong

• [REG2026] Diagnosis-Grounded Structured Decoding for Pathologist Reasoning-Trajectory and Report Generation

Jang, Yong Eun

• [TREAT-MMTB] GO-CavNet: Ordinal-Supervised, Detection-Gated Cavity Segmentation for Tuberculosis Chest Radiographs
• [TREAT-MMTB] Class-Weighted Metadata-Aware Ark+ Fusion for Multimodal Tuberculosis Classification

Jangir, Vineet

• [BraTS-METS] Seeing Lesions, Not Voxels: A Connected-Component-Weighted Dual-Map Focal Loss and Per-Group Oversampling for Brain Metastases Segmentation and Detection

Jani, Harman

• [BraTS-GoAT] A Self-Configuring Model versus Fused Ensembles for Brain Tumor Segmentation on the BraTS-GoAT Benchmark

Jannin, Pierre

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI
• [FAIMI-BRIDGE-EPIMI] Futures Before Failures: Design Fictions for Anticipatory Fairness in Surgical AI
• [FAIMI-BRIDGE-EPIMI] Hallucinations and constraints : Regulating surgical workflow recognition beyond accuracy
• [CAPI-WOMEN] Comparing Problem Formulations for Endometriosis Lesion Detection on T2-weighted Pelvic MRI

Jansen, Bart

• [EMERGE] Feature Extraction Strategies for Clinically Significant Prostate Cancer Detection on Biparametric MRI: A Systematic Ablation of the Local-Global MIL Framework
• [Deep-Brea3th] Fusion of Topological Data Analysis and Radiomics for High-Resolution 3D Breast Microcalcification Classification

Janssen, Tomas M.

• [MIART] Which Edits Matter? Simulating Realistic Local Corrections to Organ-of-Interest DL Segmentation and Predicting Dosimetric Impact
• [MIART] Recognizing Dosimetrically Irrelevant Edits of Auto-Segmentations in Head and Neck Organs of Interest

Janssens, Geert O.

• [PedAItrics] Sequence-Agnostic MRI Segmentation of Pediatric Renal Tumors for Postoperative Flank Irradiation

Janíčková, Ivana

• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Jaouen, Vincent

• [MIART] Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis
• [AMPLIFAI] Ordinal-aware Multi-Phase Classification with Manifold Mixup for LI-RADS Assessment in CT

Jaspers, Tim J. M.

• [DEMI2026] Quality-Controlled Keyframe Sampling using Endoscopic Foundation Models

Jaulin, Fanny

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Jaume, Sylvain

• [BraTS-METS] Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

Javadian, Fatemeh

• [COMPAYL] Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

Jawaid, Moazzam

• [STACOM] Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement

Jaworek-Korjakowska, Joanna

• [MIRASOL] Dataset-Free Dermoscopic Hair Removal

Jeanette Savic, Lynn

• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Jeanson, Francis

• [DeCaF] NeuroFL: A Production Federated Learning Platform for Privacy-Preserving Brain-Health Research

Jebbink, Erik G.

• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Jegiraj, Anne Christina Melissa

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Jeleń, Łukasz

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Jen, Melinda

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Jennane, Rachid

• [MWM] Adversarial-Contrastive Domain Generalization for Cross-Site Autism Spectrum Disorder Classification from Resting-State fMRI
• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification

Jenssen, Robert

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes
• [MVAA] Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation

Jeon, Byunghwan

• [HAIC26] Toward Agentic Echocardiography: Reinforcement Learning with Foundation-Model Similarity Rewards in a CT-Derived Simulation

Jeon, Mingyeong

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Jeong, Hyunseok

• [HAIC26] Toward Agentic Echocardiography: Reinforcement Learning with Foundation-Model Similarity Rewards in a CT-Derived Simulation

Jeong, Ji-Hoon

• [REG2026] Schema-Guided Tree-Structured Reasoning for Whole-Slide Pathology Workflows

Jeong, Juhyeon

• [TREAT-MMTB] Global-to-Local Segmentation and Context-Aware Detection of Tuberculosis Cavity in Chest X-rays

Jeong, Stacy

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Jeong, Sumin

• [ISLES] Residual-Encoder nnU-Net with Small-Component Filtering for Multi-Site Stroke Lesion Segmentation in T1-weighted MRI

Jeong, Taejin

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Jeong, Tiffany

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Jeyalingam, Vennilah

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Jha, Debesh

• [HECKTOR] From Tumor Segmentation to Clinical Prediction: A PET/CT Pipeline for Head and Neck Cancer
• [DeCaF] Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts
• [DEMI2026] Training-Free Histopathology Classification via Confidence-Filtered DINOv2 Retrieval

Jha, Prabhash Kumar

• [HECKTOR] From Tumor Segmentation to Clinical Prediction: A PET/CT Pipeline for Head and Neck Cancer
• [DEMI2026] Training-Free Histopathology Classification via Confidence-Filtered DINOv2 Retrieval

Jha, Rishabh

• [SAFER] CADRE: Stable, Parameter-Efficient Adaptation of Medical Vision-Language Models with Bounded Forgetting and Prior Drift

Ji, Changkai

• [ODIN-challenges] Segmentation-Guided 3D Dental ROI Transformer for Structured Clinical Report Generation from CBCT

Ji, Yude

• [ODIN-challenges] Geometry-Guided Identity Correction for Semi-Supervised CBCT Tooth and Root-Canal Segmentation

Ji, Zheyi

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Jia, Dengqiang

• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Jia, Fucang

• [SWITCH] PROFIT: Prototype-Guided Few-shot Inference and Transfer for Multimodal Stroke Diagnosis
• [MLCN-2026] EEG-LoGNet: Bridging Local Features and Global Contexts for EEG-Based Motor Imagery Classification
• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Jia, Ruizhe

• [EchoRisk] Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment

Jia, Xing

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Jian, Bailiang

• [TIA] PE-QUEST: QUality ESTimation-driven Sample Selection for Pulmonary Embolism Segmentation

Jian, Jia-Xian

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles
• [ML-CDS2026] MediRely: Reliability-Aware Retrieval for Robust Multimodal Clinical Decision Support
• [FAIMI-BRIDGE-EPIMI] Equal Accuracy, Unequal Agreement: Auditing Clinician–AI Agreement Fairness in Lung Nodule CT

Jiang, Chunbo

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

Jiang, Haoyu

• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale

Jiang, Hong

• [MAMA-SYNTH] Tumor-Aware Conditional Pix2PixHD with Per-Image Normalization for Virtual Contrast Enhancement in Breast MRI

Jiang, Juntao

• [EMERGE] GF-BrainSR: Gated Frequency-Aware Selective State Space Model-Based Brain MRI Image Super-resolution

Jiang, Mingfeng

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Jiang, River

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation

Jiang, Xin

• [CMMCA] Pulmonary Vascular Fractal Dimension on Non-Contrast Planning CT as a Potential Imaging Biomarker for Early Radiation-Induced Lung Injury: A Multi-Scale Structural Analysis

Jiang, Yixuan

• [CMMCA] OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication

Jiang, Yong

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Jiang, Yun

• [CARE] ROI-Guided Dual-Channel Data Construction and Ensemble Learning for Left Atrium Segmentation in the CARE 2026 Challenge

Jiang, Yuxian

• [ODIN-challenges] Segmentation-Guided 3D Dental ROI Transformer for Structured Clinical Report Generation from CBCT

Jiang, Zhifan

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Jiang, Zhou

• [CARE] Stable Morphology, Unstable Deep Classifiers: Morphology-Guided Ranking in Unlabeled Liver MRI Cohorts

Jimenez, Gabriela Gomez

• [cdmri] DiffBench: A Benchmark Toward Reproducible Evaluation in Diffusion MRI Prediction

Jimenez-del-Toro, Oscar

• [FAIMI-BRIDGE-EPIMI] Loss-Conditioned Utility-Fairness Boundary Modeling for Medical Imaging

Jimoh, Nafisa Opemi

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Jiménez Ordoñez, Aïda

• [iMIMIC] Anatomical Information or Domain Shortcuts? Probing Image- and Shape-Based Embeddings in Ear CT with Landmark-Derived Features

Jiménez, Oscar

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Jiménez-Sánchez, Amelia

• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Jin, Ben

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Jin, Benjamin

• [SWITCH] Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Jin, Haibo

• [CREATE] RadQC-Bench: Benchmarking Vision-Language Models for Quality Control in Radiology Reporting

Jin, Weina

• [HAIC26] Accounting for Over-Reliance in AI-Assisted Performance Studies

Jin, Ze

• [EMA] MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings

Jin, Zhe

• [FoundUS] MABA: Measurement-Aware Biometry Adaptation for Landmark-Based Ultrasound

Jin, Zirong

• [CREATE] FRAME: Full-body Recovery via Adaptive Margin Extension for Occlusion-Robust 3D Human Pose and Shape Estimation

Jing, Chenyan

• [MedAGI] Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos

Jo, Nathan

• [HEADLINE] Finding-Aware Contrastive Re-Alignment for Head CT Report Generation

Jo, WoongJae

• [EMERGE] GPT-DBR: Decoding-Based Language-Model Regression for CT-Derived Lung-Function Estimation

Jochum, Michael D.

• [FoundUS] A Unified Multi-Task Model for Ultrasound Biometry Landmark Detection under Extreme Label Scarcity

Jodoin, Pierre-Marc

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Joham, Simon Johannes

• [UNSURE2026] Foundation Model and Radiomics Distance Scores for Post-Hoc Segmentation Failure Detection
• [BraTS-Inpainting] Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors

Johannaber, Nils

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Johansson, Mikael

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

John, John P.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

John, Joseph

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Johnson, Ethan

• [CMRxRecon2026] Complex-Valued and State-Augmented Variational Networks for Accelerated 4D Flow MRI Reconstruction

Johnson, Jack A.

• [CaPTion] When Two Tracers Disagree: An Investigation of Multimodal Fusion for Clinical PET/CT Segmentation

Johnsson, Åse

• [TIA] CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction
• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Johnston, Andrew

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Jonathan, Wisdom

• [MIRASOL] Sensitivity-Optimized Tuberculosis Triage Using Nigerian Chest X-Rays
• [MIRASOL] Trustworthy TB Screening: Backdoor Vulnerability and Lightweight Defense in Chest X-Ray AI

Jones, Clifford

• [DEMI2026] CheXQuery: Anatomy and Condition Guided Radiology Report Generation under Limited Data

Jong, Martijn R.

• [DEMI2026] Quality-Controlled Keyframe Sampling using Endoscopic Foundation Models

Joodi Bigdilo, Shojaat

• [ODIN] Registration of 2D intraoral radiographs to 3D CBCT using modality-specific encoding

Joshi, Raghav

• [EMERGE] KneeDINO: Cross-Plane Attention Fusion for Multi-Label Knee Pathology Detection with Grounded LLM Explainability

Joshi, Sarang

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping

Joskowicz, Leo

• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Jost, Edgar

• [COMPAYL] HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology

Jouvet, Philippe

• [MedAgent] AgentFL-Bench: Benchmarking Small Language Models for Fairness Governance in Federated Clinical AI

Ju, Junkyung

• [DT4H] Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation

Ju, Weizhu

• [DT4H] Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging

Ju, Yakun

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment

Juchler, Norman

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Judge, Thierry

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Jugnon, Vincent

• [EMA] Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

Juhasz, Adam

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Jun, Hyungmin

• [DT4H] PedDiffusion: Multi-scale wavelet packet conditional diffusion for pediatric 12-lead ECG reconstruction from a single lead

Jung, Ji-Hoon

• [SASHIMI] Any-to-One CT Kernel Conversion without Source-Kernel Data
• [CMRxRecon2026] Separating Aliasing from Flow: Temporal-Frequency Regularization for Unrolled 4D flow MRI Reconstruction

Jung, Junah

• [MedAgent] When to Request and Whether to Trust: A Two-Decision Imaging Agent for Pleural Effusion Assessment

Jung, Kangsoo

• [MLCN-2026] TIIC: Tabular Integration of Imaging and Clinical Data for Interpretable Multimodal Inference for Alzheimer’s Disease

Jung, Lois

• [ODIN] PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Jung, Seung-Won

• [REG2026] Diagnosis-Grounded Structured Decoding for Pathologist Reasoning-Trajectory and Report Generation

Jung, Yeonjae

• [DT4H] Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

Jung, Yoonsung

• [MedAgent] LongCXR-Agent: Query-Driven Tool Selection for Longitudinal Chest X-ray Reasoning

Jung, Young-Jin

• [BraTS-PEDs] YOLO-UNet: A Hybrid YOLO-Encoder / U-Net-Decoder Network with a Full-Resolution Residual Boundary Branch for Pediatric Brain Tumor Segmentation

Juni, Linus

• [FAIMI-BRIDGE-EPIMI] False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation

Jurgensen, Benjamin Laine Jønch

• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Jurman, Giuseppe

• [ISLES] Deconver for Stroke Lesion Segmentation
• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Jutidamrongphan, Warissara

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Jutzeler, Catherine R.

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction
• [EMA] Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

Juárez-Castro, Flavio A.

• [FoundUS] Multi-Task Landmark Detection for Fetal and Cardiac Ultrasound Biometry under Label Scarcity

Jönsson, Daniel

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

K. S., Shriram

• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Kabindama, Mbunji

• [MIRASOL] Does Smear Preparation Type Constitute a Domain Boundary? Within-Domain Baselines and a Transfer Protocol for Malaria Microscopy

Kabus, Fabian

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Kachole, Sanket

• [REG2026] SlotPath: Structured Slot Prediction and Retrieval for Reasoning-Guided Pathology Reporting
• [ODIN-challenges] OrthoScribe: Training-Free Multimodal Orthodontic Report Generation via Photographic Retrieval and 3D Geometry Correction
• [MedReason] GrADe: Grouped Adapter Decoding for Medical Visual Question-Answering under Domain Shift
• [MVAA] A Multimodal Segmentation Pipeline for Mitral Valve Anatomy Analysis in Cardiac CT, 3D Transesophageal Echocardiography, and Surgical Video
• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [HECKTOR] GASP: Multimodal Geometry-Aware Segmentation, Staging, and Prognostication of Head and Neck Cancer
• [HEADLINE] FiReGen: Findings-Aware Retrieval and Reinforcement-Tuned Generation of Free-Text Head CT Radiology Reports

Kadota, Brenden

• [RIME] Self-Supervised Multi-Contrast MRI Reconstruction via Permutation-Driven Contrast Invariance
• [CMRxRecon2026] SDUM-Flow: Data Synthesis and Augmentation for Robust Unrolled 4D flow MRI Reconstruction

Kadoury, Samuel

• [MLMI] DeJEPA: Non-Contrastive Self-Supervised Learning for Voxel-Level Representations

Kaestner, Lars

• [HemaRAI] A Novel Semi-Supervised Approach for Red Blood Cell Shape Analysis in Flow

Kafali, Sevgi Gokce

• [STACOM] No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

Kafieh, Raheleh

• [OMIA] ReGraFT: Broad Multi Label Retinal Disease Classification on MuRFiD

Kafley, Saugat

• [HECKTOR] From Tumor Segmentation to Clinical Prediction: A PET/CT Pipeline for Head and Neck Cancer
• [DEMI2026] Training-Free Histopathology Classification via Confidence-Filtered DINOv2 Retrieval

Kagozi, Alex

• [BraTS-METS] Resection-Cavity-Aware Segmentation of Brain Metastases for BraTS 2026

Kahl, Fredrik

• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair
• [DGM4MICCAI] Weakly Supervised Lung Nodule Segmentation via Plug-and-Play Guidance of 3D Rectified Flow

Kahrs, Bennet

• [Off-Grid] Mirror and Map: Symmetric Latent Deformation Priors for Deformable Image Registration using Implicit Neural Representations

Kahya, Sabri Mustafa

• [COMPAYL] MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention

Kainz, Bernhard

• [UNSURE2026] A Principled Approach to Unsupervised Anomaly Detection
• [UNSURE2026] Uncertainty Estimation in Deep Learning MRI Reconstruction with Focus on Pathologies
• [SASHIMI] Few-Shot Flow Matching with Stochastic Barycentric Sampling for Image Synthesis
• [MultiTab] MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer’s Prediction
• [MedAgent] Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts
• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology
• [ASMUS] Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits
• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Kaisari, Eirini

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Kaiser, Johannes

• [MLMI] Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging

Kaissis, Georgios

• [MLMI] Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging

Kalaiwo, Chinasa

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa
• [MIRASOL] Fairness and Cross-Regional Generalizability of State-of-the-Art Glioma Segmentation Models: Evaluation Across African and Global Cohorts

Kalimullin, Ruslan

• [CMRSeg] An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Kalis, Mareen

• [PIPPI] Quality over quantity: data curation for automated angle of progression estimation in intrapartum ultrasound

Kalliatakis, Grigorios

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [DEMI2026] The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI

Kalozoumis, Panagiotis G.

• [ShapeMI] Multiscale Wave-Shaping Neural Encoding with Cross-Attention Networks for 3D Organ Reconstruction and Generation

Kaltnecker, Christopher

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Kaluarachchi, Tharindu

• [HemaRAI] MaLDAM: Masked Localized Domain Adaptation for Malaria Detection in Low-Cost Microscopic Images

Kama, Mary Ofuru

• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy

Kamalesh, Akash

• [ELAMI] Pixel-FLAIR: Leveraging Anatomical Segmentation for Region-Specific Supervision in Retinal Foundational Vision-Language Models

Kamani, Chetankumar

• [OMIA] A Novel Recursive Mamba Encoding for Retinal Artery-Vein Segmentation in MedTech Applications

Kamath, Amith

• [MIART] DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy

Kamel, Mina

• [MIRASOL] ExBale: Quantitative Evaluation of Explainability Alignment in Ovarian Ultrasound Imaging

Kamiński, Paweł

• [RHEUM-AI] Advantages and limitations of applying ML techniques in medical data analysis, illustrated with X-ray imaging

Kamnitsas, Konstantinos

• [UNSURE2026] Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

Kampel, Julia Rebecca

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Kampen, Peter J.T.

• [UNSURE2026] Geometric Diversity: Mixed-Curvature Heads as a Substitute for Ensemble Independence

Kampffmeyer, Michael C.

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes
• [MVAA] Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation

Kampmeijer, L. D.

• [CaPTion] Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Kamran, Sharif Amit

• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Kanagala, Anusha

• [Off-Grid] Piecewise Positional Encodings (PPE) for Medical Image Representation

Kancharla, Vamshi Krishna

• [CREATE] Surgical Foundation Model Ensembles for Predicting Annotator Disagreement in Critical View of Safety Assessments

Kang, Beodeul

• [TREAT-MMTB] Morphology-Informed Deep Ensemble Learning for Pulmonary Cavity Detection and Segmentation on Chest X-Rays

Kang, Byungjeon

• [TREAT-MMTB] CaviFusionNet-T1: A Multi-Branch Ensemble for Pulmonary Cavity Detection and Segmentation in the TREAT-MMTB 2026 Challenge

Kang, Chris

• [ISLES] Residual-Encoder nnU-Net with Small-Component Filtering for Multi-Site Stroke Lesion Segmentation in T1-weighted MRI

Kang, Hyunseo

• [REG2026] Diagnosis-Grounded Structured Decoding for Pathologist Reasoning-Trajectory and Report Generation

Kang, Jihun

• [CMRxRecon2026] Separating Aliasing from Flow: Temporal-Frequency Regularization for Unrolled 4D flow MRI Reconstruction

Kang, Jingsu

• [CARE] Beyond Cavity Constraints: A Systematic Evaluation of Spatial Priors in Cascaded Left Atrial Scar Segmentation

Kang, Junghwa

• [PIPPI] Region-Wise Interpretable Neonatal Brain Age Prediction via Pretrained Segmentation-Guided Attention
• [PIPPI] Self-Tuning Age-Conditioned Choroid Plexus Segmentation in Neonatal MRI

Kang, Melody J. Y.

• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification

Kang, Mengyang

• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Kang, Minwoo

• [TREAT-MMTB] Morphology-Informed Deep Ensemble Learning for Pulmonary Cavity Detection and Segmentation on Chest X-Rays

Kang, Myungjoo

• [OMIA] When to Denoise Longitudinal Visual Field Labels: Anchor-Preserving Supervision under Short Follow-up

Kang, Wenjie

• [MLCN-2026] Network Alterations Precede Atrophy in Alzheimer’s Disease Progression Subtypes

Kang, Xingjian

• [CAPI-WOMEN] Evaluating the Prompt-to-Automation Gap: A Comprehensive Benchmark for Laparoscopic Endometriosis Segmentation
• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Kann, Benjamin

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Kann, Michael R.

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Kannan, Pranesh Rajesh

• [BraTS-METS] A Region-Based Residual-Encoder nnU-Net Ensemble with a Matched-Normalization Subtraction Channel and Resection-Cavity False-Positive Suppression for Brain Metastasis Segmentation

Kao, Yun-Ching

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Kaplun, Dmitrii

• [EMA] SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images

Kapoor, Shreya

• [ShapeMI] Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Kappanayil, Mahesh

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Kapsner, Lorenz A.

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Kapur, Tina

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study
• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Karajeanes, Daua

• [ShapeMI] Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

Karakas, Cemal

• [AMAI] Adaptive Riemannian Geometry for Seizure Onset Zone Localization in Intracranial Electroencephalography

Karakioulaki, Meropi

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Karam, Lynn

• [EMA] Active few-shot segmentation by reinforcing data selection

Karampinos, Dimitrios

• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Karanam, Samvath

• [MI4MedFM] Interpretable Missense Variant Effect Prediction via Sparse Feature Changes in ESM-2

Karbole, Wenke

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Karia, Konark

• [ISLES] Bottleneck-Mamba 3D U-Net Baseline for Lesion Segmentation in ISLES’26 Ischemic Stroke: Limited by Precision in Segmenting Small and Multifocal Lesions
• [ISLES] Investigating Small-Lesion Segmentation Failures in Acute Ischemic Stroke: An nnU-Net Baseline Analysis for ISLES'26

Karimaghaloo, Zahra

• [BraTS-Inpainting] Glioma Inpainting in Brain MRI via 3D Region Aware Diffusion

Karimijafarbigloo, Sanaz

• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation

Kasabov, Nikola

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Kasai, Satoshi

• [REG2026] PRG-RGen: Pathologist Reasoning-Guided Report Generation on WSIs via Multimodal LLMs
• [MedReason] CLINIC-VQA: Reasoning-Aware MLLM with Explicit Clinical Reasoning Traces for Medical Visual Question Answering
• [HEADLINE] E-Head: Efficient Head CT Report Generation via Multi-Resolution Series Integration and Two-Stage Parameter-Efficient Fine-Tuning

Kascenas, Antanas

• [ASMUS] TargetIQA: Anatomy-Aware Ultrasound Image Quality Assessment

Kashyap, Subhash

• [UNSURE2026] Beyond Dice: A Reliability-Oriented Evaluation of Geometric Test-Time Augmentation in Medical Image Segmentation

Kasivisvanathan, Veeru

• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Kasprian, Gregor

• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Kassaw, Ewunate Assaye

• [CARE] Iterative Human-in-the-Loop Learning for Accurate Segmentation of Liver
• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using Ensemble Model

Kassem, Aya

• [Deep-Brea3th] Mammo2Tomo: Adapting Mammo-CLIP to learn text-aligned DBT volume representations

Kataria, Tushar

• [ShapeMI] On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling
• [MLMI] Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods

Kather, Jakob Nikolas

• [EMA] Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

Kato, Shun

• [RHEUM-AI] RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Katsigiannis, Vasileios E.

• [FoundUS] Self-Supervised Domain Adaptation with DINOv2-HRNet for Multi-Task Ultrasound Landmark Detection

Kauczor, Hans-Ulrich

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Kaufmann, Scott

• [COMPAYL] A Benchmark of Foundation Models for Chemotherapy Response Scoring in High-Grade Serous Ovarian Cancer

Kawada, Yuka

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Kawesha, Mwansa

• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Kaya, Kenan

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Kayuna, Matthew

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Kchaou, Mahdi

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Ke, Chao

• [BraTS-PEDs] Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Kechichian, Razmig

• [ODIN-challenges] Registration Teaches Registration: Transform-Derived Crown Guidance for Semi-Supervised CBCT–IOS Alignment

Kehara, Thulani

• [BraTS-PEDs] Sub-Region-Specific Deep Learning Model for Pediatric Brain Tumor Segmentation on Multi-Parametric MRI

Keicher, Matthias

• [AMAI] Learning Diagnostic Reasoning for Decision Support in Toxicology

Kekwick, Fiona

• [MultiTab] MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer’s Prediction

Kelat, Karthika

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT

Kelati, Awatef

• [DGM4MICCAI] Synthetic Data Generation for Automated Hair Instance Segmentation in Trichoscopy

Keles, Ayse

• [OMIA] ReGraFT: Broad Multi Label Retinal Disease Classification on MuRFiD

Keles, Elif

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Keller, Marilyn

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Kellermair, Jörg

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Kelly, Brendan S.

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI
• [DT4H] From Treatment Choices to Tumour Trajectories: Proof-of-Concept in Preference-Aware Agentic Simulation for Digital Twins

Kelly, Luke

• [UNSURE2026] Not All Errors Are Equal: Threshold-Aware Loss Functions for Opportunistic Osteoporosis Screening

Kemper, Tara

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Kendrick, Connah

• [ISIC] Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Kepenekian, Vahan

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Kepp, Timo

• [Off-Grid] Mirror and Map: Symmetric Latent Deformation Priors for Deformable Image Registration using Implicit Neural Representations

Kerachni, Anne

• [PIPPI] Longitudinal registration of human fetal brain MRI

Keren, Julia

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform

Kerkouri, Mohamed Amine

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Kerr, Steven

• [OMIA] Compress to Scale: Semantic Token Reduction for High-Resolution Retinal Image Analysis

Kers, Jesper

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Kersten, Marta

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Kersten-Oertel, Marta

• [MLCN-2026] MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation
• [MIRASOL] A Low-Cost AI Stethoscope for Resource-Constrained Heart Murmur Screening
• [FAIMI-BRIDGE-EPIMI] Futures Before Failures: Design Fictions for Anticipatory Fairness in Surgical AI

Kertes, Noga

• [GRAIL] GraphSVR: q-Space–Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI

Kervadec, Hoel

• [AMAI] Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Kesavan, Varsha

• [MRIxFields2026] Any-to-Any Brain MRI Field Translation using a Unified Multi-Modality, Multi-Field Conditional Diffusion Model

Kessler, Dimitri

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI

Kestur, Ramesh

• [BrainWorks] DeepNucleiNet: Encoding Spatial Nuclear Patterns for Data-Efficient Necrosis Detection in Computational Neuropathology

Keswani, Rajesh N.

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Kethavath, Shivlal

• [BraTS-Inpainting] Enhanced 3D U-Net for BraTS Local Synthesis: Attention, Deep Supervision, and Edge-Aware Inpainting

Keum, Chae Won

• [CMRxRecon2026] Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

Keuth, Ron

• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Khademi, April

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models
• [COMPAYL] AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer
• [BrainWorks] RBT-Faz: Register-Bottleneck 3D Swin-UNETR with Clinical Text Alignment for Ordinal Fazekas Grading from FLAIR MRI

Khaled, Alaa

• [MIRASOL] Segmentation-Guided Inpainting and Imbalance-Aware Learning for Robust Ovarian Tumor Classification in Ultrasound

Khalfallah, Ali

• [ELAMI] Clinical Reliability in Multilingual Chest X-ray Report Generation
• [Deep-Brea3th] Structure-State Conditioned FB-to-DIBH Transition Learning for Breast Cancer Radiotherapy Segmentation

Khalid, Abdul Rehman

• [REG2026] PathChain: Reproducing the Pathologist’s Diagnostic Workflow from Whole-Slide Images

Khalid, Adnan

• [Deep-Brea3th] Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer

Khalil, Aiman

• [RIME] TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

Khalil, Saad

• [EndoLINA] ColScale3R: Parameter-Efficient Native-Scale Adaptation of Feed-Forward 3D Reconstruction for Colonoscopy

Khalili, Nadieh

• [COMPAYL] When RNA is Missing: A Multimodal Fusion Benchmark for BCG Progression Prediction in HR-NMIBC

Khalvati, Farzad

• [BraTS-PEDs] LoG-Augmented nnU-Net Ensemble for Pediatric Brain Tumor Segmentation

Khan, Asad Mansoor

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Khan, Asma

• [ShapeMI] On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling

Khan, Behraj

• [SWITCH] Territory-Coupled Foundation Model Adaptation for ASPECTS Scoring on Non-Contrast CT
• [MWM] CalTwin: Calibrated Shift-Robust Medical World Models via Fisher-Information Regularization

Khan, Fahad Shahbaz

• [MIRASOL] MR-DiffRecon: Efficient All-in-One MRI Reconstruction with Multi-Scale Alignment and Implicit Prompting
• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

Khan, Haider

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Khan, Muhammad Haris

• [CaPTion] Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis

Khan, Nawazish

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Khan, Ramail

• [EMA] Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs

Khan, Salman

• [SAFER] CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs
• [MIRASOL] MR-DiffRecon: Efficient All-in-One MRI Reconstruction with Multi-Scale Alignment and Implicit Prompting
• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

Khan, Shadab

• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

Khan, Ufaq

• [CaPTion] Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis
• [CLiMeM] An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

Khan, Ziaullah

• [ODIN] Fluency Is Not Faithfulness: Diagnosing and Repairing Confabulation in LLM Report Generation on ToothFairy4 CBCT

Khanal, Bishesh

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Khanal, Saroj

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Khandelwal, Ashish

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Khandelwal, Pulkit

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [PIPPI] High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Khare, Vaishali

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Khatun, Halima

• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Khellaf, L.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Kheyrkhah, Alireza

• [MLMI] Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
• [ELAMI] Contrastive Answer Calibration for Medical Visual Question Answering

Khodabandelou, Ghazaleh

• [AMAI] Adaptive Riemannian Geometry for Seizure Onset Zone Localization in Intracranial Electroencephalography

Khodakarami, Zahra

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Khokhar, Sahib

• [MLMI] HyperPatch: Hypercolumns for Transformer Backbones in Medical Segmentation

Khoriba, Ghada

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation

Khosravi, Pegah

• [AMAI] Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

Kia, Seyed Mostafa

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Kiberu, Yusuf

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Kiboi, Sammy Wanjohi

• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Kiechle, Johannes

• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Kikuchi, Shunsuke

• [MVAA] Solution for MVAA challenge 2026: Ensemble, Tool-paste Augmentation and Tool-free View Generation

Killeen, Benjamin D.

• [DGM4MICCAI] 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models
• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Killeen, Ronan

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI

Kim, Albert

• [COMPAYL] Thumbnail-Based Tile Selection for Efficient Whole-Slide Image Classification in Resource-Limited Pathology

Kim, Andrew

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Kim, Daeseung

• [ODIN] PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Kim, Dahyun

• [AIMS-TBI] Task-Specific T1 MRI Pipelines for TBI: Knowledge-Distilled Segmentation and ICV-Cascaded Detection

Kim, Dong Yeong

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Kim, Doye

• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using an Ensemble of MRI Foundation Models

Kim, Doyeon

• [MRIxFields2026] Multi-Field MRI Synthesis with Paired–Synthetic–Paired Latent Diffusion

Kim, Hahnsung

• [CMRxRecon2026] Subspace-Guided Upstream-Downstream Deep Learning Reconstruction for Fast 4D Flow MRI

Kim, Hee-Cheol

• [REG2026] PathChain: Reproducing the Pathologist’s Diagnostic Workflow from Whole-Slide Images
• [ODIN] Fluency Is Not Faithfulness: Diagnosing and Repairing Confabulation in LLM Report Generation on ToothFairy4 CBCT

Kim, Heejong

• [cdmri] Segmentation-Conditioned Latent Diffusion for Prostate High-b-value DWI and ADC Synthesis

Kim, Hyun Gi

• [PIPPI] Region-Wise Interpretable Neonatal Brain Age Prediction via Pretrained Segmentation-Guided Attention
• [PIPPI] Self-Tuning Age-Conditioned Choroid Plexus Segmentation in Neonatal MRI
• [LISA] Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Kim, Hyunwoong

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Kim, Ian

• [LISA] Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Kim, Jeongsik

• [LISA] Atlas-Guided Local Expert Fusion for Pediatric Ultra-Low-Field Brain MRI Segmentation

Kim, Jihwan

• [REG2026] Schema-Guided Tree-Structured Reasoning for Whole-Slide Pathology Workflows

Kim, Jongmin

• [ShapeMI] Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation

Kim, Joo Whan

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Kim, Jun-Ho

• [BraTS-METS] Integrating nnDetection and nnU-Net for Brain Metastasis Segmentation in the BraTS-METS 2026 Challenge

Kim, Justin Namuk

• [SynthOCT] Phase-Pair Holographic Inversion for OCT Digital Phantom Synthesis

Kim, Kangmin

• [ShapeMI] Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation

Kim, Keun Woo

• [iMIMIC] When Saliency Over-Credits Anatomy: Token-Level Evidence Flow in Frozen Medical Vision Transformers

Kim, Kyung A.

• [REG2026] A Branch-Aware, Confidence-Gated Reasoning Framework for Whole Slide Images
• [COMPAYL] Virtual immune cell prediction from H&E Whole Slide Images

Kim, Michael E.

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Kim, Mingyu

• [iMIMIC] When Saliency Over-Credits Anatomy: Token-Level Evidence Flow in Frozen Medical Vision Transformers

Kim, Minji

• [MedAGI] A Resource-Constrained Evaluation of Lightweight Adaptation for Cross-Dataset Chest X-ray Report Generation

Kim, Minjun

• [MultiTab] Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction

Kim, Moon

• [ADSMI2024] Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods

Kim, Myeongseop

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Kim, Namkug

• [SASHIMI] Synthesizing CT-based Functional Lung Ventilation Map: A Comparative Study of Generative Models for Image-to-Image Translation
• [LISA] Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Kim, Sejoong

• [HEADLINE] Finding-Aware Contrastive Re-Alignment for Head CT Report Generation

Kim, Seong Tae

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Kim, Seun

• [MedAGI] A Resource-Constrained Evaluation of Lightweight Adaptation for Cross-Dataset Chest X-ray Report Generation

Kim, Siyoon

• [LISA] Atlas-Guided Local Expert Fusion for Pediatric Ultra-Low-Field Brain MRI Segmentation

Kim, Soo-Hyung

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Kim, Sun Hyung

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Kim, Taehwan

• [MAMA-SYNTH] Lesion-Aware Virtual Contrast-Enhancement in Breast MRI Using CycleGAN

Kim, Yeonghyeon

• [MedAgent] LongCXR-Agent: Query-Driven Tool Selection for Longitudinal Chest X-ray Reasoning

Kim, Yeonwoo

• [SASHIMI] Beyond Visual Realism: The Neuro-Fidelity Index for Validating Geometric Integrity in Synthetic Brain MRI

Kim, Yong Soo

• [HEADLINE] Finding-Aware Contrastive Re-Alignment for Head CT Report Generation

Kim, Yoo Ri

• [STACOM] Characterising cardiac tissue properties with graph neural networks

Kim, Youjin

• [DT4H] 3D Computational Modeling of the Vascular Heat-Sink Effect in Microwave Ablation of Tumors Close to the Aorta

Kim, Young-Gon

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Kim, YoungSeok

• [EMERGE] GPT-DBR: Decoding-Based Language-Model Regression for CT-Derived Lung-Function Estimation

Kim, Yun-Hyeon

• [EMERGE] GPT-DBR: Decoding-Based Language-Model Regression for CT-Derived Lung-Function Estimation

Kina, Mohamed Amine

• [MLMI] Prevalence calibration as shortcut mitigation

Kindruk, Yulia

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

King, Andrew P.

• [Off-Grid] Learning Cardiac Motion Priors for Implicit Neural Representations
• [MLMI] HyProDINO: A Hybrid Prototype Guided DINO Framework for Cross-Domain Few-Shot Medical Image Segmentation
• [FAIMI-BRIDGE-EPIMI] Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast
• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Kinney, Greg L.

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Kinney, Hannah C.

• [PIPPI] High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation

Kinz, Marvin

• [ShapeMI] DINE: Distance Is Not Enough Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration

Kiolbassa, Nora Maren

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Kirchhoff, Yannick

• [MAMA-SYNTH] Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans

Kirscher, Tristan

• [MedReason] Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA
• [BraTS-GoAT] Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

Kirschke, Jan S.

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Kitsunai, Daiki

• [RHEUM-AI] RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Kjærbøl, Erik F.

• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations

Kleesiek, Jens

• [ADSMI2024] Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods

Klein, John

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Klein, Stefan

• [UNSURE2026] Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping
• [AFRICAI] Do Medical Foundation Models Generalize on the African Brain?

Kline, Timothy L.

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation
• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes
• [AMAI] Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

Klock, Julie

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Kloiber, Milan

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Klontzas, Michail E.

• [DEMI2026] The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI

Klopfleisch, Robert

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Klöckner, Pascal

• [COMPAYL] Investigating Test-Time Training for Patch Classification in Pathology

Knoflach, Michael

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Knoll, Florian

• [UNSURE2026] Uncertainty Estimation in Deep Learning MRI Reconstruction with Focus on Pathologies
• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Knupfer, Anika

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Knäusl, Barbara

• [RIME] An Anatomy-Driven Thoracic Respiratory Motion Model with Population-Calibrated Presets

Ko, Jeremy

• [DGM4MICCAI] 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

Ko, Yehyun

• [MedAgent] When to Request and Whether to Trust: A Two-Decision Imaging Agent for Pleural Effusion Assessment

Kobashi, Syoji

• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis

Kobler, Erich

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Koch, Carolyn

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior

Koch, Lisa M.

• [PIPPI] Quality over quantity: data curation for automated angle of progression estimation in intrapartum ultrasound
• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification

Kocharekar, Atharva

• [OMIA] Towards a Robust and Explainable Pipeline for Diabetic Retinopathy Classification through Quality-Aware GenAI Image Restoration

Kodrat, Patrick Avelino

• [OMIA] ArTiSan: Archetype-Aware TimeSformer for Fast Glaucoma Progression

Koechert, Marie

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Kofler, Florian

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Kofoed, Klaus F.

• [STACOM] Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion
• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

Koga, Ryoichi

• [COMPAYL] Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space
• [COMPAYL] Modeling Intra-spot Cellular Context for Histology-to-Spatial Transcriptomics Prediction

Kohi, Maureen

• [SASHIMI] ∆-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge

Koirala, Arogya

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Kojima, Yasuhiro

• [MISO] Leveraging Cell-level Spatial Transcriptomics as Weak Supervision for Nuclei Classification

Kolahi, Sina Ghorbani

• [MLMI] MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation

Kolbinger, Fiona R.

• [ShapeMI] PanVasc: A Shape-Aware Framework for Peripancreatic Vascular Invasion Assessment in Pancreatic Ductal Adenocarcinoma

Kollet, Jutta

• [MISO] Iterative Gamma Normalization for Inter-Sample Integration of Multiplexed Tissue Images

Kolli, Govinda

• [LISA] Diverse-Loss Backbone Ensembling for Multi-Label Artifact Quality Assessment of Ultra-Low-Field Pediatric Brain MRI
• [ISLES] Voxels or Millimetres? A Controlled Comparison of Lesion-Size Filtering for Native-Space Stroke Segmentation
• [EchoRisk] EchoMoVE: Multi-View Mixture-of-Experts Regression for Echocardiographic LVEF Estimation under Small-Cohort and Label-Imbalance Constraints
• [CMRxRecon2026] Keep the Encodings Apart: Per-Encoding Complex-Valued Variational Networks for Accelerated 4D Flow MRI
• [AMPLIFAI] Metric-Aligned Cross-Phase Attention for LI-RADS Categorization of Liver Lesions on Multi-Phase CT

Kollias, Stefanos

• [CLiMeM] Multimodal Fusion for Domain-Incremental Continual Learning in 3D Medical Imaging

Kollyfas, Rafael

• [COMPAYL] QUERY-ST: Language-Guided Retrieval Across Histology and Spatial Transcriptomics

Komuro, Takanori

• [ELAMI] Sliding window-based local feature extraction for findings reports generation from longitudinal 3D CT volumes

Kondo, Satoshi

• [REG2026] PRG-RGen: Pathologist Reasoning-Guided Report Generation on WSIs via Multimodal LLMs
• [MedReason] CLINIC-VQA: Reasoning-Aware MLLM with Explicit Clinical Reasoning Traces for Medical Visual Question Answering
• [HEADLINE] E-Head: Efficient Head CT Report Generation via Multi-Resolution Series Integration and Two-Stage Parameter-Efficient Fine-Tuning

Kondo, Yasushi

• [RHEUM-AI] RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Kondratyeva, Varvara

• [MultiTab] Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information

Kong, Michael

• [BraTS-METS] Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector

Kong, Qingtao

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Kong, Zhaokai

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Kongbi Nfo, Zion

• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Kongtongvattana, Chayun

• [DEMI2026] Structure-Aware Diffusion for Synthetic Fluoroscopic Video Generation

Konukoglu, Ender

• [UNSURE2026] Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection
• [ODIN] Teeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework
• [MedAGI] Semi-Supervised Few-Shot Adaptation of Vision-Language Models
• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction
• [MLMI] Inter-Slice Acquisition Budget Allocation for Pathology Aware Accelerated MRI

Koole, Leon

• [UNSURE2026] Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset

Koomson, Isaac Kofi

• [MIRASOL] MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI

Koos, Krisztian

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation
• [DGM4MICCAI] PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

Kordes, Gunnar Paul

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Korfiatis, Panagiotis

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation
• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Kori, Avinash

• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Koser, Niklas C.

• [MedReason] Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA

Koshy, Priyanka

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Kotte, Sujatha

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Koubaa, Makram

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Koukoutegos, Konstantinos

• [DeCaF] Quantifying Membership Privacy Risk Using Shadow Model Membership Inference Attack: Observations from a Breast Cancer Use Case
• [DeCaF] FOCUS: Federated Learning Optimized Convergence via Uncertainty-guided Sampling
• [COMPAYL] Bidirectional Translation Between ISH and H&E Glioblastoma Tissue Sections via Attention-Enhanced CycleGAN

Koulaouzidis, Anastasios

• [SASHIMI] Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy

Koush, Yury

• [SynthOCT] Speckle-Phase Refinement on an Exact Differentiable Scanner Twin for Inverse OCT Phantom Generation
• [FoundUS] TABS: Transfer-Aware Backbone Selection for Cross-Centre Ultrasound Biometry
• [CMRSeg] An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Koutsouvelis, Petros

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

Kovacs, Balint

• [ASMUS] Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI
• [AIMS-TBI] Evaluating Large-Scale Pretraining and Auxiliary Training Data for T1-only TBI Lesion Detection and Segmentation in the AIMS-TBI 2026 Challenge

Kovacs-Deak, Daniel

• [HAIC26] Characterizing Global and Local Model Behavior in Interactive Segmentation

Kowalewski, Karl-Friedrich

• [ASMUS] Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI

Kozerke, Sebastian

• [STACOM] Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
• [DT4H] Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins
• [CMRxRecon2026] FlowMRI-Net++: A Unified Sampling-Aware 4D Flow MRI Reconstruction Network with Zero-Shot Adaptation

Kozinski, Mateusz

• [UNSURE2026] Foundation Model and Radiomics Distance Scores for Post-Hoc Segmentation Failure Detection

Kraaijveld, Rosa Cornelia Jacoba

• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Krah, Simeon

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Kramarski, Lior

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Kravchenko, Oleksandr

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Kreitner, Linus

• [GRAIL] Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images

Kremser, Christian

• [MVAA] Multi-Modal Mitral Valve Anatomy Analysis: Supervised and Semi-Supervised Segmentation Across CT, Ultrasound, and Surgical Video

Kreutzer, Christina

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Krishnamurthi, Ganapathy

• [MedAgent] MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring
• [AIMS-TBI] Hybrid Ensemble with Multi-Patch Fine-Tuning for Traumatic Brain Injury Segmentation

Krishnamurthy, Parameswari

• [iMIMIC] How Well Do Chest X-Ray VLM Attention Overlays Match Radiologist Boxes? A Cross-Model Audit and Radiologist Reader Study

Krnjaca, Denis

• [Off-Grid] Surface-Conditioned Implicit Reconstruction of Internal Anatomy for Automated Patient Positioning

Kroenke, Christopher D.

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Kruger, Jaime Leigh

• [SWITCH] Machine Learning for Stroke Outcome Prediction: Comparing Tabular Models to Clinical Scores on IST
• [AFRICAI] Towards Privacy-Preserving Multi-Site ICH Detection for South African Telestroke Networks

Krémer, Stéphane

• [MLCN-2026] TIIC: Tabular Integration of Imaging and Clinical Data for Interpretable Multimodal Inference for Alzheimer’s Disease

Krüselmann, Paula

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Kshirsagar, Jay

• [MVAA] Label-Limited Mitral Valve Segmentation Across CT, TEE, and Surgical Video: MVAA 2026

Kuang, Libing

• [DEMI2026] Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Kuang, Yinglan

• [COMPAYL] Distance-Guided Vision Transformer based Foundation Model for Fluorescence Nuclei Instance Segmentation

Kucharski, Dariusz

• [MIRASOL] Dataset-Free Dermoscopic Hair Removal

Kuestner, Thomas

• [MIART] Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

Kuhn, Lorenz Achim

• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Kuipers, Thijs P.

• [ShapeMI] Cardiac Shape Priors for Equivariant Neural Field Representations of Cine MRI

Kuk, Hee

• [MAMA-SYNTH] Where and How Much: Enhancement-Decomposed Flow Matching for Virtual Contrast-Enhanced Breast MRI

Kukudabi, Seth Kwabena Kyei

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Kulac, İbrahim

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Kulagin, Pavel

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Kulagina, Maria

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Kulasekhar, Pranesh

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Kulbaka, Aleksandra

• [SASHIMI] Few-Shot Flow Matching with Stochastic Barycentric Sampling for Image Synthesis
• [ASMUS] Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Kuligin, Leonid

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Kulkarni, Nishad

• [MedReason] Medical Visual Question Answering with Length-Prior Arbitration and Reward-Aligned GRPO

Kumar, Aditya

• [BraTS-PEDs] Two-Track Ensembling for Pediatric Brain Tumor Segmentation: Class-Specific Fusion and Voxel-Wise Intersection for Rare Subregions

Kumar, Arnav

• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Kumar, Dhirendra

• [ISLES] Atlas-Centric Multi-Center Ischemic Stroke Lesion Segmentation with MedNeXt++

Kumar, Kaveti Pavan

• [CREATE] Surgical Foundation Model Ensembles for Predicting Annotator Disagreement in Critical View of Safety Assessments

Kumar, Puneet

• [ISLES] Atlas-Centric Multi-Center Ischemic Stroke Lesion Segmentation with MedNeXt++

Kumar, Sandeep

• [MIRASOL] Local Audit Certification of Transferred Medical Imaging Models in Resource-Constrained Settings

Kumar, Sanoj

• [EMERGE] Relational Learning of Temporal and Semantic Clinical Structured EHRs for Enhanced Patient Outcome Forecasting

Kumar, Yogesh

• [BraTS-GoAT] MISFIT: A Self-Supervised Pretraining Toolkit for 3D Medical Imaging — A Preliminary Test Across Three BraTS 2026 Segmentation Tasks

Kumari, Pratibha

• [cdmri] Spatial Masked-Set Learning for Sparse Multi-Shell Diffusion MRI Signal Synthesis
• [COMPAYL] FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology

Kumbasar, Tufan

• [UNSURE2026] Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Kundu, Soumya Snigdha

• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Kunhoth, Jayakanth

• [MLCN-2026] Toward Personalized Dyslexia Classification via Dynamic Functional Connectivity and Explainable AI

Kunwar, Rabin

• [HECKTOR] From Tumor Segmentation to Clinical Prediction: A PET/CT Pipeline for Head and Neck Cancer

Kunwor, Nirajan

• [MIRASOL] Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap
• [DeCaF] Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Kunz, Christian

• [CAPI-WOMEN] Evaluating the Prompt-to-Automation Gap: A Comprehensive Benchmark for Laparoscopic Endometriosis Segmentation

Kunz, Dominik

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Kuo, I-Hsien

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes

Kurmi, Yashwant

• [LISA] LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MRI

Kurmukov, Anvar

• [ADSMI2024] The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

Kurt, Mehmet

• [MIRASOL] Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation
• [ISLES] T1w MRI Stroke Lesion Segmentation with Optimized Preprocessing and Residual Encoder nnU-Net

Kurugol, Sila

• [TIA] ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT
• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Kuznetcov, Yana

• [ShapeMI] Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Kwak, Jin Tae

• [MISO] MINT-ST: Multi-Dataset Integration and Pretraining for Histology-Based Spatial Transcriptomics Gene Expression Prediction
• [EMA] Test-Time Instance Selection for Improved Whole Slide Image Analysis
• [AIMS-TBI] Rebalancing Lesion Exposure: Instance-Aware Sampling for msTBI Lesion Segmentation

Kwarciak, Kamil

• [SASHIMI] MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation
• [MAMA-SYNTH] MAMA-FLUX.2: Image-to-Image Synthesis of Post-Contrast Breast DCE-MRI for the MAMA-SYNTH Challenge

Kwesiga, Emmanuel Paul

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Kwon, Hyeokjin

• [GRAIL] Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

Kwon, Joon Ho

• [DT4H] Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Kwon, Kiyong

• [MAMA-SYNTH] Lesion-Aware Virtual Contrast-Enhancement in Breast MRI Using CycleGAN

Kwon, Minjun

• [TREAT-MMTB] GO-CavNet: Ordinal-Supervised, Detection-Gated Cavity Segmentation for Tuberculosis Chest Radiographs
• [TREAT-MMTB] Class-Weighted Metadata-Aware Ark+ Fusion for Multimodal Tuberculosis Classification

Kyle, Eimear

• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Kömürcü, Kubilay Kağan

• [BraTS-Inpainting] Sharpening the Ensemble: An SSIM-Aligned Residual Refiner for Brain-MRI Inpainting Post-Processing

Köstler, Harald

• [BraTS-Path] Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

LaBella, Dominic

• [ODIN-challenges] Resource-Aware Retrieval Baselines for CBCT-to-Report Generation in ToothFairy4
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Lach, Agnieszka

• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Ladefoged, Claes

• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Ladjal, Hamid

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Lafata, Kyle J.

• [COMPAYL] Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Lahoud, Jean

• [EMA] InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation

Lai, Bo-Wei

• [MLCN-2026] Do CNNs Learn Clinically Meaningful Imaging Representations? A Portable Multi-level Representation Audit for Brain Tumor MRI Classification

Lai, Long

• [BraTS-PEDs] Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Lajoinie, Guillaume

• [Off-Grid] Overlap-Free Multi-Organ Shape Synthesis with Implicit Neural Representations

Lakshmanan, Manojkumar

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [ShapeMI] KneeFlow: A Flow Matching Framework for Patient-Specific Knee Reconstruction
• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [MLMI] PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification
• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data
• [DEMI2026] FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound
• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation
• [AMAI] SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Lakyiere, Alice Bagyiereyele

• [FAIMI-BRIDGE-EPIMI] When Fairness Transfer Backfires: Dark-Skin Inversion in Dermatology Foundation Models and a Minimal In-Distribution Fix
• [CAPI-WOMEN] Patient-Level Data Leakage in Colposcopy Classification: A Cautionary Study with Evidential Uncertainty Quantification for Cervical Cancer Screening
• [AFRICAI] Accurate but Not Equally Trustworthy: Benchmarking Foundation Models for Fetal Ultrasound in Africa

Lal, Shrestha Nischal

• [REG2026] PathChain: Reproducing the Pathologist’s Diagnostic Workflow from Whole-Slide Images

Lalande, Alain

• [ISLES] From Baseline to Bilateral Asymmetry: A Systematic nnU-Net Comparison for Ischemic Stroke Lesion Segmentation in ISLES’26
• [Deep-Brea3th] Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer

Lalwani, Devansh

• [REG2026] Grounded Ontology Walker: Interpretable Diagnostic Reasoning and Report Generation for Whole Slide Images

Lam, Ka-Ho

• [LISA] Generalized Prior-Conditioned MRI Segmentation for Ultra-Low-Field Pediatric Brain Structure Segmentation

Lam, Kyle

• [MedAgent] CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

Lamane, Abdallah

• [iMIMIC] SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

Lamata, Pablo

• [STACOM] Cardiac Shape-Derived Endophenotypes and Covariant Correction using Statistical Motion Atlases

Lambart, Lena

• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia

Lambiase, Pier D.

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision

Lambin, Philippe

• [MAMA-SYNTH] Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching

Lambrecht, Maarten

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Lambrechts, Adriaan

• [HAIC26] Characterizing Global and Local Model Behavior in Interactive Segmentation

Lambrou, Tryphon

• [DEMI2026] Depth-Enhanced LoRA-Tuned VLMs for Hand and Tool Keypoint Detection in Surgical Scenes

Lamdouar, Hala

• [HAIC26] A3F: Anatomy-Aware Actionable Feedback for Fetal Ultrasound

Lamey, Christina Maher

• [MIRASOL] Compact Radiomics-Guided FiLM Conditioning for Ultrasound-to-MRI Translation

Lamini, Harunah

• [EMERGE] Feature Extraction Strategies for Clinically Significant Prostate Cancer Detection on Biparametric MRI: A Systematic Ablation of the Local-Global MIL Framework

Lammert, Jacqueline

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Lan, Haoyu

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Lan, Lizhen

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Lan, Patricia

• [MLMI] Model-based distortion correction for Magnetic Resonance Echo Planar Imaging

Lan, Ziyun

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Lander, Andrew

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Lander, Jayne

• [HAIC26] A3F: Anatomy-Aware Actionable Feedback for Fetal Ultrasound

Landman, Bennett A.

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Landry-Schonbeck, Anaïs

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform

Lang, Daniel M.

• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Lange, Maximin

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Langer, Steve G.

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Langs, Georg

• [STACOM] GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification
• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Langstraat, Carrie L.

• [AMAI] Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

Lanning, Ryan

• [HECKTOR] HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

Lansdown, George

• [ASMUS] TargetIQA: Anatomy-Aware Ultrasound Image Quality Assessment

Lanzarotti, Raffaella

• [ShapeMI] Learning the Marfan Face: A Conditional Mesh VAE for Explainable Screening and Synthetic Generation

Lapergue, Bertrand

• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Lara, Andrea

• [MIRASOL] Deployment-Oriented Benchmarking of Optimized Deep Learning Models for Real-Time Fetal Plane Classification on Mobile Devices

Lareyre, Fabien

• [STACOM] GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity

Larmuseau, Maarten

• [CaPTion] DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

Laroca, Rayson

• [BraTS-GoAT] Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

Larose, Clément

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Larrea, Juan Iñaki

• [MIRASOL] Label-Free Foundational Model Selection for Medical Image Classification under Distribution Shift via Pseudo Label Discrepancy

Larsen, Peter Hjørringgaard

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes

Larson, David B.

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Larson, Kathleen E.

• [SASHIMI] DisMorph: learning to disentangle technical distortions from true biological change

Lartizien, Carole

• [SASHIMI] OTLesMix: Wasserstein Barycenter and Optimal Transport Map for Synthetic Lesion Generation with Diverse Shapes and Locations
• [MLCN-2026] Representation Learning for 3D Brain Imaging: A Benchmark
• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Laskorunskyi, Roman

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Laslo, Daria

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Laun, Frederik B.

• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Lauzier, Pascal Theriault

• [MVAA] Label-Limited Mitral Valve Segmentation Across CT, TEE, and Surgical Video: MVAA 2026

Lavoie, Frédéric

• [ShapeMI] A Joint 2D–3D Statistical Shape Model for Orthopedic Reconstruction
• [Off-Grid] Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

Lawal, Olamide

• [MIRASOL] Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa
• [MIRASOL] From Binary Labels to Stage-Aware Bounding Boxes: Evaluating Annotation Depth in Malaria Microscopy
• [AFRICAI] Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

Lawlor, Aonghus

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI
• [DT4H] From Treatment Choices to Tumour Trajectories: Proof-of-Concept in Preference-Aware Agentic Simulation for Digital Twins
• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Lawrence, Katherine E.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Lazendić, Srđan

• [EMERGE] Annotation-Free Structured Delineation for Weakly Supervised PET Lesion Segmentation

Lazo, Jorge F.

• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Le Chevalier, Veronique

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Le Folgoc, Loic

• [EMA] Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

Le Gourrierec, Titouan

• [MRIxFields2026] Cross-Field MRI Synthesis with an Unpaired Neural Schrödinger Bridge

Le, Duc-Tai

• [MedAGI] Frequency Adapter with SAM for Generalized Medical Image Segmentation
• [EMA] Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Le, Duc-Thanh

• [CLiMeM] Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

Le, Nathan

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Le, Wei

• [AMAI] Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

Lebel, Catherine

• [ShapeMI] Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Lebowitz, Mendel

• [AMPLIFAI] PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT

Lecomte, François

• [Off-Grid] Is Reconstruction Fidelity a Reliable Proxy for Segmentation in Medical INRs?

Ledesma-Carbayo, María J.

• [CARE] Shared Multimodal Learning with Anatomical Pretraining for CT and MRI Whole-Heart Segmentation

Ledig, Christian

• [UNSURE2026] Layer Selection in VLMs for Zero-Shot OOD Detection via Multi-Resolution Entropy Estimation
• [EndoLINA] TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
• [EMA] MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification
• [DEMI2026] Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching
• [ADSMI2024] MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Lee, Dongheon

• [MedAgent] When to Request and Whether to Trust: A Two-Decision Imaging Agent for Pleural Effusion Assessment
• [MedAgent] LongCXR-Agent: Query-Driven Tool Selection for Longitudinal Chest X-ray Reasoning
• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using an Ensemble of MRI Foundation Models

Lee, Dongyun

• [DT4H] PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation

Lee, Gwang

• [TREAT-MMTB] GO-CavNet: Ordinal-Supervised, Detection-Gated Cavity Segmentation for Tuberculosis Chest Radiographs
• [TREAT-MMTB] Class-Weighted Metadata-Aware Ark+ Fusion for Multimodal Tuberculosis Classification

Lee, Hanjoo

• [MedAgent] Attack Your Own Findings: A Falsification Agent Framework for Biomedical Discovery, Benchmarked on Four Errors We Actually Made

Lee, Ho Hin

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Lee, Hoi Leong

• [MLMI] HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

Lee, HyoSeok

• [MRIxFields2026] Cross-Field MRI Synthesis with an Unpaired Neural Schrödinger Bridge

Lee, Hyunki

• [LISA] Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Lee, Hyunyeol

• [TREAT-MMTB] Morphology-Informed Deep Ensemble Learning for Pulmonary Cavity Detection and Segmentation on Chest X-Rays

Lee, Ickjai

• [Deep-Brea3th] DAMST: Domain-Adaptive Medical Slice Transformer for Multi-Center Breast MRI Classification

Lee, Janice S.

• [ODIN] Automatic Cephalometric Landmark Localization on CBCT-Derived Digitally Reconstructed Radiographs for Skeletal Malocclusion Classification

Lee, Jemyoung

• [iMIMIC] When Saliency Over-Credits Anatomy: Token-Level Evidence Flow in Frozen Medical Vision Transformers

Lee, Jong-Min

• [GRAIL] Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

Lee, Jongwoon

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Lee, JunGyu

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Lee, June-Goo

• [SASHIMI] Any-to-One CT Kernel Conversion without Source-Kernel Data
• [CMRxRecon2026] Separating Aliasing from Flow: Temporal-Frequency Regularization for Unrolled 4D flow MRI Reconstruction

Lee, Kelvin

• [STACOM] Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement

Lee, Matthew

• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Lee, Myeongjin

• [CMRxRecon2026] Subspace-Guided Upstream-Downstream Deep Learning Reconstruction for Fast 4D Flow MRI

Lee, Peter D.

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Lee, Ping-Lun

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Lee, Sang Min

• [SASHIMI] Any-to-One CT Kernel Conversion without Source-Kernel Data
• [SASHIMI] Synthesizing CT-based Functional Lung Ventilation Map: A Comparative Study of Generative Models for Image-to-Image Translation

Lee, Sang Wan

• [MRIxFields2026] Unified Source-Conditioned Translation with Shared-Cycle Refinement for Any-to-Any Cross-Field Brain MRI

Lee, Sang Yun

• [CMRxRecon2026] Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

Lee, Seohwa

• [HAIC26] Toward Agentic Echocardiography: Reinforcement Learning with Foundation-Model Similarity Rewards in a CT-Derived Simulation

Lee, Seongeun

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Lee, Seung Won

• [MAMA-SYNTH] Where and How Much: Enhancement-Decomposed Flow Matching for Virtual Contrast-Enhanced Breast MRI

Lee, Victor Ho-Fun

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy

Lee, Wei-Kai

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Lee, Won Hee

• [SASHIMI] Beyond Visual Realism: The Neuro-Fidelity Index for Validating Geometric Integrity in Synthetic Brain MRI

Leemans, Alexander

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

Leenders, Marten

• [SWITCH] Arterial Change Detection in Cerebral Digital Subtraction Angiography

Lefebvre, Joël

• [cdmri] AdaViT: Adaptive Viral Tracing Informed Tractography

Legbassi, Gildas Sèyigbénan

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Legendre, Mathieu

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Leguy, Eliot

• [CAPI-WOMEN] Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints
• [CAPI-WOMEN] Comparing Problem Formulations for Endometriosis Lesion Detection on T2-weighted Pelvic MRI

Lehman, Julia F.

• [cdmri] Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology

Lei, Baiying

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks
• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment
• [ELAMI] BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

Lei, Haijun

• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment
• [ELAMI] BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

Lei, Qin

• [MAMA-SYNTH] Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement

Lei, Zhen

• [CREATE] Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting

Leijser, Lara

• [RIME] Contrast-Reversal Augmentation for Adult-to-Neonatal MR Image Reconstruction: Pretraining and Fine-Tuning Strategies

Leiner, Tim

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Leiva Ureta, Carmen Luz

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Lekadir, Karim

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning
• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia
• [AFRICAI] Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Lemke, Tristan

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening

Lemée, Jean-Michel

• [MIRASOL] Where Does the Discrepancy Come From? Probing Healthy vs. Tumor fMRI with Convolutional and Statistical Lenses

Lena, Beatrice

• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Lenaerts, Tom

• [ShapeMI] Landmark Detection Supported by Anatomy Segmentation and Geometric Constraints

Leng, Yilin

• [MLCN-2026] MEROS: Multi-view Expert Routing in Ordinal Space for MDD Spectrum Assessment

Lenoir, Clément

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Lents, Marco

• [DEMI2026] Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching

Lenz, Tim

• [EMA] Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

Lepetit, Vincent

• [SASHIMI] A Latent Single-Step Network is Sufficient for Accurate CBCT-CT Translation

Leplaideur, Stéphanie

• [EMA] StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Leray, Florent

• [EMA] StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Lerchl, Tanja

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Leslie, William D.

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Leuders, Pia

• [DT4H] Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins

Levchuk, Anatoliy

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Levi, Riccardo

• [BraTS-METS] Ensemble nnU-Nets for pre- and post-operative Brain Metastases Segmentation in BraTS 2026 Task 1

Levilly, Sébastien

• [Off-Grid] Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning

Levin, Craig S.

• [RIME] Domain-Adapted Bi-Planar RAFT for Dense 3D Cardiac Motion Estimation

Lewis, Joshua R.

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Leysen, Siebe

• [PIPPI] Mapping Structural Connectivity in the Neonatal Developing Brain using Multi-Component Tissue Modelling

Li, Anqi Peter

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Li, Baoxin

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Li, Bin

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation
• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Li, Chang

• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Li, Chao

• [CMMCA] OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication
• [CMMCA] TriSCoV-Net: Cross-Scale Verified Virtual Immunomarker Proxy Generation from Diffusion Magnetic Resonance Imaging

Li, Chengwei

• [BraTS-PEDs] HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation
• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI
• [BraTS-GoAT] MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

Li, Chenke

• [FoundUS] CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Li, Chenxi

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Li, Chunhui

• [MIART] EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Li, Dawei

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting
• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Li, Fan

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis

Li, Feng

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning
• [CREATE] Intraoperative AR Visualization of Preoperative (CB)CT via X-Ray Registration
• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Li, Gang

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Li, Han

• [COMPAYL] CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

Li, Hao

• [BraTS-PEDs] AFS-Net: Adaptive Fusion Skip Network for Pediatric Brain Tumor Segmentation

Li, Haodong

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression

Li, Haojin

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Li, Heng

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Li, Jacky

• [MedAgent] A Label-Efficient On-Device QC Agent for MRI Segmentation under Domain Shift

Li, Jiahao

• [COMPAYL] ProtoDiffSurv: Differential Prototype Learning for Weakly Supervised Survival Analysis

Li, Jiake

• [FoundUS] Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026

Li, Jiaqiang

• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment
• [ELAMI] BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

Li, Jiawen

• [AMAI] BARW-GP: Workload-Aware Threshold Selection for Multi-Label Medical AI Alerting Across Chest X-ray and ECG

Li, Jihe

• [MIART] DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy

Li, Jinke

• [FoundUS] Semi-supervised DINOv3 Adaptation for Multi-domain Ultrasound Biometry

Li, Junyi

• [CARE] ROI-Guided Dual-Channel Data Construction and Ensemble Learning for Left Atrium Segmentation in the CARE 2026 Challenge

Li, Justin

• [CARE] Improving Cross-Site Whole-Heart Segmentation

Li, Kai

• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Li, Kuo

• [MLCN-2026] Rapid Whole-Brain Parcellation

Li, Lei

• [STACOM] MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction
• [EchoRisk] MultiPhys-EF: Decorrelated Multi-Signal Fusion for LVEF Estimation in Cardiotoxicity Surveillance
• [DT4H] Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging
• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins
• [CARE] A Transfer-Learned Segmentation-to-Staging Cascade for Robust Liver Fibrosis Staging on Real-World Multi-Vendor MRI
• [ASMUS] EchoFAM: Frequency Prior-Driven Adaptation of SAM2 for Echocardiography Video Segmentation

Li, Lin

• [MedAgent] CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

Li, Linhao

• [MLMI] Efficient and Faithful Retrieval-Augmented Medical VQA via Intention-Guided On-Policy Self-Distillation

Li, Liu

• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Li, Meijing

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression

Li, Meng

• [FoundUS] High-Resolution DINOv3-DSNT Landmark Regression for Multi-Organ Ultrasound Biometry

Li, Miao

• [HEADLINE] Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

Li, Qiang

• [MedAgent] Ask4VG: A Risk-Aware Question Selection Agent for Reducing Prior-Driven Answers in Medical VQA

Li, Qingbiao

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Li, Qingya

• [STACOM] MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction
• [ASMUS] EchoFAM: Frequency Prior-Driven Adaptation of SAM2 for Echocardiography Video Segmentation

Li, Ruizhe

• [CARE] A Unified Registration-Guided 3DINO Framework for Semi-Supervised Liver Segmentation and Patch-Based Liver Fibrosis Staging under Missing Modalities

Li, Shangkun

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging

Li, Shengjun

• [MLMI] A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement

Li, Shibo

• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Li, Shouguo

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Li, Sijie

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Li, Sixing

• [UNSURE2026] Does Inter-Rater Variability Matter? Preclinical MRI Tumor Segmentation and Downstream Analysis

Li, Tengfei

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Li, Tian

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Li, Wei

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment

Li, Wenze

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Li, Wutong

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging

Li, Xiang

• [COMPAYL] Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Li, Xiaomeng

• [MedAgent] Which Tool Response Should I Trust? Towards Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Reinforcement Learning
• [MVAA] StateMV: Trust-Gated Anatomy-State Transitions for Multimodal Mitral Valve Segmentation
• [LISA] Enhancing Neuroanatomical Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI
• [AFRICAI] ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging
• [ADSMI2024] CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Li, Xiaoshuang

• [FoundUS] CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Li, Xingjian

• [MI4MedFM] PATH-DISSECT: Interpreting Concept Representation and Classifier Reliance in Pathology Foundation Models with Sparse Autoencoders

Li, Xinshan

• [PIPPI] The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Li, Xinwei

• [COMPAYL] PathPool: Decoupled and Pooled Feature Serving for Pathology Foundation Models

Li, Xuejian

• [MLMI] Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning

Li, Yan

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Li, Yanheng

• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation

Li, Yijin

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

Li, Yilin

• [MVAA] Mitral Valve Multi-modality Adaptive Segmentation

Li, Yingfa

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Li, Yingzhen

• [UNSURE2026] A Principled Approach to Unsupervised Anomaly Detection

Li, Yitong

• [TIA] PE-QUEST: QUality ESTimation-driven Sample Selection for Pulmonary Embolism Segmentation

Li, Yuchong

• [MLCN-2026] EEG-LoGNet: Bridging Local Features and Global Contexts for EEG-Based Motor Imagery Classification
• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Li, Yue

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation
• [FoundUS] UniUSB: Domain-Aware Adaptation of Vision Foundation Models for Unified Multi-Domain Ultrasound Biometry

Li, Yuehua

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis
• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Li, Yuheng

• [DT4H] Anticipatory Digital Twins for Online Head-and-Neck Adaptive Proton Therapy via Foundation-Model Registration

Li, Yunshu

• [FoundUS] USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement

Li, Yunyi

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis
• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Li, Zeju

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging

Li, Zengxing

• [MRIxFields2026] FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling
• [FoundUS] Semi-supervised DINOv3 Adaptation for Multi-domain Ultrasound Biometry
• [FoundUS] Attention-Gated U-Net with Heatmap Moment Coordinates for Multi-Organ Ultrasound Biometry

Li, Zexi

• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Li, Zhen

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Li, Zheng

• [MVAA] Hybrid-Supervised Multi-Task Network for Multi-Modal Perioperative Mitral Segmentation
• [CMRSeg] Multi-View CMR Segmentation with Clinical Quantification for Cine and LGE: Vista3D and DINOv2-DPT

Li, Zhi

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Li, Zhi Han

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Li, Zhichu

• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Li, Zhitong

• [CMMCA] OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication

Li, Zhuo

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis

Li, Zhuohang

• [MVAA] Mitral Valve Multi-modality Adaptive Segmentation

Li, Zirong

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Li, Zongze

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Liang, Kaicheng

• [EMA] A Tiny Correction in the Right Place: Adapting a Fluorescence Super-Resolution Foundation Model

Liang, Shuang

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Liang, Wen-Yih

• [REG2026] Slide-Impression-Guided Modular Reasoning for Pathology Report Generation

Liang, Xinglong

• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction

Liang, Yuan

• [CaPTion] Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer

Liang, Zhichao

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis

Liao, Kaitao

• [CARE] Improving Cross-Site Whole-Heart Segmentation

Liao, Yenpeng

• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Licandro, Roxane

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI
• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Liebert, Andrzej

• [Deep-Brea3th] Breast MRI Sequence Type Classification using Convolutional Neural Networks
• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Lill, Yoriko

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Lim, Changwon

• [BraTS-GoAT] AIstatLab at BraTS-GoAT 2026 Task 3: Quality-Controlled Consensus Pseudo-Labeling and Dense Expert Adaptation

Lim, Chiew Hui

• [COMPAYL] PathTrace: A Trace-Based Evidence Harness for Auditing Whole-Slide Pathology Agents

Lim, Jason

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Lim, Nayeon

• [TREAT-MMTB] Global-to-Local Segmentation and Context-Aware Detection of Tuberculosis Cavity in Chest X-rays

Lin, Cheng-Kuan

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Lin, Chi-Yin

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Lin, Ching-Che

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Lin, Daniel

• [CARE] Improving Cross-Site Whole-Heart Segmentation

Lin, Fang-Yi

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles

Lin, Hansheng

• [BraTS-PEDs] Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Lin, Hui

• [ODIN-challenges] Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Lin, Huiyan

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Lin, Junjie

• [LISA] Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis

Lin, Kevin Qinghong

• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition

Lin, Muqing

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Lin, Pei-Jung

• [LISA] Generalized Prior-Conditioned MRI Segmentation for Ultra-Low-Field Pediatric Brain Structure Segmentation

Lin, Shao

• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Lin, Shih-Chih

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles

Lin, Siqi

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Lin, Weili

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Lin, Weiping

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Lin, Xin

• [MLMI] Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease
• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Lin, Zhi-Xun

• [BraTS-METS] ACORN: Asymmetric Conditional Overlapping RAVSS Network for Segmenting Small Brain Metastases

Lin, Zhihao

• [ODIN-challenges] Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Lin, Zhixin

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Linardos, Akis

• [DeCaF] Quantifying Membership Privacy Risk Using Shadow Model Membership Inference Attack: Observations from a Breast Cancer Use Case
• [DeCaF] FOCUS: Federated Learning Optimized Convergence via Uncertainty-guided Sampling

Lindemann, Alessia

• [BraTS-METS] Ensemble nnU-Nets for pre- and post-operative Brain Metastases Segmentation in BraTS 2026 Task 1

Lindenbaum, Ofir

• [iMIMIC] A Probabilistic Source-Free Domain Adaptation Method for Concept Bottleneck Models

Lindholz, Maximilian

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings
• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Ling, Hongshun

• [MVAA] Mitral Valve Multi-modality Adaptive Segmentation

Ling, Sai Ho

• [MWM] Stochastic High-Frequency Modeling for Uncertainty-Aware Synthetic CT Generation in Radiotherapy

Ling, Xitong

• [REG2026] Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

Linguraru, Marius George

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results
• [AMAI] Adaptive Riemannian Geometry for Seizure Onset Zone Localization in Intracranial Electroencephalography

Link Sourani, Daphna

• [GRAIL] GraphSVR: q-Space–Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI

Link-Sourani, Daphna

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes
• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Linte, Cristian

• [SAFER] Robustness Evaluation of Surgical Medical Visual Question Answering Models Under Textual Perturbations

Lionetti, Simone

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Lionts, Marilyn

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Liou, Kenny

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Lip, Edward Lue Chee

• [AMAI] A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Lipkova, Jana

• [COMPAYL] MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention

Lippenszky, Levente

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation
• [DGM4MICCAI] PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

Lippert, Christoph

• [SAFER] CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

Lisanti, Giuseppe

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Littlefield, Nickolas

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Liu, Aie

• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Liu, Anbang

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Liu, Bingchuan

• [FoundUS] SonoAdapt: Foundation Model Adaptation for Supervised Multi-Task Ultrasound Biometry

Liu, Bo

• [MRIxFields2026] N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation
• [MRIxFields2026] DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation

Liu, Changjing

• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
• [EMA] Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

Liu, Chaozong

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Liu, Chengcai

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Liu, Chensheng

• [TIA] Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN and Transformer Architectures

Liu, Chenyang

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Liu, Daiqi

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis
• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Liu, Ducheng

• [CARE] Topology-Guided Lightweight 2.5D Liver Segmentation for Limited-Annotation Multi-Center Fibrosis MRI

Liu, Feifei

• [DGM4MICCAI] Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff

Liu, Guanyu

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Liu, Han

• [ShapeMI] SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections
• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis
• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Liu, Hanyu

• [CMMCA] TriSCoV-Net: Cross-Scale Verified Virtual Immunomarker Proxy Generation from Diffusion Magnetic Resonance Imaging

Liu, Haobin

• [BraTS-METS] Pre- and Post-Treatment Brain Metastases Segmentation Using nnU-Net with Post-Processing for BraTS 2026

Liu, Hengjie

• [Off-Grid] The Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registration
• [MIART] Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy

Liu, Hong

• [MVAA] SurgNeXt: Structured Semantics and Target Presence for Mitral Valve Segmentation in Surgical Video

Liu, Hongbin

• [CREATE] AI-Guided User Interface Enables Standardized Carotid Ultrasound Scanning After Minimal Training: A Comparative Experimental Study
• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale
• [CREATE] Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting
• [CREATE] FRAME: Full-body Recovery via Adaptive Margin Extension for Occlusion-Robust 3D Human Pose and Shape Estimation

Liu, Huanrong

• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

Liu, Huiying

• [OMIA] Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification
• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Liu, Jiameng

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Liu, Jianfei

• [AMAI] Stratified Iterative Learning for Kidney Cortex and Medulla Segmentation Across Healthy and Pathological Kidneys on Contrast-Enhanced CT

Liu, Jiang

• [OMIA] Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Liu, Jiaqi

• [MedAGI] U-VLM: Hierarchical Vision Language Modeling for Report Generation

Liu, Jiaxin

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Liu, Jieyu

• [FoundUS] Task-Conditioned Parameter-Efficient Adaptation for Robust Ultrasound Landmark Localization and Biometric Measurement

Liu, Jing

• [OMIA] Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Liu, Jingsong

• [COMPAYL] CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

Liu, Jingxin

• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Liu, Kan

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Liu, Liyuan

• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Liu, Mengting

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision
• [ASMUS] Medical Image Registration Metrics Examined for TRUS-Guided Prostate Interventions

Liu, Mianxin

• [MLCN-2026] MEROS: Multi-view Expert Routing in Ordinal Space for MDD Spectrum Assessment

Liu, Min

• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Liu, Mingtian

• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Liu, Mingxia

• [SASHIMI] ∆-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge
• [MLMI] Anatomy-Constrained Neural Dynamics Learning with Function-Structure Coupling for Cognitive Decline Analysis

Liu, Mingxuan

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
• [LISA] Quality Assessment, Enhancement, and Subcortical Segmentation of Ultra-Low-Field Pediatric Brain MRI: The LISA 2026 Challenge

Liu, Ningtao

• [CMRSeg] CardioWorld-GQ: An Observation-Conditioned Cardiac Imaging World Model with a Differentiable Clinical Readout and Calibrated Endpoint Uncertainty

Liu, Ping

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Liu, Ping-Chuan

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Liu, Qinghui

• [ISLES] Adaptive Post-Processing Drives Instance-Level Detection in Stroke Lesion Segmentation
• [AIMS-TBI] A U-Net for Automated msTBI Lesion Segmentation

Liu, Quande

• [MWM] SurgGenesis: A Generative Surgical World Model for Future-Aware Surgical Understanding

Liu, Ran

• [CREATE] AI-Guided User Interface Enables Standardized Carotid Ultrasound Scanning After Minimal Training: A Comparative Experimental Study

Liu, Renlang

• [MVAA] BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Liu, Shucheng

• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Liu, Tianming

• [MLMI] Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Liu, Tianyi

• [FoundUS] Metric-Aware Semi-Supervised DINOv2 Ensembles for Unified Ultrasound Biometry

Liu, Tianyu

• [REG2026] Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

Liu, Ting

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography
• [CARE] ABMP-Net: Abnormality-Aware Bidirectional Motion-Physics Network for Cine CMR-Based Myocardial Scar Segmentation
• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Liu, Wanwan

• [BraTS-PEDs] Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Liu, Wei

• [ODIN-challenges] Global-to-Local Tooth and Pulp Instance Segmentation in Dental CBCT

Liu, Wenguang

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition

Liu, Wenpei

• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Liu, Xiaochen

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Liu, Xiaofeng

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion
• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Liu, Xingping

• [AMAI] BARW-GP: Workload-Aware Threshold Selection for Multi-Label Medical AI Alerting Across Chest X-ray and ECG

Liu, Xing’an

• [PedAItrics] Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation

Liu, Xinyang

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Liu, Xiuyun

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Liu, Xixi

• [MLMI] What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Liu, Yajun

• [CMRxRecon2026] Curriculum Learning and ROI-Aware Supervision for Highly Accelerated 4D Flow MRI Reconstruction

Liu, Yanbo

• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Liu, Yang

• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Liu, Yanzhe

• [EndoLINA] Adapting Generalizable Visual Geometry Models for Endoscopic 3D Reconstruction

Liu, Yaoyu

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Liu, Yi

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition
• [ELAMI] Clinical Reliability in Multilingual Chest X-ray Report Generation
• [Deep-Brea3th] Structure-State Conditioned FB-to-DIBH Transition Learning for Breast Cancer Radiotherapy Segmentation

Liu, Yichen

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Liu, Yilong

• [MRIxFields2026] Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge

Liu, Yingcheng

• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Liu, Yingshuo

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Liu, Yiyao

• [MLCN-2026] Graph-Theoretical Task-Based Frontal Brain Network of Visual Working-Memory Load: An fNIRS Study

Liu, Yong

• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Liu, Yuanye

• [AMPLIFAI] Read to Decide: Interpretable Feature-Guided LI-RADS Categorization from Multiphase CT

Liu, Yun-Hui

• [CREATE] StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Liu, Yusheng

• [ODIN-challenges] Segmentation-Guided 3D Dental ROI Transformer for Structured Clinical Report Generation from CBCT

Liu, Yuxiao

• [MLMI] Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease
• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Liu, Zeyu

• [HAIC26] Beyond One-Shot Interaction: Framing Pathology Human–AI Collaboration via Workflow Evidence
• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Liu, Zhandong

• [FoundUS] A Unified Multi-Task Model for Ultrasound Biometry Landmark Detection under Extreme Label Scarcity

Liu, Zhengjin

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Liu, Zhentao

• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Liu, Zhihong

• [EMA] Outlier-Suppressed Transformer for Efficient 3D Medical Image Segmentation

Liu, Zhongxiao

• [TIA] PE-QUEST: QUality ESTimation-driven Sample Selection for Pulmonary Embolism Segmentation

Liu, Zhourui

• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Liu, Ziming

• [CMMCA] OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication

Liu, Zixuan

• [UNSURE2026] Well-Calibrated but Unusable: Calibration Error Does Not Certify Zero-Shot Chest X-Ray VLMs

Liu, Ziyu

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Lladó, Xavier

• [MRIxFields2026] Latent Conditional Rectified Flow for MRI Synthesis Across Modalities and Field Strengths in the MRIxFields2026 Challenge
• [AIMS-TBI] nnU-Net and Domain Randomization for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury

Llambias, Sebastian

• [ADSMI2024] AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Llana, Sergio R.

• [HECKTOR] A Segmentation-Guided Framework for TN Staging and Recurrence-Free Survival Prediction in HECKTOR 2026

Llinás, Martina

• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Lloret Iglesias, Lara

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Lluch, Èric

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation

Lo, Joseph Y.

• [SASHIMI] Virtual Patients, Real Gains: Simulated CT from Digital Twins for Multi-Task Lung Nodule Analysis

Loboy Ramos, Thomas Alan

• [RIME] STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising

Loddo, Andrea

• [HemaRAI] Comparing Centralized and Federated Learning for ECG-Based Chagas Disease Detection

Loewe, Axel

• [STACOM] Beyond the Left Atrium: Joint Generative Modeling of Bi-Atrial Anatomy

Loewe, Christian

• [STACOM] SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

Loft, Jonas

• [STACOM] Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion

Logan, Joseph

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Loizeau, Xavier

• [MIART] Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

Loizillon, Sophie

• [CaPTion] A Unified Multi-Organ Framework for Universal Lesion Detection, Segmentation and Longitudinal Tracking in CT Imaging

Loke, Sathvik

• [UNSURE2026] When Does Prompt-Perturbation Uncertainty Catch Interactive-Segmentation Failures? An Empirical Study on SAM/MedSAM

Lombaert, Herve

• [ShapeMI] A Joint 2D–3D Statistical Shape Model for Orthopedic Reconstruction
• [STACOM] Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
• [Off-Grid] Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

Lombardi, Angela

• [BraTS-Inpainting] Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

Lombardi, Damiano

• [STACOM] TT3D: Triangular Transport for 3D Left Ventricle Reconstruction

Londres, Paul

• [SASHIMI] A Latent Single-Step Network is Sufficient for Accurate CBCT-CT Translation

Long, Xi

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

Long, Yu

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty

Longo, Alessia

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Lončarić, Sven

• [EchoRisk] Multi-View Beat-Clip Probing of an Echocardiography Foundation Model for Cardio-Oncology

Lopes, Rita N.

• [COMPAYL] QLabelMIL: Inter-Pathology Query Decoding for Multi-Label Gastric Histopathology

Lopez de Munain, Bryan

• [OMIA] Compress to Scale: Semantic Token Reduction for High-Resolution Retinal Image Analysis

Lopez-Tiro, Francisco

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Lorenzi, Marco

• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model

Lorenzo, Armando

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Lotery, Andrew

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Lotter, William

• [iMIMIC] SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

Lou, Zhenye

• [BraTS-METS] Region-Wise Logit Fusion and Utility-Gated Refinement for Brain Metastasis Segmentation

Loução, Nuno

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Lovino, Marta

• [COMPAYL] Unified Multimodal Fusion for Cancer Survival Prediction: A Missing-Robust Framework across Histopathology, Radiology, Genomics, and Clinical Data

Lovstakken, Lasse

• [STACOM] Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

Low, Daniel

• [ISLES] T1w MRI Stroke Lesion Segmentation with Optimized Preprocessing and Residual Encoder nnU-Net

Low, Jordan Jun Yi

• [CARE] A Transfer-Learned Segmentation-to-Staging Cascade for Robust Liver Fibrosis Staging on Real-World Multi-Vendor MRI

Low-Castro, Jesus Antonio

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Lowes, Mathias

• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

Lu, Chen

• [ODIN-challenges] From Voxels to Views to Reports: A Segmentation-Guided VLM Pipeline for CBCT Report Generation

Lu, Chunyao

• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction

Lu, Haijie

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Lu, Jiawen

• [CMRSeg] Geometry-Aware View Routing with Hybrid 2.5D–3D Context for Multi-View Cine CMR Segmentation

Lu, Jie

• [ADSMI2024] Variational multimodal distillation for diagnosing plaque vulnerability in carotid 3D MRI

Lu, Mengkang

• [MedReason] Task-Routed Low-Rank Adaptation with Grounded Supervision for Medical Visual Question Answering
• [BraTS-Path] GLAD-Net: Adaptive Multi-Teacher Distillation of Vision Foundation Models for Fine-Grained Glioma Histopathology

Lu, Wei

• [ISLES] Dual-Family Ensembling and Failure-Mode Analysis for Ischemic Stroke Lesion Segmentation in Single-Sequence T1w MRI

Lu, Xing

• [COMPAYL] Distance-Guided Vision Transformer based Foundation Model for Fluorescence Nuclei Instance Segmentation

Lu, Yanhua

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Lu, Yongping

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Lu, Zhengyi

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Lu, Zhiyi

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Lu, Zhiyong

• [ODIN] Automatic Cephalometric Landmark Localization on CBCT-Derived Digitally Reconstructed Radiographs for Skeletal Malocclusion Classification

Lu, Zilin

• [MedReason] Task-Routed Low-Rank Adaptation with Grounded Supervision for Medical Visual Question Answering
• [BraTS-Path] GLAD-Net: Adaptive Multi-Teacher Distillation of Vision Foundation Models for Fine-Grained Glioma Histopathology

Lubeck, Eric

• [COMPAYL] Beyond the capture area: Imputation of spatial gene expression from H&E

Lucas, Calixto-Hope G.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Ludera, Dominik

• [MIRASOL] A Low-Cost AI Stethoscope for Resource-Constrained Heart Murmur Screening

Luengo, Imanol

• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Lugli, Matteo

• [ODIN-challenges] Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT
• [ODIN] A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Lui, Yvonne W.

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Luijten, Gijs

• [ShapeMI] What Does Anatomical Shape Know About You? A Multi-Organ, Shape-Only Study of Demographic Prediction, Attribution, and Privacy
• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings
• [CAPI-WOMEN] A Multi-Site Label Trap in Shape-Based Endometriosis Detection: What Female Pelvic-Organ Shape Does (and Does Not) Encode

Lukin, Maksim

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Lumburovska, Leonida

• [DGM4MICCAI] Recovering Progression Beyond the Identity Shortcut: A Schrödinger Bridge Framework for Longitudinal Brain-MRI

Lumetti, Luca

• [ODIN-challenges] Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT

Lundberg, Timothy F.

• [EMA] Active few-shot segmentation by reinforcing data selection

Lungowe, Sililo

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Luo, Lei

• [MLMI] Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation
• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Luo, Mingyi

• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Luo, Shengda

• [CARE] Decoupling Supervision and Recoupling Context: Reliability-Aware Soft-Prior Learning for Myocardial Scar and Edema Segmentation
• [CARE] CIRSeg: Coarse-to-Fine Intensity-Robust Liver Segmentation with Source-Free Continual Test-Time Adaptation
• [CARE] AGSW-LAMS: Adaptive Gaussian Soft Windowing for Left Atrial Multi-Structure Segmentation

Luo, Tao

• [MLMI] Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation
• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Luo, Yung-Hung

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Luong, Christina L.

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation
• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Luu, Jennifer Y.

• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Lux, Laurin

• [GRAIL] Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images

Lv, Ang

• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Lv, Boyan

• [CARE] Stable Morphology, Unstable Deep Classifiers: Morphology-Guided Ranking in Unlabeled Liver MRI Cohorts

Ly, Buntheng

• [GRAIL] Topological Deep Learning on Graphs for Arrhythmia Risk Prediction From Images

Ly, Ousmane

• [AFRICAI] MoonScan: An AI-Based Clinical Decision-Support System for Chest X-Ray Analysis in a Low-Resource African Setting

Lynch, David A.

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Lysaker, Ola Marius

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Lyu, Daoming

• [MVAA] Modality-Aware Segmentation of Mitral Valve Anatomy in CT, 3D TEE, and Surgical Video

Lyu, Ilwoo

• [ShapeMI] Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation

Lyu, Mengye

• [MRIxFields2026] Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge
• [LISA] Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis
• [CARE] ROI-Guided Dual-Channel Data Construction and Ensemble Learning for Left Atrium Segmentation in the CARE 2026 Challenge

Lyu, Shangqin

• [HAIC26] Beyond One-Shot Interaction: Framing Pathology Human–AI Collaboration via Workflow Evidence

Lyu, Yanjun

• [MLMI] SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease
• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease

Lyu, Yilin

• [STACOM] MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction
• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins
• [CARE] A Transfer-Learned Segmentation-to-Staging Cascade for Robust Liver Fibrosis Staging on Real-World Multi-Vendor MRI

López Diez, Paula

• [iMIMIC] Anatomical Information or Domain Shortcuts? Probing Image- and Shape-Based Embeddings in Ear CT with Landmark-Derived Features
• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations

López Escamilla, Alexis Iván

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

López, Giselle Y.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

López-Linares Román, Karen

• [TIA] Anatomy-Aware MAE Pretraining for Generalizable Coronary Artery Segmentation
• [MLMI] Benchmarking Self-Supervised Pretraining Strategies for Chest X-Ray Triage and Out-of-Distribution Transfer

Löfstedt, Tommy

• [PedAItrics] Latent Space Oversampling for Adult–Pediatric Imbalance in Brain Tumor Segmentation

Löwenstein, Katja

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Lübberstedt, Jannik

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Lüthi, Nina

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections

M., Lakshminarayanan

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification

Ma, Baoqiang

• [iMIMIC] Less Annotation, More Interpretation: Prior-Guided Concept Bottleneck Models for Interpretable Cancer Imaging Diagnosis
• [MIART] PR3DICTR: a 3D Image-Based Deep Learning Prediction Modelling Framework and its Use in Radiotherapy
• [HECKTOR] Predicted Masks Throughout: A Cross-Center Generalizable Pipeline for Joint Head and Neck Tumor Segmentation, Staging, and Prognosis

Ma, Chen

• [FoundUS] USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement

Ma, Coty

• [ODIN] Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform

Ma, Jackie

• [UNSURE2026] Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation

Ma, Lingceng

• [CMRxRecon2026] Spatiotemporal Context-Informed Unrolled Complex Reconstruction Networks for 4D Flow MRI

Ma, Lixin

• [CMMCA] Pulmonary Vascular Fractal Dimension on Non-Contrast Planning CT as a Potential Imaging Biomarker for Early Radiation-Induced Lung Injury: A Multi-Scale Structural Analysis

Ma, Qi

• [ODIN] Teeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework

Ma, Rongze

• [MedReason] Task-Routed Low-Rank Adaptation with Grounded Supervision for Medical Visual Question Answering
• [MLMI] M-SFDA: Meta Network with Spatial Interaction for Source-Free Domain Adaptation in Prostate MRI Segmentation using Segment Anything Model

Ma, Ruiyu

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Ma, Ruizhe

• [MLMI] CirrGuide: A Deep Cascaded Framework for Liver Cirrhosis Segmentation and Severity Classification from T2-Weighted MRI

Ma, Shixing

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition
• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision
• [ASMUS] Medical Image Registration Metrics Examined for TRUS-Guided Prostate Interventions

Ma, Xihan

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Ma, Xinshuo

• [ODIN-challenges] Semi-Supervised Dental CBCT Report Generation via Entity-Aware Dual-Space Retrieval

Ma, YingLiang

• [STACOM] MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography Videos

Mabrok, Mohamed

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation
• [MLMI] Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

MacIntosh, Bradley

• [AIMS-TBI] A U-Net for Automated msTBI Lesion Segmentation

MacMahon, Peter

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI
• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

MacRae, Daniel C.

• [MIART] PR3DICTR: a 3D Image-Based Deep Learning Prediction Modelling Framework and its Use in Radiotherapy
• [MIART] More Comprehensive and Reliable Deep Learning Normal Tissue Complication Probability Models for Head and Neck Cancer Patients

Maccarone, Francesca

• [ShapeMI] Segmentation and keypoints transfer for volumetric medical shapes via functional maps
• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions

Machado, Aline Yoshida

• [MRIxFields2026] A U-Net++ Framework with Self-Supervised Pretraining for Low-to-High Field MRI Translation

Machara, Sai Manikanta Eswar

• [COMPAYL] CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology
• [ASMUS] Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Machnio, Julia

• [EMA] How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification

Machta, Yassine

• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Macias, Lorena Garcia-Foncillas

• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Macintyre, Alex

• [CMRxRecon2026] Spatiotemporal Context-Informed Unrolled Complex Reconstruction Networks for 4D Flow MRI

Madabhushi, Advait

• [AMPLIFAI] PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT

Madabhushi, Anant

• [REG2026] Reasoning as Retrieval: Template-Grounded Chain-of-Thought Report Generation from Whole-Slide Images
• [MedReason] A Parameter-Efficient Vision–Language System for Reasoning-Grounded Medical Visual Question Answering under Domain Shift
• [LISA] Overcoming Low Signal and Scarce Data: Quality Assessment, Enhancement, and Segmentation of Ultra-Low-Field Pediatric Brain MRI
• [HEADLINE] Low-Rank Adaptation of a 3B Vision-Language Model for Head-CT Report Generation: HEADLINE 2026
• [BraTS-Path] Leakage-Free Patient-Grouped Evaluation of Frozen Pathology Foundation Models for Long-Tailed Glioma Sub-region Classification
• [BraTS-PEDs] Brain Extraction, Residual-Encoder Ensembling and Metric-Aware Component Filtering for Pediatric Brain Tumor Segmentation
• [BraTS-METS] A Residual-Encoder nnU-Net Baseline for Pre- and Post-Treatment Brain Metastasis Segmentation
• [AMPLIFAI] PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT
• [AIMS-TBI] Single-Model Lesion Detection and Segmentation for Moderate–Severe Traumatic Brain Injury on T1-weighted MRI

Madapati, Kaushik

• [MAMA-SYNTH] When Regression Beats Generation: Virtual Contrast-Enhanced Breast MRI and What Its Metrics Reward

Madhavi Latha, Gundamaraju

• [iMIMIC] How Well Do Chest X-Ray VLM Attention Overlays Match Radiologist Boxes? A Cross-Model Audit and Radiologist Reader Study

Maes, Frederik

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information
• [HAIC26] Characterizing Global and Local Model Behavior in Interactive Segmentation

Maffei, Chiara

• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Maga-Nteve, Christoniki

• [TIA] Anatomy-Aware MAE Pretraining for Generalizable Coronary Artery Segmentation

Magat, Julie

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Magg, Caroline

• [AMAI] Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Maggioli, Filippo

• [ShapeMI] Segmentation and keypoints transfer for volumetric medical shapes via functional maps

Maghsoodi, Nooshin

• [iMIMIC] P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

Magness, Alastair

• [COMPAYL] Morphospatial Phenotyping of p21-Positive Hepatocytes in Chronic Liver Disease

Magnier, Baptiste

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Mahapatra, Dwarikanath

• [TIA] Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation

Mahapatra, Ritvik

• [HAIC26] IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets

Mahbubur Rahman, AKM

• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Maheshwari, Devesh

• [CLIP] GLR-MM: Graph-Based Global–Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities

Mahiou, Yanni

• [TIA] Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
• [TIA] Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Mahjoub, Mohamed Ali

• [MLCN-2026] Heterogeneous Reservoir Dynamics Reveal Disease-Specific Temporal Fingerprints
• [GRAIL] MetaCBT: A Multi-Layer Connectional Brain Template for Reproducible Population-Level Biomarker Discovery

Mahmood, Hassan

• [EchoRisk] EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

Mahmoud, Zachary

• [ODIN-challenges] Resource-Aware Retrieval Baselines for CBCT-to-Report Generation in ToothFairy4

Mahtab, MD Ajmain

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities

Mahé, Youwan

• [EMA] StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Mai, Van

• [AMAI] A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Maier, Andreas

• [TopAneu] Vessel-Guided Aneurysm Localization and Segmentation for TopAneu 2026
• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation
• [REG2026] Reporting Without Generating: Retrieval-Based Chain-of-Thought Answering for Pathology
• [OMIA] Retina-RAG: Retrieval-Augmented Vision–Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation
• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts
• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis
• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions
• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics
• [BraTS-Path] Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

Maier-Hein, Klaus H.

• [MAMA-SYNTH] Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans
• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology
• [CARE] Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI
• [AIMS-TBI] Evaluating Large-Scale Pretraining and Auxiliary Training Data for T1-only TBI Lesion Detection and Segmentation in the AIMS-TBI 2026 Challenge

Maierhofer, Pascal

• [STACOM] Beyond the Left Atrium: Joint Generative Modeling of Bi-Atrial Anatomy

Maik, Vivek

• [ShapeMI] KneeFlow: A Flow Matching Framework for Patient-Specific Knee Reconstruction
• [MLMI] PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs
• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Mair, Grant

• [SWITCH] Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Majeed, Marwan M.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Majumdar, Sharmila

• [RHEUM-AI] Interpretable Counterfactual Simulation of Knee Osteoarthritis Progression from qMRI Biomarkers

Makarov, Ilya

• [SynthOCT] Speckle-Phase Refinement on an Exact Differentiable Scanner Twin for Inverse OCT Phantom Generation
• [FoundUS] TABS: Transfer-Aware Backbone Selection for Cross-Centre Ultrasound Biometry
• [CMRSeg] An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Makgasane, Magnus Tiiso

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Makris, Dimitrios

• [COMPAYL] Bidirectional Translation Between ISH and H&E Glioblastoma Tissue Sections via Attention-Enhanced CycleGAN
• [BraTS-Path] Rare-Class Conditional Routing with Foundation Model Representations for Glioma Histologic Sub-region Classification
• [BraTS-Path] Ensemble of Pathology Foundation Models for Fine-Grained Histologic Classification of Glioma

Maksudov, Bulat

• [EMERGE] Evaluating Concept-guided Visual Counterfactual Generation in Medical Imaging

Maldiney, Thomas

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Malec, Sylwia

• [BrainWorks] Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net

Maleckar, Mary M.

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Malik, Hashmat Shadab

• [SAFER] CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

Mallet, Chloe

• [CAPI-WOMEN] Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints

Maloca, Peter M.

• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations

Malpica, Norberto

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction
• [MIART] Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy
• [MIART] SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation
• [BraTS-Inpainting] RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Malvehy, Josep

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Mamaye, Yimer

• [MIRASOL] Gaussian Regularized Spatial Masking for Enhanced Malaria Blood Smear Augmentation in Resource-constrained Settings

Manabe, Taiki

• [LISA] Slice-Based 2D Transfer Learning Outperforms 3D-From-Scratch for Quality Assessment of Ultra-Low-Field Neonatal MRI

Manali, Nikhil

• [CLIP] GLR-MM: Graph-Based Global–Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities

Mandal, Subhamoy

• [TREAT-MMTB] Prevalence-Aware Rank Fusion for Tuberculosis Cavity Detection and Segmentation
• [MultiTab] Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification
• [AMPLIFAI] Shortcut-Aware Validation for LI-RADS Categorisation on Multi-Phase CT

Mandic, Danilo

• [STACOM] Characterising cardiac tissue properties with graph neural networks

Mangesius, Stephanie

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Mangipudi, Siddharth

• [TIA] X2V: Deformable 2D/3D Registration from Intraoperative X-ray to Volume via Motion Manifold Learning

Mangold, Maurin Helen

• [ASMUS] Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI

Manjón, José

• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Mansencal, Boris

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs
• [BrainWorks] Hierarchical Differential MedViT-3D: Specialized Hybrid Transformer for Multiclass Diagnosis of Neurodegenerative Diseases

Mansi, Tommaso

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Mansilla, Lucas

• [MIRASOL] Label-Free Foundational Model Selection for Medical Image Classification under Distribution Shift via Pseudo Label Discrepancy

Manyanda, Letso Jessica

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Mao, Wenyue

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Mao, Yuncong

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Maor-Sagie, Esther

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes

Maqsood, Arooba

• [AMAI] Modeling Abnormality as Semantic Deviation for Few-Shot Medical Anomaly Detection
• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Maralyan, Anush

• [MLCN-2026] Automated Segmentation and Height Measurement of Pituitary Gland

Marca, Ronald

• [LISA] Rigor over Novelty in Ultra-Low-Field Pediatric Brain MRI: Quality Control and Subcortical Segmentation for the LISA Challenge 2026

Marchand, Tanguy

• [TopAneu] VaMosV2: A Multi-step Procedural Model That Generates Full 3D Synthetic MRA Volumes for Data Augmentation in the TopAneu ICA Segmentation Challenge

Marchesini, Kevin

• [ODIN-challenges] Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT
• [ODIN] A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Marias, Kostas

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [DEMI2026] The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI
• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Marinescu, Razvan

• [Off-Grid] K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

Marinov, Zdravko

• [ADSMI2024] Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods

Markale, Ameya

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Marquand, Andre F.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Marquering, Henk A.

• [UNSURE2026] Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Marques, Oge

• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Marques, Tiago

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Marquez-Sosa, Maria

• [TIA] TrICON: Learning Diffeomorphic Lung CT Registration through Triplet Consistency

Marr, Carsten

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis
• [AIIG2024] Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

Marraffino, Lianna

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models

Marras, Mirko

• [HemaRAI] Comparing Centralized and Federated Learning for ECG-Based Chagas Disease Detection

Marrouche, Nassir

• [MWM] Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Marrus, Natasha

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Marshall, Andrew

• [MLMI] Improving Medical Image Generative Models with Fréchet Distance Loss

Marshall, Helen

• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Marsico, Annalisa

• [MedAgent] HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition

Martel, Anne L.

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models
• [AMPLIFAI] Clinically-grounded Multiphasic Modeling for Interpretable LI-RADS Categorization

Marti, Joan

• [Deep-Brea3th] Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation

Martin, Garance

• [TIA] Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study
• [TIA] Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Martin, Jonathan B.

• [LISA] LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MRI

Martin, Nicolas

• [ODIN] Comparing Pretraining Strategies for Intra-Oral Image Analysis Under Limited Annotation Budgets

Martin-Bautista, Maria J.

• [MIRASOL] Eyes on diet: a low-resource framework connecting diabetic retinopathy screening to regional nutritional guidance

Martinez, David A.

• [ISLES] Residual-Encoder nnU-Net with Small-Component Filtering for Multi-Site Stroke Lesion Segmentation in T1-weighted MRI

Martinez, Juan Andrés

• [OMIA] Counting Is Not Enough: Spatially Explicit Formulations for AOSLO Cone Photoreceptor Quantification

Martins, André F.

• [UNSURE2026] Does Inter-Rater Variability Matter? Preclinical MRI Tumor Segmentation and Downstream Analysis

Martí, Robert

• [Deep-Brea3th] Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation
• [ADSMI2024] CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Martínez-Arias, Paola

• [MLMI] Benchmarking Self-Supervised Pretraining Strategies for Chest X-Ray Triage and Out-of-Distribution Transfer

Maruccio, Federica

• [MIART] Which Edits Matter? Simulating Realistic Local Corrections to Organ-of-Interest DL Segmentation and Predicting Dosimetric Impact

Marzullo, Aldo

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Masad, Roee

• [MWM] Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model Pipelines

Masci, Pier-Giorgio

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank
• [STACOM] Cardiac Shape-Derived Endophenotypes and Covariant Correction using Statistical Motion Atlases

Masek, Martin

• [UNSURE2026] Not All Errors Are Equal: Threshold-Aware Loss Functions for Opportunistic Osteoporosis Screening

Mashayekhi, Behnood

• [MLMI] LEEWAY: Same Anatomy, Same Score, Different Verdict Using Paired Falsification Tests in Dental CBCT

Masilamani, V. G.

• [AIMS-TBI] Hybrid Ensemble with Multi-Patch Fine-Tuning for Traumatic Brain Injury Segmentation

Maso Talou, Gonzalo D.

• [Deep-Brea3th] Quality-Aware Multi-class Breast MRI Segmentation Workflow

Maspero, Matteo

• [PedAItrics] Sequence-Agnostic MRI Segmentation of Pediatric Renal Tumors for Postoperative Flank Irradiation

Mass, Virginia

• [ASMUS] Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

Masse, Mathilde

• [CaPTion] Probability-Based Lesion-Aware FN/FP Loss for Whole-Body PET/CT Tumor Segmentation

Massin, Pascale

• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices

Masterl, Ema

• [PIPPI] Automated Fetal Brain MRI Biometry in Healthy and Pathological Cases

Mastmeyer, Andre

• [UNSURE2026] Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift

Mata Miquel, Christian

• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Matei, Claudiu

• [BraTS-PEDs] NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Matei, Teodor Ionut

• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

Mathai, Tejas S.

• [AMAI] Stratified Iterative Learning for Kidney Cortex and Medulla Segmentation Across Healthy and Pathological Kidneys on Contrast-Enhanced CT
• [AMAI] Mesenteric Arterial Vessel Segmentation in Abdominal CT with Small Bowel Obstruction

Mathenge, Ciku Wanjiku

• [AFRICAI] Beyond External Validation: Evaluating the Deployment Readiness of Medical Imaging AI in an African Clinical Context through Diabetic Retinopathy Screening

Mathieu, Jacques R. R.

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Mathis-Ullrich, Franziska

• [CAPI-WOMEN] Evaluating the Prompt-to-Automation Gap: A Comprehensive Benchmark for Laparoscopic Endometriosis Segmentation
• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Mathur, Prateek

• [SASHIMI] Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI
• [EMERGE] Label-Efficient Multimodal Microsleep Forecasting via Interpretable Disagreement-Driven Active Learning
• [DT4H] From Treatment Choices to Tumour Trajectories: Proof-of-Concept in Preference-Aware Agentic Simulation for Digital Twins
• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Matovu, Steven Ziritwawula

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Matsopoulos, George K.

• [MIART] Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning
• [MIART] An Uncertainty-Guided Multi-Scale SwinUNETR Framework for 3D Larynx Segmentation in CT
• [MAMA-SYNTH] DARE: Dilated Anatomy-Anchored Residual Enhancement for Virtual Contrast Synthesis in Breast DCE-MRI
• [FoundUS] Self-Supervised Domain Adaptation with DINOv2-HRNet for Multi-Task Ultrasound Landmark Detection

Matsuda, Hideo

• [ADSMI2024] Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages

Matsuo, Shinnosuke

• [AMAI] Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

Matthews, Paul M.

• [MultiTab] MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer’s Prediction

Mattos, Claudia Trindade

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Matveev, Lev

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Matveyev, Alexander

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Mauger, Charlène A.

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank
• [STACOM] Cardiac Shape-Derived Endophenotypes and Covariant Correction using Statistical Motion Atlases

Maurya, Satyajit

• [BraTS-GoAT] Self-Supervised Pretraining for Generalizable Brain Tumor Segmentation in the BraTS-GoAT Challenge

May, Matthias Stefan

• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Maya, Harikrishnan Anil

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Mayer, Arnaldo

• [SAFER] Priors Over Pixels: Present-Bias in Organ-Presence Grounding for Medical VLMs

Mayr, Agnes

• [MVAA] Multi-Modal Mitral Valve Anatomy Analysis: Supervised and Semi-Supervised Segmentation Across CT, Ultrasound, and Surgical Video

Mayr, Martin

• [BraTS-Path] Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

Mazal, Alejandro

• [MIART] Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy

Mazandarani, Farzan Niknejad

• [BrainWorks] RBT-Faz: Register-Bottleneck 3D Swin-UNETR with Clinical Text Alignment for Ordinal Fazekas Grading from FLAIR MRI

Mazher, Moona

• [MVAA] ValveMix: A Unified Semi-Supervised Framework for Multimodal Mitral Valve Anatomy Segmentation
• [CMRSeg] CardioMix: A Unified Framework for Multi-Sequence and Multi-View Cardiac MRI Segmentation

Mazighi, Mikael

• [MI4MedFM] Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Mazur, Alexander

• [MedAgent] AgentFL-Bench: Benchmarking Small Language Models for Fairness Governance in Federated Clinical AI

Mburu, Nelson

• [UNSURE2026] When Does Prompt-Perturbation Uncertainty Catch Interactive-Segmentation Failures? An Empirical Study on SAM/MedSAM

McCabe, John

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

McClelland, Jamie R.

• [MIART] Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

McDermott, Edward

• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

McDonagh, Steven

• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

McGill, Sarah

• [ShapeMI] Medial Skeletons for Haustral Fold Detection in Colonoscopy

McGinnis, Julian

• [Off-Grid] Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion

McGowan, Daniel R.

• [CaPTion] PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

McKinstry, Robert C.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Mechsner, Sylvia

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning

Mechtouff, Laura

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging

Medellin-Robles, Rodrigo

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot
• [FoundUS] Multi-Task Landmark Detection for Fetal and Cardiac Ultrasound Biometry under Label Scarcity
• [ASMUS] From Oracle Boxes to Automatic Prompts: Benchmarking Frontier Foundation Models for Thyroid Ultrasound Segmentation

Medghalchi, Yasamin

• [MIRASOL] WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification

Medhat, Bassant

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation

Medrea, Sebastian

• [BraTS-PEDs] LoG-Augmented nnU-Net Ensemble for Pediatric Brain Tumor Segmentation

Meena, Ashish Kumar

• [MLMI] Augmentation Strategy for DINO in Glaucoma Classification

Meenakshi

• [MISO] IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

Megas, Stathis

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Megne Choudja, Pauline Ornela

• [MIART] Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

Megyeri, Istvan

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation

Mehanian, Courosh

• [MIRASOL] Beyond validation loss: Clinically-tailored metrics for hyperparameter optimization improve a model’s clinical performance

Mehdipour Ghazi, Mostafa

• [EMA] How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification
• [BraTS-Inpainting] CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

Mehindiratta, Amit

• [CARE] Iterative Human-in-the-Loop Learning for Accurate Segmentation of Liver

Mehmood, Yasar

• [HECKTOR] Deep Learning-Based Segmentation and Feature-Based Clinical Prediction for Head and Neck Cancer

Mehra, Aparna

• [MIRASOL] Local Audit Certification of Transferred Medical Imaging Models in Resource-Constrained Settings

Mehrabian, Ali

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation

Mehta, Deval

• [FAIMI-BRIDGE-EPIMI] What is AI to Us: Exploring Patient Values in Integrating AI for Epilepsy Management

Mehta, Raghav

• [STACOM] GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification
• [FAIMI-BRIDGE-EPIMI] Counterfactual Stress Testing for Image Classification Models
• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification
• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Mei, Bochun

• [CMRxRecon2026] Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction

Mei, Siyuan

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Meiler, Stefanie

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Meine, Hans

• [EMA] Segmentation Without Full Logits: Fused Kernels for Memory-Efficient Many-Class Models
• [EMA] RadYOLO: Computationally Efficient 3D Object Detection and Segmentation in CT and MRI

Meister, Felix

• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

Melacini, Giacomo

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Melbourne, Andrew

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Melek, Alaa

• [TIA] Interpretable Region-wise Gated CT–Ventilation Fusion for FEV1 Prediction in COPD
• [FAIMI-BRIDGE-EPIMI] Multiple Shortcut Pathways in Mammography-Based Breast Cancer Risk Prediction

Mellert, Julia

• [MVAA] Multimodal Mitral Valve Segmentation: Mesh-Based 3D and Depth-Transfer Learning

Melo, Tânia

• [TIA] Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation
• [TIA] Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies

Meloni, Ilenia

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Meltem, Emine

• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Melzi, Simone

• [ShapeMI] Segmentation and keypoints transfer for volumetric medical shapes via functional maps
• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions

Men, Qianhui

• [HAIC26] Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers

Men, Zihan

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Menard, Thomas

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Mendes, Jason

• [STACOM] Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2 and T1ρ MRI

Mendes, Rita

• [ML-CDS2026] Multimodal and Longitudinal Modeling for Predicting Alzheimer’s Disease Progression

Mendonça, Ana Maria

• [TIA] Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation
• [TIA] Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies

Menegaki, Olga

• [MIART] An Uncertainty-Guided Multi-Scale SwinUNETR Framework for 3D Larynx Segmentation in CT

Meng, Hui

• [CMRxRecon2026] Curriculum Learning and ROI-Aware Supervision for Highly Accelerated 4D Flow MRI Reconstruction

Meng, Jia

• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Meng, Mingyuan

• [CMRSeg] View-Specialized Hybrid Segmentation for Multi-View Cardiac MRI: Combining nnU-Net, CineMA, and Scar-Elastic Refinement

Meng, Nan

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Meng, Xinling

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Menon, Arya Pradeep

• [BraTS-Path] Ensemble of Pathology Foundation Models for Fine-Grained Histologic Classification of Glioma

Mensing-Diggs, Amanda

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Menten, Martin J.

• [GRAIL] Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images
• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Menze, Bjoern

• [SWITCH] An Imaging-Informed Reaction-Diffusion Model of Infarct Growth
• [SWITCH] X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA
• [Off-Grid] Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion
• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts
• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks
• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Menzel, Marion Irene

• [RIME] STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising

Merhof, Dorit

• [cdmri] Spatial Masked-Set Learning for Sparse Multi-Shell Diffusion MRI Signal Synthesis
• [MLMI] MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
• [COMPAYL] HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology
• [COMPAYL] FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology
• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Meriaudeau, Fabrice

• [ISLES] From Baseline to Bilateral Asymmetry: A Systematic nnU-Net Comparison for Ischemic Stroke Lesion Segmentation in ISLES’26
• [Deep-Brea3th] Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer

Merienne, Frédéric

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Merrouni, Zakariae Alami

• [AFRICAI] Federated Learning under Combined Clinical Heterogeneity: Evaluation Protocol and Inter-Site Equity

Mert, Gizem

• [AIIG2024] Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

Mertens, Marlene

• [MLMI] Knowledge-injection for small-cohort medical image learning

Merveille, Odyssée

• [ShapeMI] Learning to Reconnect: Graph-based Path Classification for Restoring Retinal Vessel Segmentation Connectivity

Meschack-Augustin, Cirubyankabagurhi Njuci

• [MIRASOL] MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI

Metz, Marie-Christin

• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver

Metzger, Vivian

• [BraTS-GoAT] Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

Meyer, Anneke

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Meyer, Jan

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks

Meyer, Maria Ines

• [HAIC26] Characterizing Global and Local Model Behavior in Interactive Segmentation

Meyer, Philippe

• [BraTS-GoAT] Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

Meyer-Baese, Anke

• [SASHIMI] MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

Mfetane, Ofile Seneo

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Mi, Junsheng

• [MRIxFields2026] Modality-Adaptive Contrastive and Supervised Learning for Multi-Field MRI-to-7T Synthesis

Mian, Ajmal

• [BrainWorks] Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Miccolis, Francesca

• [COMPAYL] Unified Multimodal Fusion for Cancer Survival Prediction: A Missing-Robust Framework across Histopathology, Radiology, Genomics, and Clinical Data

Michael-Ahile, Terhemba

• [AFRICAI] Improving Feature Representations for Few-shot Classification of Neglected Tropical Diseases on Dark Skin Tones

Michel, Maurice Stephan

• [ASMUS] Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI

Middeljans, Haiko

• [DEMI2026] Quality-Controlled Keyframe Sampling using Endoscopic Foundation Models

Mienkina, Martin

• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Miften, Moyed

• [HECKTOR] HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

Miga, Michael I.

• [DT4H] Modeling Progression of Microwave Ablation Volumes by Neural Surrogates

Migas, Lukasz G.

• [MISO] IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

Mihalef, Viorel

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation

Mikhailenko, Daniil

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Mikolaj, Kamil

• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Milanesi, Nadia

• [BraTS-METS] Ensemble nnU-Nets for pre- and post-operative Brain Metastases Segmentation in BraTS 2026 Task 1

Milecki, Leo

• [LISA] A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging

Mileo, Alessandra

• [OMIA] Towards a Robust and Explainable Pipeline for Diabetic Retinopathy Classification through Quality-Aware GenAI Image Restoration
• [EMERGE] Evaluating Concept-guided Visual Counterfactual Generation in Medical Imaging

Miles, Elizabeth

• [MIART] Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

Miles, Randy C.

• [Deep-Brea3th] Beyond 3D Convolutions: A 4D Spatiotemporal Transformer-Based Network for Capturing Vascular Kinetics in Neoadjuvant Chemotherapy Response Prediction

Miletić, Hrvoje

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Miller, Frank H.

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Miller, Michael L.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Miltiadous, Andreas

• [STACOM] Silent Failures of Right-Ventricular Ejection Fraction at High Segmentation Overlap: Evidence from Multi-Vendor Cardiac MRI

Min, Pengxiang

• [TopAneu] Anatomy-Aware Intracranial Aneurysm Analysis with Vessel-Guided Dual-Decoder Multi-Task Learning

Min, Zhe

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition
• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision
• [ASMUS] Medical Image Registration Metrics Examined for TRUS-Guided Prostate Interventions

Minaba, Sêgnimaké Tatiana Carine

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Mindroc-Filimon, Diana

• [Deep-Brea3th] Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations
• [COMPAYL] Thumbnail-Based Tile Selection for Efficient Whole-Slide Image Classification in Resource-Limited Pathology

Ming, Dong

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Ming, Zuheng

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Mirabet-Herranz, Nélida

• [DGM4MICCAI] Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis

Miralles, Gauthier

• [EMA] Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

Miranda, Felicia

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes

Miranda, Maria A. K.

• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Mireles, Miguel

• [Deep-Brea3th] Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations

Mirzaei, Simin

• [MLMI] CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Misghina, Semhar B.

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR

Misharin, Alexander

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Mishra, Aviral

• [MedAgent] CLAP-4-QnA: An Agentic Graph-RAG Pipeline for SNOMED-CT-Grounded Clinical Question Answering

Mishra, Deepak

• [EMERGE] Relational Learning of Temporal and Semantic Clinical Structured EHRs for Enhanced Patient Outcome Forecasting

Mishra, Saksham

• [FoundUS] Domain-Generalised Ultrasound Biometry via FiLM-Conditioned Multi-Task Landmark Detection with Progressive Semi-Supervised Learning

Mishra, Siddhant

• [MI4MedFM] The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Misra, Sampa

• [TREAT-MMTB] GO-CavNet: Ordinal-Supervised, Detection-Gated Cavity Segmentation for Tuberculosis Chest Radiographs
• [TREAT-MMTB] Class-Weighted Metadata-Aware Ark+ Fusion for Multimodal Tuberculosis Classification

Missihoun, Jonathan Suru

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa

Mistry, Jigneshkumar

• [MLMI] Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration

Mitani, Katsuya

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Mitsis, Georgios D.

• [ISLES] Ranking-aware model selection for stroke lesion segmentation

Mittal, Prateek

• [PIPPI] Shape-DNA Spectral Analysis of Lesion Morphotypes in Paediatric-Onset Multiple Sclerosis
• [MedAgent] CLAP-4-QnA: An Agentic Graph-RAG Pipeline for SNOMED-CT-Grounded Clinical Question Answering
• [FAIMI-BRIDGE-EPIMI] Gradient Erasure and Contributory Injustice in Federated Medical Imaging AI
• [BrainWorks] Direct Mask-Perturbation Auditing for Geometry-Derived Brain Lesion Biomarkers

Miyoshi, Hiroaki

• [COMPAYL] Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space

Mlotshwa, Sharon

• [MIRASOL] Effect of Pretrained Initialisation and Component-Wise Tuning on Lightweight VLMs for Ultrasound Report Generation

Mobadersany, Pooya

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Mocanu, Irina

• [MLMI] Data leakage and external validation in lung CT segmentation
• [Deep-Brea3th] A Multi-Stage Deep Learning Framework for the Automated Assessment of Mammographic Microcalcifications

Moccia, Sara

• [RHEUM-AI] Towards Multi-Task Ordinal Grading of Knee Osteoarthritis and Calcium Pyrophosphate Deposition Using Vision Foundation Models

Modanwal, Gourav

• [AMPLIFAI] PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT

Modard, Philippe

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Modi, Ura

• [SynthOCT] Coherent Differentiable Inversion for High-Fidelity Digital Phantom Generation in Optical Coherence Tomography
• [MedReason] Answer Readout as a Major Confounder in Medical Multiple-Choice Visual Question Answering

Modu, Falmata

• [AFRICAI] Resource-Efficient Knowledge Distillation via Simulated Annealing for Lightweight Breast Cancer Detection

Moemeni, Armaghan

• [DEMI2026] Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Moerane, Aobakwe

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Moghbelan, Yasamin

• [AMAI] Association of Cardiovascular Risk Factors with Segmentation-Free Motion-Derived Coronary Artery Dynamics

Mohamed Abdelhalim, Hagar

• [MIRASOL] Compact Radiomics-Guided FiLM Conditioning for Ultrasound-to-MRI Translation

Mohamed, Alaa

• [CLiMeM] An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

Mohamed, Habiba

• [FAIMI-BRIDGE-EPIMI] Multiple Shortcut Pathways in Mammography-Based Breast Cancer Risk Prediction

Mohamed, Maram A.

• [EMERGE] Label-Efficient Multimodal Microsleep Forecasting via Interpretable Disagreement-Driven Active Learning

Mohammadi, Arash

• [MIART] Mammo-LIFE: Longitudinal Mammographic Imaging and Clinical Feature Enrichment for Post-Radiotherapy Outcome Prediction

Mohammadi, Siawoosh

• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections
• [cdmri] In-Plane Super-Resolution: A Feasibility Study

Mohammed, Khadijah

• [UNSURE2026] When Voxels Are Not Equal: Spacing-Driven Metric Bias and Metric Uncertainty in Segmentation

Mohanraj, Aravindhan

• [AIMS-TBI] Hybrid Ensemble with Multi-Patch Fine-Tuning for Traumatic Brain Injury Segmentation

Mohebi, Mobin

• [CaPTion] Probability-Based Lesion-Aware FN/FP Loss for Whole-Body PET/CT Tumor Segmentation

Mojica, Mia

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Mojtabai, Mariam

• [MLCN-2026] Implicit Neural Representations for Modeling the Accumulation of Tau Protein in the Brain

Mojtahedzadeh, Amirmahdi

• [BraTS-METS] Region-Aligned Training and Target-Specific 2D–3D nnU-Net Fusion for BraTS 2026 Brain Metastasis Segmentation

Mokhtari Saghafi, Aryan

• [ShapeMI] Interpretable Obstructive Sleep Apnea Screening from MRI-Derived Upper-Airway Surface Morphology with Class Node Graph Attention Networks

Mokua, Cliff

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings

Molino, Daniele

• [SASHIMI] Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching

Molloy, Kameron R.

• [MISO] IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

Mondal, Proloy Kumar

• [MLMI] HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

Mondol, Prosenjit

• [MIRASOL] A Sensitivity-Gated Cascade for Compute-Efficient Spinal Lesion Detection in Resource-Constrained Settings

Moniruzzaman, MD

• [EchoRisk] EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

Montaha, Sidratul

• [MVAA] When Does Unlabelled Data Help? A Shift-Aware Semi-supervised Study of Multimodal Mitral Valve Segmentation

Montal, Robert

• [CaPTion] Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology

Montalvo-García, David

• [CARE] Shared Multimodal Learning with Anatomical Pretraining for CT and MRI Whole-Heart Segmentation

Montana, Giovanni

• [SAFER] Faithful Reasoning, Not More Reasoning: Chain-of-Thought Ablation for Tuberculosis Findings in Indonesian Chest X-Rays
• [EMA] Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled Vision-Language Models

Montano, Florian

• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

Monteiro, Carla

• [TIA] Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation
• [MLMI] Representation Matters: Rethinking Domain Generalization in Polyp Segmentation

Montoya-del-Angel, Ricardo

• [Deep-Brea3th] Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation
• [ADSMI2024] CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Montuenga, Luis M.

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Monzon, Maria

• [EMA] Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

Moon, Jong Hak

• [MultiTab] Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction

Moore, Ann Zenobia

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Moore, Stephen

• [RIME] Contrast-Reversal Augmentation for Adult-to-Neonatal MR Image Reconstruction: Pretraining and Fine-Tuning Strategies

Moos, Shira

• [UNSURE2026] Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Moosivand, Saeed

• [MedReason] A Task-Routed Hybrid Vision–Language System for Medical Visual Question Answering, and a Calibrated Analysis of the Open-Ended Reasoning Ceiling
• [FoundUS] Encoder Capacity Is the Binding Constraint in Unified Multi-Task Ultrasound Landmark Detection

Mora-Vaca, Leidy

• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Moradi, Elaheh

• [DeCaF] LAFFS: LASSO Assisted Federated Feature Selection

Moradi, Mehdi

• [MLMI] HyperPatch: Hypercolumns for Transformer Backbones in Medical Segmentation

Morales, Hernán G.

• [STACOM] TT3D: Triangular Transport for 3D Left Ventricle Reconstruction

Morales-Garzón, Andrea

• [MIRASOL] Eyes on diet: a low-resource framework connecting diabetic retinopathy screening to regional nutritional guidance

Moran, Yehudhah Kennedy Rodríguez

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Morand, Oscar

• [ShapeMI] Learning to Reconnect: Graph-based Path Classification for Restoring Retinal Vessel Segmentation Connectivity

Morandat, Floréal

• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Moraros, John

• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Mordhorst, Laurin

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections
• [cdmri] In-Plane Super-Resolution: A Feasibility Study

Moreau, Juliette

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging

Moreira, Pedro

• [DGM4MICCAI] Recovering Progression Beyond the Identity Shortcut: A Schrödinger Bridge Framework for Longitudinal Brain-MRI

Moreno Casado, Xabier

• [DGM4MICCAI] Large-Volume Conditioned 3D Latent Diffusion Models for CT Metal Artifact Suppression

Moreno, Rodrigo

• [MAMA-SYNTH] Tumor-Aware Conditional Pix2PixHD with Per-Image Normalization for Virtual Contrast Enhancement in Breast MRI
• [BraTS-Inpainting] Retrieval-Augmented Wavelet Diffusion for Local Synthesis of Healthy Brain Tissue
• [ADSMI2024] Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

Mori, Kensaku

• [MLMI] Reducing False Positives in Pancreatic Tumor Segmentation via Multi-Scale Texture Enhancement and Curriculum Learning
• [ELAMI] Sliding window-based local feature extraction for findings reports generation from longitudinal 3D CT volumes
• [ELAMI] Balancing Retrieved Evidence for 3D CT Report Generation

Morier, Maëlis

• [STACOM] Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction

Moris, Eugenia

• [MedAgent] Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline

Morol, Md Kishor

• [MI4MedFM] Which Reliability Signal to Trust? Output vs. Representation Space Uncertainty Under Distribution Shift in Pathology Foundation Models
• [AMAI] Explainable and Uncertainty-Aware Chest X-ray Classification with Selective Referral

Morris, Byron John

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Morrison, David

• [EMA] Nine Dimensions Are Enough for Patch-Level Classification with Histopathology Foundation Model Embeddings

Morsy, Ahmed

• [HemaRAI] Task-guided Hierarchical Multi-stain CycleGAN with Contrastive Learning for Robust White Blood Cell Classification

Morton, Sarah U.

• [GRAIL] Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

Mosquera Rojas, Gonzalo Esteban

• [AFRICAI] Do Medical Foundation Models Generalize on the African Brain?

Mouchère, Harold

• [Off-Grid] Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning

Mougiakakou, Stavroula

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT
• [MedAgent] EndoRAG: An Agentic Retrieval-Augmented Generation Framework for Endocrinology Question Answering

Mouheb, Kaouther

• [AFRICAI] Do Medical Foundation Models Generalize on the African Brain?

Moulin, Kevin

• [CMRxRecon2026] CUT-4DFlow for Accelerated 4D-Flow MRI Reconstruction

Mourão, Mariana

• [Deep-Brea3th] Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Mousavi, Parvin

• [iMIMIC] P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing
• [COMPAYL] DreaMS-Align: Zero-Shot Spectrum-Embedding Surrogates for Scalable WSI-MSI Co-registration

Moustapha, Mohamed-Wali Ahmed

• [SASHIMI] Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy

Movva, Neeraj Sai Venkat

• [UNSURE2026] When Does Prompt-Perturbation Uncertainty Catch Interactive-Segmentation Failures? An Empirical Study on SAM/MedSAM

Mowry, Ellen M.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior

Mozumder, Md Ariful Islam

• [REG2026] PathChain: Reproducing the Pathologist’s Diagnostic Workflow from Whole-Slide Images
• [ODIN] Fluency Is Not Faithfulness: Diagnosing and Repairing Confabulation in LLM Report Generation on ToothFairy4 CBCT

Muchuchuti, Stewart

• [MIRASOL] Clean AUC Is Not Enough: Architecture-Specific Failure Modes of Tuberculosis Classifiers under Digitisation Artifacts

Mudaliar, Tanish

• [CARE] Improving Cross-Site Whole-Heart Segmentation

Mueller, Andreas A.

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Mugu, Vamshi K.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Mugume, Paul Okwija

• [AFRICAI] Afro-FetalNet: Fetal Plane Classification for Low-Resource African Settings

Muhammad, Abbas Rabiu

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction
• [MIRASOL] Fairness and Cross-Regional Generalizability of State-of-the-Art Glioma Segmentation Models: Evaluation Across African and Global Cohorts

Muhammad, Kabir Hamzah

• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Muhammad, Muhammad Inuwa

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Muhammad, Nafiu Musa

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Mukamakuza, Carine

• [MIRASOL] CoSWA-YOLOv12: Scale-Invariant Tiny Object Detection and Segmentation of Malaria Parasites
• [AMAI] On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation
• [AFRICAI] Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification
• [AFRICAI] Afro-FetalNet: Fetal Plane Classification for Low-Resource African Settings

Mukherjee, Rupam

• [MultiTab] Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification

Mukuka, Kangwa E.

• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia

Mulay, Supriti

• [MLMI] Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration

Mulhem, Philippe

• [ODIN] Comparing Pretraining Strategies for Intra-Oral Image Analysis Under Limited Annotation Budgets

Mumuni, Abdul Nashirudeen

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Mundt, Marion

• [UNSURE2026] Not All Errors Are Equal: Threshold-Aware Loss Functions for Opportunistic Osteoporosis Screening
• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Muneshwar, Akash

• [BraTS-Inpainting] Enhanced 3D U-Net for BraTS Local Synthesis: Attention, Deep Supervision, and Edge-Aware Inpainting

Munia, Nusrat

• [ADSMI2024] DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis

Munir, Mustafa

• [DEMI2026] Subspace-Based Auditing of Bottlenecks in Retinal Fundus Foundation Embeddings

Munk, Asbjørn

• [ADSMI2024] AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Munnangi, Agastya

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Munroe, Patricia

• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR

Murad, Nazish

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Murali, Praveen Kumar

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Muriira, Patricia

• [AFRICAI] Afro-FetalNet: Fetal Plane Classification for Low-Resource African Settings

Mursil, Muhammad

• [Deep-Brea3th] Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer

Musa, Aminu

• [AFRICAI] NaijaCXR-VLM: A Multi-task Vision-Language Model for Chest X-ray Analysis in Low-resource Settings

Musah, Toufiq

• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa
• [MIRASOL] Fairness and Cross-Regional Generalizability of State-of-the-Art Glioma Segmentation Models: Evaluation Across African and Global Cohorts
• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption
• [MIRASOL] Towards CPU-Deployable nnU-Net: Training-Free Sensitivity-Guided Compression Across Clinical Domains
• [LISA] Enhancing Neuroanatomical Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI
• [AFRICAI] Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI
• [AFRICAI] ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

Mushtaq, Shalom F.

• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Mustafa, Florentin

• [SASHIMI] Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy

Musulén, Eva

• [CaPTion] Attention-based prediction of lymph node status in pt1 CRC using a histopathology foundational model

Mutiawani, Viska

• [OMIA] ArTiSan: Archetype-Aware TimeSformer for Fast Glaucoma Progression

Mutsvangwa, Tinashe Ernest

• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices

Muzumala, Gabriel Malaizyo

• [MIRASOL] Does Smear Preparation Type Constitute a Domain Boundary? Within-Domain Baselines and a Transfer Protocol for Malaria Microscopy

Mwape, Festus

• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia

Myers, Charles R.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Myers, Nicole

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Myles, James

• [UNSURE2026] A Principled Approach to Unsupervised Anomaly Detection

Myrgyyassov, Alisher

• [CMRSeg] A Multi-scale DINOv3-based Pipeline for Multi-view Cardiac MRI Segmentation

Möller, Hendrik

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Møller, Bjørn Leth

• [COMPAYL] Learning to Organ-ize: Low-resolution Tissue Segmentation for Preclinical Toxicological Pathology

Müller, Elias W. J.

• [TopAneu] Vessel Segmentation and Anatomically Informed Rule-Based Localization of Intracranial Aneurysms

Müller, Henning

• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification
• [EMA] One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training
• [COMPAYL] Post-hoc Shrinkage of Acquisition-Induced Variability in Histopathology Vision Foundation Model Embeddings

Müller, Johanna P.

• [UNSURE2026] A Principled Approach to Unsupervised Anomaly Detection
• [MedAgent] Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Müller, Maximilian

• [ADSMI2024] LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion

Müller, Michael

• [BraTS-METS] A Transformer Pipeline with Uncertainty-Guided Curation and Failure Recovery for Brain Metastases Segmentation

Müller, Philip

• [TIA] Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models

Müller, Sabine

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Müller-Groh, Laurens

• [EMA] RadYOLO: Computationally Efficient 3D Object Detection and Segmentation in CT and MRI

Münster, Nicolas

• [MLCN-2026] What Do Persistent Misclassifications Tell Us About Alzheimer’s Disease Detection using Structural MRI?

M’Hamdi, Meïssane

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

M’Kacher, Radhia

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

M’ule, Barbara Chanda

• [MIRASOL] Does Smear Preparation Type Constitute a Domain Boundary? Within-Domain Baselines and a Transfer Protocol for Malaria Microscopy

Nabavizadeh, Ali

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Nabulsi, Leila

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Nachbar, Marcel

• [MIART] Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

Nadimi, Esmaeil S.

• [SASHIMI] Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy

Nadkarni, Nishant

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Naeem, Roman

• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair

Naesens, Maarten

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Nagar, Sandeep

• [SASHIMI] MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

Nagarajan, Bhalaji

• [HECKTOR] A Segmentation-Guided Framework for TN Staging and Recurrence-Free Survival Prediction in HECKTOR 2026

Nagel, Joseph

• [ShapeMI] Disentangled Geometric Variational Learning of Normative Pediatric Development from Anatomical Surface Representations of Patients with Pathology

Nahum, Uri

• [MedAGI] A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma

Nair, Girish

• [TIA] Interpretable Region-wise Gated CT–Ventilation Fusion for FEV1 Prediction in COPD

Nair, Neena S.

• [ODIN] Diagnosis-Aware Multimodal Retrieval for Paired CBCT Scans and Clinical Notes

Najac, Chloé

• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Nakka, Krishna Kanth

• [Deep-Brea3th] MammoClaw: Towards Skill-Evolving Agent Harness for Breast Cancer Mammography Analysis

Nalepa, Jakub

• [BraTS-METS] Brain Metastasis Segmentation Using an Ensemble of U-Mamba Models

Nam, Ki Bok

• [BraTS-METS] Integrating nnDetection and nnU-Net for Brain Metastasis Segmentation in the BraTS-METS 2026 Challenge

Nam, Yoonho

• [PIPPI] Region-Wise Interpretable Neonatal Brain Age Prediction via Pretrained Segmentation-Guided Attention
• [PIPPI] Self-Tuning Age-Conditioned Choroid Plexus Segmentation in Neonatal MRI

Namburete, Ana I. L.

• [ASMUS] USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance
• [ASMUS] Learning to Annotate, Optimizing to Estimate: A De-amortized Inference Framework for Ultrasound Confidence Maps

Namdar, Khashayar

• [MedAgent] From Metrics to Insight: Agent-Based Comprehensive Evaluation of Medical Image Segmentation

Namuhubembe, Melisa Grace

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Nan, Mihai

• [MLMI] Data leakage and external validation in lung CT segmentation

Nandagopal, Dhandapani

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Nandolia, Khanak

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Nantenaina, Tina N. H.

• [cdmri] Experimental Study of the Impact of Virtual Reality on Fiber Bundle Editing and Annotation

Nanyonjo, Josephine

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Naqvi, Rizwan Ali

• [RIME] TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

Naqvi, Syed Haider Abbas

• [CMRSeg] Per-View Specialist Networks for Multi-Sequence, Multi-View Cardiac MRI Segmentation and Clinical Quantification: A Comparison of nnU-Net and MedNeXt Backbones

Naranjo, Valery

• [DGM4MICCAI] Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis

Narayanan, P. J.

• [TIA] X2V: Deformable 2D/3D Registration from Intraoperative X-ray to Volume via Motion Manifold Learning

Narvekar, Meera

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Nascimento, Jacinto

• [Deep-Brea3th] Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Naseer, Muzammal

• [SAFER] CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs
• [MIRASOL] Effect of Pretrained Initialisation and Component-Wise Tuning on Lightweight VLMs for Ultrasound Report Generation

Nash, Martyn P.

• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning
• [Deep-Brea3th] Quality-Aware Multi-class Breast MRI Segmentation Workflow

Nashed, Kirellos

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Nasiopoulos, Panos

• [MLMI] CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Nasir, Aleeshah

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Nasr, Elie

• [HECKTOR] HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

Nasrabadi, Erfan Nasri

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Nasrallah, MacLean P.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Nasrallah, Sebastian

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Nasser AbdelRaouf, Mohamed

• [MIRASOL] Compact Radiomics-Guided FiLM Conditioning for Ultrasound-to-MRI Translation

Natho-Mohammadi, Siawoosh

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks

Nava Martinez, Iris

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Navab, Nassir

• [ShapeMI] ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion
• [MultiTab] Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information
• [MedAgent] HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition
• [MedAgent] Disentangling Perception and Reasoning in Zero-Shot Multimodal LLMs for Ultrasound Diagnosis
• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI
• [FoundUS] Towards Universal Ultrasound Biometry with Task-aware Foundation Models
• [CREATE] Intraoperative AR Visualization of Preoperative (CB)CT via X-Ray Registration
• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations
• [ASMUS] UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound
• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction
• [AMAI] Learning Diagnostic Reasoning for Decision Support in Toxicology
• [AIIG2024] Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

Navarini, Alexander A.

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Navarro Alfaro, Elena

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Navarro-Guzman, Alvaro

• [ASMUS] Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

Navas, Alin

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Navet, Éloi

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [BrainWorks] Hierarchical Differential MedViT-3D: Specialized Hybrid Transformer for Multiclass Diagnosis of Neurodegenerative Diseases

Nayan, Navneet

• [EMERGE] FadeFormer: Content-Adaptive Graph Diffusion for Medical Image Classification

Nazar, Saeedha

• [HemaRAI] MaLDAM: Masked Localized Domain Adaptation for Malaria Detection in Low-Cost Microscopic Images

Nazari, Sana

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Nazarian, Javad

• [COMPAYL] Investigating Test-Time Training for Patch Classification in Pathology

Nazarov, Alexander

• [SAFER] Priors Over Pixels: Present-Bias in Organ-Presence Grounding for Medical VLMs

Nazir, Ahad Ali

• [BraTS-GoAT] An Engineering-optimized, Resource-Constrained nnU-Net v2 Pediatric Baseline for the BraTS-GoAT 2026 Generalizability-Across-Tumors Challenge

Nazir, Muhummad Sohaib

• [Off-Grid] Learning Cardiac Motion Priors for Implicit Neural Representations

Ndoko, Arthur

• [SAFER] MeVisQA: Medical Visual Question Answering via Visual Programming

Neamtu, Bogdan

• [BraTS-PEDs] NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Nebli, Ahmed

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Nederend, Joost

• [CaPTion] Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Neelakantan, Sivathanu

• [MLMI] Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration

Neema, Saanvi

• [AMAI] A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Negi, Aniket

• [HECKTOR] JOTAC-HN: Joint Outcome and TN Assessment Cascade for Head and Neck Cancers

Negru, Andra

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Neh, Hendrike

• [MIART] PR3DICTR: a 3D Image-Based Deep Learning Prediction Modelling Framework and its Use in Radiotherapy
• [MIART] More Comprehensive and Reliable Deep Learning Normal Tissue Complication Probability Models for Head and Neck Cancer Patients

Nelson, Max A.

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Nerrise, Favour

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Nessiem, Mina A.

• [ISLES] Evaluating Pipeline Design Choices for Chronic Stroke Lesion Segmentation in T1-Weighted MRI

Netherton, Tucker

• [BraTS-GoAT] MISFIT: A Self-Supervised Pretraining Toolkit for 3D Medical Imaging — A Preliminary Test Across Three BraTS 2026 Segmentation Tasks

Neto, Jeova F. S. R.

• [MIRASOL] AutoFLIM: Joint Optimization of Architecture, Markers, and Hyperparameters for Efficient Medical Image Segmentation
• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Neto, Pedro C.

• [COMPAYL] QLabelMIL: Inter-Pathology Query Decoding for Multi-Label Gastric Histopathology

Neumann, Annina

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus

Neumann, Katja

• [SASHIMI] Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Neumayer, Sebastian

• [CMRxRecon2026] CLEAR: Complex Learned Explicit Analytical Regularization for Ultra-Accelerated 4D Flow CMR Reconstruction

Neupane, Jeevan

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Newburger, Jane W.

• [GRAIL] Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

Newman-Norlund, Roger D.

• [BraTS-METS] A Region-Based Residual-Encoder nnU-Net Ensemble with a Matched-Normalization Subtraction Channel and Resection-Cavity False-Positive Suppression for Brain Metastasis Segmentation

Newsome, Scott D.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior

Newson, Alasdair

• [MLMI] Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

Ng, Alexander

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis

Ng, Fu Siong

• [iMIMIC] Recursive Uncertainty-Gated Image Registration for Learning-Based Algorithms

Ng, Him Wai

• [MLMI] CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Ng, Janson

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Ngo, Nathan Xi

• [PIPPI] High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation

Ngoc, Khanh Nguyen Vo

• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Nguyen, Anh

• [DEMI2026] Structure-Aware Diffusion for Synthetic Fluoroscopic Video Generation
• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition
• [CREATE] SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

Nguyen, Duc Thang

• [DGM4MICCAI] Synthetic Data Generation for Automated Hair Instance Segmentation in Trichoscopy

Nguyen, Duy Minh Ho

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Nguyen, Duy-Dong

• [COMPAYL] ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Nguyen, Giang

• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Nguyen, Hai-Dang

• [MedReason] Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA

Nguyen, Hang

• [DGM4MICCAI] Synthetic Data Generation for Automated Hair Instance Segmentation in Trichoscopy
• [CaPTion] Identity-Preserving Synthetic Dermoscopic Lesion Generation via ABCD Prompting

Nguyen, Hanh Huyen My

• [EndoLINA] TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection

Nguyen, Hoang-Vinh

• [REG2026] Decoupling Structure from Perception: A Deterministic-DAG Report Generator with Leak-Fair Cross-Site Recognition for Computational Pathology

Nguyen, Khang

• [CLiMeM] Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

Nguyen, Khang C.

• [ELAMI] Sliding window-based local feature extraction for findings reports generation from longitudinal 3D CT volumes

Nguyen, Linh

• [BrainWorks] Reconstruct and Distill: A Hybrid Masked-Autoencoder and Self-Distillation Foundation Model for Clinical Brain MRI

Nguyen, Maï K.

• [CLiMeM] Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

Nguyen, Minh Quan

• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Nguyen, Nhi Ngoc-Yen

• [ODIN-challenges] Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion

Nguyen, Quoc Anh

• [EMA] Test-Time Instance Selection for Improved Whole Slide Image Analysis

Nguyen, Quoc-Tien

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Nguyen, Tan Anh

• [DT4H] PedDiffusion: Multi-scale wavelet packet conditional diffusion for pediatric 12-lead ECG reconstruction from a single lead

Nguyen, Thai

• [ODIN-challenges] Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion

Nguyen, Thanh-Huy

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation
• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Nguyen, Thi Hao

• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Nguyen, Thien

• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Nguyen, Tien Dat

• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Nguyen, Tran Quoc Duy

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Nguyen, Tri

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Nguyen, Tri-Thien

• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Nguyen, Trung Thanh

• [CLiMeM] How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

Nguyen, Vivian

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Nheng, Vanchhay

• [REG2026] PathChain: Reproducing the Pathologist’s Diagnostic Workflow from Whole-Slide Images

Ni, Dong

• [MLMI] Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction
• [ASMUS] ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

Ni, Qiongying

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Ni, Simin

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Ni, Yimin

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Niass, Oumy

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Nicholls, Hannah L.

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank

Nicolaou, Savvas

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Nie, Weizhi

• [MedAgent] Ask4VG: A Risk-Aware Question Selection Agent for Reducing Prior-Driven Answers in Medical VQA
• [MLMI] CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging

Nie, Yichong

• [MLMI] Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis

Niederer, Steven A.

• [MVAA] ValveMix: A Unified Semi-Supervised Framework for Multimodal Mitral Valve Anatomy Segmentation
• [CMRSeg] CardioMix: A Unified Framework for Multi-Sequence and Multi-View Cardiac MRI Segmentation

Nielsen, Mads

• [EMA] How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification
• [ADSMI2024] AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Nielsen, Marshall

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

Nielsen, Maximilian

• [ODIN-challenges] RGBite: Vision-Language Report Generation for the ODIN 2026 Challenge
• [HEADLINE] CIRCA: Maximising Per-Slice Detail for Head-CT Report Generation with a Windowed-RGB and Split-Slab Bone-Projection Representation for the HEADLINE Challenge

Nielsen, Poul M. F.

• [Deep-Brea3th] Quality-Aware Multi-class Breast MRI Segmentation Workflow

Niepert, Mathias

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Niessen, Natascha

• [RIME] CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI

Niethammer, Marc

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Nigusie, Gebregziabihier

• [MIRASOL] Gaussian Regularized Spatial Masking for Enhanced Malaria Blood Smear Augmentation in Resource-constrained Settings

Niiniskorpi, Timo

• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair

Nijjer, Kiran

• [MI4MedFM] Interpretable Missense Variant Effect Prediction via Sparse Feature Changes in ESM-2

Nik Khah, Arman

• [MLCN-2026] Graph-Theoretical Task-Based Frontal Brain Network of Visual Working-Memory Load: An fNIRS Study

Nikolakakis, Emmanouil

• [Off-Grid] K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

Nikoshin, Denis

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Nikvashvili, Giorgi

• [ISLES] LightMedSeg-ISLES: Stroke Lesion Segmentation with 81× Fewer Parameters than nnU-Net

Nir, Talia M.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Nishikawa, Hiroki

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Nishimura, Kazuya

• [MISO] Leveraging Cell-level Spatial Transcriptomics as Weak Supervision for Nuclei Classification

Nispel, Kati

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Nitti, Francesco

• [BraTS-METS] A Transformer Pipeline with Uncertainty-Guided Curation and Failure Recovery for Brain Metastases Segmentation

Niu, Yichen

• [MVAA] Task-Specific Segmentation Pipelines for the MVAA Challenge

Nizhar, Rotem

• [UNSURE2026] Image Segmentation Calibration Based on Estimated Segmentation Quality

Niño-León, Manuel

• [OMIA] Counting Is Not Enough: Spatially Explicit Formulations for AOSLO Cone Photoreceptor Quantification

Njih, Asonyu Senge

• [AFRICAI] A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

Njomgue Fotso, Evariste

• [GRAIL] Topological Deep Learning on Graphs for Arrhythmia Risk Prediction From Images

Nkwam, Philip

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings

Noble, J. Alison

• [HAIC26] Learning to Defer with Guidance on Real World Medical Data
• [HAIC26] A3F: Anatomy-Aware Actionable Feedback for Fetal Ultrasound
• [HAIC26] Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers
• [FoundUS] A Unified Semi-Supervised Framework for Multi-Task Ultrasound Biometry Landmark Detection

Noei, Shahryar

• [ISLES] Deconver for Stroke Lesion Segmentation
• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Noga, Michelle

• [MVAA] When Does Unlabelled Data Help? A Shift-Aware Semi-supervised Study of Multimodal Mitral Valve Segmentation
• [MRIxFields2026] Any-to-Any Brain MRI Field Translation using a Unified Multi-Modality, Multi-Field Conditional Diffusion Model

Noh, Jiyoo

• [EchoRisk] Motion-Aware Multi-Stream Learning for Subclinical LV Dysfunction Detection from Echocardiography Videos

Noh, Seungha

• [AIMS-TBI] Rebalancing Lesion Exposure: Instance-Aware Sampling for msTBI Lesion Segmentation

Noh, Yung-Kyun

• [cdmri] Segmentation-Conditioned Latent Diffusion for Prostate High-b-value DWI and ADC Synthesis

Noiry, Nathan

• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Noman, Mubashir

• [EMA] InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation

Nombela-Arrieta, César

• [Off-Grid] Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion

Nordal, Robert

• [MLCN-2026] Text-Guided Multimodal Multitask Learning for Brain Tumor Segmentation

Norell, Björn

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Normand, Nicolas

• [CAPI-WOMEN] Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints

Nougaret, Stéphanie

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas
• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Nour, Mahmoud

• [MIRASOL] ExBale: Quantitative Evaluation of Explainability Alignment in Ovarian Ultrasound Imaging

Novotna, Alzbeta

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Novotny, Petr

• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Nti Koduah, Joseph D. A.

• [AFRICAI] Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation
• [AFRICAI] Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity

Ntwaetsile, Kushatha

• [MIRASOL] Clean AUC Is Not Enough: Architecture-Specific Failure Modes of Tuberculosis Classifiers under Digitisation Artifacts

Ntwali, Chris-Victor

• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images

Nunes, Fátima L. S.

• [CARE] Causality-inspired Polar Approach for Myocardial Pathology Segmentation in Multi-sequence CMR

Nuria, Ferrera

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Nurse, Ewan

• [FAIMI-BRIDGE-EPIMI] What is AI to Us: Exploring Patient Values in Integrating AI for Epilepsy Management

Nurzyńska, Karolina

• [RHEUM-AI] Advantages and limitations of applying ML techniques in medical data analysis, illustrated with X-ray imaging

Nuyts, Sandra

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Nwafor, Solomon Chibuzo

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Nyangoh-Timoh, Krystel

• [CAPI-WOMEN] Comparing Problem Formulations for Endometriosis Lesion Detection on T2-weighted Pelvic MRI

Nyholm, Tufve

• [PedAItrics] Latent Space Oversampling for Adult–Pediatric Imbalance in Brain Tumor Segmentation

Oats, Unotjari

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Obasi, Goodness C.

• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images

Obe, Olumide Olayinka

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Oberländer, Nico

• [AMAI] Learning Diagnostic Reasoning for Decision Support in Toxicology

Obete, Felix

• [AFRICAI] Improving Feature Representations for Few-shot Classification of Neglected Tropical Diseases on Dark Skin Tones

Occhipinti, Edoardo

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Ochoa Ruiz, Gilberto

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Ochoa-Ruiz, Gilberto

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Oda, Masahiro

• [MLMI] Reducing False Positives in Pancreatic Tumor Segmentation via Multi-Scale Texture Enhancement and Curriculum Learning
• [ELAMI] Sliding window-based local feature extraction for findings reports generation from longitudinal 3D CT volumes
• [ELAMI] Balancing Retrieved Evidence for 3D CT Report Generation

Odisio, Bruno C.

• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Odling-Smee, Michael

• [ISIC] Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Oeschger, Jan Malte

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections

Ofosu Mensah, Samuel

• [iMIMIC] Towards Interpretable Foundation Models for Retinal Fundus Images

Ogawa, Hiroshi

• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Ogbole, Godwin

• [MLMI] Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient

Oghenewoakpo, Supreme Onowoakpo

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Ogiermann, Dennis

• [CMRxRecon2026] CUT-4DFlow for Accelerated 4D-Flow MRI Reconstruction

Ogoniak, Lynn

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Ogundeji, Olawale

• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Ogundokun, Roseline Oluwaseun

• [MIRASOL] Frugal and Agentic AI for Medical Imaging in Resource-Constrained Settings: A Sustainable Framework

Oguz, Ipek

• [CARE] LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation

Oh, Hyerin

• [MAMA-SYNTH] Where and How Much: Enhancement-Decomposed Flow Matching for Virtual Contrast-Enhanced Breast MRI

Ohara, Erik Y.

• [AIIG2024] Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Ohlmeyer, Sabine

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Okegbemi, Joshua Taiwo

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Okoye, Ifeoma

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Oksuz, Ilkay

• [LISA] Automated Artifact Quality Control for Pediatric Low-Field MRI via Plane-Aware CNNs and BrainFM Feature-Pyramid Expert Merging
• [EMA] Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI
• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Olabode, Ayotola Hannah

• [MIRASOL] Benchmarking Explainable AI for Brain Tumour Segmentation and Classification in African MRI

Oladeji, Ifeoluwa

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings

Oladejo, Ezekiel Ayodeji

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Oladepo, Oluwaferanmi

• [MIRASOL] Silent Failures in Degraded Chest X-Rays: Benchmarking Uncertainty Methods for Pneumonia Triage in Resource-Constrained Settings
• [MIRASOL] TRIDENT: Safety-Gated, On-Device Triage for Paediatric Teledermatology on Pigmented Skin

Olajide, Olufemi

• [DEMI2026] Structure-Aware Diffusion for Synthetic Fluoroscopic Video Generation

Olajos-Horvath, Alinka

• [ASMUS] Controllable Synthesis of Pathological Fetal Brain Ultrasound via Registration-Guided, Radiomics-Driven Latent Diffusion

Olatunji, Oyindamola

• [AFRICAI] LRX-Bench: Robustness Evaluation of an RLVR-Trained Medical Vision–Language Model under Deployment-Motivated Chest X-ray Degradations

Olberding, Simon

• [COMPAYL] RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Olesiński, Mikołaj

• [REG2026] Ensembled Foundation-Model Pipeline for Reasoning-Guided Pathology Report Generation: A REG2 Challenge Submission

Olive, Thomas

• [UNSURE2026] Complementary Reliability Axes for Aortic CTA Segmentation: An Empirical Audit

Oliver, Arnau

• [MRIxFields2026] Latent Conditional Rectified Flow for MRI Synthesis Across Modalities and Field Strengths in the MRIxFields2026 Challenge
• [AIMS-TBI] nnU-Net and Domain Randomization for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury

Olivier, Antoine

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis
• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Oluoch, Sandra

• [ISLES] T1w MRI Stroke Lesion Segmentation with Optimized Preprocessing and Residual Encoder nnU-Net

Olusuyi, Tolulope

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA
• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Oluwasegun, Abraham Ajeolu

• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Oluwatobi, Samuel Olusola

• [AFRICAI] Afro-FetalNet: Fetal Plane Classification for Low-Resource African Settings

Omar, Hasmila A.

• [MWM] ICUWorld-QR: A Residual Latent World Model for Hourly ICU Physiology

Omarbekov, Dauren

• [BraTS-PEDs] Anatomy-Preserving Rare-Subtype Adaptation for Pediatric Brain Tumor Segmentation

Omer, Hasmila A.

• [RHEUM-AI] Why Isolated Joint Views Limit Bone-Erosion Segmentation on Hand Radiographs
• [PedAItrics] Data-Efficient Pediatric Demyelinating Lesion Segmentation with Cross-Age Lesion Augmentation and Trustworthy Predictions

On, Sungchul

• [LISA] Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Onah, Zimuzo

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Onay, Yagmur

• [MISO] Iterative Gamma Normalization for Inter-Sample Integration of Multiplexed Tissue Images

Ong, Yew-Soon

• [ELAMI] Authority-Preserving Evaluation of Medical Vision-Language Assistants
• [ELAMI] FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Onifade, Olufade Williams

• [MIRASOL] Benchmarking Explainable AI for Brain Tumour Segmentation and Classification in African MRI

Onodugo, Nkiru

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Onofrey, John

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Onoye, Takao

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Onyedim, Victor Ejike

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Onyemeh, Tobenna

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Oostingh, Gertie Janneke

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Opara, Chidera

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Ordóñez, Sebastián Andrés Cajas

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Oreiller, Valentin

• [COMPAYL] Post-hoc Shrinkage of Acquisition-Induced Variability in Histopathology Vision Foundation Model Embeddings

Orellana, Yessenia

• [MIRASOL] LDCT-to-SDCT as a Bridge Problem: Single-Step Residual Endpoint Flow Matching for Real-Time Denoising

Orlando, José Ignacio

• [MedAgent] Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline

Oroumchian, Farhad

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Ortiz Lattuada, Agustín

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Ortiz-Bayliss, José Carlos

• [DEMI2026] ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Ortiz-Perez, David

• [BraTS-PEDs] Modelling the Infiltrative Margin as a Graded Target: Reaction–Diffusion Soft Labels and Region-Specific Ensembling for Paediatric Brain Tumour Segmentation

Ortiz-Perona, Jesús

• [BrainWorks] From Edge to Gradient: Quantifying the Infiltrative Margin in Paediatric Diffuse Glioma
• [BraTS-PEDs] Modelling the Infiltrative Margin as a Graded Target: Reaction–Diffusion Soft Labels and Region-Specific Ensembling for Paediatric Brain Tumour Segmentation

Ortiz-Puerta, David

• [LISA] Rigor over Novelty in Ultra-Low-Field Pediatric Brain MRI: Quality Control and Subcortical Segmentation for the LISA Challenge 2026

Osman-Watara, Ummulkhair

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Osmani, Venet

• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Osolo, Ian Raymond

• [AFRICAI] Improving Feature Representations for Few-shot Classification of Neglected Tropical Diseases on Dark Skin Tones

Osorio, Felipe Ocampo

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Osorio-Valencia, Juan Sebastian

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Ossami, Dieu-Donné Okalas

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Ostermaier, Julian

• [COMPAYL] Disentangled Shared Representations Improve Morpho-Transcriptomic Integration

Osuala, Richard

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Otake, Yoshito

• [UNSURE2026] Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Otieno, Dishan

• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Otoo, Kojo Obed

• [AFRICAI] Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation
• [AFRICAI] Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity

Ottesen, Jon André

• [ISLES] Adaptive Post-Processing Drives Instance-Level Detection in Stroke Lesion Segmentation
• [AIMS-TBI] A U-Net for Automated msTBI Lesion Segmentation

Otto, Lukas Bastian

• [SWITCH] X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Ou, Yangming

• [MultiTab] Conditional Intervention Analysis: Toward Identifying Causal Features in Tabular Multimodal Data

Oubnini, Zakaria

• [AFRICAI] CT X-ray Tube RUL Estimation Under Data Scarcity in Low-Resource Hospitals

Ouellette, Heather A.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Ouhbi, Brahim

• [AFRICAI] Federated Learning under Combined Clinical Heterogeneity: Evaluation Protocol and Inter-Site Equity

Ourselin, Sébastien

• [SWITCH] Projection-Based Quality Assessment of Cerebrovascular Segmentations
• [HAIC26] Adapt While You Annotate: The Missing Complement to Interactive Segmentation

Ouyang, Cheng

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI
• [HAIC26] Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers
• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Ouyang, David

• [EchoRisk] Pretrained Echocardiography Video Models for LVEF Estimation and LV Dysfunction Classification

Ouyang, Jin

• [HECKTOR] Predicted Masks Throughout: A Cross-Center Generalizable Pipeline for Joint Head and Neck Tumor Segmentation, Staging, and Prognosis

Ouyang, Rongzhen

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Ouyang, Xi

• [MWM] TNCMeasure: Anatomy-Guided and Geometry-Constrained Vision-Language Learning for Thyroid Nodule-to-Capsule Distance Measurement
• [MLMI] Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning
• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Overbeek, Bart

• [HAIC26] Why AI Fails to Influence Admission Decisions: Evidence from a Case Study

Owais, Muhammad

• [COMPAYL] CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology
• [ASMUS] Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Owolawi, Pius Adewale

• [MIRASOL] Frugal and Agentic AI for Medical Imaging in Resource-Constrained Settings: A Sustainable Framework

Owusu-Agyemang, Kwabena

• [FAIMI-BRIDGE-EPIMI] When Fairness Transfer Backfires: Dark-Skin Inversion in Dermatology Foundation Models and a Minimal In-Distribution Fix
• [CAPI-WOMEN] Patient-Level Data Leakage in Colposcopy Classification: A Cautionary Study with Evidential Uncertainty Quantification for Cervical Cancer Screening
• [AFRICAI] Accurate but Not Equally Trustworthy: Benchmarking Foundation Models for Fetal Ultrasound in Africa

Owusu-Ansah, Maame

• [STACOM] Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement

Oyebisi, Oyetayo

• [MIRASOL] Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

Oyelami, Oyewole

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Oyetunji, Abdulbasit

• [MIRASOL] Token Mixer Placement Matters: A Systematic Encoder–Decoder Ablation Study of Mamba for Brain Tumour Segmentation on BraTS-Africa
• [MIRASOL] From Binary Labels to Stage-Aware Bounding Boxes: Evaluating Annotation Depth in Malaria Microscopy

Ozaydin, Mehmet Alp

• [TIA] ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT

Ozcinar, Beyza

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Ozdemir, Zeynep

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Ozenne, Valery

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Ozmen, Tolga

• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Ozmen, Vahit

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

O’Connor, Caleb S.

• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

O’Connor, Noel E.

• [EMERGE] Label-Efficient Multimodal Microsleep Forecasting via Interpretable Disagreement-Driven Active Learning

Padilla, Mariela

• [ODIN] From TMJ Localization to Detection of Osteoarthritic Features: An Anatomically Guided 3D Deep Learning Pipeline for Cone-Beam CT
• [MI4MedFM] Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis

Padoy, Nicolas

• [CaPTion] SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Paglialunga, Danilo

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Paik, David

• [MVAA] Geometry-Aware and Semi-Supervised Ensembles for Multimodal Mitral Valve Segmentation

Painchaud, Nathan

• [ShapeMI] Learning to Reconnect: Graph-based Path Classification for Restoring Retinal Vessel Segmentation Connectivity

Paindavoine, Michel

• [DGM4MICCAI] Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Painuly, Naveen

• [OMIA] Towards a Robust and Explainable Pipeline for Diabetic Retinopathy Classification through Quality-Aware GenAI Image Restoration

Pajula, Juha

• [DeCaF] LAFFS: LASSO Assisted Federated Feature Selection

Pal, Rahul

• [EMERGE] Relational Learning of Temporal and Semantic Clinical Structured EHRs for Enhanced Patient Outcome Forecasting

Pal, Rajdeep

• [EMA] SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images

Pala, Furkan

• [DeCaF] Towards Highly Heterogeneous Federated Learning: A Graph-Based Framework for Architectural and Data Heterogeneity

Pala, Vittoria

• [HemaRAI] Comparing Centralized and Federated Learning for ECG-Based Chagas Disease Detection

Palama, Christian

• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations

Palawan, Chamil

• [EchoRisk] Orthogonalising LVEF: Cyclic Consistency and Expert Cavity Supervision

Palazzo, Gabriele

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Pallapothu, Raghav

• [BraTS-METS] A Region-Based Residual-Encoder nnU-Net Ensemble with a Matched-Normalization Subtraction Channel and Resection-Cavity False-Positive Suppression for Brain Metastasis Segmentation

Palm, Maximilian

• [LISA] Ensembled Laterality-Aware Residual nnU-Net for Low-Field Pediatric Brain MRI Segmentation

Palthyavath, Srikanth

• [BraTS-Inpainting] Enhanced 3D U-Net for BraTS Local Synthesis: Attention, Deep Supervision, and Edge-Aware Inpainting

Pan, Hongyi

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Pan, Jiazhen

• [STACOM] No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
• [MIART] Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis

Pan, Shaoming

• [STACOM] Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Data
• [STACOM] Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

Pan, Xing

• [MVAA] Modality-Aware Segmentation of Mitral Valve Anatomy in CT, 3D TEE, and Surgical Video

Pan, Yijie

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Pan, Yuchi

• [CARE] Topology-Guided Lightweight 2.5D Liver Segmentation for Limited-Annotation Multi-Center Fibrosis MRI

Panagiotakopoulou, Anna

• [FoundUS] Self-Supervised Domain Adaptation with DINOv2-HRNet for Multi-Task Ultrasound Landmark Detection

Panagiotou, Maria

• [MedAgent] EndoRAG: An Agentic Retrieval-Augmented Generation Framework for Endocrinology Question Answering

Panchal, Aaditya

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Panchal, Maharshi

• [MLMI] CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Panchal, Mihir

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Pandey, Aarush

• [FoundUS] SonoDiNoV2: Geometry-Aware, Pseudo-Label Guided Multi-Task Ultrasound Model

Pandey, Juhi

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Pandit, Vansh

• [HECKTOR] Geometry Meets Metabolism: Interpretable Segmentation, Staging, and Prognosis in Head and Neck PET/CT

Pandurang

• [MLMI] PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs

Pang, Emily H. T.

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Pang, Haowen

• [SASHIMI] nnDiffusion: A Standardized 3D Diffusion Framework for Medical Image Synthesis
• [MRIxFields2026] Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining

Panholzer, Torsten

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Panjwani, Dhiral D.

• [Off-Grid] Piecewise Positional Encodings (PPE) for Medical Image Representation

Pansiot, Julien

• [ShapeMI] BlendNet: on the Importance of Accurate Local Pre-Registration in the Image Registration Task

Pao, Hsing-Kuo Kenneth

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Paolucci, Iwan

• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Papageorghiou, Aris T.

• [HAIC26] A3F: Anatomy-Aware Actionable Feedback for Fetal Ultrasound

Papamarkou, Theodore

• [FAIMI-BRIDGE-EPIMI] Rethinking Explainability for Clinical Trust: A Task-Specific Communicative Layer

Papanikolaou, Nikolaos

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Papathanail, Ioannis

• [MedAgent] EndoRAG: An Agentic Retrieval-Augmented Generation Framework for Endocrinology Question Answering

Papież, Bartłomiej W.

• [SASHIMI] Evaluation of Clinically Steerable Retinal Image Generation from Foundation Model Latent Spaces
• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [CaPTion] PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning
• [CaPTion] When Two Tracers Disagree: An Investigation of Multimodal Fusion for Clinical PET/CT Segmentation

Paragios, Nikos

• [SASHIMI] A Latent Single-Step Network is Sufficient for Accurate CBCT-CT Translation

Paravila, Ajesh Saviour

• [BraTS-PEDs] Reliability-Weighted Supervision with Class Frequency Correction for Pediatric Brain Tumor Segmentation
• [BraTS-METS] Epistemic Uncertainty-Guided Supervision Weighting for Brain Metastasis Sub-region Segmentation

Pardàs, Montse

• [DGM4MICCAI] Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI

Parente, Marco

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Parida, Abhijeet

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Parikh, Aditya

• [FAIMI-BRIDGE-EPIMI] False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation

Parikh, Megh

• [BraTS-GoAT] RACER: A Radiomic-Adaptive Cohort Ensemble with Refinement for Cross-cohort Brain Tumor Segmentation using Deep Learning

Park, Chaebin

• [STACOM] IVUS Plaque Characterization Descriptors Carry FFR Information Beyond Morphology in Borderline Lesions

Park, Chang Min

• [MedAgent] When to Request and Whether to Trust: A Two-Decision Imaging Agent for Pleural Effusion Assessment
• [MedAgent] LongCXR-Agent: Query-Driven Tool Selection for Longitudinal Chest X-ray Reasoning

Park, Changseon

• [MRIxFields2026] Multi-Field MRI Synthesis with Paired–Synthetic–Paired Latent Diffusion
• [LISA] A 2.5D Ordinal Quality Assessment and Metadata-Preserving Residual Restoration Framework for Ultra-Low-Field Pediatric Brain MRI

Park, Ho-min

• [FoundUS] A Unified Multi-Task Model for Ultrasound Biometry Landmark Detection under Extreme Label Scarcity

Park, Hyeon Jun

• [SASHIMI] Beyond Visual Realism: The Neuro-Fidelity Index for Validating Geometric Integrity in Synthetic Brain MRI

Park, Jinyong

• [HEADLINE] Finding-Aware Contrastive Re-Alignment for Head CT Report Generation

Park, Jonggwon

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Park, Juil

• [DT4H] Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Park, Junhyun

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Park, Kangwoo

• [cdmri] Segmentation-Conditioned Latent Diffusion for Prostate High-b-value DWI and ADC Synthesis

Park, Kwangsuk

• [EMERGE] GPT-DBR: Decoding-Based Language-Model Regression for CT-Derived Lung-Function Estimation

Park, Kyuwon

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

Park, Pyeongjin

• [SASHIMI] Synthesizing CT-based Functional Lung Ventilation Map: A Comparative Study of Generative Models for Image-to-Image Translation

Park, Seonyu

• [TREAT-MMTB] CaviFusionNet-T1: A Multi-Branch Ensemble for Pulmonary Cavity Detection and Segmentation in the TREAT-MMTB 2026 Challenge

Park, Suhyung

• [CMRxRecon2026] Subspace-Guided Upstream-Downstream Deep Learning Reconstruction for Fast 4D Flow MRI

Park, Sung-Hong

• [MRIxFields2026] Cross-Field MRI Synthesis with an Unpaired Neural Schrödinger Bridge

Park, Sunhong

• [EMA] Test-Time Instance Selection for Improved Whole Slide Image Analysis

Park, Thomas

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Parmar, Chaitanya

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation
• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Parthasarathy, Srivibha

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification

Parvatikar, Mayur

• [MI4MedFM] PATH-DISSECT: Interpreting Concept Representation and Classifier Reliance in Pathology Foundation Models with Sparse Autoencoders

Pascau, Javier

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach
• [DT4H] Towards surgical digital twins: a soft-tissue phantom study on stiffness-ratio calibration for AR-guided interventions

Paschali, Magdalini

• [UNSURE2026] Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Pasquier, Andrea

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Passat, Nicolas

• [PIPPI] Longitudinal registration of human fetal brain MRI

Passerini, Tiziano

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation

Patankar, Shriya

• [MI4MedFM] Interpretable Missense Variant Effect Prediction via Sparse Feature Changes in ESM-2

Patel, Jay B.

• [Deep-Brea3th] Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations

Patel, Megh

• [ISLES] Bottleneck-Mamba 3D U-Net Baseline for Lesion Segmentation in ISLES’26 Ischemic Stroke: Limited by Precision in Segmenting Small and Multifocal Lesions
• [ISLES] Investigating Small-Lesion Segmentation Failures in Acute Ischemic Stroke: An nnU-Net Baseline Analysis for ISLES'26

Patel, Milit S.

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Patel, Sanvritti

• [ShapeMI] Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

Pathak, Tilak

• [REG2026] Reasoning as Retrieval: Template-Grounded Chain-of-Thought Report Generation from Whole-Slide Images
• [BraTS-Path] Leakage-Free Patient-Grouped Evaluation of Frozen Pathology Foundation Models for Long-Tailed Glioma Sub-region Classification

Patil, Heramb Vivek

• [EMERGE] Label- and Parameter-Efficient Lung Ultrasound Representation Learning via I-JEPA for Edge Diagnostics

Patil, Nihal

• [BraTS-METS] Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector
• [BraTS-GoAT] Regions7525_DA5: Harnessing Adaptations of Existing nnU-Net Features to Improve Generalizability of Brain Tumor Segmentation

Patra, Arijit

• [MedAgent] MechAgent: Active Mechanism Falsification for Agentic Cross-Species Medical Reasoning
• [AMAI] Continual Learning with subspace adaptation in foundation models for drug safety studies

Patsiamanidi, Maria

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Paul, Angshuman

• [DeCaF] Federated Chest X-ray Diagnosis under Label Heterogeneity via Disease-Aligned Prototype
• [DGM4MICCAI] FedDSR: Codebook-Based Distribution Alignment for Heterogeneous Federated CT Super-Resolution

Paul, Rishov

• [STACOM] Generative Brownian Bridge Diffusion In Motion Space For Enhanced Myocardial Strain Analysis

Paulsen, Rasmus R.

• [STACOM] Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion
• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations
• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

Paulson, Martin

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Pauwels, Kaat

• [ShapeMI] Interpretable Obstructive Sleep Apnea Screening from MRI-Derived Upper-Airway Surface Morphology with Class Node Graph Attention Networks

Pavelkin, Roman

• [CaPTion] Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

Pavlova, Marina

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Pavo, Noemi

• [STACOM] SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

Pecco, Nicolo

• [BraTS-METS] A Multi-Network Ensemble Strategy for the BraTS 2026 Brain Metastasis Segmentation Challenge

Pedersen, Nikolette

• [FAIMI-BRIDGE-EPIMI] Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIP

Pedrosa, João

• [TIA] Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation
• [TIA] Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies
• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Peeken, Jan C.

• [MIART] Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis
• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Pegoraro De Macedo, Marcia Raquel

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Pei, Songwen

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Pei, Xin

• [FAIMI-BRIDGE-EPIMI] What is AI to Us: Exploring Patient Values in Integrating AI for Epilepsy Management

Pelin, Helena

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Pelissier-Combescure, Marie

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas
• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Pellegrini, Enrico

• [OMIA] Compress to Scale: Semantic Token Reduction for High-Resolution Retinal Image Analysis

Peltekian, Alec K.

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Peng, Alina

• [BraTS-METS] ACORN: Asymmetric Conditional Overlapping RAVSS Network for Segmenting Small Brain Metastases

Peng, Bo

• [MLMI] Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis

Peng, Hong

• [FoundUS] High-Resolution DINOv3-DSNT Landmark Regression for Multi-Organ Ultrasound Biometry

Peng, Jiachuan

• [MedAgent] CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

Peng, Rutong

• [ODIN-challenges] DentSAFER: Action-Aware Field Retrieval for Structured Dental CBCT Reporting

Peng, Tingying

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Peng, Yanjun

• [CARE] MaskSAM-PBPR: A Prior-Guided Bidirectional Propagation Refiner for Multi-Sequence CMR Myocardial Pathology Segmentation
• [CARE] Fibrosis-Aware Spatial-Temporal Representation Learning for Liver Fibrosis Staging from Real-World MRI
• [BraTS-PEDs] Adapting PTransBTS for Pediatric Brain Tumor Segmentation in BraTS-PEDs 2026
• [BraTS-PEDs] AFS-Net: Adaptive Fusion Skip Network for Pediatric Brain Tumor Segmentation
• [BraTS-METS] Gated Frequency-Enhanced Class-Wise Ensemble for Brain Metastases Segmentation
• [BraTS-GoAT] SlimInterPAS for Brain Tumor Segmentation

Peng, Yizhen

• [CMRSeg] Acquisition-Structured nnU-Net Ensembles for Multi-Sequence Cardiac MRI Segmentation and Quantification

Peng, Zilun

• [CMRSeg] CardioState: Task-Aligned 2.5D MedNeXt for Multi-Sequence Cardiac MRI Segmentation and Quantification

Penhaker, Marek

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Pennisi, Matteo

• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives

Penzkofer, Tobias

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Pepe, Inés Gonzalez

• [UNSURE2026] Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

Perazzolo, Alessio

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Perelli, Alessandro

• [MIART] EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Perera, Avishka

• [HemaRAI] MaLDAM: Masked Localized Domain Adaptation for Malaria Detection in Low-Cost Microscopic Images

Peretzke, Robin

• [AIMS-TBI] Evaluating Large-Scale Pretraining and Auxiliary Training Data for T1-only TBI Lesion Detection and Segmentation in the AIMS-TBI 2026 Challenge

Perniciano, Alessandra

• [HemaRAI] Comparing Centralized and Federated Learning for ECG-Based Chagas Disease Detection

Perotti, Luigi E.

• [CMRxRecon2026] CUT-4DFlow for Accelerated 4D-Flow MRI Reconstruction

Perrin, Dominik

• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Perrin, Simon

• [Off-Grid] Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning

Persson, Sanna

• [BraTS-METS] Detege et Delinea: A Two-Stage Framework for Brain Metastasis Detection and Segmentation in Multimodal MRI
• [BraTS-Inpainting] Retrieval-Augmented Wavelet Diffusion for Local Synthesis of Healthy Brain Tissue

Peruzzo, Denis

• [ShapeMI] Segmentation and keypoints transfer for volumetric medical shapes via functional maps
• [PIPPI] Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI
• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions

Peteleaza, Darius

• [BraTS-PEDs] NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Petersen, Eike

• [iMIMIC] Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study
• [MLMI] Prevalence calibration as shortcut mitigation

Petersen, Jens

• [TIA] Minimum-Cost Path Framework for 3D Airway Centerline Extraction

Petersen, Richard

• [DGM4MICCAI] Weakly Supervised Lung Nodule Segmentation via Plug-and-Play Guidance of 3D Rectified Flow

Petersen, Steffen E.

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank
• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR
• [Off-Grid] Learning Cardiac Motion Priors for Implicit Neural Representations

Petit, Laurent

• [cdmri] AdaViT: Adaptive Viral Tracing Informed Tractography

Petrosyan, Vahe

• [MLCN-2026] Automated Segmentation and Height Measurement of Pituitary Gland

Petrova, Ksenia

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Pezoulas, Vasileios C.

• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Pfeuffer, Manuel

• [ShapeMI] Deep Shape Regression for Planar Curves with Multimodal Covariates

Pfister, Felix

• [MLMI] Knowledge-injection for small-cohort medical image learning

Pham, Ha-Hieu

• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Pham, Hieu

• [FAIMI-BRIDGE-EPIMI] When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation
• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• [DT4H] When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

Pham, Hieu D.

• [UNSURE2026] Beyond Uncertainty: Generalizable Failure Monitoring for Surgical Segmentation under Acquisition Degradation
• [FAIMI-BRIDGE-EPIMI] When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation

Pham, Hoai Nhan

• [COMPAYL] ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Pham, Huy-Hieu

• [ODIN-challenges] Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion
• [MedReason] Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA
• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Pham, Minh Hoang

• [LISA] Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Pham, Ngoc Huy

• [RHEUM-AI] Augmenting the Grey Zone: Generative Models for Ambiguous Kellgren–Lawrence Grade Boundaries in Knee Osteoarthritis

Phenhiran, Phuree

• [EchoRisk] Orthogonalising LVEF: Cyclic Consistency and Expert Cavity Supervision

Phillips, Joanna J.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Phiri, Lighton

• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia

Piao, Zhegao

• [LISA] Dual-Annotation Assisted Boundary-Aware Segmentation for Ultra-Low-Field Pediatric Brain MRI

Pias, Tanmoy Sarkar

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Picard, Florence Dell’Aniello

• [Off-Grid] Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

Pickhardt, Perry J.

• [ShapeMI] VessComNet: Geometry-Aware 3D Vessel Completion Across Non-Contrast and Contrast-Enhanced CT Images

Piella, Gemma

• [PIPPI] EMD-Regularized Heatmap Regression for 3D Ultrasound Prenatal Facial Landmark Detection

Pieper, Steve

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Pillai, Rohan

• [BraTS-GoAT] Generalisation Across Tumor Entities with a From-Scratch Residual-Encoder U-Net: A Baseline and an Analysis of Training–Validation Distribution Shift

Pina, Oscar

• [COMPAYL] Dual-CellNucDETR: Context-Aware Object-Level Cell Analysis

Pini, Alessandro

• [ShapeMI] Learning the Marfan Face: A Conditional Mesh VAE for Explainable Screening and Synthetic Generation

Pino-Román, Jhon Wilmer

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Pipoli, Vittorio

• [COMPAYL] Unified Multimodal Fusion for Cancer Survival Prediction: A Missing-Robust Framework across Histopathology, Radiology, Genomics, and Clinical Data

Piraud, Marie

• [HAIC26] AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Pirk, Soren

• [MedReason] Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA

Piscitelli, Alessandra

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Pitarch-Abaigar, Carla

• [BrainWorks] Scaling Native 3D Self-Supervised DINOv2 for Brain MRI Foundation Models
• [BraTS-Path] Rare-Class Conditional Routing with Foundation Model Representations for Glioma Histologic Sub-region Classification

Piven, Joseph

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Pizarro, Marcelo

• [MedAGI] B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures

Pizer, Stephen M.

• [ShapeMI] Medial Skeletons for Haustral Fold Detection in Colonoscopy
• [ShapeMI] Extending the Evolutionary Skeletal Representation to the Cerebral Cortex Anatomy

Pizurica, Aleksandra

• [Off-Grid] Neural Field Fourier Token Mixers for Medical Image Segmentation
• [ISLES] Deconver for Stroke Lesion Segmentation

Piñol, Miquel

• [CaPTion] Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology

Piórkowski, Adam

• [RHEUM-AI] Advantages and limitations of applying ML techniques in medical data analysis, illustrated with X-ray imaging

Placidi, Lorenzo

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Plakseychuk, Elizabeth

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Planche, Vincent

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Planken, Nils

• [MLMI] Are robust loss functions still relevant for medical image segmentation with noisy labels?

Plas, Rogier L. C.

• [HAIC26] Why AI Fails to Influence Admission Decisions: Evidence from a Case Study

Plate, Johannes F.

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Plaza, Gonzalo

• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Plessis, Axel

• [EMA] StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Pocevičiūtė, Milda

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Poddar, Anushka

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Poirier, Charles

• [cdmri] AdaViT: Adaptive Viral Tracing Informed Tractography

Polejowska, Agata

• [BraTS-Path] Neuropathology in the embedding space of glioblastoma heterogeneity: identifying classification-relevant signals with machine learning

Policelli, Robert

• [COMPAYL] DreaMS-Align: Zero-Shot Spectrum-Embedding Surrogates for Scalable WSI-MSI Co-registration

Politi, Letterio S.

• [BraTS-METS] Ensemble nnU-Nets for pre- and post-operative Brain Metastases Segmentation in BraTS 2026 Task 1

Pomeroy-Ward, Clare

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Ponholzer, Florian

• [AMAI] Dual-Encoder Transfer Learning for Surgical Image Segmentation

Ponnaiah, Maharajah

• [MLMI] Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

Poolpol, Peachapong

• [iMIMIC] Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study

Poot, Dirk H. J.

• [UNSURE2026] Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping
• [RIME] CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI

Pop, Mihaela

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Popineau, Fabrice

• [MultiTab] Single-Pass Conformal Cross-Modal Anomaly Screening with Tabular Foundation Models

Popple, Richard A.

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Porras, Antonio R.

• [ShapeMI] Disentangled Geometric Variational Learning of Normative Pediatric Development from Anatomical Surface Representations of Patients with Pathology
• [Deep-Brea3th] Beyond 3D Convolutions: A 4D Spatiotemporal Transformer-Based Network for Capturing Vascular Kinetics in Neoadjuvant Chemotherapy Response Prediction

Porsche, Nils

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus
• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
• [COMPAYL] RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Portafaix, Aloys

• [MLMI] DeJEPA: Non-Contrastive Self-Supervised Learning for Voxel-Level Representations

Posada, Andrea

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Poudel, Chetan

• [BrainWorks] Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net

Poudel, Khem

• [DEMI2026] CheXQuery: Anatomy and Condition Guided Radiology Report Generation under Limited Data

Poudel, Pranav

• [ShapeMI] A Joint 2D–3D Statistical Shape Model for Orthopedic Reconstruction
• [Off-Grid] Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

Poudel, Sanjaya

• [MIRASOL] Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap
• [DeCaF] Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Pouly, Marc

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Poureh, Amiratabak

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Poynton, Clare B.

• [Deep-Brea3th] Mammo2Tomo: Adapting Mammo-CLIP to learn text-aligned DBT volume representations

Pozzi, Matteo

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Prabhugaonkar, Ojas

• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Prado e Castro, Lígia

• [COMPAYL] QLabelMIL: Inter-Pathology Query Decoding for Multi-Label Gastric Histopathology

Prajapati, Piyush Kumar

• [BraTS-GoAT] RACER: A Radiomic-Adaptive Cohort Ensemble with Refinement for Cross-cohort Brain Tumor Segmentation using Deep Learning

Prakash, Ravi

• [MLCN-2026] Graph-Theoretical Task-Based Frontal Brain Network of Visual Working-Memory Load: An fNIRS Study

Pramod, Anna

• [CaPTion] FaithCLIP: Faithful Geometry-Derived Alignment for Text-Queryable Polyp Representations

Prasad, Rajesh

• [AFRICAI] Resource-Efficient Knowledge Distillation via Simulated Annealing for Lightweight Breast Cancer Detection
• [AFRICAI] NaijaCXR-VLM: A Multi-task Vision-Language Model for Chest X-ray Analysis in Low-resource Settings

Prasanth, Sachin

• [EMERGE] Multi-Paradigm Fusion of XAI Methods for Chest X-ray Explanations
• [EMERGE] FadeFormer: Content-Adaptive Graph Diffusion for Medical Image Classification

Praveen, Paurush

• [MISO] Iterative Gamma Normalization for Inter-Sample Integration of Multiplexed Tissue Images

Pregowska, Agnieszka

• [Off-Grid] Probing implicit neural representations for biomedical image classification in weight space

Preibisch, Christine

• [RIME] CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI

Pretorius, Izak S.

• [MIRASOL] Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings
• [MIRASOL] Towards CPU-Deployable nnU-Net: Training-Free Sensitivity-Guided Compression Across Clinical Domains
• [BraTS-METS] Clinically Informed, Dataset-Adaptive Lightweight Segmentation of Brain Metastases within the nnU-Net Framework

Preuhs, Elisabeth

• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Pri-Tal, Dan

• [MWM] Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model Pipelines

Prieto, Juan Carlos

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Primidis, Thomas

• [MLCN-2026] Rapid Whole-Brain Parcellation

Prince, Jerry L.

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping
• [EMA] Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models

Procancer-I Consortium

• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Prokopenko, Denis

• [RIME] Generative Priors for Total-Body PET Reconstruction

Proskurov, Vladislav

• [ADSMI2024] The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

Pruett Jr., John R.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Psaltis, Peter J.

• [AMAI] BARW-GP: Workload-Aware Threshold Selection for Multi-Label Medical AI Alerting Across Chest X-ray and ECG

Pu, Yao

• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Puche-Sarmiento, Aura C.

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Pudhota, Abhiraj

• [Off-Grid] Piecewise Positional Encodings (PPE) for Medical Image Representation

Puig, Domenec

• [MedAGI] TopoMedKD: Shape- and Topology-Aware Distillation of Zero-Shot MedSAM for Compact Medical Image Segmentation
• [Deep-Brea3th] Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer
• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Pujades, Sergi

• [TIA] Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density
• [ShapeMI] BlendNet: on the Importance of Accurate Local Pre-Registration in the Image Registration Task

Pulido Arias, Dagoberto

• [COMPAYL] Thumbnail-Based Tile Selection for Efficient Whole-Slide Image Classification in Resource-Limited Pathology

Pullen, Owen

• [ShapeMI] Predicting the Progression of Adolescent Idiopathic Scoliosis

Pulvirenti, Roberto

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Punithakumar, Kumaradevan

• [MVAA] When Does Unlabelled Data Help? A Shift-Aware Semi-supervised Study of Multimodal Mitral Valve Segmentation
• [MRIxFields2026] Any-to-Any Brain MRI Field Translation using a Unified Multi-Modality, Multi-Field Conditional Diffusion Model
• [ISLES] Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation
• [CARE] Causality-inspired Polar Approach for Myocardial Pathology Segmentation in Multi-sequence CMR

Punwani, Shonit

• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis

Purayath, Aparna

• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Purzycka, Joanna

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Puybareau, Élodie

• [ShapeMI] Learning to Reconnect: Graph-based Path Classification for Restoring Retinal Vessel Segmentation Connectivity
• [AMPLIFAI] Multi-Source Feature Fusion for LI-RADS Classification in Multi-Phase CT
• [AMPLIFAI] Ordinal-aware Multi-Phase Classification with Manifold Mixup for LI-RADS Assessment in CT

Puyol-Antón, Esther

• [STACOM] Beyond Volume Overlap: Surface Matching for Topology-Aware Coronary Artery Segmentation
• [FAIMI-BRIDGE-EPIMI] Rethinking Explainability for Clinical Trust: A Task-Specific Communicative Layer

Pytel, Peter

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Páez, Jenny C.

• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Pérez, Michaelle

• [MIRASOL] Deployment-Oriented Benchmarking of Optimized Deep Learning Models for Real-Time Fetal Plane Classification on Mobile Devices

Pérez-García, Fernando

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Pérez-Sánchez, Laura

• [DT4H] Towards surgical digital twins: a soft-tissue phantom study on stiffness-ratio calibration for AR-guided interventions

Pérez-Toro, Paula Andrea

• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Qadir, Muhammad Ibtsaam

• [ShapeMI] PanVasc: A Shape-Aware Framework for Peripancreatic Vascular Invasion Assessment in Pancreatic Ductal Adenocarcinoma

Qahqaie, Melika

• [MI4MedFM] LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Qandeel, Ahmad Awad

• [MIART] EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Qayyum, Abdul

• [MVAA] ValveMix: A Unified Semi-Supervised Framework for Multimodal Mitral Valve Anatomy Segmentation
• [CMRSeg] CardioMix: A Unified Framework for Multi-Sequence and Multi-View Cardiac MRI Segmentation

Qayyum, Adil

• [MLCN-2026] The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Qi, Heli

• [REG2026] Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

Qi, Kaijie

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Qi, Pengyuan

• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Qi, Xiuyu

• [DT4H] Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging

Qi, Xuan

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification

Qi, Yanlin

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Qi, Yifan

• [CARE] Wall-Band Anatomical Prior-Guided 3D nnU-Net for Left Atrial Scar Segmentation in LGE-MRI

Qi, Yue

• [MVAA] Hybrid-Supervised Multi-Task Network for Multi-Modal Perioperative Mitral Segmentation
• [CMRSeg] Multi-View CMR Segmentation with Clinical Quantification for Cine and LGE: Vista3D and DINOv2-DPT

Qian, Chunjun

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Qian, Wei

• [CARE] Dual-Task Multi-Sequence MRI Framework: 3D Segmentation and Ensembled Fibrosis Staging of the Liver

Qian, Zhen

• [ADSMI2024] Variational multimodal distillation for diagnosing plaque vulnerability in carotid 3D MRI

Qin, Feiwei

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
• [FoundUS] CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Qin, Fengying

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Qin, Jing

• [MVAA] Mitral Valve Anatomy Segmentation for Multimodal Data

Qin, Wenjian

• [CMMCA] Pulmonary Vascular Fractal Dimension on Non-Contrast Planning CT as a Potential Imaging Biomarker for Early Radiation-Induced Lung Injury: A Multi-Scale Structural Analysis
• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Qin, Xiaoli

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models
• [COMPAYL] AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer

Qin, Yijia

• [CARE] ROI-Guided Dual-Channel Data Construction and Ensemble Learning for Left Atrium Segmentation in the CARE 2026 Challenge

Qiu, Fuzhuang

• [CARE] MaskSAM-PBPR: A Prior-Guided Bidirectional Propagation Refiner for Multi-Sequence CMR Myocardial Pathology Segmentation

Qiu, Jianing

• [MedAgent] CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

Qiu, Kunpeng

• [DGM4MICCAI] Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff

Qiu, Lei

• [MLMI] SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease

Qiu, Xihe

• [MVAA] Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

Qiu, Xuwen

• [FoundUS] VSTA: A DINOv2-Based Unified Semi-Supervised Framework for Ultrasound Biometry

Qiu, Zhaoyu

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Qu, Chongyu

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Qu, Jierui

• [MedAgent] CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

Qu, Qingchao

• [BraTS-PEDs] HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation
• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI
• [BraTS-GoAT] MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

Quadir, A.

• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Que, Ningfeng

• [CMMCA] OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication

Queirós, Sandro

• [EchoRisk] Foundation Model Fine-Tuning with Attention-based Multi-View Fusion for Multi-Task Cardiac Function Assessment

Quellec, Gwenolé

• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices

Quest, Daniel J.

• [AMAI] Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

Quick, Danny

• [COMPAYL] PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

Quill, Gina

• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning

Quint, Stephan

• [HemaRAI] A Novel Semi-Supervised Approach for Red Blood Cell Shape Analysis in Flow

Quon, Brandon

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Quynh, Le Nhu

• [BrainWorks] Reconstruct and Distill: A Hybrid Masked-Autoencoder and Self-Distillation Foundation Model for Clinical Brain MRI

Rabbani, Hossein

• [OMIA] Local scale-free fluctuation analysis for angle closure Detection in AS-OCT images

Rabiu, Abbas M.

• [AFRICAI] PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Racoceanu, Daniel

• [COMPAYL] Disentangled Shared Representations Improve Morpho-Transcriptomic Integration
• [COMPAYL] Program-space Diffusion for Morphology-to-Transcriptomics Prediction

Radeva, Petia

• [HECKTOR] A Segmentation-Guided Framework for TN Staging and Recurrence-Free Survival Prediction in HECKTOR 2026

Radu, Adrian-Marian

• [PedAItrics] Sequence-Agnostic MRI Segmentation of Pediatric Renal Tumors for Postoperative Flank Irradiation

Radwan, Ahmed

• [PIPPI] Mapping Structural Connectivity in the Neonatal Developing Brain using Multi-Component Tissue Modelling

Raffort, Juliette

• [STACOM] GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity

Rafiee, Alireza

• [MIRASOL] WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification

Raggio, Simone

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Raghavan, Dharini

• [AMPLIFAI] PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT

Raghunath, Adarsh

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation
• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

Raghuwanshi, Kuldeep

• [BraTS-GoAT] Self-Supervised Pretraining for Generalizable Brain Tumor Segmentation in the BraTS-GoAT Challenge

Ragni, Flavio

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Rahaman, A.

• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Rahaman, Abdur

• [MIRASOL] Beyond Real-Valued MRI Features: Complex Broad Learning for Early Alzheimer’s Disease Diagnosis

Rahman, Abdul

• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using Ensemble Model

Rahman, Asfaqur

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Rahman, Atiqur

• [ShapeMI] Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification

Rahman, Farzana

• [BraTS-Path] Ensemble of Pathology Foundation Models for Fine-Grained Histologic Classification of Glioma

Rahman, Md Maklachur

• [TIA] Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation
• [MedAgent] Too Tight or Too Loose: How VLM Persona Committees Miscalibrate Inter-Rater Ambiguity in Medical Image Segmentation

Rahman, Rashedur

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities
• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Rahmaniar, Wahyu

• [EMA] MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings

Rahmim, Arman

• [CLiMeM] Learning to Reason Over Physician Corrections: An Interactive Agentic Framework for 3D Tumor Segmentation

Rai, Hari Mohan

• [BraTS-PEDs] Anatomy-Preserving Rare-Subtype Adaptation for Pediatric Brain Tumor Segmentation

Rai, Shyam Nandan

• [UNSURE2026] Layer Selection in VLMs for Zero-Shot OOD Detection via Multi-Resolution Entropy Estimation
• [EndoLINA] TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
• [EMA] MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification
• [DEMI2026] Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching

Raj, Aagnik

• [BraTS-GoAT] Generalisation Across Tumor Entities with a From-Scratch Residual-Encoder U-Net: A Baseline and an Analysis of Training–Validation Distribution Shift

Raj, Abhishek

• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using Ensemble Model

Rajagopalan, Priya

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Rajamani, Sajith

• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Rajani, Hayat

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Raju, Dasari Naga

• [CREATE] Surgical Foundation Model Ensembles for Predicting Annotator Disagreement in Critical View of Safety Assessments
• [COMPAYL] What Do Pathology Foundation Models Learn Beyond Gleason Grade in Prostate Cancer?
• [BrainWorks] DeepNucleiNet: Encoding Spatial Nuclear Patterns for Data-Efficient Necrosis Detection in Computational Neuropathology

Raju, Muntaqim Ahmed

• [MLMI] CirrGuide: A Deep Cascaded Framework for Liver Cirrhosis Segmentation and Severity Classification from T2-Weighted MRI

Rajwa, Pawel

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty

Rakotoarisedy, Irina

• [MIART] CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Ram, Keerthi

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [MLMI] Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification
• [DEMI2026] FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound
• [AMAI] SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Ramanan, Neeraja

• [MI4MedFM] Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

Ramatov, Inomjon

• [SASHIMI] Reverse Spatio-Temporal Disease Progression Modelling

Ramautar, Arshana

• [ShapeMI] Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

Rambour, Clément

• [STACOM] TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

Ramburn, Tirathraj

• [MedAgent] AgentFL-Bench: Benchmarking Small Language Models for Fairness Governance in Federated Clinical AI

Ramesh, Abhijit

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Ramesh, Jayroop

• [ASMUS] USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance

Ramil, Leonard Vincent

• [SWITCH] Projection-Based Quality Assessment of Cerebrovascular Segmentations

Ramos, José

• [TIA] Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation

Ramos-Guerra, Ana D.

• [CARE] Shared Multimodal Learning with Anatomical Pretraining for CT and MRI Whole-Heart Segmentation

Ramzan, Farheen

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Rana, Ayush Singh

• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Rana, Sezal

• [CaPTion] Learning Tissue Interactions for Pathological T-Staging of Rectal Cancer from Whole-Slide Images

Ranasekara, Nipun

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Rane, Roshan P.

• [ShapeMI] Deep Shape Regression for Planar Curves with Multimodal Covariates

Ranem, Amin

• [STACOM] Multi-Stage Vascular Deformation Mapping in Extracranial Carotid Aneurysms
• [Off-Grid] Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning
• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Rangarajan, Krithika

• [CaPTion] SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Rangnekar, Aneesh

• [MIART] Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

Rangwala, Kaizar

• [BraTS-Inpainting] Anatomy-Aware Healthy Brain Inpainting: Integrating Tissue Guidance Across Inputs, Features, and Objectives

Ranjan, Priya

• [MWM] ICUWorld-QR: A Residual Latent World Model for Hourly ICU Physiology

Ranjan, Ravi

• [STACOM] Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2 and T1ρ MRI

Ranjan, Uma

• [BraTS-METS] METS-PRO R2: Lesion-Aware Positive Residual Refinement for Brain Metastasis Segmentation

Ranjbar, Arian

• [MVAA] Multimodal Mitral Valve Segmentation with Cross-Validation Ensembles and Pseudo-label Retraining

Rao, Shilpa

• [BrainWorks] DeepNucleiNet: Encoding Spatial Nuclear Patterns for Data-Efficient Necrosis Detection in Computational Neuropathology

Rapuri, Sampath

• [DGM4MICCAI] 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

Rasaee, Hamza

• [FoundUS] Unified Coarse-to-Fine Landmark Localization for Multi-Domain Ultrasound Biometry

Rashed, Essam A.

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation
• [MLMI] Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification

Rashidi Khani Abadi, Parisa

• [OMIA] Local scale-free fluctuation analysis for angle closure Detection in AS-OCT images

Rashwan, Hatem A.

• [MedAGI] TopoMedKD: Shape- and Topology-Aware Distillation of Zero-Shot MedSAM for Compact Medical Image Segmentation
• [Deep-Brea3th] Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer

Raslan, Ahmed Salah Elsayed

• [MedAgent] A Multi-Agent Framework for Automated MRI Reporting in Glioma: A Real-World Clinical Validation

Rasoulian, Amirhossein

• [MLCN-2026] Paramagnetic Rim Lesion Instance Segmentation in Multiple Sclerosis Using Conditional Convolutions

Rasti, Pejman

• [MIRASOL] Where Does the Discrepancy Come From? Probing Healthy vs. Tumor fMRI with Convolutional and Statistical Lenses

Rathi, Sakshi

• [AIMS-TBI] Dual-Model nnU-Net Strategy for TBI Segmentation and Detection in T1-weighted MRI

Rathnasekara, Tishan

• [HemaRAI] MaLDAM: Masked Localized Domain Adaptation for Malaria Detection in Low-Cost Microscopic Images

Ratiney, Helene

• [MLMI] A coarse to fine approach to magnetic resonance spectroscopy quantification

Rauch, Nikolaus

• [SASHIMI] Realistic Synthetic Data for Annotation-Free Pretraining in Liver Vasculature Segmentation

Rauschecker, Andreas M.

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Rauseo, Elisa

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision

Rauter, Michael

• [RIME] An Anatomy-Driven Thoracic Respiratory Motion Model with Population-Calibrated Presets

Raval, Mehul S.

• [SynthOCT] Coherent Differentiable Inversion for High-Fidelity Digital Phantom Generation in Optical Coherence Tomography
• [MedReason] Answer Readout as a Major Confounder in Medical Multiple-Choice Visual Question Answering
• [BraTS-GoAT] A Self-Configuring Model versus Fused Ensembles for Brain Tumor Segmentation on the BraTS-GoAT Benchmark

Ravelomanana, Gabriel

• [ShapeMI] BlendNet: on the Importance of Accurate Local Pre-Registration in the Image Registration Task

Ravikiran, Manikandan

• [MedAgent] Absent-Byte Diagnoses: Auditing Structured Medical VLM Interfaces

Rawlani, Meenal

• [EchoRisk] Pretrained Echocardiography Video Models for LVEF Estimation and LV Dysfunction Classification

Ray, Nilanjan

• [MVAA] When Does Unlabelled Data Help? A Shift-Aware Semi-supervised Study of Multimodal Mitral Valve Segmentation

Raymond, Confidence

• [MIRASOL] WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
• [MIRASOL] Breast Lesion Detection from Community-Acquired POCUS Images: A Framework Proposal Based on Transfer Learning for Improved Screening in Africa
• [MIRASOL] Benchmarking Explainable AI for Brain Tumour Segmentation and Classification in African MRI
• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset
• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study
• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction
• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa
• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging
• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders
• [MIRASOL] Discrimination Is Not Enough: Calibration-Aware Multimodal Classification of Benign and Malignant Lesions in Contrast-Enhanced Spectral Mammography
• [MIRASOL] Sensitivity-Optimized Tuberculosis Triage Using Nigerian Chest X-Rays
• [MIRASOL] Domain-Specific Augmentation and Uncertainty Quantification for Robust Breast Ultrasound Lesion Segmentation and Classification
• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images
• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images
• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption
• [MIRASOL] Efficient Explainable AI for Multi-Label Chest Disease Detection in Resource-Constrained Settings via Knowledge Distillation and Quantization
• [MIRASOL] Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings
• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy
• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives
• [AFRICAI] From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

Raza, Mukhlis

• [MedAgent] Towards Automated Cardiac MRI Assessment: A MultiAgent CAD Framework for Functional Analysis and Tissue Characterization

Razin, Raha

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Razizadeh, Narges

• [RIME] A Hierarchical Patch-wise Wavelet Loss for High-Frequency Detail Preservation in Accelerated MRI Reconstruction

Razzak, Imran

• [TREAT-MMTB] RADAR: Acquisition-Adversarial Attention Pooling over a Frozen Chest-Radiograph Foundation Model for Tuberculosis Screening
• [REG2026] Faithful Per-Task Attention for Chain-of-Thought Whole-Slide Pathology Report Generation
• [ODIN-challenges] Seeing the Bite: Learned Cross-Arch Occlusion Grounding for Orthodontic Report Generation from Intraoral Scans and Photographs
• [MedReason] MIRA: Modality-Adaptive Image-Grounded Reasoning and Answering for Medical Visual Question Answering under Domain Shift
• [MVAA] BEAT: Boundary-aware Efficient Anatomy-Transfer for Multimodal Mitral Valve Segmentation
• [MRIxFields2026] FieldFiLM: A Unified Conditional Generator for the MRI Field-Strength Continuum
• [LISA] Diverse-Loss Backbone Ensembling for Multi-Label Artifact Quality Assessment of Ultra-Low-Field Pediatric Brain MRI
• [ISLES] Voxels or Millimetres? A Controlled Comparison of Lesion-Size Filtering for Native-Space Stroke Segmentation
• [FoundUS] Self-Assessing Anatomical World Model for Unified Multi-Domain Ultrasound Biometry
• [EchoRisk] EchoMoVE: Multi-View Mixture-of-Experts Regression for Echocardiographic LVEF Estimation under Small-Cohort and Label-Imbalance Constraints
• [CaPTion] Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis
• [CMRxRecon2026] Keep the Encodings Apart: Per-Encoding Complex-Valued Variational Networks for Accelerated 4D Flow MRI
• [CMRSeg] Native-Resolution Multi-Sequence Cardiac MRI Segmentation for Accurate LVEF and Scar Quantification
• [CARE] SCALA: Semi-supervised Cascade for Left Atrial Scar, Cavity, and Multi-Structure CT Segmentation
• [AMPLIFAI] Metric-Aligned Cross-Phase Attention for LI-RADS Categorization of Liver Lesions on Multi-Phase CT

Re, Thomas J.

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Reader, Andrew J.

• [RIME] Generative Priors for Total-Body PET Reconstruction
• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Reddy B., Vishwanath

• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Reddy, Kartik

• [BraTS-PEDs] Brain Extraction, Residual-Encoder Ensembling and Metric-Aware Component Filtering for Pediatric Brain Tumor Segmentation

Reddy, Sai Prajwal

• [BrainWorks] Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net

Reddy, Threya

• [BraTS-Path] Ensemble of Pathology Foundation Models for Fine-Grained Histologic Classification of Glioma

Redheuil, Alban

• [STACOM] Integrated CT-derived left atrial digital twins reveal complementary thrombogenic and arrhythmogenic substrates in atrial fibrillation

Redmond, Peter

• [EMERGE] Label-Efficient Multimodal Microsleep Forecasting via Interpretable Disagreement-Driven Active Learning

Reen, Abhilaksh Singh

• [HAIC26] IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets

Reeves, Neil D.

• [ISIC] Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Rege, Atharva Atul

• [TREAT-MMTB] RADAR: Acquisition-Adversarial Attention Pooling over a Frozen Chest-Radiograph Foundation Model for Tuberculosis Screening
• [MVAA] BEAT: Boundary-aware Efficient Anatomy-Transfer for Multimodal Mitral Valve Segmentation
• [MRIxFields2026] FieldFiLM: A Unified Conditional Generator for the MRI Field-Strength Continuum
• [CARE] SCALA: Semi-supervised Cascade for Left Atrial Scar, Cavity, and Multi-Structure CT Segmentation

Regensburger, Alois

• [ShapeMI] SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections

Regge, Daniele

• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Reig-Calatayud, Jorge

• [BrainWorks] From Edge to Gradient: Quantifying the Infiltrative Margin in Paediatric Diffuse Glioma
• [BraTS-PEDs] Modelling the Infiltrative Margin as a Graded Target: Reaction–Diffusion Soft Labels and Region-Specific Ensembling for Paediatric Brain Tumour Segmentation

Reijnen, Michel M. P. J.

• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Reimann, Regina Rose

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Reinhardt, Joseph M.

• [TIA] Deep Learning Correction of Respiratory Motion Artifacts in 4DCT
• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Reis Santos, Diogo

• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Reisenbüchler, Daniel

• [COMPAYL] FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology

Reissis, Athena

• [PedAItrics] Region-Wise Age Progression in Disentangled VAEs for 3D Face Meshes

Reithmeir, Anna

• [CAPI-WOMEN] Interactive Foundation Models for 3D MR Uterus Segmentation: Performance and Limitations

Reitsam, Nic G.

• [EMA] Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

Rekik, Islem

• [MLCN-2026] Heterogeneous Reservoir Dynamics Reveal Disease-Specific Temporal Fingerprints
• [GRAIL] MetaCBT: A Multi-Layer Connectional Brain Template for Reproducible Population-Level Biomarker Discovery
• [DeCaF] Towards Highly Heterogeneous Federated Learning: A Graph-Based Framework for Architectural and Data Heterogeneity

Remedios, Lucas W.

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Remedios, Samuel W.

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview
• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping
• [EMA] Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models

Ren, Ge

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading
• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Ren, Hongliang

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery
• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
• [EMA] Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

Ren, Tianyi

• [ISLES] T1w MRI Stroke Lesion Segmentation with Optimized Preprocessing and Residual Encoder nnU-Net

Ren, Yihui

• [EchoRisk] MultiPhys-EF: Decorrelated Multi-Signal Fusion for LVEF Estimation in Cardiotoxicity Surveillance

Ren, Yijun

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Renduchintala, Chaithanya

• [MedAgent] Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care

Rengifo, Juan Pablo Betancur

• [MVAA] Formulation Diversity and Boundary-Aware Postprocessing for Mitral Valve Segmentation in 3D TEE and 2D Surgical Video

Renner, Andreas

• [RIME] An Anatomy-Driven Thoracic Respiratory Motion Model with Population-Calibrated Presets

Renoust, Benjamin

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Rentería, Miguel E.

• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Renzulli, Riccardo

• [RHEUM-AI] Ordinal DINOv2 Transfer for Joint-Level SvdH Scoring: What Helps and What Does Not

Retta, Sivaji

• [COMPAYL] CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology
• [ASMUS] Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Reuland, Merijn C.

• [AMAI] Prediction of Atrial Fibrillation Onset from Continuous Intensive Care Unit ECG Monitoring: A Deep Learning Approach

Reyes, Mauricio

• [MIART] DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy
• [BraTS-METS] A Transformer Pipeline with Uncertainty-Guided Curation and Failure Recovery for Brain Metastases Segmentation

Reyna, Favio

• [MIRASOL] Deployment-Oriented Benchmarking of Optimized Deep Learning Models for Real-Time Fetal Plane Classification on Mobile Devices

Reynaud, Hadrien

• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Reynolds, Maxwell

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Rezvani, Farnaz

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Riabets, Mykhailo

• [SASHIMI] MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

Riano-Rojas, Andrea C.

• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Ribeiro, Matheus A. O.

• [CARE] Causality-inspired Polar Approach for Myocardial Pathology Segmentation in Multi-sequence CMR

Ribo, Marc

• [SWITCH] Contrastive Alignment and CT-Guided Distillation for Ultrasound-Only Intracerebral Hemorrhage Screening

Riccomi, Olivia

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Richard, Antoine T.

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Richardson, Carrie Lynn

• [MLMI] Hierarchical MoE for Multi-Modal ILD Diagnosis

Richert, Raphaël

• [ODIN-challenges] Registration Teaches Registration: Transform-Derived Crown Guidance for Semi-Supervised CBCT–IOS Alignment

Richiardi, Jonas

• [Off-Grid] NIMOSEF-R: Neural Implicit Motion and Segmentation Functions with Riemannian Embedding Priors and Breath-Motion Correction
• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Richter, Charlotte

• [COMPAYL] FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology

Rickard, Mandy

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Rickmann, Anne-Marie

• [EchoRisk] CNN and ViT Backbone Fine-Tuning with Pseudo-Label Segmentations for the EchoRisk Challenge

Rieder, Florian

• [PedAItrics] Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

Rietberg, Max T.

• [Off-Grid] Overlap-Free Multi-Organ Shape Synthesis with Implicit Neural Representations

Righetti, Francesca

• [MLMI] Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

Rijhwani, Damini

• [MWM] A Federated Probabilistic Digital Twin for Adverse-Event Risk in Aesthetic Medicine

Rimmel, Arpad

• [MultiTab] Single-Pass Conformal Cross-Modal Anomaly Screening with Tabular Foundation Models

Riou, Olivier

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas

Risse, Benjamin

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Rist, Leonhard

• [TopAneu] Vessel-Guided Aneurysm Localization and Segmentation for TopAneu 2026

Risteski, Leonid

• [SASHIMI] Realistic Synthetic Data for Annotation-Free Pretraining in Liver Vasculature Segmentation

Risuleo, Pietro Eric

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Ritter, Kerstin

• [ShapeMI] Deep Shape Regression for Planar Curves with Multimodal Covariates
• [MLCN-2026] What Do Persistent Misclassifications Tell Us About Alzheimer’s Disease Detection using Structural MRI?
• [FAIMI-BRIDGE-EPIMI] From Fairness Findings to Fairness Claims: An Evidence Classification Scheme for Clinical AI

Rittner, Letícia

• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction
• [MRIxFields2026] A U-Net++ Framework with Self-Supervised Pretraining for Low-to-High Field MRI Translation

Rittscher, Jens

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation
• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion
• [EndoLINA] CPR-Critic: Target-Label-Free Per-Frame Selection of Monocular Depth Estimators for Endoscopy
• [COMPAYL] QUERY-ST: Language-Guided Retrieval Across Histology and Spatial Transcriptomics
• [COMPAYL] Learning to Organ-ize: Low-resolution Tissue Segmentation for Preclinical Toxicological Pathology

Rivaz, Hassan

• [FoundUS] Unified Coarse-to-Fine Landmark Localization for Multi-Domain Ultrasound Biometry
• [BraTS-Inpainting] Glioma Inpainting in Brain MRI via 3D Region Aware Diffusion

Rivera Monroy, Luis Carlos

• [BraTS-Path] Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

Riviere, Beatrice

• [BraTS-GoAT] MISFIT: A Self-Supervised Pretraining Toolkit for 3D Medical Imaging — A Preliminary Test Across Three BraTS 2026 Segmentation Tasks

Roa, Camila

• [iMIMIC] Towards Interpretable Foundation Models for Retinal Fundus Images

Robert, Charlotte

• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

Roberts, Victoria H. J.

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Robinson, Elise

• [MedAGI] A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma

Robinson, Emma

• [MLMI] Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging

Robinson, Torie

• [FAIMI-BRIDGE-EPIMI] What is AI to Us: Exploring Patient Values in Integrating AI for Epilepsy Management

Robu, Maria

• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Rodionov, Roman

• [MLCN-2026] Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
• [MLCN-2026] Rapid Whole-Brain Parcellation

Rodrigo González, Clara

• [iMIMIC] Recursive Uncertainty-Gated Image Registration for Learning-Based Algorithms

Rodriguez, Fausto J.

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Rodriguez, Michael

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Rodriguez-Gonzalez, Blanca

• [MIART] Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy
• [MIART] SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation

Rodriguez-Luna, David

• [SWITCH] Contrastive Alignment and CT-Guided Distillation for Ultrasound-Only Intracerebral Hemorrhage Screening

Rodriguez-Sanchez, Antonio

• [AMAI] Dual-Encoder Transfer Learning for Surgical Image Segmentation

Rodriguez-Vila, Borja

• [MIART] Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy

Rodríguez Carpio, Adrián B.

• [STACOM] Multi-Stage Vascular Deformation Mapping in Extracranial Carotid Aneurysms

Rodríguez González, Blanca

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction

Rodríguez Padilla, Jairo

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning
• [STACOM] Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction

Rodríguez Vila, Borja

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction

Rodríguez, Ana Lamas

• [AMAI] Dual-Encoder Transfer Learning for Surgical Image Segmentation

Rodríguez-González, Blanca

• [BraTS-Inpainting] RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Roering, Chris J.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Rohling, Robert

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Rohé, Marc-Michel

• [CaPTion] A Unified Multi-Organ Framework for Universal Lesion Detection, Segmentation and Longitudinal Tracking in CT Imaging

Rokem, Ariel

• [MedAGI] A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions

Rokuss, Maximilian

• [MAMA-SYNTH] Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans

Roll, Wolfgang

• [AMAI] Population-Scale Segmentation of Penile Tissue in Dixon MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

Rollo, Danny

• [EMERGE] When Simple Wins: Lightweight CNN Encoders for Resource-Constrained Nucleus Segmentation

Romagnoni, Alberto

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Romero, Diego H.

• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Romo, Carlos

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Romão, Henrique

• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Roney, Caroline H.

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR
• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Roohi, Mohammad Amin

• [MedAgent] Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation

Roos, Håkan

• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair

Roos, Justus

• [TIA] Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

Ropinski, Timo

• [MedAgent] A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
• [CLiMeM] Investigating Test-Time Adaptation of Convolutional Neural Networks for Medical Image Analysis under Distribution Shifts

Rosati, Riccardo

• [RHEUM-AI] Towards Multi-Task Ordinal Grading of Knee Osteoarthritis and Calcium Pyrophosphate Deposition Using Vision Foundation Models
• [RHEUM-AI] Prototypical Severity Representation Learning for Automated Calcium Pyrophosphate Deposition Disease Assessment

Roschewitz, Mélanie

• [FAIMI-BRIDGE-EPIMI] Counterfactual Stress Testing for Image Classification Models

Roschger, Cornelia

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Rosenman, Julian

• [ShapeMI] Medial Skeletons for Haustral Fold Detection in Colonoscopy

Roskamp, Wiesje

• [HAIC26] Why AI Fails to Influence Admission Decisions: Evidence from a Case Study

Rosman, Guy

• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

Rossi, Simone

• [UNSURE2026] Beyond Morphological Dilation: Revisiting Conformal Prediction for 3D Tumor Segmentation

Roth, Holger R.

• [DeCaF] FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Rouet, Laurence

• [TopAneu] VaMosV2: A Multi-step Procedural Model That Generates Full 3D Synthetic MRA Volumes for Data Augmentation in the TopAneu ICA Segmentation Challenge

Roufosse, Candice

• [COMPAYL] Vision-Language Models as Zero-Annotation Oracles in Histopathology

Rousseau, David

• [SWITCH] Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging
• [MIRASOL] Where Does the Discrepancy Come From? Probing Healthy vs. Tumor fMRI with Convolutional and Statistical Lenses

Rousseau, François

• [PIPPI] Longitudinal registration of human fetal brain MRI

Rousset, Pascal

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Rouwendaal, Gideon N. L.

• [RIME] CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI

Roux de Bezieux, Hector

• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Roy, Frédérick

• [Off-Grid] Is Reconstruction Fidelity a Reliable Proxy for Segmentation in Medical INRs?

Roy, Nirmalya

• [SAFER] EviCal-RR: Evidence-Calibrated Reasoning for Contactless Respiratory Monitoring

Ruan, Dan

• [Off-Grid] The Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registration

Ruano-Balseca, Josué

• [ODIN] Registration of 2D intraoral radiographs to 3D CBCT using modality-specific encoding

Rubino, Lillian

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Rubio, Ricardo

• [PIPPI] EMD-Regularized Heatmap Regression for 3D Ultrasound Prenatal Facial Landmark Detection

Rudie, Jeffrey D.

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Rudzki, Piotr

• [BraTS-METS] Brain Metastasis Segmentation Using an Ensemble of U-Mamba Models

Rueckert, Daniel

• [TIA] Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models
• [STACOM] No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
• [STACOM] MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI
• [SASHIMI] MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models
• [Off-Grid] Implicit representations are dead. Long live explicit primitives!
• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
• [MultiTab] Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data
• [MedAGI] CMRVision: A Foundation Model for Cardiac MR Image Analysis
• [MIART] Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis
• [GRAIL] Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images
• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks
• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Ruellas, Antonio

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Ruijsink, Bram

• [FAIMI-BRIDGE-EPIMI] Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Ruijters, Danny

• [SWITCH] Arterial Change Detection in Cerebral Digital Subtraction Angiography
• [AMAI] Association of Cardiovascular Risk Factors with Segmentation-Free Motion-Derived Coronary Artery Dynamics

Ruiperez-Campillo, Samuel

• [MIRASOL] Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Ruiz, Ibon Oleagordia

• [MLMI] Benchmarking Self-Supervised Pretraining Strategies for Chest X-Ray Triage and Out-of-Distribution Transfer

Ruiz-Molsgaard, Jonatan

• [FoundUS] PULSE: Pseudo-labelling of Ultrasound by Local-to-Semantic Expansion for Generalisable Biometry

Ruppel, Richard

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings
• [CAPI-WOMEN] A Multi-Site Label Trap in Shape-Based Endometriosis Detection: What Female Pelvic-Organ Shape Does (and Does Not) Encode

Rupprecht, Christian

• [ASMUS] USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance

Rushdi, Muhammad

• [HemaRAI] Task-guided Hierarchical Multi-stain CycleGAN with Contrastive Learning for Robust White Blood Cell Classification

Rushmore, R. Jarrett

• [cdmri] Experimental Study of the Impact of Virtual Reality on Fiber Bundle Editing and Annotation

Ruskó, László

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation
• [DGM4MICCAI] PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

Rustamov, Jaloliddin

• [PIPPI] Mapping Structural Connectivity in the Neonatal Developing Brain using Multi-Component Tissue Modelling

Rusu, Mirabela

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Rutherford, Mary

• [PIPPI] STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs

Ruthotto, Lars

• [cdmri] In-Plane Super-Resolution: A Feasibility Study

Ruyter, Swann

• [COMPAYL] Disentangled Shared Representations Improve Morpho-Transcriptomic Integration
• [COMPAYL] Program-space Diffusion for Morphology-to-Transcriptomics Prediction

Ryabkov, Maxim

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Rydzyński, Grzegorz

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Rygiel, Patryk

• [Off-Grid] Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning

Ryu, Hyunseung

• [CMRxRecon2026] Subspace-Guided Upstream-Downstream Deep Learning Reconstruction for Fast 4D Flow MRI

Rückert, Daniel

• [MLMI] Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging

S, Veeranatesan

• [CMRxRecon2026] Joint Multi-Velocity FlowVN Reconstruction with Flow-Aware Supervision for Accelerated 4D Flow MRI

S. M. A., Sharif

• [RIME] TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

Saadat, Armin

• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Saadat, Asir

• [SAFER] Robustness Evaluation of Surgical Medical Visual Question Answering Models Under Textual Perturbations

Saadatnia, Mohammad

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Saadatnia, Mohammadhadi

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Saadatnia, Saba

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Saadeldin, Mohamed

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI
• [Deep-Brea3th] SAM-Guided Probability Representation for Breast Ultrasound Lesion Segmentation

Saarakkala, Simo

• [RHEUM-AI] Augmenting the Grey Zone: Generative Models for Ambiguous Kellgren–Lawrence Grade Boundaries in Knee Osteoarthritis

Saarinen, Annamarie

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot

Saavedra, Jose M.

• [MedAGI] B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures
• [MIRASOL] LDCT-to-SDCT as a Bridge Problem: Single-Step Residual Endpoint Flow Matching for Real-Time Denoising

Saba, Magdi

• [STACOM] Characterising cardiac tissue properties with graph neural networks

Sabir, Muhammad

• [MLMI] Reducing False Positives in Pancreatic Tumor Segmentation via Multi-Scale Texture Enhancement and Curriculum Learning

Sabour, Amirhossein

• [MLMI] HyperPatch: Hypercolumns for Transformer Backbones in Medical Segmentation

Sadafi, Ario

• [AIIG2024] Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

Sadanandan, Binesh

• [iMIMIC] Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs
• [UNSURE2026] Predictive Entropy as a Joint Screen for Error and Paraphrase Instability in Medical Vision-Language Models

Sadegheih, Yousef

• [cdmri] Spatial Masked-Set Learning for Sparse Multi-Shell Diffusion MRI Signal Synthesis

Sadek, Yusuf Khaled

• [BraTS-Path] Dual-LoRA Adaptation of Pathology Foundation Models for Glioblastoma Histologic Pattern Classification

Sadique, M. S.

• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Sadique, MD Shibly

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting

Sadreddini, Kimia

• [MLMI] Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

Sadri, Amir Reza

• [PedAItrics] Transformer-Based Manifold Modeling of Novel Image Quality Metrics For Pediatric Brain MRI

Sadée, Christoph

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Saeed, Numan

• [SAFER] CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs
• [COMPAYL] ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

Saeed, Shaheer U.

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment
• [UNSURE2026] Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR
• [EMA] Active few-shot segmentation by reinforcing data selection
• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Saeedi, Sara

• [BraTS-GoAT] Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

Safavi, Saeid

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Safdar, Aon

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Safwan, Itbaan

• [EMA] Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs

Sagl, Benedikt

• [ODIN-challenges] From Voxels to Views to Reports: A Segmentation-Guided VLM Pipeline for CBCT Report Generation

Saha, Anup

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Saha, Pramit

• [MIRASOL] Effect of Pretrained Initialisation and Component-Wise Tuning on Lightweight VLMs for Ultrasound Report Generation

Said, Said Djafar

• [BraTS-Inpainting] CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

Saillard, Émile

• [TIA] TrICON: Learning Diffeomorphic Lung CT Registration through Triplet Consistency

Saipradeep, Vangala G.

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Sait, Saad Yunus

• [EMERGE] Multi-Paradigm Fusion of XAI Methods for Chest X-ray Explanations

Saito, Susumu

• [ADSMI2024] Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

Sajid, M.

• [MIRASOL] Beyond Real-Valued MRI Features: Complex Broad Learning for Early Alzheimer’s Disease Diagnosis
• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Sakalli, Nazan Karagoz

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Sakib, Shadman

• [SAFER] EviCal-RR: Evidence-Calibrated Reasoning for Contactless Respiratory Monitoring

Saksena, Vanya

• [UNSURE2026] Uncertainty Estimation in Deep Learning MRI Reconstruction with Focus on Pathologies

Salahuddin, Zohaib

• [MAMA-SYNTH] Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching

Salanitri, Federica Proietto

• [AFRICAI] ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

Salas, Rodrigo

• [LISA] Rigor over Novelty in Ultra-Low-Field Pediatric Brain MRI: Quality Control and Subcortical Segmentation for the LISA Challenge 2026

Salcudean, Septimiu E.

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Saleem, Afsah

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Saleem, Tausifa Jan

• [CLiMeM] An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

Saleh, Moutaz

• [MLCN-2026] Toward Personalized Dyslexia Classification via Dynamic Functional Connectivity and Explainable AI

Salehi, Aram

• [MRIxFields2026] Conditional Flow Matching for Cross-Field MRI Harmonisation
• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation

Salehi, Raheleh

• [AIIG2024] Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

Salehi, Soren

• [DEMI2026] Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Saleknia, Amir Hossein

• [MLMI] Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
• [ELAMI] Contrastive Answer Calibration for Medical Visual Question Answering

Salih, Mahnaz Mohammed

• [MedReason] Two-Stage LoRA Adaptation of Qwen3-VL for Image-Grounded Medical Visual Question Answering

Sall, Cheikh

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Sall, Ousmane

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Salort-Benejam, Laura

• [Off-Grid] 4D Triangle Splatting Reconstruction of Dynamic Endoscopic Scenes from Monocular Videos

Salti, Samuele

• [ODIN] Attention Voting for 3D Cephalometric Landmark Detection

Salvagnini, Felipe C. R.

• [MIRASOL] AutoFLIM: Joint Optimization of Architecture, Markers, and Hyperparameters for Efficient Medical Image Segmentation
• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Samadani, Uzma

• [AIMS-TBI] Dual-Model nnU-Net Strategy for TBI Segmentation and Detection in T1-weighted MRI

Samansee, Askas

• [EchoRisk] Orthogonalising LVEF: Cyclic Consistency and Expert Cavity Supervision

Samanta, Raunak

• [DT4H] Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

Samek, Wojciech

• [UNSURE2026] Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation

Sanchez, Karen

• [MedAGI] B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures
• [ISIC] LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Sanchez, Maria

• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Sanchez, Veralia Gabriela

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Sanchez-Gonzalez, Javier

• [ASMUS] Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

Sandbhor, Bhavesh

• [BraTS-METS] Seeing Lesions, Not Voxels: A Connected-Component-Weighted Dual-Map Focal Loss and Per-Group Oversampling for Brain Metastases Segmentation and Detection

Sandeep

• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Sandström, Charlotte

• [MLMI] CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair

Sandu, Mariana

• [BraTS-PEDs] NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Sanelli, Pina C.

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Sang, Haolin

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Sangalli, Sara

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials

Sangani, Krish

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Sani, Peush

• [CARE] Iterative Human-in-the-Loop Learning for Accurate Segmentation of Liver

Sankar J., Nandana

• [ODIN] Diagnosis-Aware Multimodal Retrieval for Paired CBCT Scans and Clinical Notes

Sankowski, Roman

• [COMPAYL] Act or defer? Multimodal intraoperative diagnosis of CNS tumours: A proof-of-concept study

Sanna, Angelina

• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Sanni, Henry Ananyi

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction
• [MIRASOL] Domain-Specific Augmentation and Uncertainty Quantification for Robust Breast Ultrasound Lesion Segmentation and Classification
• [MIRASOL] Efficient Explainable AI for Multi-Label Chest Disease Detection in Resource-Constrained Settings via Knowledge Distillation and Quantization

Santiago, Carlos

• [ML-CDS2026] Multimodal and Longitudinal Modeling for Predicting Alzheimer’s Disease Progression
• [Deep-Brea3th] Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Santinha, João

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Santos, Cid

• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Santos, Mariana

• [TIA] Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation

Sanver, Tugba

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank

Sappo, Charlotte R.

• [LISA] LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MRI

Saquib, Mohammad Nazmus

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Saragiotis, Savvas

• [CaPTion] Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Saraya, Mohamed Sabry Fouad

• [BraTS-METS] Runtime-Aware Ensemble Optimization for Brain Metastasis Segmentation under Strict Deployment Constraints

Sarin, Kavita

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Sarkar, Anuska

• [TREAT-MMTB] Prevalence-Aware Rank Fusion for Tuberculosis Cavity Detection and Segmentation

Sarkar, Ram

• [EMA] SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images

Sarrocco, Simone

• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations

Sasaki, Keita

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Satgunaseelan, Laveniya

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Sathish, Rachana

• [SAFER] Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding

Sauvigny, Thomas

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections

Savardi, Mattia

• [ODIN] AI-Based Landmark Detection for Condylar Asymmetry Assessment in Patients with Juvenile Idiopathic Arthritis

Savini, Giovanni

• [BraTS-METS] Ensemble nnU-Nets for pre- and post-operative Brain Metastases Segmentation in BraTS 2026 Task 1

Sawaya, Melissa

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Scalvini, Florian

• [PIPPI] Longitudinal registration of human fetal brain MRI

Scannell, Cian M.

• [STACOM] Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
• [CMRSeg] Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

Scarimbolo, Robert

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Scarsi, Nicolò

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Schabel, F. Maria

• [COMPAYL] Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus

Schabel, Matthias

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Schaerer, Joel

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Schaller, Melanie

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Schanne, Daniel

• [MIART] DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy

Scheel, Norman

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease

Schenk, Ruben W. G.

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Schering, Jan

• [DT4H] Cohort-Level Twinning in an Agent-Based Model of Metastatic Tumor Growth

Scherl, Claudia

• [ShapeMI] DINE: Distance Is Not Enough Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration

Schernich, Arne

• [UNSURE2026] Beyond Boundary Noise: Aggregated Aleatoric Uncertainty Fails to Capture Presence Ambiguity in 3D Lung Nodule Segmentation

Scheuplein, Joshua

• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Schiappacasse, Luis

• [MIART] Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

Schick, Ulrike

• [MIART] Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis

Schievano, Silvia

• [PedAItrics] Region-Wise Age Progression in Disentangled VAEs for 3D Face Meshes

Schijns, Olaf E. M. G.

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

Schiratti, Jean-Baptiste

• [SASHIMI] CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Schmid, Susanne

• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction

Schmidt, Constanze

• [STACOM] Beyond the Left Atrium: Joint Generative Modeling of Bi-Atrial Anatomy

Schmidt, Robin

• [CAPI-WOMEN] Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning
• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Schnabel, Julia A.

• [RIME] CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI
• [RIME] Generative Priors for Total-Body PET Reconstruction
• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
• [MultiTab] Whole-Body MRI Classification via Prompt-Based Clinical Conditioning
• [GRAIL] Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening
• [CAPI-WOMEN] Interactive Foundation Models for 3D MR Uterus Segmentation: Performance and Limitations
• [BrainWorks] Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions
• [ADSMI2024] Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations

Schnabel, Till N.

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Schobesberger, Martin

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Scholz, Daniel

• [MIART] Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis

Schoon, Erik J.

• [CaPTion] Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

Schoonjans, Anna

• [EMERGE] Annotation-Free Structured Delineation for Weakly Supervised PET Lesion Segmentation

Schousboe, John T.

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Schreiber, Stefanie

• [SASHIMI] Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Schreiter, Hannes

• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Schreuder, Ramon-Michel

• [CaPTion] Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

Schroder, Anne-Nele

• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Schroeppel, Thomas J.

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Schubert, Rainer

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Schuller, Björn W.

• [ISLES] Evaluating Pipeline Design Choices for Chronic Stroke Lesion Segmentation in T1-Weighted MRI

Schulthess, Nico

• [UNSURE2026] Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection

Schultz, Robert

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Schulz-Heise, Susanne

• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Schulz-Menger, Jeanette

• [STACOM] A Neural Implicit Cardiac Atlas with Clinically Readable Subject Embeddings

Schulze, Kenrick

• [HAIC26] IBS: Interactive Batch Selection for Medical Image Segmentation

Schwab, Andreas Franz

• [EndoLINA] TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection

Schween, Melissa

• [PIPPI] STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs

Schweitzer, Ronny

• [STACOM] SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

Schweizer, Leonille

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Schäfer, Patricia

• [EMERGE] Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening

Schönecker, Jonathan

• [MultiTab] Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data

Schüffler, Peter J.

• [COMPAYL] HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology
• [COMPAYL] CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

Sdika, Michaël

• [TIA] TrICON: Learning Diffeomorphic Lung CT Registration through Triplet Consistency
• [MLMI] A coarse to fine approach to magnetic resonance spectroscopy quantification

Seale, Thalia

• [STACOM] Continuous Volumetric Cardiac Motion Modelling for Analytical Derivatives from Cine MRI

Sebastian, Antony

• [MedAGI] Coherence Is Not a Green Light: The Limits of Self-Consistency as a Label-Free Reliability Proxy for Medical Vision–Language Models

Sebina, Seipone Talama

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Seck, Idrissa

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Seeböck, Philipp

• [STACOM] GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification
• [STACOM] SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

Seelamantula, Chandra Sekhar

• [MLMI] Augmentation Strategy for DINO in Glaucoma Classification
• [ELAMI] Pixel-FLAIR: Leveraging Anatomical Segmentation for Region-Specific Supervision in Retinal Foundational Vision-Language Models

Seenivasan, Lalithkumar

• [MedAGI] Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos

Segars, Paul

• [SASHIMI] Virtual Patients, Real Gains: Simulated CT from Digital Twins for Multi-Task Lung Nodule Analysis

Seibel, Marc S.

• [OMIA] Weakly Supervised Retinal Layer Segmentation in OCT

Seidu, Idaya

• [AMAI] On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation

Seijo, Luis M.

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Seker, Mustafa Ege

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
• [Deep-Brea3th] Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

Selim, Abdulrahman Mohamed

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Selim, Sahar

• [MIRASOL] Contrastive Radiomics-to-Image Alignment for Cross-Modal Mammographic Mass Retrieval
• [MIRASOL] Compact Radiomics-Guided FiLM Conditioning for Ultrasound-to-MRI Translation
• [MIRASOL] Segmentation-Guided Inpainting and Imbalance-Aware Learning for Robust Ovarian Tumor Classification in Ultrasound
• [MIRASOL] Uncertainty-Based Referral for Selective Chest X-Ray Classification
• [MIRASOL] ExBale: Quantitative Evaluation of Explainability Alignment in Ovarian Ultrasound Imaging

Selma, Malak Ben

• [MIRASOL] Eyes on diet: a low-resource framework connecting diabetic retinopathy screening to regional nutritional guidance

Selvam, Minmini

• [MedAgent] MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring

Semchin, Daniel

• [ShapeMI] Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model

Semenkov, Ilia

• [FoundUS] Hierarchical Ensembles of Complementary Landmark Detectors for Multi-Task Ultrasound Biometry

Sen, Mehmet Umut

• [ISIC] DermaNet: Flexible-View Fusion for Dermoscopic–Clinical Skin Lesion Classification

Sena-Alvarez, Enric

• [Deep-Brea3th] Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation

Seno, Shigeto

• [ADSMI2024] Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages

Seo, Hyewon

• [MLCN-2026] TIIC: Tabular Integration of Imaging and Clinical Data for Interpretable Multimodal Inference for Alzheimer’s Disease

Seo, Minhoo

• [CMRxRecon2026] Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

Seo, Minjee

• [DT4H] tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins
• [DT4H] Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
• [DT4H] Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Seol, Minju

• [DT4H] tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins
• [DT4H] Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
• [DT4H] Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Sepora, Tshegofatso Olorato

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Serio, Luigi

• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Serkova, Elena

• [CREATE] Hierarchical Quality Assessment of Medical Image Synthesis for Clinical Translation

Sermesant, Maxime

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning
• [STACOM] Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound
• [STACOM] Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction
• [GRAIL] Topological Deep Learning on Graphs for Arrhythmia Risk Prediction From Images

Serra-Castanera, Alicia

• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Serra-García, Laura

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Serrano, Diego

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort

Servin, Frankangel

• [DT4H] Modeling Progression of Microwave Ablation Volumes by Neural Surrogates

Seshadri, Suresh

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification
• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data

Setiawan, Cindy Adelia

• [SAFER] Faithful Reasoning, Not More Reasoning: Chain-of-Thought Ablation for Tuberculosis Findings in Indonesian Chest X-Rays

Sgroi, Leonardo

• [MIRASOL] Efficient Diffusion-Based Synthetic Augmentation with Automatic OOD-Driven Filtering for Long-Tailed Skin Lesion Classification in Resource-Constrained Settings

Sha, Qingrui

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Sha, Shiyu

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition

Shaaban, Mai A.

• [CLiMeM] An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

Shafi, Shoiab

• [AMAI] Modeling Abnormality as Semantic Deviation for Few-Shot Medical Anomaly Detection

Shafiq, Aleena

• [Deep-Brea3th] Structured Report Generation from Digital Mammograms via Instruction-Tuned LoRA Adaptation

Shafique, Abubakr

• [COMPAYL] Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models
• [COMPAYL] AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer

Shafique, Khurram

• [BraTS-Path] Foundation-Model Ensembling with Vision–Language-Informed Representations for Glioblastoma Subregion Classification

Shah, Daksh K.

• [Off-Grid] K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

Shah, Ovais Iqbal

• [HECKTOR] Geometry Meets Metabolism: Interpretable Segmentation, Staging, and Prognosis in Head and Neck PET/CT

Shah, Palak

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Shah, Sarth Santosh

• [TREAT-MMTB] RADAR: Acquisition-Adversarial Attention Pooling over a Frozen Chest-Radiograph Foundation Model for Tuberculosis Screening
• [MedReason] MIRA: Modality-Adaptive Image-Grounded Reasoning and Answering for Medical Visual Question Answering under Domain Shift
• [MVAA] BEAT: Boundary-aware Efficient Anatomy-Transfer for Multimodal Mitral Valve Segmentation
• [MRIxFields2026] FieldFiLM: A Unified Conditional Generator for the MRI Field-Strength Continuum
• [CARE] SCALA: Semi-supervised Cascade for Left Atrial Scar, Cavity, and Multi-Structure CT Segmentation

Shah, Yash

• [STACOM] GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification

Shah, Yasir Ali

• [Deep-Brea3th] Structured Report Generation from Digital Mammograms via Instruction-Tuned LoRA Adaptation

Shahabuddin, Khawaja

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Shahi, Maryam

• [COMPAYL] A Benchmark of Foundation Models for Chemotherapy Response Scoring in High-Grade Serous Ovarian Cancer

Shahid, Nafis Fuad

• [DeCaF] When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control

Shahin, Mohammad

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Shahzad, Ayesha

• [COMPAYL] Bidirectional Translation Between ISH and H&E Glioblastoma Tissue Sections via Attention-Enhanced CycleGAN

Shaikh, Muhammad Annas

• [EMA] Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs

Shakya, Mahesh

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Shalaby, Mariam

• [CaPTion] Confidence-Aware Multimodal Survival Prediction in Renal Cell Carcinoma using Graph-Based Histopathology Encoding

Sham, Yuk

• [AIMS-TBI] Dual-Model nnU-Net Strategy for TBI Segmentation and Detection in T1-weighted MRI

Shamaei, Amirmohammad

• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction

Shambangu, Lucia Ndapewa

• [MIRASOL] MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI

Shamsia, Ahmed

• [RHEUM-AI] Augmenting the Grey Zone: Generative Models for Ambiguous Kellgren–Lawrence Grade Boundaries in Knee Osteoarthritis

Shanbhag, Dattesh D.

• [MLMI] Model-based distortion correction for Magnetic Resonance Echo Planar Imaging
• [MLMI] Efficient Test-Time Optimization via Knowledge Distillation for Modality-Agnostic Medical Image Registration
• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent
• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Shang, Ping

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Shang, Xianwen

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Shao, Gujie

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Shao, Junhao

• [ODIN-challenges] Medication-Safe Dual-Encoder Retrieval for Structured Dental Report Prediction from CBCT

Shao, Liangjing

• [EMA] Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
• [EMA] Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

Shao, Shuwei

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition

Shao, Tuhang

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Shapey, Jonathan

• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Sharif, Naeha

• [OMIA] ArTiSan: Archetype-Aware TimeSformer for Fast Glaucoma Progression

Sharma, Ajay

• [LISA] Enhancing Neuroanatomical Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI

Sharma, Dhruv

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Sharma, Gaurang

• [DeCaF] LAFFS: LASSO Assisted Federated Feature Selection

Sharma, Harshita

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Sharma, Jai Kumar

• [HemaRAI] Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?

Sharma, Manju

• [MIART] Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy

Sharma, Pakhi

• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Sharma, Puneet

• [STACOM] MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI
• [MedAGI] CMRVision: A Foundation Model for Cardiac MR Image Analysis

Sharma, Rakesh

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Sharma, Surbhi

• [CLIP] GLR-MM: Graph-Based Global–Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities

Sharon-Shahak, Tom

• [MWM] Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model Pipelines

Shatabda, Swakkhar

• [MLMI] HyProDINO: A Hybrid Prototype Guided DINO Framework for Cross-Domain Few-Shot Medical Image Segmentation

Shea, Daniel

• [MIRASOL] Beyond validation loss: Clinically-tailored metrics for hyperparameter optimization improve a model’s clinical performance

Shehata, Nairouz

• [ShapeMI] A Joint 2D–3D Statistical Shape Model for Orthopedic Reconstruction
• [STACOM] Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
• [Off-Grid] Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

Sheikh, Mohammad Tufail

• [BraTS-GoAT] RACER: A Radiomic-Adaptive Cohort Ensemble with Refinement for Cross-cohort Brain Tumor Segmentation using Deep Learning

Sheikh-Bahaei, Nasim

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Shen, Ailing

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Shen, Chushu

• [Off-Grid] The Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registration

Shen, Dinggang

• [MWM] TNCMeasure: Anatomy-Guided and Geometry-Constrained Vision-Language Learning for Thyroid Nodule-to-Capsule Distance Measurement
• [MVAA] MVAA-UniSeg: A Query-Conditioned Universal Model with Modality-Specific Experts for Mitral Valve Segmentation
• [MRIxFields2026] FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization
• [MRIxFields2026] Unified Cross-Field Multi-Contrast MRI Translation and Harmonization
• [MLMI] Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning
• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis
• [MLMI] A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement
• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT
• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms
• [MLMI] Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease
• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [MAMA-SYNTH] Supervised Virtual Contrast Enhancement in Breast MRI with Multi-Domain Losses and Lesion-Aware Decoding
• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Shen, Li

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Shen, Linlin

• [MVAA] Task-Specific Multimodal Mitral Valve Segmentation for MVAA 2026
• [FoundUS] A Unified Foundation-Model Framework with Semi-Supervised Consistency and Heatmap Ensembling for Nine-Task Ultrasound Biometry Regression

Shen, Mark D.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Shen, Wu

• [ODIN-challenges] Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Sheng, Ke

• [Off-Grid] The Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registration
• [MIART] Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy
• [AMPLIFAI] Dual-Scale Phase-Aware 3D ViT with Bounded Tubular Rescue for LI-RADS Classification

Shepherd, John A.

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Shern, Tyler

• [Deep-Brea3th] Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Shernazarov, Ulugbek

• [SASHIMI] Reverse Spatio-Temporal Disease Progression Modelling

Sheshadri, Ajay

• [TIA] Interpretable Region-wise Gated CT–Ventilation Fusion for FEV1 Prediction in COPD

Shet, Riya Deepak

• [BraTS-GoAT] Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty

Sheth, Nakul

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Sheth, Neem

• [MIRASOL] CORTEX: Deep Reinforcement Learning with Pulse-Sequence Computation for Resource-Efficient MRI Protocol Adaptation

Shi, Feng

• [MRIxFields2026] Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation
• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT
• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Shi, Minghai

• [EchoRisk] MultiPhys-EF: Decorrelated Multi-Signal Fusion for LVEF Estimation in Cardiotoxicity Surveillance

Shi, Pengcheng

• [MedAGI] U-VLM: Hierarchical Vision Language Modeling for Report Generation

Shi, Xinlu

• [HECKTOR] Efficient Multi-Task Framework for Head and Neck Segmentation, Staging, and Prognosis

Shi, Yiming

• [HEADLINE] Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

Shi, Yuanchun

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Shiaki, Nunsi

• [MIRASOL] Silent Failures in Degraded Chest X-Rays: Benchmarking Uncertainty Methods for Pneumonia Triage in Resource-Constrained Settings
• [MIRASOL] TRIDENT: Safety-Gated, On-Device Triage for Paediatric Teledermatology on Pigmented Skin
• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Shiaki, Tsintop

• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Shifat, Shadril Hassan

• [MI4MedFM] Which Reliability Signal to Trust? Output vs. Representation Space Uncertainty Under Distribution Shift in Pathology Foundation Models

Shigematsu, Kosuke

• [MVAA] A Modality-Specific Ensemble for Multimodal Mitral Valve Anatomy Analysis
• [FoundUS] A Single Unified DSNT Model with Protocol-Calibrated Readout for Generalizable Multi-Task Ultrasound Biometry

Shih, Helen A.

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

Shiku, Kaito

• [AMAI] Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

Shim, Hyo Sup

• [REG2026] A Branch-Aware, Confidence-Gated Reasoning Framework for Whole Slide Images
• [COMPAYL] Virtual immune cell prediction from H&E Whole Slide Images

Shim, Vickie

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Shimizu, Akinobu

• [PedAItrics] Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation
• [MWM] Stochastic High-Frequency Modeling for Uncertainty-Aware Synthetic CT Generation in Radiotherapy

Shimizu, Shosei

• [PedAItrics] Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation

Shin, Asuka

• [MVAA] A Modality-Specific Ensemble for Multimodal Mitral Valve Anatomy Analysis

Shin, Dongjin

• [REG2026] Diagnosis-Grounded Structured Decoding for Pathologist Reasoning-Trajectory and Report Generation

Shin, Gang Hyun

• [CMRxRecon2026] Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

Shin, Heeseung

• [BraTS-GoAT] AIstatLab at BraTS-GoAT 2026 Task 3: Quality-Controlled Consensus Pseudo-Labeling and Dense Expert Adaptation

Shin, Hwajin

• [MLCN-2026] What Do Persistent Misclassifications Tell Us About Alzheimer’s Disease Detection using Structural MRI?

Shin, Jaeseung

• [HAIC26] Verbalized Findings as the Interface for Near-Term Human–AI Collaboration in Radiology: A Clinical Perspective on LLM-Assisted Diagnosis
• [HAIC26] Human Checkpoints in Automated Speech-to-Report Generation: Radiologist Correction for CEUS LI-RADS Categorization
• [ASMUS] Beyond Single Diagnostic Accuracy: Three-Level Hierarchical Evaluation of Accuracy and Reliability in Multimodal LLM for Ultrasound Interpretation

Shin, Minwoo

• [DT4H] 3D Computational Modeling of the Vascular Heat-Sink Effect in Microwave Ablation of Tumors Close to the Aorta
• [DT4H] Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma
• [DT4H] Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation
• [DT4H] PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation
• [DT4H] 3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification

Shin, Na-Young

• [PIPPI] Self-Tuning Age-Conditioned Choroid Plexus Segmentation in Neonatal MRI

Shin, Taehoon

• [TREAT-MMTB] Global-to-Local Segmentation and Context-Aware Detection of Tuberculosis Cavity in Chest X-rays

Shin, Wonsun

• [FAIMI-BRIDGE-EPIMI] What is AI to Us: Exploring Patient Values in Integrating AI for Epilepsy Management

Shin, Youmin

• [PedAItrics] PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Shiri, Mahshid

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Shirokikh, Boris

• [ADSMI2024] The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

Shit, Suprosanna

• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Shivam Dilipbhai, Kotak

• [iMIMIC] How Well Do Chest X-Ray VLM Attention Overlays Match Radiologist Boxes? A Cross-Model Audit and Radiologist Reader Study

Shoaei Taklimi, Mersad

• [TopAneu] Vessel-Guided Aneurysm Localization and Segmentation for TopAneu 2026
• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Showunmi, Ayatullah Hanif

• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Shrestha, Pralhad Kumar

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Shreter, Roni

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes

Shriram, K. S.

• [RIME] Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction
• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Shu, Hai

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Shu, Han-Jay

• [UNSURE2026] Subgroup-Dependent Report-Label Noise Distorts Fairness Audits of Chest X-ray Classifiers: A Prediction-Powered Correction

Shukla, Harshit

• [AIMS-TBI] Hybrid Ensemble with Multi-Patch Fine-Tuning for Traumatic Brain Injury Segmentation

Shukla, Rahul

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Si, Su

• [ASMUS] ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

Sia, Ching-Hui

• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins

Siakallis, Loizos

• [MLMI] Beyond Global Macro-AUC: Class-Wise Modality Contribution in Multicentre MRI-Based Glioma Grading

Sibly, Md. Noman Biswas

• [MI4MedFM] Which Reliability Signal to Trust? Output vs. Representation Space Uncertainty Under Distribution Shift in Pathology Foundation Models

Siddiqi, Noreen S.

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation
• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Siddiqui, Rameez Ur Rehman

• [LISA] Deep Learning Models for Automated Quality Assessment and Artifact Reduction in Ultra-Low-Field Pediatric Brain MRI

Siddiqui, Saaim

• [CMRSeg] Per-View Specialist Networks for Multi-Sequence, Multi-View Cardiac MRI Segmentation and Clinical Quantification: A Comparison of nnU-Net and MedNeXt Backbones

Sidiqi, Bilal

• [UNSURE2026] Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR

Sidoti, Gisella

• [COMPAYL] Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Sidume, Freedmore

• [MIRASOL] FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa
• [MIRASOL] Clean AUC Is Not Enough: Architecture-Specific Failure Modes of Tuberculosis Classifiers under Digitisation Artifacts

Sid’El Moctar, Sidi Mohamed

• [MLMI] Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging

Sierra, Francisco J.

• [MLCN-2026] Graph-Theoretical Task-Based Frontal Brain Network of Visual Working-Memory Load: An fNIRS Study

Sigal, Leonid

• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Signori, Michele

• [ODIN] AI-Based Landmark Detection for Condylar Asymmetry Assessment in Patients with Juvenile Idiopathic Arthritis

Signoroni, Alberto

• [ODIN] AI-Based Landmark Detection for Condylar Asymmetry Assessment in Patients with Juvenile Idiopathic Arthritis

Sijbers, Jan

• [ODIN] Registration of 2D intraoral radiographs to 3D CBCT using modality-specific encoding

Sijtsema, Nanna M.

• [MIART] PR3DICTR: a 3D Image-Based Deep Learning Prediction Modelling Framework and its Use in Radiotherapy
• [MIART] More Comprehensive and Reliable Deep Learning Normal Tissue Complication Probability Models for Head and Neck Cancer Patients

Silbernagel, Malte

• [TIA] Minimum-Cost Path Framework for 3D Airway Centerline Extraction

Silva, Wilson

• [TIA] Ordinal deep learning for pulmonary nodule risk assessment: an external validation study on a novel screening cohort
• [MLMI] Representation Matters: Rethinking Domain Generalization in Polyp Segmentation

Silva-Rodríguez, Julio

• [MedAGI] Semi-Supervised Few-Shot Adaptation of Vision-Language Models

Silvestre, Guénolé C. M.

• [CaPTion] Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer
• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Sim, Marc

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Simard, Nicholas

• [BrainWorks] RBT-Faz: Register-Bottleneck 3D Swin-UNETR with Clinical Text Alignment for Ordinal Fazekas Grading from FLAIR MRI

Simion, Ana-Maria

• [Deep-Brea3th] A Multi-Stage Deep Learning Framework for the Automated Assessment of Mammographic Microcalcifications

Simion, Ioana

• [ShapeMI] Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

Simon, Laurent

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Simonetti, Renato

• [SWITCH] Contrastive Alignment and CT-Guided Distillation for Ultrasound-Only Intracerebral Hemorrhage Screening

Simões, Inês

• [ML-CDS2026] Multimodal and Longitudinal Modeling for Predicting Alzheimer’s Disease Progression

Simões, Rita

• [MIART] Which Edits Matter? Simulating Realistic Local Corrections to Organ-of-Interest DL Segmentation and Predicting Dosimetric Impact
• [MIART] Recognizing Dosimetrically Irrelevant Edits of Auto-Segmentations in Head and Neck Organs of Interest

Singh, Amrita

• [SAFER] CADRE: Stable, Parameter-Efficient Adaptation of Medical Vision-Language Models with Bounded Forgetting and Prior Drift

Singh, Amritpal

• [AMPLIFAI] PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT

Singh, Anup

• [CARE] Iterative Human-in-the-Loop Learning for Accurate Segmentation of Liver
• [BraTS-PEDs] Sub-Region-Specific Deep Learning Model for Pediatric Brain Tumor Segmentation on Multi-Parametric MRI
• [BraTS-METS] Segmentation of Pre- and Post-treatment Brain Metastases Using Ensemble Model
• [BraTS-GoAT] Self-Supervised Pretraining for Generalizable Brain Tumor Segmentation in the BraTS-GoAT Challenge
• [BraTS-GoAT] RACER: A Radiomic-Adaptive Cohort Ensemble with Refinement for Cross-cohort Brain Tumor Segmentation using Deep Learning

Singh, Anya

• [MI4MedFM] Interpretable Missense Variant Effect Prediction via Sparse Feature Changes in ESM-2

Singh, Azad

• [EMERGE] Relational Learning of Temporal and Semantic Clinical Structured EHRs for Enhanced Patient Outcome Forecasting

Singh, Durgesh Kumar

• [MVAA] Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation

Singh, Gaganpreet

• [BraTS-PEDs] Two-Track Ensembling for Pediatric Brain Tumor Segmentation: Class-Specific Fusion and Voxel-Wise Intersection for Rare Subregions

Singh, Gagneet

• [REG2026] Faithful Per-Task Attention for Chain-of-Thought Whole-Slide Pathology Report Generation
• [ODIN-challenges] Seeing the Bite: Learned Cross-Arch Occlusion Grounding for Orthodontic Report Generation from Intraoral Scans and Photographs
• [FoundUS] Self-Assessing Anatomical World Model for Unified Multi-Domain Ultrasound Biometry
• [CMRSeg] Native-Resolution Multi-Sequence Cardiac MRI Segmentation for Accurate LVEF and Scar Quantification

Singh, Kunal

• [MedAGI] MedDocBench: A Benchmark for Medical Document Visual Question Answering

Singh, Prabal Pratap

• [PIPPI] Shape-DNA Spectral Analysis of Lesion Morphotypes in Paediatric-Onset Multiple Sclerosis
• [MedAgent] CLAP-4-QnA: An Agentic Graph-RAG Pipeline for SNOMED-CT-Grounded Clinical Question Answering
• [FAIMI-BRIDGE-EPIMI] Gradient Erasure and Contributory Injustice in Federated Medical Imaging AI
• [BrainWorks] Direct Mask-Perturbation Auditing for Geometry-Derived Brain Lesion Biomarkers

Singh, Pushpendra

• [MLCN-2026] Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
• [MLCN-2026] Rapid Whole-Brain Parcellation

Singh, Raghav

• [BraTS-GoAT] Generalisation Across Tumor Entities with a From-Scratch Residual-Encoder U-Net: A Baseline and an Analysis of Training–Validation Distribution Shift

Singh, Shivam

• [ODIN-challenges] From Voxels to Views to Reports: A Segmentation-Guided VLM Pipeline for CBCT Report Generation

Singh, Sneha

• [CaPTion] Learning Tissue Interactions for Pathological T-Staging of Rectal Cancer from Whole-Slide Images

Singh, Tripti

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Singh, Vivek Kumar

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Singhal, Vanika

• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Singla, Manthan

• [BraTS-METS] METS-PRO R2: Lesion-Aware Positive Residual Refinement for Brain Metastasis Segmentation

Singla, Pranav

• [EMERGE] Multi-Paradigm Fusion of XAI Methods for Chest X-ray Explanations

Singstad, Bjørn-Jostein

• [REG2026] Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

Sinha, Aarush

• [BraTS-GoAT] Generalisation Across Tumor Entities with a From-Scratch Residual-Encoder U-Net: A Baseline and an Analysis of Training–Validation Distribution Shift

Sinha, Animesh Sanjay

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Sinhmar, Kajal

• [DeCaF] NeuroFL: A Production Federated Learning Platform for Privacy-Preserving Brain-Health Research

Siot, Pierre-Henri

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Sivadasan, Naveen

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Sivakolunthu, Vinuyan

• [UNSURE2026] Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

Sivakumar, Megha

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Sivaprakasam, Mohanasankar

• [UNSURE2026] FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification
• [ShapeMI] KneeFlow: A Flow Matching Framework for Patient-Specific Knee Reconstruction
• [RIME] FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound
• [MLMI] PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs
• [MLMI] Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration
• [HAIC26] Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification
• [DEMI2026] Ultra Gym: Transforming Clinical 3D Ultrasound Volumes into Dynamic, Multi-Task Training Data
• [DEMI2026] FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound
• [CLIP] Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation
• [AMAI] SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Sivaprasad, Sobha

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Sivaraman, Venkatesh

• [UNSURE2026] Subgroup-Dependent Report-Label Noise Distorts Fairness Audits of Chest X-ray Classifiers: A Prediction-Powered Correction

Skomrock, Nicholas

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials

Skwierawska, Dominika

• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Slabaugh, Gregory

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision
• [STACOM] Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR
• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Slavin, Konstantin V.

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Slooter, Florance C.

• [DEMI2026] Quality-Controlled Keyframe Sampling using Endoscopic Foundation Models

Smedby, Örjan

• [ADSMI2024] Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

Smeets, Esther

• [HECKTOR] Predicted Masks Throughout: A Cross-Center Generalizable Pipeline for Joint Head and Neck Tumor Segmentation, Staging, and Prognosis

Smink, Jouke

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Smith, Luke

• [PedAItrics] Region-Wise Age Progression in Disentangled VAEs for 3D Face Meshes

Smithard, Alison Q.

• [ASMUS] TargetIQA: Anatomy-Aware Ultrasound Image Quality Assessment

Snaet, Warre

• [EchoRisk] Foundation Model Fine-Tuning with Attention-based Multi-View Fusion for Multi-Task Cardiac Function Assessment

Snehan, J.

• [MedAGI] MedDocBench: A Benchmark for Medical Document Visual Question Answering

Sneiderman, Robert

• [FAIMI-BRIDGE-EPIMI] Marginal Coverage Hides a Reduced-Ejection-Fraction Reliability Gap: Severity-Conditional Conformal Intervals on Public Echocardiography
• [CaPTion] The provider-coverage gap in conformal ISUP grading is not a fixed property of the cohort: evidence from two grader configurations on PANDA
• [AMAI] Pre-Deployment Stress Testing of Source-Grounded Conversational AI in Non-Imaging Mental-Health Contexts: A 100-Query, 20-Risk-Category Methodology with Grounded-Refusal Contracts

Soares, Antonio S.

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Soares, Gilson J.

• [MIRASOL] AutoFLIM: Joint Optimization of Architecture, Markers, and Hyperparameters for Efficient Medical Image Segmentation
• [MIRASOL] Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Sobisch, Jannik

• [SWITCH] Decoupled Node Localization and Edge Assignment for Vascular Graph Reconstruction

Soda, Paolo

• [SASHIMI] Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching
• [MedAgent] Evaluating Procedural Tool-Calling in AI Agents for Lung Cancer Workflows

Sojitra, Vrundan

• [ODIN] From TMJ Localization to Detection of Osteoarthritic Features: An Anatomically Guided 3D Deep Learning Pipeline for Cone-Beam CT
• [MI4MedFM] Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis

Sojoudi, Samira

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation
• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Sokunbi, Aisha

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Solana, Ana Beatriz

• [RIME] STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising

Solberg, Anne Schistad

• [MVAA] Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation

Solenthaler, Barbara

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

Sollis, Lydia J.

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Somorin, Tobi

• [ShapeMI] SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping
• [ShapeMI] TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Son, Jiwon

• [ShapeMI] Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation

Son, Nayoung

• [DT4H] 3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification

Son, Wonjun

• [TREAT-MMTB] Morphology-Informed Deep Ensemble Learning for Pulmonary Cavity Detection and Segmentation on Chest X-Rays

Son, Yunsik

• [CREATE] CT Airway-Map Reliability for Bronchoscopic Planning: A Multi-Cohort Study of Connected Peripheral Endpoints

Sonawane, Pankaj

• [MedAgent] FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

Sonbol, Riad

• [TIA] Scene-Graph Contrastive Pretraining with Concept-Based Hard Negatives for Radiology Report Generation

Song, Haiyu

• [MRIxFields2026] FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization
• [MRIxFields2026] Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation

Song, Kehan

• [MedAGI] U-VLM: Hierarchical Vision Language Modeling for Report Generation

Song, Shuru

• [FoundUS] PULSE-FM: A Foundation Model for Ultrasound Biometry with Task Adaptation and Progressive Landmark Refinement

Song, Tianyu

• [CREATE] Intraoperative AR Visualization of Preoperative (CB)CT via X-Ray Registration

Song, Wenming

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Song, Yujia

• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Song, Zhengxuan

• [CARE] Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Songdechakraiwut, Tananun

• [GRAIL] Imaging the Topology of Dynamic Brain Connectivity

Soni, Kushagra

• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Soniya, Soniya

• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Sonka, Milan

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Sonke, Jan-Jakob

• [RIME] End-to-end Adaptive k-space Sampling, Reconstruction and Registration for Dynamic MRI

Sonntag, Daniel

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Soulat-Dufour, Laurie

• [MLMI] Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

Soumboundou, Mamadou

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Sourget, Théo

• [FAIMI-BRIDGE-EPIMI] Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIP

Sousa, Célia

• [TIA] Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies

Sousa, Pedro

• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Soussia, Mayssa

• [MLCN-2026] Heterogeneous Reservoir Dynamics Reveal Disease-Specific Temporal Fingerprints
• [GRAIL] MetaCBT: A Multi-Layer Connectional Brain Template for Reproducible Population-Level Biomarker Discovery

Souza, Roberto

• [RIME] Contrast-Reversal Augmentation for Adult-to-Neonatal MR Image Reconstruction: Pretraining and Fine-Tuning Strategies
• [RIME] 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction
• [MLCN-2026] Text-Guided Multimodal Multitask Learning for Brain Tumor Segmentation

Sovetsky, Alexander

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Soydal, Mümin Emir

• [UNSURE2026] Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Spampinato, Concetto

• [AFRICAI] Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia
• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives

Sparks, Rachel

• [MLMI] Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging
• [MLCN-2026] Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
• [MLCN-2026] Rapid Whole-Brain Parcellation

Spathis, Giuseppe

• [COMPAYL] Morphology-Preserving Virtual Staining from H&E to PAS and IHC using Enhanced Diffusion Models

Specktor-Fadida, Bella

• [ODIN] Anatomy-Constrained Duplication Loss for Tooth Detection in Panoramic Radiographs

Spengler, Christina

• [DT4H] Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins

Spiegel, Sören

• [ODIN-challenges] RGBite: Vision-Language Report Generation for the ODIN 2026 Challenge
• [HEADLINE] CIRCA: Maximising Per-Slice Detail for Head-CT Report Generation with a Windowed-RGB and Split-Slab Bone-Projection Representation for the HEADLINE Challenge

Spieker, Veronika

• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Spraggins, Jeffrey M.

• [MISO] IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

Sree, M. Rahul

• [CaPTion] Learning Tissue Interactions for Pathological T-Staging of Rectal Cancer from Whole-Slide Images

Sridar, Pradeeba

• [CMRxRecon2026] Joint Multi-Velocity FlowVN Reconstruction with Flow-Aware Supervision for Accelerated 4D Flow MRI

Srijon, Adnan Sami

• [EMA] When Efficiency Meets Fragility: Adversarial Vulnerability Shifts in Quantized Medical VLMs

Srikanth, T. K.

• [BrainWorks] DeepNucleiNet: Encoding Spatial Nuclear Patterns for Data-Efficient Necrosis Detection in Computational Neuropathology

Srikanthan, Dilakshan

• [iMIMIC] P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

Srinivasan, Ragavan

• [ShapeMI] KneeFlow: A Flow Matching Framework for Patient-Specific Knee Reconstruction

Sripo, Tara

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Srivastav, Vinkle

• [CaPTion] SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Srivastava, Sanskriti

• [BraTS-PEDs] Sub-Region-Specific Deep Learning Model for Pediatric Brain Tumor Segmentation on Multi-Parametric MRI
• [BraTS-GoAT] Self-Supervised Pretraining for Generalizable Brain Tumor Segmentation in the BraTS-GoAT Challenge

Srivastava, Siddharth

• [MRIxFields2026] Fast Cross-Strength Multi-Contrast Brain MRI Translation using Latent Bridge Matching

St. John, Tanya

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Staartjes, Victor Egon

• [TopAneu] Vessel Segmentation and Anatomically Informed Rule-Based Localization of Intracranial Aneurysms

Staib, Lawrence H.

• [MLMI] Improving Medical Image Generative Models with Fréchet Distance Loss
• [MLCN-2026] SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis
• [EchoRisk] CNN and ViT Backbone Fine-Tuning with Pseudo-Label Segmentations for the EchoRisk Challenge

Stammel, Moritz

• [FAIMI-BRIDGE-EPIMI] Counterfactual Stress Testing for Image Classification Models

Stamminger, Marc

• [ShapeMI] Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Stan, Alexandru-Constantin

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Standin, Jayla

• [MWM] Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

Standish, Kristopher A.

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials
• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation
• [MLMI] GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Stangassinger, Lea Maria

• [COMPAYL] How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

Stanley, Dennis N.

• [MIART] A Differentiable Gaussian Mixture Model-based Scorecard for Cohort-Aware Radiotherapy Plan Evaluation and Optimization

Stanley, Emma A. M.

• [FAIMI-BRIDGE-EPIMI] Subgroup performance analysis of adaptation strategies for chest X-ray foundation models
• [FAIMI-BRIDGE-EPIMI] On Evaluating Subgroup Discovery in Medical Image Classification
• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Starck, Sophie

• [MultiTab] Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data

Staring, Marius

• [MRIxFields2026] Conditional Flow Matching for Cross-Field MRI Harmonisation
• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation
• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Stark, Didem

• [MLCN-2026] What Do Persistent Misclassifications Tell Us About Alzheimer’s Disease Detection using Structural MRI?
• [FAIMI-BRIDGE-EPIMI] From Fairness Findings to Fairness Claims: An Evidence Classification Scheme for Clinical AI

Starmans, Martijn P. A.

• [AFRICAI] Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Staubach, Fabian

• [MISO] Iterative Gamma Normalization for Inter-Sample Integration of Multiplexed Tissue Images

Stegmaier, Johannes

• [COMPAYL] Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

Steininger, Philipp

• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

Steinwender, Clemens

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Stelter, Jonathan

• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Stenhede, Elias

• [MVAA] Multimodal Mitral Valve Segmentation with Cross-Validation Ensembles and Pseudo-label Retraining

Stepansky, Leonard

• [CAPI-WOMEN] Pelvic MRI Patient Verification with Foundation-Model Embeddings

Stiefelhagen, Rainer

• [ADSMI2024] Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods

Stoll, Alexandra K.

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
• [CAPI-WOMEN] Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

Stolt-Ansó, Nil

• [Off-Grid] Implicit representations are dead. Long live explicit primitives!

Story, Lisa

• [PIPPI] STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs

Stoughton, Thomas E.

• [Deep-Brea3th] Beyond 3D Convolutions: A 4D Spatiotemporal Transformer-Based Network for Capturing Vascular Kinetics in Neoadjuvant Chemotherapy Response Prediction

Stoyanov, Danail

• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Straehle, Jakob

• [COMPAYL] Act or defer? Multimodal intraoperative diagnosis of CNS tumours: A proof-of-concept study

Strauss, Lourens J.

• [MIRASOL] Towards CPU-Deployable nnU-Net: Training-Free Sensitivity-Guided Compression Across Clinical Domains

Streekstra, Geert J.

• [AMAI] Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Strijbis, Victor IJ

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Stroblberger, Christoph

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Strong, Joshua

• [HAIC26] Learning to Defer with Guidance on Real World Medical Data

Strzelecki, Michał

• [RHEUM-AI] Advantages and limitations of applying ML techniques in medical data analysis, illustrated with X-ray imaging

Stucchi, Flavio

• [MedAgent] Evaluating Procedural Tool-Calling in AI Agents for Lung Cancer Workflows

Stym-Popper, Jérémie

• [STACOM] TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

Styner, Martin

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Stöhr, Patricia

• [CLiMeM] Investigating Test-Time Adaptation of Convolutional Neural Networks for Medical Image Analysis under Distribution Shifts

Su, I-Chang

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Su, Jiaheng

• [MI4MedFM] Label-Free Parkinson’s Disease Screening from Face and Voice through Mechanistic Interpretability

Su, Li

• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Su, Ruisheng

• [SWITCH] Arterial Change Detection in Cerebral Digital Subtraction Angiography

Su, Yuting

• [MLMI] CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging

Subedi, Shristi

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Subudhi, Badri N.

• [HECKTOR] Geometry Meets Metabolism: Interpretable Segmentation, Staging, and Prognosis in Head and Neck PET/CT

Suero-Molina, Eric

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Sugano, Nobuhiko

• [UNSURE2026] Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Sugawara, Yohei

• [SWITCH] VesselBridge3D: A Foundation Model Adaptation Framework for Label-Efficient 3D Vessel Segmentation

Sugeta, Nao

• [AMAI] Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

Sui, Peiwen

• [LISA] Quality Assessment, Enhancement, and Subcortical Segmentation of Ultra-Low-Field Pediatric Brain MRI: The LISA 2026 Challenge

Suinesiaputra, Avan

• [STACOM] Cardiac Shape-Derived Endophenotypes and Covariant Correction using Statistical Motion Atlases

Sukhorukov, Daniil

• [SynthOCT] Speckle-Phase Refinement on an Exact Differentiable Scanner Twin for Inverse OCT Phantom Generation
• [FoundUS] TABS: Transfer-Aware Backbone Selection for Cross-Centre Ultrasound Biometry
• [CMRSeg] An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Sukno, Federico

• [PIPPI] EMD-Regularized Heatmap Regression for 3D Ultrasound Prenatal Facial Landmark Detection

Sulaiman, Alaa

• [MLMI] Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
• [MIRASOL] TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
• [ELAMI] Contrastive Answer Calibration for Medical Visual Question Answering

Sulake, Nikhileswara Rao

• [COMPAYL] CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology
• [ASMUS] Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Sumanth, Krishna

• [HAIC26] Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Summers, Ronald M.

• [ShapeMI] VessComNet: Geometry-Aware 3D Vessel Completion Across Non-Contrast and Contrast-Enhanced CT Images
• [AMAI] Stratified Iterative Learning for Kidney Cortex and Medulla Segmentation Across Healthy and Pathological Kidneys on Contrast-Enhanced CT
• [AMAI] Mesenteric Arterial Vessel Segmentation in Abdominal CT with Small Bowel Obstruction

Sun, Emma

• [HAIC26] Learning to Defer with Guidance on Real World Medical Data

Sun, Entao

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Sun, Guanghao

• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Sun, Jiaxiang

• [BraTS-Path] Dual-LoRA Adaptation of Pathology Foundation Models for Glioblastoma Histologic Pattern Classification

Sun, Jindong

• [BraTS-METS] Lesion-Aware Hybrid State-Space and Residual-Encoder Fusion for Brain Metastasis Segmentation
• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI

Sun, Jinghao

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Sun, Kai

• [MedAgent] LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

Sun, Kaicong

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis
• [MLMI] A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement
• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Sun, Qiang

• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Sun, Qihang

• [TIA] PE-QUEST: QUality ESTimation-driven Sample Selection for Pulmonary Embolism Segmentation

Sun, Rui

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Sun, Tianyang

• [MRIxFields2026] Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation

Sun, Wei-Chieh

• [MultiTab] JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles

Sun, Wenyue

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Sun, Xiaowu

• [CARE] Pseudo-Label-Enhanced Liver Segmentation and Mask-Guided Patch Learning for Fibrosis Staging Classification

Sun, Xue

• [CARE] Topology-Guided Lightweight 2.5D Liver Segmentation for Limited-Annotation Multi-Center Fibrosis MRI

Sun, Yi

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Sun, Yipeng

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Sun, Yongheng

• [SASHIMI] ∆-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge
• [MLMI] Anatomy-Constrained Neural Dynamics Learning with Function-Structure Coupling for Cognitive Decline Analysis

Sun, Yu

• [MI4MedFM] Label-Free Parkinson’s Disease Screening from Face and Voice through Mechanistic Interpretability
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Sun, Yue

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction
• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Sun, Yujie

• [CARE] Pseudo-Label-Enhanced Liver Segmentation and Mask-Guided Patch Learning for Fibrosis Staging Classification

Sun, Yulin

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Sun, Zhuoran

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Sundaresan, Rajagopalan

• [MLMI] Model-based distortion correction for Magnetic Resonance Echo Planar Imaging

Sundaresan, Vaanathi

• [MedAgent] MechAgent: Active Mechanism Falsification for Agentic Cross-Species Medical Reasoning
• [AMAI] Continual Learning with subspace adaptation in foundation models for drug safety studies

Sunderland, Kyle

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Sundgaard, Josefine Vilsbøll

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes
• [UNSURE2026] Geometric Diversity: Mixed-Curvature Heads as a Substitute for Ensemble Independence

Suntudkan, Supakorn

• [EchoRisk] Orthogonalising LVEF: Cyclic Consistency and Expert Cavity Supervision

Supreme, Mercy Ajoke

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Sura, Noémie

• [cdmri] Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks
• [cdmri] Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections

Surace, Lindsey

• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Suresh, Jithin

• [AMAI] A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Suryawanshi, Sakshi

• [AMPLIFAI] Shortcut-Aware Validation for LI-RADS Categorisation on Multi-Phase CT

Suter, David

• [AMAI] Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Suthar, Krunal

• [OMIA] Diagnosing Adaptation Failure Modes in Foundation Models for RNFL Thickness Prediction

Suzuki, Kenji

• [EMA] MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings

Suárez-Revelo, Jazmín Ximena

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Swanson, Meghan R.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Swanstrom, Dana K.

• [ELAMI] A Real-World Analysis of an AI Chest X-ray Reporting Assistant Focused on Factuality and Lines & Tubes

Sydendal, Regitze

• [FAIMI-BRIDGE-EPIMI] Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIP

Syed, Tahir Qasim

• [SWITCH] Territory-Coupled Foundation Model Adaptation for ASPECTS Scoring on Non-Contrast CT
• [MWM] CalTwin: Calibrated Shift-Robust Medical World Models via Fisher-Information Regularization

Szabó, Bálint

• [AIMS-TBI] ATVNet: Adaptive Transformer-Enhanced V-Net for Automated msTBI Lesion Segmentation

Szalma, Janos

• [HECKTOR] A Late-Fusion Framework for Joint Tumor Segmentation, Staging, and Recurrence Prediction in Head and Neck Cancer

Szczepanski, Janusz

• [Off-Grid] Probing implicit neural representations for biomedical image classification in weight space

Szlávecz, Ákos

• [AIMS-TBI] ATVNet: Adaptive Transformer-Enhanced V-Net for Automated msTBI Lesion Segmentation

Szmul, Adam

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Szymanski, Wojciech

• [TopAneu] An Anatomy-Aware Staged Pipeline for Vessel-Specific Intracranial Aneurysm Segmentation in CT and MR Angiography
• [ShapeMI] Mind the Gap: Mesh-Guided Repair of Broken Vessels
• [ISLES] SADL: A Size-Adaptive Decision Layer for Chronic Stroke Lesion Segmentation in ISLES 2026

Sánchez, Clara I.

• [AMAI] Prediction of Atrial Fibrillation Onset from Continuous Intensive Care Unit ECG Monitoring: A Deep Learning Approach
• [AMAI] Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Sánchez-Montaño, Mariana

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Sørensen, Kristine Aavild

• [STACOM] Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion
• [PedAItrics] Growth modelling of children’s ear canals using implicit neural distance representations
• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

Tabassum, Musarrat

• [BraTS-METS] Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison

Tachenne, Florent

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas

Tachos, Nikolaos

• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Tafforeau, Paul

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Taflan, Sıtkı Safa

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Tafti, Ahmad P.

• [DEMI2026] Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift
• [DEMI2026] Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Taghian Alamooti, Shirin

• [DeCaF] NeuroFL: A Production Federated Learning Platform for Privacy-Preserving Brain-Health Research

Tahir, Bilal A.

• [TIA] Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN and Transformer Architectures
• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Tahir, Muhammad Atif

• [EMA] Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs

Tahiri, Natyra

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Taiello, Riccardo

• [DeCaF] DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Tajmirriahi, Amirhossein

• [AMAI] VAMP-PD: A Task-Structured Single-Camera Video Benchmark for MDS-UPDRS Motor Severity Assessment in Parkinson’s Disease

Tajmirriahi, Mahnoosh

• [OMIA] Local scale-free fluctuation analysis for angle closure Detection in AS-OCT images

Takal, John

• [MIRASOL] Beyond Dice: Evaluating Reliability and Robustness in Breast Ultrasound Lesion Segmentation Under Progressive Speckle Corruption

Takami, Hideki

• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Takao, Masaki

• [UNSURE2026] Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Takeuchi, Ichiro

• [COMPAYL] Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space

Takx, Richard A. P.

• [MLMI] Are robust loss functions still relevant for medical image segmentation with noisy labels?

Taleei, Reza

• [MIART] Mammo-LIFE: Longitudinal Mammographic Imaging and Clinical Feature Enrichment for Post-Radiotherapy Outcome Prediction

Talhaoui, Mohamed Achraf

• [AFRICAI] Federated Learning under Combined Clinical Heterogeneity: Evaluation Protocol and Inter-Site Equity

Talukdar, Maruf

• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis

Tam, Roger

• [MIRASOL] WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification

Tamukate, Rabson

• [MIRASOL] Clean AUC Is Not Enough: Architecture-Specific Failure Modes of Tuberculosis Classifiers under Digitisation Artifacts

Tan, Cheston

• [ELAMI] Authority-Preserving Evaluation of Medical Vision-Language Assistants
• [ELAMI] FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Tan, Ryan

• [RIME] Domain-Adapted Bi-Planar RAFT for Dense 3D Cardiac Motion Estimation

Tan, Tao

• [TopAneu] Anatomy-Aware Intracranial Aneurysm Analysis with Vessel-Guided Dual-Decoder Multi-Task Learning
• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction
• [FoundUS] LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry
• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Tan, Wenjun

• [ODIN-challenges] MMLVM: Geometry-Aware Multimodal Language Modeling for Orthodontic Report Generation

Tan, Xinyi

• [ADSMI2024] Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation

Taneja, Arti

• [RHEUM-AI] Why Isolated Joint Views Limit Bone-Erosion Segmentation on Hand Radiographs
• [PedAItrics] Data-Efficient Pediatric Demyelinating Lesion Segmentation with Cross-Age Lesion Augmentation and Trustworthy Predictions
• [MWM] ICUWorld-QR: A Residual Latent World Model for Hourly ICU Physiology

Tang, Chunlei

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Tang, Haiming

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Tang, Hao

• [CMMCA] TriSCoV-Net: Cross-Scale Verified Virtual Immunomarker Proxy Generation from Diffusion Magnetic Resonance Imaging

Tang, Kun

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Tang, Meng-Xing

• [iMIMIC] Recursive Uncertainty-Gated Image Registration for Learning-Based Algorithms

Tang, Shaohua

• [BraTS-PEDs] YOLO-UNet: A Hybrid YOLO-Encoder / U-Net-Decoder Network with a Full-Resolution Residual Boundary Branch for Pediatric Brain Tumor Segmentation

Tang, Tianhong

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Tang, Wai-Lun Victor

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Tang, Wenyi

• [DeCaF] Quantifying Membership Privacy Risk Using Shadow Model Membership Inference Attack: Observations from a Breast Cancer Use Case
• [DeCaF] FOCUS: Federated Learning Optimized Convergence via Uncertainty-guided Sampling

Tang, Yixiao

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis

Tang, Yucheng

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Tangwiriyasakul, Chayanin

• [HAIC26] Adapt While You Annotate: The Missing Complement to Interactive Segmentation

Taniguchi, Ittetsu

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Tanriverdi, Yusuf Baran

• [PIPPI] EMD-Regularized Heatmap Regression for 3D Ultrasound Prenatal Facial Landmark Detection

Tanveer, M.

• [MIRASOL] Beyond Real-Valued MRI Features: Complex Broad Learning for Early Alzheimer’s Disease Diagnosis
• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Tao, Guanyu

• [MedAgent] LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

Tao, Tianli

• [MLMI] Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging

Tao, Xing

• [ASMUS] ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

Tao, Zhiqiang

• [DT4H] Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure

Tapadiya, Peeyush

• [HemaRAI] Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?

Tapar, Sahen

• [TopAneu] Vessel-Aware Multi-Task 3D U-Net for Vessel-Specific Intracranial Aneurysm Classification and Segmentation

Tapias Gomez, Jorge

• [MIART] Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

Tappeiner, Elias

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework
• [ISLES] A Metadata-Informed Two-Stage nnU-Net Cascade for Ischemic Stroke Lesion Segmentation

Tardieu, M.

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Tardieu, Marion

• [Off-Grid] Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas

Tardy, Mickael

• [Deep-Brea3th] Towards Reliable Classification: Building Bridge From Validation to Clinics With Improved Partial-AUC Optimization for Mammography False-Positive Detections Filtering

Tariq, Abdullah

• [AMAI] Modeling Abnormality as Semantic Deviation for Few-Shot Medical Anomaly Detection

Tarroni, Giacomo

• [CaPTion] Efficient Self-Supervised Pre-Training in Endoscopy

Tasci, Eminenur Sen

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Tasci, Muhammed Enes

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Tasharofi, Farid

• [TopAneu] Vessel-Guided Aneurysm Localization and Segmentation for TopAneu 2026
• [SWITCH] An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Tasian, Greg

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Tasnim, Sanjida

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities

Taub, Omer

• [MLMI] Towards Distortion–Perception-Balanced MRI Reconstruction using Posterior-Mean Rectified Flow

Tawfik, Noha S.

• [CaPTion] Fed-FGS: Domain-Generalized Federated Polyp Segmentation via Fourier Hard-Thresholding and Gradient Scaling

Taylor, Russell H.

• [DGM4MICCAI] 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

Taylor, Zachary P.

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Taymourtash, Athena

• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Tchendji, Vianney Kengne

• [AFRICAI] A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

Tchuem Tchuente, Adrien Junior

• [STACOM] Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Teichmann, Sarah Amalia

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Teimoury, Alireza

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Teitz, Sarah

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Teixeira, Luís F.

• [MLMI] Representation Matters: Rethinking Domain Generalization in Polyp Segmentation

Teixeira, Rodrigo

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Teixidó, Mar

• [CaPTion] Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology

Temtam, Ahmed

• [BraTS-PEDs] Pediatric Brain Tumor Segmentation with MedSwinNet
• [BraTS-METS] CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
• [BraTS-Inpainting] An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting
• [BraTS-GoAT] A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Tenbrinck, Daniel

• [CMRxRecon2026] FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

Teo, Dexter Wen Jie

• [STACOM] Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
• [ISLES] Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation

Teodoro, Douglas

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Terradillos Perea, Manuel

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction

Teuwen, Jonas

• [RIME] End-to-end Adaptive k-space Sampling, Reconstruction and Registration for Dynamic MRI
• [MAMA-SYNTH] MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

Textor, Johannes

• [DT4H] Cohort-Level Twinning in an Agent-Based Model of Metastatic Tumor Growth

Thai, Le-Van

• [COMPAYL] ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Thakur, Siddhesh

• [REG2026] Diagnostic Pathology Reporting and Reasoning via Autoregressive and Retrieval-Based Chain-Of-Thought
• [BrainWorks] Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Thaler, Franz

• [BraTS-Inpainting] Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors

Thapa, Samrajya

• [AMAI] Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

The Alzheimer’s Disease Neuroimaging Initiative

• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification
• [FAIMI-BRIDGE-EPIMI] From Fairness Findings to Fairness Claims: An Evidence Classification Scheme for Clinical AI

Theis, Fabian J.

• [COMPAYL] Beyond the capture area: Imputation of spatial gene expression from H&E

Theofilou, Paraskevi-Antonia

• [CLiMeM] Multimodal Fusion for Domain-Incremental Continual Learning in 3D Medical Imaging

Thiao, Pape Mady

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Thielke, Felix

• [EMA] Segmentation Without Full Logits: Fused Kernels for Memory-Efficient Many-Class Models

Thieringer, Florian M.

• [ShapeMI] AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning

Thijssen, Ayla

• [CaPTion] Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

Thisleton, William

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Thomas, Blessy

• [MLCN-2026] Toward Personalized Dyslexia Classification via Dynamic Functional Connectivity and Explainable AI

Thomas, David L.

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Thomas, Sarina

• [MVAA] Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation

Thome, Nicolas

• [STACOM] TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

Thomopoulos, Sophia I.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan
• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification

Thompson, Paul M.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan
• [ShapeMI] Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification
• [ShapeMI] Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
• [SASHIMI] Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model
• [MISO] Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Thorley, Natasha

• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis

Thorwarth, Daniela

• [MIART] Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

Thottupattu, Alphin J.

• [Deep-Brea3th] Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

Thuo, John Bosco Gachomba

• [AFRICAI] Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification

Tian, Dayu

• [UNSURE2026] Does Inter-Rater Variability Matter? Preclinical MRI Tumor Segmentation and Downstream Analysis

Tian, Jie

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Tian, Qiyuan

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
• [LISA] Quality Assessment, Enhancement, and Subcortical Segmentation of Ultra-Low-Field Pediatric Brain MRI: The LISA 2026 Challenge

Tian, Shengli

• [MVAA] Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video

Tian, Song

• [LISA] A Unified Masked Autoencoder Framework for Quality Assessment, Image Restoration, and Multi-Structure Segmentation in Low-Field Pediatric Brain MRI

Tian, Yu

• [MedAgent] Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care
• [AMAI] Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

Tian, Yueying

• [MLMI] Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Tian, Zhen

• [DT4H] PanOCT: A Unified OCT-based Whole-Eye Reconstruction Framework for Ocular Digital Twin Construction

Tigbee, Isaac

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Tijjani, Ismail Ismail

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Tijjani, Usman

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Timms, Liam

• [Off-Grid] Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Timofte, Radu

• [RIME] TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

Timóteo, Rafaela

• [Deep-Brea3th] OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Ting, Yu-Hsin

• [BraTS-METS] ACORN: Asymmetric Conditional Overlapping RAVSS Network for Segmenting Small Brain Metastases

Tiosano, Alon

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Tischer, Johannes

• [ASMUS] ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Tiwari, Akshat

• [CaPTion] L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

Tiwari, Aryaman

• [EMERGE] GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

Tiwari, Karn

• [HECKTOR] From Tumor Segmentation to Clinical Prediction: A PET/CT Pipeline for Head and Neck Cancer

Tiwari, Manish Kumar

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Tjong, Fleur V. Y.

• [ShapeMI] Cardiac Shape Priors for Equivariant Neural Field Representations of Cine MRI
• [MIRASOL] Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Tliba, Marouane

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

To, Minh-Son

• [AMAI] BARW-GP: Workload-Aware Threshold Selection for Multi-Label Medical AI Alerting Across Chest X-ray and ECG

Tochon, Guillaume

• [AMPLIFAI] Multi-Source Feature Fusion for LI-RADS Classification in Multi-Phase CT

Todd, Omar

• [STACOM] GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification

Toga, Arthur W.

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Tohka, Jussi

• [DeCaF] LAFFS: LASSO Assisted Federated Feature Selection

Tokuoka, Yuta

• [SWITCH] VesselBridge3D: A Foundation Model Adaptation Framework for Label-Efficient 3D Vessel Segmentation

Toledo-Cortés, Santiago

• [OMIA] Counting Is Not Enough: Spatially Explicit Formulations for AOSLO Cone Photoreceptor Quantification

Tolsgaard, Martin

• [FAIMI-BRIDGE-EPIMI] Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

Toman, Raneem

• [CaPTion] FaithCLIP: Faithful Geometry-Derived Alignment for Text-Queryable Polyp Representations

Tomasoni, Mattia

• [OMIA] Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

Tombak, Guney I.

• [UNSURE2026] Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection

Tong, Boren

• [EMERGE] GF-BrainSR: Gated Frequency-Aware Selective State Space Model-Based Brain MRI Image Super-resolution

Tong, Lyuyang

• [MVAA] Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video
• [LISA] A Modular Multi-Model Framework for Multi-Structure Segmentation of Ultra-Low-Field Pediatric Brain MRI
• [FoundUS] VSTA: A DINOv2-Based Unified Semi-Supervised Framework for Ultrasound Biometry

Toni, Giorgio

• [COMPAYL] Morphology-Preserving Virtual Staining from H&E to PAS and IHC using Enhanced Diffusion Models

Tonko, Johanna B.

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision

Tonni, Ingrid

• [ODIN] AI-Based Landmark Detection for Condylar Asymmetry Assessment in Patients with Juvenile Idiopathic Arthritis

Topaloglu, Umit

• [DeCaF] Gerchberg-Saxton Spectral Preprocessing as Empirical Leakage Mitigation in Simulated Federated Medical Imaging

Tops-Welten, Marion

• [CaPTion] Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

Topu, Mohsin Mahmud

• [MedAgent] Why Benchmark Accuracy Fails to Measure Clinical Reasoning in Medical Vision-Language Models: Toward Clinical Adversarial Validation

Torbus, Karolina

• [AMAI] A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Torr, Philip

• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition

Torrado-Carvajal, Ángel

• [MultiTab] A Reproducible Public Benchmark for End-to-End Machine Learning from Multimodal Tabular Data in Cancer Recurrence Prediction
• [MIART] Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy
• [BraTS-Inpainting] RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Torres Torres, Luis Fernando

• [MRIxFields2026] Pairing-Independent Cross-Field MRI Translation: Synthetic Supervision and Structure-Preserving Domain Adaptation for Ultra-Low-Field to High-Field Synthesis

Torres-Martel, Jose Miguel

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot

Tortora, Matteo

• [MedAgent] Evaluating Procedural Tool-Calling in AI Agents for Lung Cancer Workflows

Tosi, Alessandro

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Toth, Alexander

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Toufan, Navid

• [BraTS-Inpainting] A Mask-Gated 3D U-Net with Void-Size Conditioning for Healthy Tissue Inpainting in Brain MRI

Toumpas, Achilleas

• [TIA] Anatomy-Aware MAE Pretraining for Generalizable Coronary Artery Segmentation

Tourdias, Thomas

• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Touzot, Maxime

• [COMPAYL] IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images

Tovar-Arriaga, Saul

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot

Trabuco, Emanuel C.

• [AMAI] Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

Tran, Tam

• [COMPAYL] ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Trang, Bailey

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Treacy, Molly Godson

• [AMAI] Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Tregidgo, Henry F. J.

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution
• [MLMI] Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient

Treis, Tim

• [COMPAYL] Beyond the capture area: Imputation of spatial gene expression from H&E

Tretiak, Volodymyr

• [ASMUS] Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

Trinh, Minh Nhat

• [MIRASOL] User-Friendly AI Software for Automated Quantitative CMR Reporting on Low-Cost, Energy-Efficient Devices
• [CMRSeg] NATA-Net: A Network with Adaptive Task-Aware Heads for Universal Cardiac MRI Segmentation

Trinh, Quoc-Huy

• [MIRASOL] Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

Tripathy, Smiti

• [CAPI-WOMEN] Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI
• [CAPI-WOMEN] Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Trivedi, Shradhdha

• [ODIN] From TMJ Localization to Detection of Osteoarthritic Features: An Anatomically Guided 3D Deep Learning Pipeline for Cone-Beam CT
• [MI4MedFM] Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis

Trivizakis, Eleftherios

• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Troadec, Marie-Bérengère

• [EMERGE] Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

Trombetta, Robin

• [SASHIMI] OTLesMix: Wasserstein Barycenter and Optimal Transport Map for Synthetic Lesion Generation with Diverse Shapes and Locations
• [MLCN-2026] Representation Learning for 3D Brain Imaging: A Benchmark

Trzasko, Joshua D.

• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping

Tsaftaris, Sotirios A.

• [Off-Grid] Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy
• [ASMUS] TargetIQA: Anatomy-Aware Ultrasound Image Quality Assessment

Tsai, Ming-shan

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation

Tsang, Kai La Jennifer

• [BrainWorks] RBT-Faz: Register-Bottleneck 3D Swin-UNETR with Clinical Text Alignment for Ordinal Fazekas Grading from FLAIR MRI

Tsang, Roger Y.

• [MLCN-2026] Text-Guided Multimodal Multitask Learning for Brain Tumor Segmentation

Tsang, Teresa S. M.

• [ASMUS] CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation
• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Tschochohei, Maximilian

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Tseng, Yu-Chee

• [MWM] Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer
• [MVAA] RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Tsepas, Christos

• [STACOM] Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification

Tsiknakis, Manolis

• [MWM] Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI
• [DEMI2026] The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI
• [CaPTion] Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Tsuge, Itaru

• [ADSMI2024] Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

Tu, Yifan

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis

Tueni, Nicole

• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver

Tully, Aditya

• [HECKTOR] JOTAC-HN: Joint Outcome and TN Assessment Cascade for Head and Neck Cancers

Turki, Houcemeddine

• [MultiTab] MIMIC-CXR-DB: An Admission-Linked, Ontology-Grounded Multimodal Resource Built on MIMIC-CXR and MIMIC-IV

Turner, Dan

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Tushar, Fakrul Islam

• [SASHIMI] Virtual Patients, Real Gains: Simulated CT from Digital Twins for Multi-Task Lung Nodule Analysis

Tushaus, Ludger

• [ADSMI2024] SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation

Tutuncu, Mesude

• [AMAI] NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Twam, Awj

• [BraTS-GoAT] MISFIT: A Self-Supervised Pretraining Toolkit for 3D Medical Imaging — A Preliminary Test Across Three BraTS 2026 Segmentation Tasks

Tzallas, Alexandros T.

• [STACOM] Silent Failures of Right-Ventricular Ejection Fraction at High Segmentation Overlap: Evidence from Multi-Vendor Cardiac MRI

Tzouveli, Paraskevi

• [CLiMeM] Multimodal Fusion for Domain-Incremental Continual Learning in 3D Medical Imaging

Töreyin, Behçet Uğur

• [UNSURE2026] Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Ubeira Gabellini, Maria Giulia

• [MIART] MRI-to-Synthetic CT for Intracranial Stereotactic Radiotherapy: a Comparative Study of Deep Learning Architectures with Focus on Bone Fidelity

Uder, Michael

• [Deep-Brea3th] Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning
• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Udi, Yarin

• [MWM] Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model Pipelines

Uemura, Keisuke

• [UNSURE2026] Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Ueno, Tomohiro

• [UNSURE2026] Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

Ugbo, Ikechukwu

• [MIRASOL] Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

Ugwuishiwu, Chikodili Helen

• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy

Uiso, Godbright Nixon

• [AFRICAI] Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification

Ukey, Janmesh

• [ShapeMI] On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling

Ul Jabbar, Absaar

• [BraTS-GoAT] An Engineering-optimized, Resource-Constrained nnU-Net v2 Pediatric Baseline for the BraTS-GoAT 2026 Generalizability-Across-Tumors Challenge

Ullaskrishnan, Poikavila

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Ulrich, Constantin

• [MAMA-SYNTH] Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans
• [LISA] Ensembled Laterality-Aware Residual nnU-Net for Low-Field Pediatric Brain MRI Segmentation
• [CARE] Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI
• [AIMS-TBI] Evaluating Large-Scale Pretraining and Auxiliary Training Data for T1-only TBI Lesion Detection and Segmentation in the AIMS-TBI 2026 Challenge

Ulrich, Hannes

• [ELAMI] Evaluating Medical Report Generation on Real Clinical Data: A Case Study

Umeton, Renato

• [MedAgent] Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

Unberath, Mathias

• [MedAGI] Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos
• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI
• [HAIC26] Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers
• [DT4H] Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
• [DGM4MICCAI] 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

Unger, Jonas

• [DEMI2026] A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Ungi, Tamas

• [MIRASOL] An Open-Source Workflow for Automated 3D Spine Reconstruction from Tracked Ultrasound: A Pilot Study in Senegal

Upadhya, Prateek

• [CaPTion] SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Urban, Theresa

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Urschler, Martin

• [UNSURE2026] Foundation Model and Radiomics Distance Scores for Post-Hoc Segmentation Failure Detection
• [BraTS-Inpainting] Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors

Ursprung, Stephan

• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Usman, Hafsat Muhammed

• [MIRASOL] Towards the Development of a Clinical Safety Acceptance Rule for Low-Field MRI using Hybridized Uncertainty-Aware Autoencoders

Utemissova, Dilnaz

• [CLiMeM] An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

Uwimana, Lowami

• [MIRASOL] Investigating White Blood Cells as a Source of False-Positive Malaria Parasite Detection in African Blood-Smear Images

Uyterlinde, Daniel

• [MIRASOL] Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Uzunay, Emine Şevval Eş

• [CARE] Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI

Vadhavka, Sumeet Atul

• [DT4H] Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure

Vadthyavath, Pavan

• [BraTS-Inpainting] Enhanced 3D U-Net for BraTS Local Synthesis: Attention, Deep Supervision, and Edge-Aware Inpainting

Vagenas, Theodoros P.

• [MIART] Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning
• [MAMA-SYNTH] DARE: Dilated Anatomy-Anchored Residual Enhancement for Virtual Contrast Synthesis in Breast DCE-MRI

Vaidya, Shrish Shrinath

• [MedAgent] MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring

Vainberg, Elena

• [CLIP] SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Vakalopoulou, Maria

• [MWM] An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction
• [MIART] Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy
• [MIART] Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning

Valada, Abhinav

• [ISIC] Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Valdenegro-Toro, Matias

• [UNSURE2026] Explanation Uncertainty in the Classification of Pulmonary Nodules
• [UNSURE2026] Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset
• [MIART] More Comprehensive and Reliable Deep Learning Normal Tissue Complication Probability Models for Head and Neck Cancer Patients

Valdés Hernández, Maria del C.

• [SWITCH] Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Valera, Patris

• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Valette, Sebastien

• [ODIN-challenges] Registration Teaches Registration: Transform-Derived Crown Guidance for Semi-Supervised CBCT–IOS Alignment

Valindria, Vanya

• [SAFER] Faithful Reasoning, Not More Reasoning: Chain-of-Thought Ablation for Tuberculosis Findings in Indonesian Chest X-Rays
• [EMA] Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled Vision-Language Models

Valle, Christina

• [MultiTab] Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data

Valls-Esteve, Arnau

• [OMIA] Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Valmaggia, Philippe

• [Off-Grid] Modelling Geographic Atrophy Progression using Implicit Neural Representations

Van Criekinge, Wim

• [SASHIMI] CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training

Van Dessel, Jeroen

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Van Leemput, Pieter

• [ODIN] Registration of 2D intraoral radiographs to 3D CBCT using modality-specific encoding

Van Puyvelde, Max

• [SASHIMI] CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training
• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Van Riet, Emma

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Van de Plas, Raf

• [MISO] IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

Vanchhay, Nheng

• [ODIN] Fluency Is Not Faithfulness: Diagnosing and Repairing Confabulation in LLM Report Generation on ToothFairy4 CBCT

Vandemeulebroucke, Jef

• [ShapeMI] Landmark Detection Supported by Anatomy Segmentation and Geometric Constraints
• [HECKTOR] BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology
• [DGM4MICCAI] Large-Volume Conditioned 3D Latent Diffusion Models for CT Metal Artifact Suppression
• [CaPTion] DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

Vandenbroucke, Loes

• [MIART] Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Vardhan, Harsh

• [TREAT-MMTB] Prevalence-Aware Rank Fusion for Tuberculosis Cavity Detection and Segmentation
• [AMPLIFAI] Shortcut-Aware Validation for LI-RADS Categorisation on Multi-Phase CT

Varela, Marta

• [STACOM] Characterising cardiac tissue properties with graph neural networks

Vargas, Luisa

• [UNSURE2026] Beyond Morphological Dilation: Revisiting Conformal Prediction for 3D Tumor Segmentation

Varghese, Bino

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Varshochi, Sanaz

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Vasamsetti, Mahesh

• [iMIMIC] How Well Do Chest X-Ray VLM Attention Overlays Match Radiologist Boxes? A Cross-Model Audit and Radiologist Reader Study

Vasikarla, Shantaram

• [RHEUM-AI] Why Isolated Joint Views Limit Bone-Erosion Segmentation on Hand Radiographs
• [PedAItrics] Data-Efficient Pediatric Demyelinating Lesion Segmentation with Cross-Age Lesion Augmentation and Trustworthy Predictions
• [MWM] ICUWorld-QR: A Residual Latent World Model for Hourly ICU Physiology

Vassalli, Mariapia

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Vasu, Shrisharanyan

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation
• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Vasudev, Pardeep

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Vasudeva, Mehak

• [BraTS-GoAT] Generalisation Across Tumor Entities with a From-Scratch Residual-Encoder U-Net: A Baseline and an Analysis of Training–Validation Distribution Shift

Vavasour, Zach

• [CMRxRecon2026] Phase-Coupled State-Space Reconstruction for Ultra-Accelerated 4D Flow MRI
• [CMRxRecon2026] Stage-Aligned Knowledge Distillation for Fast and Memory-Efficient 4D Flow MRI Reconstruction

Veerakanjana, Kanyakorn

• [TREAT-MMTB] MOPH AI: Cross-Modality Paired MixStyle for Tuberculosis Classification in TREAT-MMTB 2026

Veeraraghavan, Harini

• [MIART] Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

Vega, Daniela

• [EchoRisk] Task-Specific Adaptation of Echocardiography Foundation Models for the EchoRisk-MICCAI Cardio-Oncology Challenge

Vega, Pedro J. Soto

• [MedAgent] AgentQC: Policy-Constrained Agentic Assessment of Task-Aware Reliability in Medical Imaging Datasets

Vehof, Volker

• [CMRSeg] Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

Velasquez, Rafael

• [STACOM] Beyond Volume Overlap: Surface Matching for Topology-Aware Coronary Artery Segmentation

Velikova, Yordanka

• [ShapeMI] ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion

Vella, Benjamin

• [DT4H] From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

Velthuis, Birgitta K.

• [SWITCH] Infarct Core Segmentation on Spectral CT Angiography using a Data-Uncertainty-Aware U-Net

Venet, Maelys

• [STACOM] Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound

Venkataramani, Rahul

• [SAFER] Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding

Venkatesan, Ramesh

• [MIRASOL] CORTEX: Deep Reinforcement Learning with Pulse-Sequence Computation for Resource-Efficient MRI Protocol Adaptation

Venkatraghavan, Vikram

• [PedAItrics] Cross-cohort Transfer for Label-efficient Neonatal HIE Lesion Segmentation with Weak Supervision and Pseudo-normative Spatial Priors
• [MLMI] Are robust loss functions still relevant for medical image segmentation with noisy labels?

Venugopal, Vinod

• [STACOM] Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement

Vercauteren, Tom

• [MLCN-2026] Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
• [BraTS-METS] Inference-Time Decoding for Brain Metastasis Segmentation

Verdelho, Maria Rita Fonseca

• [ML-CDS2026] Multimodal and Longitudinal Modeling for Predicting Alzheimer’s Disease Progression
• [GRAIL] TumorGraphs: Patient-Level Fusion of Multi-WSI Histopathology

Verdier, Margaux

• [MISO] Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Vernooij, Meike W.

• [MLCN-2026] Network Alterations Precede Atrophy in Alzheimer’s Disease Progression Subtypes

Veronese, Alex

• [ODIN-challenges] Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT

Veronese, Lorenzo

• [BraTS-METS] A Multi-Network Ensemble Strategy for the BraTS 2026 Brain Metastasis Segmentation Challenge

Vesnaver Vipotnik, Tina

• [PIPPI] Automated Fetal Brain MRI Biometry in Healthy and Pathological Cases

Veta, Mitko

• [COMPAYL] AutoVLAK - An Automated Pipeline for Vision-Language Knowledge Base Curation from Open-Access Medical Literature

Vicky, Ayebare

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Vicory, Jared

• [ShapeMI] Extending the Evolutionary Skeletal Representation to the Cerebral Cortex Anatomy

Victorova, Maria

• [PedAItrics] Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot

Vigmond, Edward J.

• [STACOM] ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision

Vigneron, Vincent Martin

• [MWM] CalTwin: Calibrated Shift-Robust Medical World Models via Fisher-Information Regularization

Vigneshwaran, Vibujithan

• [ISLES] Residual-Encoder nnU-Net with Small-Component Filtering for Multi-Site Stroke Lesion Segmentation in T1-weighted MRI
• [AIIG2024] Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Vignon-Clementel, Irene

• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Vijesh, Aniketh

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation
• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Vila-Bagaria, Sigrid

• [CaPTion] Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology
• [COMPAYL] Dual-CellNucDETR: Context-Aware Object-Level Cell Analysis

Vilaplana, Verónica

• [DGM4MICCAI] Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI
• [CaPTion] Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology
• [COMPAYL] Dual-CellNucDETR: Context-Aware Object-Level Cell Analysis

Vilardell, Felip

• [CaPTion] Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology

Vilaseca, Isabel

• [HECKTOR] A Segmentation-Guided Framework for TN Staging and Recurrence-Free Survival Prediction in HECKTOR 2026

Villalón-Reina, Julio E.

• [cdmri] Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Villanueva-Miranda, Ismael

• [MIRASOL] Edge Deployment of Multimodal Clinical AI on Low-Cost Hardware for Resource-Constrained Settings

Villemain, Olivier

• [STACOM] Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound

Villeneuve, Laurent

• [CaPTion] Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

Villette, Claire C.

• [EMA] Active few-shot segmentation by reinforcing data selection
• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Vindas Yassine, Yamil

• [CLiMeM] Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

Vinke, Elisabeth J.

• [MLCN-2026] Network Alterations Precede Atrophy in Alzheimer’s Disease Progression Subtypes

Virani, Aneesa

• [MI4MedFM] Interpretable Missense Variant Effect Prediction via Sparse Feature Changes in ESM-2

Visser, Valery L.

• [DT4H] Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins

Visvikis, Dimitris

• [MIART] Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis
• [AMPLIFAI] Ordinal-aware Multi-Phase Classification with Manifold Mixup for LI-RADS Assessment in CT

Viswanath, Satish E.

• [PedAItrics] Transformer-Based Manifold Modeling of Novel Image Quality Metrics For Pediatric Brain MRI

Vitry, Nicolas

• [MLMI] Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging

Vlaar, Alexander P.J.

• [AMAI] Prediction of Atrial Fibrillation Onset from Continuous Intensive Care Unit ECG Monitoring: A Deep Learning Approach

Vlascenau, Ana

• [ADSMI2024] Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Vo, Hoang-Son

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Vo, Julianna

• [CARE] Improving Cross-Site Whole-Heart Segmentation

Vo, Thanh-Hiep

• [COMPAYL] CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Vock, Raphael

• [MLCN-2026] Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Voelker, Gaspar

• [DT4H] Toward Oncology Digital Twins: Leveraging LLMs for Automated Longitudinal Data Ingestion in Ovarian Cancer Care

Vogt, Franziska

• [PedAItrics] Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Vohra, Siddharth

• [MedAgent] Absent-Byte Diagnoses: Auditing Structured Medical VLM Interfaces

Voiculescu, Irina

• [UNSURE2026] When Voxels Are Not Equal: Spacing-Driven Metric Bias and Metric Uncertainty in Segmentation
• [ML-CDS2026] Quantifying Contributions within Multimodal Fusion for Clinical Decisions
• [EMA] How Do Train-Time Pruning Dynamics and Pruning Schedules Affect Retinal Vessel Segmentation?

Vojvodic, Giulia

• [AMAI] EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Volchenboum, Samuel L.

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Volmer, Leroy

• [SASHIMI] Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

Vos, Frans

• [SWITCH] Arterial Change Detection in Cerebral Digital Subtraction Angiography

Vossough, Arastoo

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Voyton, Charles

• [CaPTion] Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Vrachnos, Panagiotis

• [STACOM] Silent Failures of Right-Ventricular Ejection Fraction at High Segmentation Overlap: Evidence from Multi-Vendor Cardiac MRI

Vrancx, Peter

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Vrbaski, Stevan

• [MIART] Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study

Vreeburg, Marleen

• [HAIC26] Why AI Fails to Influence Admission Decisions: Evidence from a Case Study

Vromans, Joris

• [SWITCH] Infarct Core Segmentation on Spectral CT Angiography using a Data-Uncertainty-Aware U-Net

Vršnak, Donik

• [EchoRisk] Multi-View Beat-Clip Probing of an Echocardiography Foundation Model for Cardio-Oncology

Vu, Dang Thanh

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Vu, Tran Anh

• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins

Vu, Vi

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation

Vu-Tran, Duy

• [HECKTOR] Efficient Multi-Task Framework for Head and Neck Segmentation, Staging, and Prognosis

Vukadinovic, Milos

• [EchoRisk] Pretrained Echocardiography Video Models for LVEF Estimation and LV Dysfunction Classification

Vyncke, Niels

• [Off-Grid] Neural Field Fourier Token Mixers for Medical Image Segmentation
• [ISLES] Deconver for Stroke Lesion Segmentation

Vélez-Arango, Jorge Mario

• [EMERGE] When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI

Vétil, Rebeca

• [CaPTion] A Unified Multi-Organ Framework for Universal Lesion Detection, Segmentation and Longitudinal Tracking in CT Imaging

Wache, German Shâma

• [CMRxRecon2026] CLEAR: Complex Learned Explicit Analytical Regularization for Ultra-Accelerated 4D Flow CMR Reconstruction

Wachinger, Christian

• [TIA] PE-QUEST: QUality ESTimation-driven Sample Selection for Pulmonary Embolism Segmentation
• [ShapeMI] What Does Anatomical Shape Know About You? A Multi-Organ, Shape-Only Study of Demographic Prediction, Attribution, and Privacy

Waddle, Spencer L.

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Wadhwa, Varun

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Wagle, Satish

• [DEMI2026] CheXQuery: Anatomy and Condition Guided Radiology Report Generation under Limited Data

Wahid, Sheikh Abdul

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Wakefield-Skórniewska, Zuzanna A.

• [SASHIMI] Evaluation of Clinically Steerable Retinal Image Generation from Foundation Model Latent Spaces

Walia, Vidushi

• [REG2026] Graph-Constrained Visual Grounding for Pathology Reasoning

Wallace, Michael B.

• [MLMI] SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Wally, Youssef

• [COMPAYL] CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

Walsh, Claire L.

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Wane, Papa Seydou

• [MIRASOL] SKDrepaData: A Multisite West African Blood Smear Dataset for Automated Sickle Cell Disease Detection and Classification

Wang, Alan

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Wang, Alissa Yuxuan

• [DT4H] VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Wang, Angela Feixue

• [HAIC26] A3F: Anatomy-Aware Actionable Feedback for Fetal Ultrasound

Wang, Austin

• [UNSURE2026] SegWithU: Deterministic Perturbation Probes for Single-Backbone-Pass Risk-Aware Medical Image Segmentation

Wang, Avery Shuo

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Wang, Bin

• [ODIN-challenges] CBCT Tooth and Pulp Segmentation via Watershed Fusion and Lightweight Dual-Branch nnU-Net
• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Wang, Bingxue

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Wang, Boya

• [CARE] A Unified Registration-Guided 3DINO Framework for Semi-Supervised Liver Segmentation and Patch-Based Liver Fibrosis Staging under Missing Modalities

Wang, Changmiao

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

Wang, Cheng

• [MedAgent] HarmoAgent: An Autonomous LLM Agentic Framework for Adaptive and Traceable Multi-Site MRI Harmonization
• [ELAMI] Sliding window-based local feature extraction for findings reports generation from longitudinal 3D CT volumes

Wang, Chenghao

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Wang, Chengyan

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Wang, Chenxu

• [CARE] Decoupling Supervision and Recoupling Context: Reliability-Aware Soft-Prior Learning for Myocardial Scar and Edema Segmentation

Wang, Ching-Wei

• [ISLES] Ladle-ResEncL with Lesion-Size-Weighted Learning for Ischemic Stroke Lesion Segmentation

Wang, Clinton

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction

Wang, Dinghui

• [STACOM] ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation

Wang, Dongsheng

• [FoundUS] SonoAdapt: Foundation Model Adaptation for Supervised Multi-Task Ultrasound Biometry

Wang, Ersi

• [FoundUS] USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement

Wang, Fangchen

• [CARE] AGSW-LAMS: Adaptive Gaussian Soft Windowing for Left Atrial Multi-Structure Segmentation

Wang, Fangyijie

• [MedReason] A Task-Routed Hybrid Vision–Language System for Medical Visual Question Answering, and a Calibrated Analysis of the Open-Ended Reasoning Ceiling
• [CaPTion] Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer
• [ASMUS] From Pretraining to Clinical Tasks: Transfer of Foundation Models in Ultrasound Multi-Task Learning

Wang, Feng

• [ODIN-challenges] Clinically Guided Rendering for Orthodontic Report Generation
• [AFRICAI] CT X-ray Tube RUL Estimation Under Data Scarcity in Low-Resource Hospitals

Wang, Guili

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Wang, Guotai

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation
• [MAMA-SYNTH] Two-Stage Enhancement-Field Synthesis of Contrast-Enhanced Breast MRI from Pre-Contrast Slices

Wang, Haiy

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Wang, Hao

• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Wang, Hao-Jung

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation

Wang, Haotian

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Wang, Hongjuan

• [BraTS-PEDs] HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation
• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI
• [BraTS-GoAT] MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

Wang, Hongming

• [BraTS-METS] Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

Wang, Hongqiu

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery

Wang, Huilan

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Wang, Jiacheng

• [CARE] LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation
• [ADSMI2024] Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation

Wang, Jianing

• [ShapeMI] SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections

Wang, Jiatao

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Wang, Jiayi

• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Wang, Jiazheng

• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Wang, Jing

• [MWM] Multimodal Data Integration via Digital Twins: Analysis of Aneurysm Rupture Risk Factors

Wang, Jingxuan

• [UNSURE2026] Explanation Uncertainty in the Classification of Pulmonary Nodules
• [MLCN-2026] MEROS: Multi-view Expert Routing in Ordinal Space for MDD Spectrum Assessment

Wang, Jiyao

• [MLCN-2026] SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis

Wang, Jiying

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Wang, Juncheng

• [MVAA] Mitral Valve Anatomy Segmentation for Multimodal Data

Wang, Kai

• [HECKTOR] HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

Wang, Kang

• [MAMA-SYNTH] When Regression Beats Generation: Virtual Contrast-Enhanced Breast MRI and What Its Metrics Reward
• [ISLES] LightMedSeg-ISLES: Stroke Lesion Segmentation with 81× Fewer Parameters than nnU-Net
• [BraTS-Inpainting] Anatomy-Aware Healthy Brain Inpainting: Integrating Tissue Guidance Across Inputs, Features, and Objectives

Wang, Kefan

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy

Wang, Kexin

• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Wang, Lai

• [ODIN-challenges] Medication-Safe Dual-Encoder Retrieval for Structured Dental Report Prediction from CBCT

Wang, Li

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Wang, Liansheng

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading
• [ADSMI2024] Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation

Wang, Likun

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Wang, Ling

• [HAIC26] Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Wang, Linwei

• [DT4H] Modeling Progression of Microwave Ablation Volumes by Neural Surrogates
• [DT4H] Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure

Wang, Lisheng

• [ODIN-challenges] Segmentation-Guided 3D Dental ROI Transformer for Structured Clinical Report Generation from CBCT
• [CARE] Stable Morphology, Unstable Deep Classifiers: Morphology-Guided Ranking in Unlabeled Liver MRI Cohorts

Wang, Liuying

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Wang, Liwen

• [FoundUS] MABA: Measurement-Aware Biometry Adaptation for Landmark-Based Ultrasound

Wang, Longwei

• [BraTS-METS] Resection-Cavity-Aware Segmentation of Brain Metastases for BraTS 2026

Wang, Lu

• [MRIxFields2026] N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation
• [MRIxFields2026] DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation
• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Wang, Lyuyang

• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Wang, Meiyun

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Wang, Mengfei

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis
• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Wang, Mengxiao

• [DT4H] Rapid Electrophysiology Simulation and Inverse Optimization based on Multi-Task Surrogate Modeling for Cardiac Digital Twins

Wang, Peilin

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Wang, Qian

• [MRIxFields2026] FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization
• [MRIxFields2026] Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation
• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT
• [BraTS-PEDs] Hierarchical nnU-Net Logits for Pediatric Brain Tumor Subregion Segmentation

Wang, Qianqian

• [MLMI] Anatomy-Constrained Neural Dynamics Learning with Function-Structure Coupling for Cognitive Decline Analysis

Wang, Rui

• [MLMI] Improving Medical Image Generative Models with Fréchet Distance Loss

Wang, Ruifeng

• [BraTS-METS] Gated Frequency-Enhanced Class-Wise Ensemble for Brain Metastases Segmentation

Wang, Ruiqi

• [OMIA] OphthaAgent: Learning Cognitive Prudence for Reliable Fundus Diagnosis via Tool-Augmented Reinforcement Learning

Wang, Ruixiang

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Wang, Shanshan

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Wang, Shengming

• [CMRSeg] CardioWorld-GQ: An Observation-Conditioned Cardiac Imaging World Model with a Differentiable Clinical Readout and Calibrated Endpoint Uncertainty

Wang, Shishuai

• [UNSURE2026] Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping

Wang, Shuihua

• [DGM4MICCAI] Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff
• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Wang, Shujun

• [MVAA] Mitral Valve Anatomy Segmentation for Multimodal Data

Wang, Shuo

• [MRIxFields2026] Unified Source-Conditioned Translation with Shared-Cycle Refinement for Any-to-Any Cross-Field Brain MRI
• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Wang, Shuyu

• [MWM] Multimodal Data Integration via Digital Twins: Analysis of Aneurysm Rupture Risk Factors

Wang, Siyao

• [MedAgent] LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

Wang, Siyu

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Wang, Tianfu

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks
• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment
• [ELAMI] BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

Wang, Tianyi

• [HEADLINE] Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

Wang, Ting-Yi

• [ISLES] Ladle-ResEncL with Lesion-Size-Weighted Learning for Ischemic Stroke Lesion Segmentation

Wang, Weijie

• [MedAgent] Ask4VG: A Risk-Aware Question Selection Agent for Reducing Prior-Driven Answers in Medical VQA

Wang, Weiru

• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Wang, Xiang

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Wang, Xiaojuan

• [MVAA] Boundary-Aware and Semi-Supervised Baselines for Multi-Modal Mitral Valve Anatomy Analysis

Wang, Xiaoliang

• [MedAgent] Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

Wang, Xin

• [MAMA-SYNTH] MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement
• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies
• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT
• [CARE] Improving Cross-Site Whole-Heart Segmentation
• [BraTS-METS] Pre- and Post-Treatment Brain Metastases Segmentation Using nnU-Net with Post-Processing for BraTS 2026
• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Wang, Xingyao

• [DT4H] Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging

Wang, Xinyue

• [BrainWorks] Reliability-aware Multimodal Fusion for Brain Tumor Segmentation

Wang, Xiuying

• [SASHIMI] Relative Loss Balancing for High-Fidelity Synthetic CT Generation in the Abdomen

Wang, Xue

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Wang, Yangang

• [STACOM] MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction

Wang, Yaohong

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics

Wang, Yifan

• [CaPTion] TRAIL: Trajectory-Aware Reward Attribution and Inference for Longitudinal Multiple Myeloma Treatment Trajectories

Wang, Yinlong

• [CMRxRecon2026] Curriculum Learning and ROI-Aware Supervision for Highly Accelerated 4D Flow MRI Reconstruction

Wang, Yipei

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment
• [UNSURE2026] Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR
• [FoundUS] A Unified Semi-Supervised Framework for Multi-Task Ultrasound Biometry Landmark Detection
• [CaPTion] Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Wang, Yiwei

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Wang, Yong

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Wang, Yu

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Wang, Yuanhan

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
• [FoundUS] CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Wang, Yuanyuan

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging
• [FoundUS] USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement
• [EchoRisk] Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment

Wang, Yuexia

• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Wang, Yufei

• [ODIN-challenges] MMLVM: Geometry-Aware Multimodal Language Modeling for Orthodontic Report Generation

Wang, Yulin

• [MRIxFields2026] Unified Cross-Field Multi-Contrast MRI Translation and Harmonization
• [MLMI] A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement
• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

Wang, Yuning

• [OMIA] Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification
• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Wang, Yuqi

• [COMPAYL] Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Wang, Yurui

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Wang, Yuxue

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Wang, Zengyan

• [AMAI] Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

Wang, Zhenkuan

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Wang, Zhi

• [OMIA] A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

Wang, Zhixiang

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Wang, Zi

• [STACOM] Learning from Acquisition: Metadata-driven Multimodal Pre-training for Cardiac MRI

Wang, Zian

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Wang, Zihan

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

Wang, Zilong

• [MRIxFields2026] Unified Source-Conditioned Translation with Shared-Cycle Refinement for Any-to-Any Cross-Field Brain MRI

Wang, Ziyang

• [MedReason] Two-Stage LoRA Adaptation of Qwen3-VL for Image-Grounded Medical Visual Question Answering
• [MedReason] The Label Is Not the Answer: Output-Schema Anchoring in Medical Multimodal MCQ Evaluation
• [MedReason] A Task-Routed Hybrid Vision–Language System for Medical Visual Question Answering, and a Calibrated Analysis of the Open-Ended Reasoning Ceiling
• [MLMI] Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging
• [FoundUS] Encoder Capacity Is the Binding Constraint in Unified Multi-Task Ultrasound Landmark Detection

Wang, Ziyi

• [CREATE] StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Ward, Tomas E.

• [EMERGE] Label-Efficient Multimodal Microsleep Forecasting via Interpretable Disagreement-Driven Active Learning

Wardlaw, Joanna M.

• [SWITCH] Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Ware, Jeffrey B.

• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Warfield, Simon K.

• [BraTS-METS] Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

Warr, Hermione

• [UNSURE2026] Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

Wasi, Azmine Toushik

• [MedAgent] Why Benchmark Accuracy Fails to Measure Clinical Reasoning in Medical Vision-Language Models: Toward Clinical Adversarial Validation

Wasi, Sefatul

• [MIRASOL] RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities
• [EMA] SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
• [CAPI-WOMEN] PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Wassermann, Demian

• [cdmri] DiffBench: A Benchmark Toward Reproducible Evaluation in Diffusion MRI Prediction

Watanabe, Daisuke

• [UNSURE2026] Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Wattenhofer, Roger

• [ELAMI] Authority-Preserving Evaluation of Medical Vision-Language Assistants
• [ELAMI] FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Weaver, John

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Webb, Andrew

• [MRIxFields2026] Conditional Flow Matching for Cross-Field MRI Harmonisation
• [MRIxFields2026] A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation
• [MLMI] Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

Webber, George

• [RIME] Generative Priors for Total-Body PET Reconstruction
• [Off-Grid] Learning Cardiac Motion Priors for Implicit Neural Representations

Weers, Alexander

• [DGM4MICCAI] When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Wegener, Susanne

• [SWITCH] X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Wei, Chen-An

• [BraTS-METS] ACORN: Asymmetric Conditional Overlapping RAVSS Network for Segmenting Small Brain Metastases

Wei, Hongbin

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Wei, Jianming

• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Wei, Shuwen

• [SASHIMI] Sample Structure, Refine Contrast: Zero-Shot MR Image Harmonization with a Phase-Preserving Diffusion Prior
• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping

Wei, Siqi

• [SWITCH] PROFIT: Prototype-Guided Few-shot Inference and Transfer for Multimodal Stroke Diagnosis

Wei, Wei

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Wei, Yuhao

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Wei, Yuxin

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Wei, Zheng

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Wei, Zhipeng

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification

Weidner, Jonas

• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver

Weiherer, Maximilian

• [ShapeMI] An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts
• [ShapeMI] Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Weiss, Viktoria

• [COMPAYL] Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Welk, Martin

• [ML-CDS2026] Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Wellein, Gerhard

• [BraTS-Path] Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

Wells, William M.

• [PIPPI] Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Wen, Feng

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Wen, Hao

• [CARE] Beyond Cavity Constraints: A Systematic Evaluation of Spatial Priors in Cascaded Left Atrial Scar Segmentation

Wen, Zhengtu

• [ODIN] CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

Weng, Jing-Yao

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Weng, Ying

• [BraTS-Path] Patch-Level Glioblastoma Subregion Classification with Foundation Model and Hierarchical Balanced Sampling

Wenkel, Evelyn

• [Deep-Brea3th] Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

Wermelinger, Linda

• [ISIC] Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

Werner, René

• [ISLES] MWCA-Net: Metadata-Conditioned 3D UNet for ISLES 2026 Stroke Segmentation

Wetzer, Elisabeth

• [COMPAYL] CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

Whitby, Elspeth

• [PIPPI] The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Wickstrøm, Kristoffer Knutsen

• [iMIMIC] RESHAPE: Representation Learning for the Explainability of Shapes

Widmer, Antoine

• [MWM] Adversarial-Contrastive Domain Generalization for Cross-Site Autism Spectrum Disorder Classification from Resting-State fMRI
• [MLCN-2026] Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification

Wiesinger, Florian

• [RIME] STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising
• [MLMI] Model-based distortion correction for Magnetic Resonance Echo Planar Imaging

Wiestler, Benedikt

• [SASHIMI] MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models
• [RIME] STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising
• [MIART] Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis
• [COMPAYL] MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention
• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Wild, Jim M.

• [TIA] Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN and Transformer Architectures
• [TIA] Comparison of intensity, transformation, and hybrid non-contrast CT ventilation methods for discriminating health from obstructive lung disease

Willaert, Robin

• [MedAgent] FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

Willems, Siri

• [MWM] Future Querying: Can LLMs Serve as Implicit Medical World Models?

Williams, Mayinja Bob

• [MIRASOL] Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Wilms, Matthias

• [Off-Grid] INR-based FPCA for Efficient Analysis of Longitudinal Neuroimaging Data
• [CaPTion] TRAIL: Trajectory-Aware Reward Attribution and Inference for Longitudinal Multiple Myeloma Treatment Trajectories
• [AIIG2024] Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Windell, Dylan

• [COMPAYL] Morphospatial Phenotyping of p21-Positive Hepatocytes in Chronic Liver Disease

Winder, Anthony J.

• [AIIG2024] Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Winter, Nektarios

• [ASMUS] Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI

Wirix-Speetjens, Roel

• [HAIC26] Characterizing Global and Local Model Behavior in Interactive Segmentation

Wisse, Laura E. M.

• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Witschey, Walter

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Wittrich, Marco L.

• [CMMCA] A Differentiable Brain Tumor Mass Effect Solver

Wodzinski, Marek

• [TopAneu] An Anatomy-Aware Staged Pipeline for Vessel-Specific Intracranial Aneurysm Segmentation in CT and MR Angiography
• [ShapeMI] Mind the Gap: Mesh-Guided Repair of Broken Vessels
• [SASHIMI] MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation
• [MAMA-SYNTH] MAMA-FLUX.2: Image-to-Image Synthesis of Post-Contrast Breast DCE-MRI for the MAMA-SYNTH Challenge
• [ISLES] SADL: A Size-Adaptive Decision Layer for Chronic Stroke Lesion Segmentation in ISLES 2026
• [EMA] One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training

Wolf, Daniel Santak

• [MedAgent] A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
• [CLiMeM] Investigating Test-Time Adaptation of Convolutional Neural Networks for Medical Image Analysis under Distribution Shifts
• [AMAI] Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

Wolf, Lior

• [OMIA] In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

Wolff, Jason J.

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Wolfgruber, Thomas K.

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Wolk, David A.

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Wolleb, Julia

• [Off-Grid] Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion

Wolterink, Jelmer M.

• [STACOM] Multi-Stage Vascular Deformation Mapping in Extracranial Carotid Aneurysms
• [Off-Grid] Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning
• [Off-Grid] Overlap-Free Multi-Organ Shape Synthesis with Implicit Neural Representations
• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Won, Jongjun

• [LISA] A 2.5D Ordinal Quality Assessment and Metadata-Preserving Residual Restoration Framework for Ultra-Low-Field Pediatric Brain MRI
• [BraTS-GoAT] Generalizable Brain Tumor Sub-Region Segmentation Across Tumor Entities via Recall-Oriented Pseudo-Labeling and Modality-Dropout Dual-View Ensembling
• [AIMS-TBI] Task-Specific T1 MRI Pipelines for TBI: Knowledge-Distilled Segmentation and ICV-Cascaded Detection

Wong, Benny

• [EMA] Active few-shot segmentation by reinforcing data selection

Wong, Tak-siu

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Woo, Jonghye

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

Woo, Lynn

• [PedAItrics] Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Woodcock, Dan J.

• [COMPAYL] QUERY-ST: Language-Guided Retrieval Across Histology and Spatial Transcriptomics

Woodland, McKell E.

• [UNSURE2026] Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation
• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Woodruff, Henry C.

• [MAMA-SYNTH] Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching

Wortel, Inge

• [DT4H] Cohort-Level Twinning in an Agent-Based Model of Metastatic Tumor Growth

Wouters, Lin

• [DT4H] Cohort-Level Twinning in an Agent-Based Model of Metastatic Tumor Growth

Wu, Beining

• [PIPPI] R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound
• [FoundUS] CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Wu, Bo

• [OMIA] A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

Wu, Chenjie

• [CMMCA] OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication

Wu, Chunshuang

• [MIRASOL] Soft Temporal Scoring Using a Foundation Model: Optimal Frame Selection for Improved ONSD Measurement in Ultrasound Videos

Wu, Dengjiang

• [PIPPI] The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Wu, Dijia

• [MLMI] Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation
• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Wu, Donghan

• [OMIA] A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

Wu, Guangyu

• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Wu, Han

• [MVAA] MVAA-UniSeg: A Query-Conditioned Universal Model with Modality-Specific Experts for Mitral Valve Segmentation

Wu, Hao

• [MAMA-SYNTH] Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement

Wu, Haonan

• [ODIN-challenges] Coordinate-Aware Point Cloud Registration for Crown-to-Root Alignment in CBCT and Intraoral Scans
• [ODIN-challenges] CPMT: Cross-Plane Masked Prototype-Gated Mean Teacher for CBCT-to-Clinical Record Prediction

Wu, Haoyu

• [CARE] Pseudo-Label-Enhanced Liver Segmentation and Mask-Guided Patch Learning for Fibrosis Staging Classification

Wu, Ji

• [HEADLINE] Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

Wu, Jianghao

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

Wu, Jiesheng

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Wu, Jinlin

• [CREATE] Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting

Wu, Junyang

• [EndoLINA] Adapting Generalizable Visual Geometry Models for Endoscopic 3D Reconstruction
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Wu, Kuan-Ting

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Wu, Mengqi

• [SASHIMI] ∆-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge
• [MLMI] Anatomy-Constrained Neural Dynamics Learning with Function-Structure Coupling for Cognitive Decline Analysis

Wu, Miao

• [ASMUS] EchoFAM: Frequency Prior-Driven Adaptation of SAM2 for Echocardiography Video Segmentation

Wu, Pengbo

• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Wu, Qingxia

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Wu, Ren-Chin

• [iMIMIC] SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

Wu, Ruiming

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Wu, Shandong

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Wu, Victoria

• [ASMUS] EchoAFR: Echocardiography Multi-video Report Generation Through Anatomical and Functional Aware Hierarchical Q-former

Wu, Xiangjun

• [CMRSeg] Geometry-Aware View Routing with Hybrid 2.5D–3D Context for Multi-View Cine CMR Segmentation

Wu, Xiaodong

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Wu, Xintong

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Wu, Yagang

• [MVAA] BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Wu, Yang

• [MRIxFields2026] FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization
• [MRIxFields2026] Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation

Wu, Yanhong

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Wu, Yaping

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Wu, Yi

• [CMMCA] Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

Wu, Yihong

• [REG2026] Structured Context Rendering for Consistent Pathology Workflows and Reports from Whole-Slide Images

Wu, Yizhou

• [DT4H] Anticipatory Digital Twins for Online Head-and-Neck Adaptive Proton Therapy via Foundation-Model Registration

Wu, Yongji

• [MVAA] Task-Specific Multimodal Mitral Valve Segmentation for MVAA 2026
• [FoundUS] A Unified Foundation-Model Framework with Semi-Supervised Consistency and Heatmap Ensembling for Nine-Task Ultrasound Biometry Regression

Wu, Yu-Te

• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Wu, Yuehan

• [MRIxFields2026] N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation
• [MRIxFields2026] DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation

Wu, Yuyang

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification

Wu, Zhengwang

• [MLMI] SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

Wu, Zhengzheng

• [ASMUS] ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

Wu, Zhenquan

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Wu, Zhigang

• [MVAA] Boundary-Aware and Semi-Supervised Baselines for Multi-Modal Mitral Valve Anatomy Analysis

Wu, Zhiying

• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale

Wu, Ziling

• [DEMI2026] Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Wyatt, Julian

• [EMA] How Do Train-Time Pruning Dynamics and Pruning Schedules Affect Retinal Vessel Segmentation?

Wynne, Claire

• [AFRICAI] Harmful or Helpful? When Precision-Recall Balance Governs Safe QGFL Transfer in Malaria Detection

Wysocki, Magdalena

• [ASMUS] Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations
• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Wörz, Stefan

• [ASMUS] Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Würtinger, Daniel

• [EMA] MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

Xavier, Aline

• [MIRASOL] LDCT-to-SDCT as a Bridge Problem: Single-Step Residual Endpoint Flow Matching for Real-Time Denoising

Xavier, Sarin

• [STACOM] Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Xi, Lin

• [STACOM] MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography Videos

Xia, Jingming

• [EchoRisk] A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction

Xia, Ling

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Xia, Qingling

• [CARE] Topology-Guided Lightweight 2.5D Liver Segmentation for Limited-Annotation Multi-Center Fibrosis MRI

Xia, Tian

• [Deep-Brea3th] Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Xia, Yan

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Xia, Yong

• [MedReason] Task-Routed Low-Rank Adaptation with Grounded Supervision for Medical Visual Question Answering
• [MLMI] Efficient and Faithful Retrieval-Augmented Medical VQA via Intention-Guided On-Policy Self-Distillation
• [MLMI] M-SFDA: Meta Network with Spatial Interaction for Source-Free Domain Adaptation in Prostate MRI Segmentation using Segment Anything Model
• [BraTS-Path] GLAD-Net: Adaptive Multi-Teacher Distillation of Vision Foundation Models for Fine-Grained Glioma Histopathology

Xia, Yuming

• [MRIxFields2026] Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge

Xiang, Lei

• [MRIxFields2026] FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization
• [MAMA-SYNTH] Supervised Virtual Contrast Enhancement in Breast MRI with Multi-Domain Losses and Lesion-Aware Decoding

Xiao, David

• [MIRASOL] Edge Deployment of Multimodal Clinical AI on Low-Cost Hardware for Resource-Constrained Settings

Xiao, Furen

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Xiao, Jiannan

• [CMRxRecon2026] Residual-Gated Data Consistency and Phase-Locked Magnitude Refinement for Accelerated 4D Flow MRI

Xiao, Shengtao

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Xiao, Yiming

• [MLCN-2026] MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation
• [MI4MedFM] Leveraging Projected Residual Stream Decomposition for Mechanistic Probing and Parameter-Efficient Repair of Biomedical CLIPs

Xiao, Yuliang

• [CMRxRecon2026] Phase-Coupled State-Space Reconstruction for Ultra-Accelerated 4D Flow MRI
• [CMRxRecon2026] Stage-Aligned Knowledge Distillation for Fast and Memory-Efficient 4D Flow MRI Reconstruction

Xiao, Yuxiang

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment
• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Xiao, Zhennan

• [PIPPI] Shift functions with a spatial block bootstrap for within-subject comparison of placental T2* distributions under maternal hypoxia in a nonhuman primate model

Xie, Long

• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Xie, Wenqing

• [OMIA] OphthaAgent: Learning Cognitive Prudence for Reliable Fundus Diagnosis via Tool-Augmented Reinforcement Learning

Xie, Xinyu

• [MAMA-SYNTH] Supervised Virtual Contrast Enhancement in Breast MRI with Multi-Domain Losses and Lesion-Aware Decoding

Xie, Yutong

• [MI4MedFM] Counterfactual Activation Patching of Pleural-Effusion Boundary Failures in MedSAM
• [CaPTion] Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis

Xie, Zhaoheng

• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Xie, Zixun

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Xin, Bowen

• [SASHIMI] Relative Loss Balancing for High-Fidelity Synthetic CT Generation in the Abdomen

Xing, Fangxu

• [DGM4MICCAI] Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

Xing, Xuechun

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Xing, Yingqi

• [CREATE] AI-Guided User Interface Enables Standardized Carotid Ultrasound Scanning After Minimal Training: A Comparative Experimental Study

Xing, Yushan

• [FoundUS] High-Resolution DINOv3-DSNT Landmark Regression for Multi-Organ Ultrasound Biometry

Xiong, Juming

• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Xiong, Weiqing

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Xiong, Yiheng

• [AMAI] Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

Xiong, Yun

• [MWM] Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Xu, Chenchen

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Xu, Chenfan

• [HECKTOR] Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026
• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

Xu, Chenqi

• [ASMUS] BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Xu, Chi

• [MLMI] Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning

Xu, Di

• [MIART] Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy

Xu, Fangqiang

• [STACOM] FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI

Xu, Feijian

• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Xu, Han

• [MVAA] Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

Xu, Hao

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank

Xu, Hui

• [MVAA] Task-Specific Segmentation Pipelines for the MVAA Challenge

Xu, Jie

• [MVAA] From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging

Xu, Jingxian

• [MLMI] Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction

Xu, Jinning

• [ASMUS] ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

Xu, Kaiqiang

• [MRIxFields2026] FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling

Xu, Lucheng

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Xu, Min

• [MI4MedFM] PATH-DISSECT: Interpreting Concept Representation and Classifier Reliance in Pathology Foundation Models with Sparse Autoencoders
• [CaPTion] Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis

Xu, Minxuan

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Xu, Moucheng

• [SASHIMI] Reverse Spatio-Temporal Disease Progression Modelling
• [DEMI2026] Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

Xu, Qing

• [MVAA] MVAA-Seg: A Multi-Stage Segmentation Framework for Mitral Valve Anatomy Analysis
• [FoundUS] UniUSB: Domain-Aware Adaptation of Vision Foundation Models for Unified Multi-Domain Ultrasound Biometry
• [CMRSeg] DINO-CMR: DINOv3-Driven View-Hybrid Segmentation with Decoupled Measurement for Multi-Sequence CMR
• [BraTS-METS] Region-Wise Logit Fusion and Utility-Gated Refinement for Brain Metastasis Segmentation

Xu, Qinmei

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Xu, Rong

• [MLMI] Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis

Xu, Rongxu

• [LISA] Dual-Annotation Assisted Boundary-Aware Segmentation for Ultra-Low-Field Pediatric Brain MRI

Xu, Ruoshi

• [CARE] CIRSeg: Coarse-to-Fine Intensity-Robust Liver Segmentation with Source-Free Continual Test-Time Adaptation

Xu, Ruru

• [LISA] Automated Artifact Quality Control for Pediatric Low-Field MRI via Plane-Aware CNNs and BrainFM Feature-Pyramid Expert Merging
• [EMA] Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI

Xu, Rusheng

• [ODIN-challenges] CBCT Tooth and Pulp Segmentation via Watershed Fusion and Lightweight Dual-Branch nnU-Net

Xu, Shipu

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Xu, Wangyang

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

Xu, Wei

• [ODIN-challenges] Geometry-Guided Identity Correction for Semi-Supervised CBCT Tooth and Root-Canal Segmentation

Xu, Wenlong

• [DT4H] A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles

Xu, Xin

• [MRIxFields2026] Unified Source-Conditioned Translation with Shared-Cycle Refinement for Any-to-Any Cross-Field Brain MRI

Xu, Xinyuan

• [MRIxFields2026] Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge

Xu, Xuanang

• [MLMI] Improving Medical Image Generative Models with Fréchet Distance Loss
• [EchoRisk] CNN and ViT Backbone Fine-Tuning with Pseudo-Label Segmentations for the EchoRisk Challenge

Xu, Yanwu

• [OMIA] Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification
• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Xu, Yiling

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Xu, Yongli

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Xu, Zhe

• [DGM4MICCAI] A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

Xu, Zhezhuang

• [CARE] Wall-Band Anatomical Prior-Guided 3D nnU-Net for Left Atrial Scar Segmentation in LGE-MRI

Xu, Zibo

• [MedAgent] Ask4VG: A Risk-Aware Question Selection Agent for Reducing Prior-Driven Answers in Medical VQA

Xu, Ziyue

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
• [DeCaF] FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Xuan, Weihao

• [REG2026] Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

Xue, Cheng

• [REG2026] Structured Context Rendering for Consistent Pathology Workflows and Reports from Whole-Slide Images
• [MWM] SurgGenesis: A Generative Surgical World Model for Future-Aware Surgical Understanding

Xue, Jun

• [REG2026] Structured Context Rendering for Consistent Pathology Workflows and Reports from Whole-Slide Images

Xue, Lanyan

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Xue, Li

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Xue, Liyi

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Xue, Mengyuan

• [CMRxRecon2026] Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction

Xue, Zhong

• [MWM] TNCMeasure: Anatomy-Guided and Geometry-Constrained Vision-Language Learning for Thyroid Nodule-to-Capsule Distance Measurement
• [MLMI] Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning
• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Yacoub, Essa

• [PIPPI] Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Yadav, Harsh

• [BraTS-PEDs] Sub-Region-Specific Deep Learning Model for Pediatric Brain Tumor Segmentation on Multi-Parametric MRI

Yadav, Navnit Kumar

• [MIRASOL] Local Audit Certification of Transferred Medical Imaging Models in Resource-Constrained Settings

Yadav, Siddhartha

• [COMPAYL] A Benchmark of Foundation Models for Chemotherapy Response Scoring in High-Grade Serous Ovarian Cancer

Yadav, Yashawant Kumar

• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging

Yakubu, Kanyiri Ahmed

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Yakubu, Mubaraq

• [MIRASOL] NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Yamamoto, Shinobu

• [UNSURE2026] Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials

Yamane, Takehiro

• [ADSMI2024] Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

Yamao, Kentaro

• [CaPTion] Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Yamaoka, Yu

• [ADSMI2024] Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages

Yamin, Muhammad

• [ISIC] Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

Yan, Chang

• [STACOM] Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification

Yan, Tianxu

• [ODIN-challenges] Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Yan, Ting

• [ODIN-challenges] CBCT Tooth and Pulp Segmentation via Watershed Fusion and Lightweight Dual-Branch nnU-Net

Yan, Wen

• [UNSURE2026] Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR
• [CaPTion] Task-Guided Deformable Registration for Prostate MRI Analysis
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Yang, Chunna

• [ASMUS] Global to Local Registration: Transferring Pretrained Registration Models to CT/MR–Ultrasound via Anatomical Supervision

Yang, Donglin

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Yang, Guang

• [STACOM] Learning from Acquisition: Metadata-driven Multimodal Pre-training for Cardiac MRI

Yang, Haichun

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Yang, Hang

• [MVAA] Modality-Aware Segmentation of Mitral Valve Anatomy in CT, 3D TEE, and Surgical Video

Yang, Honglong

• [MedAgent] Which Tool Response Should I Trust? Towards Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Reinforcement Learning

Yang, Hongxu

• [MI4MedFM] GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation
• [DGM4MICCAI] PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

Yang, Huai-Che

• [DeCaF] Federated Learning for Brain Arteriovenous Malformation Segmentation: A Feasibility Study Across Four Hospitals and Two Continents

Yang, Hyun

• [AIMS-TBI] Rebalancing Lesion Exposure: Instance-Aware Sampling for msTBI Lesion Segmentation

Yang, Hyung-Jeong

• [BraTS-Inpainting] Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Yang, Jian

• [EchoRisk] Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment
• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Yang, Jiancheng

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction
• [MLMI] Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation

Yang, Jing-Cheng

• [iMIMIC] Spatial Message Passing in Language Space for Pathology Image Interpretation

Yang, Jingjing

• [DeCaF] Class Prototype Alignment Concentrates Chest X-ray Representations in Federated and Pooled Training

Yang, Junlin

• [MLCN-2026] SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis

Yang, Kaixiang

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment
• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Yang, Litao

• [TIA] Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation

Yang, Mengting

• [ASMUS] Medical Image Registration Metrics Examined for TRUS-Guided Prostate Interventions

Yang, Mo

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Yang, Panhui

• [EMERGE] GF-BrainSR: Gated Frequency-Aware Selective State Space Model-Based Brain MRI Image Super-resolution

Yang, Peng

• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment
• [ELAMI] BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

Yang, Qi

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Yang, Qianye

• [FoundUS] A Unified Semi-Supervised Framework for Multi-Task Ultrasound Biometry Landmark Detection
• [EMA] Active few-shot segmentation by reinforcing data selection
• [DEMI2026] Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

Yang, Rui

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Yang, Shaoshuai

• [HEADLINE] Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

Yang, Shilong

• [MVAA] Task-Specific Multimodal Mitral Valve Segmentation for MVAA 2026
• [FoundUS] A Unified Foundation-Model Framework with Semi-Supervised Consistency and Heatmap Ensembling for Nine-Task Ultrasound Biometry Regression

Yang, Shu

• [MLMI] A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Yang, Su

• [ODIN] PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Yang, Suhang

• [ODIN-challenges] DentSAFER: Action-Aware Field Retrieval for Structured Dental CBCT Reporting

Yang, Tianqi

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Yang, Wen

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Yang, Xiaofeng

• [DT4H] Anticipatory Digital Twins for Online Head-and-Neck Adaptive Proton Therapy via Foundation-Model Registration

Yang, Xiaohui

• [MWM] Multimodal Data Integration via Digital Twins: Analysis of Aneurysm Rupture Risk Factors

Yang, Xin

• [MVAA] Hybrid-Supervised Multi-Task Network for Multi-Modal Perioperative Mitral Segmentation
• [CMRSeg] Multi-View CMR Segmentation with Clinical Quantification for Cine and LGE: Vista3D and DINOv2-DPT
• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Yang, Xinnian

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis

Yang, Xinyu

• [MVAA] Robust Multimodal Mitral Valve Segmentation with Volumetric Anchors and Uncertainty-Guided Surgical-Frame Refinement
• [CMRSeg] View-Specialized CMR-MULTI Segmentation with Metric-Gated Clinical Output Calibration

Yang, Xuan

• [STACOM] MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction

Yang, Yang

• [MAMA-SYNTH] When Regression Beats Generation: Virtual Contrast-Enhanced Breast MRI and What Its Metrics Reward
• [ISLES] LightMedSeg-ISLES: Stroke Lesion Segmentation with 81× Fewer Parameters than nnU-Net
• [CMRxRecon2026] SDUM-Flow: Data Synthesis and Augmentation for Robust Unrolled 4D flow MRI Reconstruction
• [BraTS-Inpainting] Anatomy-Aware Healthy Brain Inpainting: Integrating Tissue Guidance Across Inputs, Features, and Objectives

Yang, Ye

• [MVAA] Task-Specific Multimodal Mitral Valve Segmentation for MVAA 2026
• [FoundUS] A Unified Foundation-Model Framework with Semi-Supervised Consistency and Heatmap Ensembling for Nine-Task Ultrasound Biometry Regression

Yang, Yi

• [AMPLIFAI] Multi-Source Feature Fusion for LI-RADS Classification in Multi-Phase CT

Yang, Yingyu

• [FoundUS] A Unified Semi-Supervised Framework for Multi-Task Ultrasound Biometry Landmark Detection

Yang, Yitao

• [MVAA] BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Yang, Yizhou

• [EndoLINA] SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

Yang, Yue

• [MRIxFields2026] FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling

Yang, Yuechen

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Yang, Yuxin

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Yang, Zehao

• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Yang, Zhikai

• [MAMA-SYNTH] Tumor-Aware Conditional Pix2PixHD with Per-Image Normalization for Virtual Contrast Enhancement in Breast MRI
• [EMA] Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI

Yang, Zhiyong

• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Yang, Zhou

• [ODIN-challenges] CBCT Tooth and Pulp Segmentation via Watershed Fusion and Lightweight Dual-Branch nnU-Net

Yang, Zi

• [MVAA] Boundary-Aware and Semi-Supervised Baselines for Multi-Modal Mitral Valve Anatomy Analysis
• [MRIxFields2026] FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling
• [FoundUS] Semi-supervised DINOv3 Adaptation for Multi-domain Ultrasound Biometry
• [FoundUS] Attention-Gated U-Net with Heatmap Moment Coordinates for Multi-Organ Ultrasound Biometry

Yang, Ziheng

• [CARE] Topology-Guided Lightweight 2.5D Liver Segmentation for Limited-Annotation Multi-Center Fibrosis MRI

Yang, Zixuan

• [CREATE] Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting

Yang, Zongjian

• [MRIxFields2026] FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization
• [MAMA-SYNTH] Supervised Virtual Contrast Enhancement in Breast MRI with Multi-Domain Losses and Lesion-Aware Decoding

Yanikoglu, Berrin

• [ISIC] DermaNet: Flexible-View Fusion for Dermoscopic–Clinical Skin Lesion Classification

Yao, Chenglin

• [OMIA] Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Yao, Jiangchao

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Yao, Jun

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Yao, Linlin

• [ShapeMI] VessComNet: Geometry-Aware 3D Vessel Completion Across Non-Contrast and Contrast-Enhanced CT Images

Yao, Shaoxiong

• [MWM] Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Yao, Tianyuan

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Yao, Yujie

• [MAMA-SYNTH] Two-Stage Enhancement-Field Synthesis of Contrast-Enhanced Breast MRI from Pre-Contrast Slices

Yao, Zhao

• [CARE] DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Yap, Moi Hoon

• [ISIC] Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Yaqub, Mohammad

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
• [CLiMeM] An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

Yarandi, Shadi

• [MLMI] Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

Yassin, Hadya

• [ShapeMI] Deep Shape Regression for Planar Curves with Multimodal Covariates

Yassin, Zeynab

• [COMPAYL] AutoVLAK - An Automated Pipeline for Vision-Language Knowledge Base Curation from Open-Access Medical Literature

Yatabe, Marilia

• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning

Yavuz, Muhammet Sami

• [COMPAYL] MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention

Ye, Chengze

• [MIART] WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Ye, Chuyang

• [SASHIMI] nnDiffusion: A Standardized 3D Diffusion Framework for Medical Image Synthesis

Ye, Huihui

• [CMRxRecon2026] VeloSubspace: Phase-Aware Training-Free Reconstruction for Highly Accelerated 4D Flow MRI

Ye, Jong Chul

• [CMRxRecon2026] Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

Ye, Meng

• [STACOM] Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Data
• [STACOM] Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

Ye, Wei

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Ye, Xujiong

• [EMA] Outlier-Suppressed Transformer for Efficient 3D Medical Image Segmentation

Ye, Yiwen

• [MLMI] Efficient and Faithful Retrieval-Augmented Medical VQA via Intention-Guided On-Policy Self-Distillation

Ye, Yubo

• [DT4H] Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure

Yeghiazaryan, Varduhi

• [MLCN-2026] Automated Segmentation and Height Measurement of Pituitary Gland

Yeh, Yi-Chen

• [REG2026] Slide-Impression-Guided Modular Reasoning for Pathology Report Generation
• [COMPAYL] NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Yendiki, Anastasia

• [cdmri] Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology
• [SASHIMI] AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy

Yeo, Daeun

• [CMRxRecon2026] Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

Yeow, Rui W.

• [SASHIMI] Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Yeung, Ho Yin

• [COMPAYL] OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Yeung, Kak Khee

• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Yeung, Pak-Hei

• [ASMUS] USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance

Yi, Dong

• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale
• [CREATE] Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting

Yi, Paul

• [HAIC26] It’s Time to Talk Human-Centered Research at MICCAI

Yi, Weixi

• [CaPTion] Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty
• [CaPTion] Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Yiasemis, George

• [RIME] End-to-end Adaptive k-space Sampling, Reconstruction and Registration for Dynamic MRI
• [MAMA-SYNTH] MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

Yilmaz, Ali

• [CMRSeg] Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

Yilmaz, Bulent

• [METIS] Multidisciplinary Evaluation and Translation in Imaging and Surgery (METIS) 2026: Bridging Clinical and Computational Communities for the Next Generation of Medical Imaging AI

Yilmaz, Ravza

• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Yin, Hanlong

• [MVAA] Task-Specific Segmentation Pipelines for the MVAA Challenge

Yin, Howard

• [MLMI] CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Yin, Jie

• [MVAA] SurgNeXt: Structured Semantics and Target Presence for Mitral Valve Segmentation in Surgical Video

Yin, Qingfeng

• [EMA] BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition

Yin, Ruiping

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Yin, Yunchao

• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction

Yinsuu, Gideon

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study

Yokota, Tatsuya

• [RIME] Adaptive Prior-Guided Cold Diffusion for Accelerated MRI Reconstruction
• [COMPAYL] Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space

Yoo, Jongwoo

• [COMPAYL] Virtual immune cell prediction from H&E Whole Slide Images

Yoo, Youngjin

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Yoon, Hye Jin

• [ShapeMI] Rethinking Sequence Modeling on Cortical Surfaces: Robustness, Spatial Ordering, and Resolution in Infant Brain Age Prediction

Yoon, Jong-um

• [HAIC26] Toward Agentic Echocardiography: Reinforcement Learning with Foundation-Model Similarity Rewards in a CT-Derived Simulation

Yoon, Kyungho

• [DT4H] 3D Computational Modeling of the Vascular Heat-Sink Effect in Microwave Ablation of Tumors Close to the Aorta
• [DT4H] Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation
• [DT4H] PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation
• [DT4H] tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins
• [DT4H] Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
• [DT4H] Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Yoon, Seoyoung

• [BraTS-PEDs] Stable Boundary Anchoring and Per-Class Champion Source Composition for Pediatric Brain Tumor Segmentation in BraTS-PEDs

Yoon, Yeodong

• [MAMA-SYNTH] Lesion-Aware Virtual Contrast-Enhancement in Breast MRI Using CycleGAN

Yordanov, Nikolay

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

Yoshihara, Kirato

• [SWITCH] VesselBridge3D: A Foundation Model Adaptation Framework for Label-Efficient 3D Vessel Segmentation

Yoshimoto, Shohei

• [HEADLINE] Head CT Report Generation from Subsampled Slices with Candidate Selection
• [AIMS-TBI] Task-Specific MedNeXt and Heterogeneous Ensembling for Traumatic Brain Injury Lesion Analysis on T1-Weighted MRI

You, Caizhen

• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

You, Suhang

• [BraTS-Path] Rare-Class Conditional Routing with Foundation Model Representations for Glioma Histologic Sub-region Classification
• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results
• [BraTS-PEDs] Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge (BraTS-PEDs) 2026: Design and Results

You, Xin

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy

Young, Alistair A.

• [STACOM] Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank
• [STACOM] Cardiac Shape-Derived Endophenotypes and Covariant Correction using Statistical Motion Atlases
• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning
• [Off-Grid] Learning Cardiac Motion Priors for Implicit Neural Representations

Young, Patricia M.

• [DeCaF] Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

Young, Rupert

• [MLMI] Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Young, Sala

• [PIPPI] High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation

Young, Sean I.

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction

Yousefirizi, Fereshteh

• [CLiMeM] Learning to Reason Over Physician Corrections: An Interactive Agentic Framework for 3D Tumor Segmentation

Yousra, Taifour

• [MLMI] GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation

Youssef, Mina

• [EMERGE] LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation
• [EMERGE] MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

Ysern, Maria

• [COMPAYL] Dual-CellNucDETR: Context-Aware Object-Level Cell Analysis

Yu, Cheolhee

• [AIMS-TBI] Rebalancing Lesion Exposure: Instance-Aware Sampling for msTBI Lesion Segmentation

Yu, Chun

• [OMIA] Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

Yu, Ethan

• [CREATE] CT Airway-Map Reliability for Bronchoscopic Planning: A Multi-Cohort Study of Connected Peripheral Endpoints

Yu, Fan

• [ADSMI2024] Variational multimodal distillation for diagnosing plaque vulnerability in carotid 3D MRI

Yu, Haitao

• [BraTS-PEDs] Adapting PTransBTS for Pediatric Brain Tumor Segmentation in BraTS-PEDs 2026

Yu, Hang

• [CLIP] Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Yu, Jia

• [MRIxFields2026] Unified Source-Conditioned Translation with Shared-Cycle Refinement for Any-to-Any Cross-Field Brain MRI

Yu, Jieming

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery

Yu, Junxuan

• [MVAA] Hybrid-Supervised Multi-Task Network for Multi-Modal Perioperative Mitral Segmentation
• [CMRSeg] Multi-View CMR Segmentation with Clinical Quantification for Cine and LGE: Vista3D and DINOv2-DPT
• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Yu, Kun-Hsing

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction
• [DGM4MICCAI] Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff

Yu, Minhui

• [SASHIMI] ∆-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge

Yu, Peixin

• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Yu, Shi

• [EMERGE] Replication and Reproducibility Analysis of Breast Tumor Classification and Segmentation Benchmarks on the BreastDM Dataset

Yu, Tianwei

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Yu, Weimiao

• [COMPAYL] Multi-scale Fusion of Fast Vision Mamba and Foundation Model Features for Patch-Level Gleason Grading in Computational Pathology

Yu, Xin

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Yu, Yicheng

• [EndoLINA] Adapting Generalizable Visual Geometry Models for Endoscopic 3D Reconstruction

Yu, Zhaolong

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Yu, Zixin

• [CMRSeg] Geometry-Aware View Routing with Hybrid 2.5D–3D Context for Multi-View Cine CMR Segmentation

Yuan, Jing

• [CMRSeg] CardioWorld-GQ: An Observation-Conditioned Cardiac Imaging World Model with a Differentiable Clinical Readout and Calibrated Endpoint Uncertainty

Yuan, Junhui

• [CaPTion] SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Yuan, Victoria

• [EchoRisk] Pretrained Echocardiography Video Models for LVEF Estimation and LV Dysfunction Classification

Yuan, Xiaohan

• [STACOM] MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction

Yue, Changpeng

• [ODIN-challenges] Medication-Safe Dual-Encoder Retrieval for Structured Dental Report Prediction from CBCT

Yue, Jianfeng

• [CREATE] Intraoperative AR Visualization of Preoperative (CB)CT via X-Ray Registration

Yue, Qiu

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Yue, Xiaodong

• [CLIP] Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification
• [CLIP] Exempt-KL: Preserving Diagnostic Ambiguity for Reliable Medical Out-of-Distribution Detection

Yun, Hannah

• [TREAT-MMTB] Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling
• [TREAT-MMTB] Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Yun, HyukJin

• [PIPPI] cSVR: Convolutional Slice-to-Volume Reconstruction

Yunus, Reyhan Eddy

• [SAFER] Faithful Reasoning, Not More Reasoning: Chain-of-Thought Ablation for Tuberculosis Findings in Indonesian Chest X-Rays
• [EMA] Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled Vision-Language Models

Yushkevich, Paul A.

• [SASHIMI] Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
• [PIPPI] High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation
• [Off-Grid] From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

Yuwen, Chang

• [TIA] Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation

Yüksel Dal, Demet

• [GRAIL] FBN-Bench: Do Graph-Based Deep Learning Models Improve Functional Brain Network Classification?

Zachariadis, Antonia

• [SASHIMI] Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Zafari, Yalda

• [MLMI] Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification
• [Deep-Brea3th] BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Zahid, Azib

• [TIA] An automated segmentation model for Mucus Plug quantification in Chest CT

Zaian, Abdelrahman

• [OMIA] Retina-RAG: Retrieval-Augmented Vision–Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation

Zaidi, Maryam Fatima

• [HECKTOR] Deep Learning-Based Segmentation and Feature-Based Clinical Prediction for Head and Neck Cancer

Zaitsev, Vladimir

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Zam, Azhar

• [SynthOCT] SynthOCT Challenge: Introduction and Brief Overview

Zamai, Andrew

• [ELAMI] LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports
• [ELAMI] Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

Zaman, Fahim Ahmed

• [DGM4MICCAI] LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

Zamzmi, Ghada

• [FAIMI-BRIDGE-EPIMI] Rethinking Explainability for Clinical Trust: A Task-Specific Communicative Layer

Zan Grande, Henrique

• [BraTS-GoAT] Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

Zanazzi, George

• [BraTS-Path] Histopathologic Brain Tumor Sub-region (BraTS) Classification Challenge 2026: Design and Results

Zapryanov, Vasil

• [SAFER] When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning

Zarif-Fakharnia, AmirHossein

• [ASMUS] Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Zaripova, Kamilia

• [MultiTab] Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information
• [MedAgent] HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition

Zavadil, Balázs

• [AIMS-TBI] ATVNet: Adaptive Transformer-Enhanced V-Net for Automated msTBI Lesion Segmentation

Zavolovich, Bogdan

• [ADSMI2024] The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

Zayim, Beyza

• [ISLES] From Baseline to Bilateral Asymmetry: A Systematic nnU-Net Comparison for Ischemic Stroke Lesion Segmentation in ISLES’26

Zea Monsalve, Lisset Andrea

• [MRIxFields2026] Pairing-Independent Cross-Field MRI Translation: Synthetic Supervision and Structure-Preserving Domain Adaptation for Ultra-Low-Field to High-Field Synthesis

Zeebregts, Clark J.

• [MultiTab] Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

Zeffate, Najoua

• [EMERGE] Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

Zeghlache, Rachid

• [PedAItrics] Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia
• [OMIA] A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices
• [MedAgent] Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

Zeina, Abdel-Rauf

• [PIPPI] SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes

Zelelew, Yibeltal A.

• [ODIN] A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Zellner, Tobias

• [AMAI] Learning Diagnostic Reasoning for Decision Support in Toxicology

Zeng, Pan

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Zeng, Qi

• [MLMI] Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

Zeng, Qingjie

• [MedReason] Task-Routed Low-Rank Adaptation with Grounded Supervision for Medical Visual Question Answering
• [BraTS-Path] GLAD-Net: Adaptive Multi-Teacher Distillation of Vision Foundation Models for Fine-Grained Glioma Histopathology

Zeng, Siqi

• [COMPAYL] PathPool: Decoupled and Pooled Feature Serving for Pathology Foundation Models

Zeng, Wei

• [ODIN-challenges] GQ-TSR: Guarded Query Teacher–Student Retrieval for CBCT-to-Clinical Record Prediction

Zeng, Weichu

• [CMRSeg] View-Specialized Hybrid Segmentation for Multi-View Cardiac MRI: Combining nnU-Net, CineMA, and Scar-Elastic Refinement

Zeng, Xiaojun

• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Zeng, Yao

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis
• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Zeutouo, Jerry Lacmou

• [AFRICAI] A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

Zhai, Ruichao

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression

Zhan, Yufei

• [FoundUS] Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026

Zhang, Bo

• [MRIxFields2026] Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge
• [LISA] Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis

Zhang, Bob

• [EndoLINA] Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

Zhang, Chen

• [MWM] Stochastic High-Frequency Modeling for Uncertainty-Aware Synthetic CT Generation in Radiotherapy

Zhang, Chenghao

• [MLMI] SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

Zhang, Chengyi

• [MedReason] The Label Is Not the Answer: Output-Schema Anchoring in Medical Multimodal MCQ Evaluation

Zhang, Chenyu

• [EndoLINA] CPR-Critic: Target-Label-Free Per-Frame Selection of Monocular Depth Estimators for Endoscopy

Zhang, Chu

• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale

Zhang, Dong

• [MIRASOL] False-Positive Reduction in Automated Malaria Parasite Detection from African Blood Smears: A Falsification-to-Mitigation Study
• [MIRASOL] Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction
• [MIRASOL] Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging
• [MIRASOL] MORPHA: Morphology-Constrained Training and the Limits of Cross-Acquisition Transfer in Low-Resource Malaria Microscopy
• [AFRICAI] From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives

Zhang, Dongping

• [ODIN-challenges] Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Zhang, Fan

• [CMMCA] Free-breathing Time-resolved Cine MR Fingerprinting Using Self-supervised Motion Navigation for Liver Cancer Radiotherapy
• [CMMCA] Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Zhang, Fuyu

• [ODIN-challenges] Global-to-Local Tooth and Pulp Instance Segmentation in Dental CBCT

Zhang, Gangyi

• [CREATE] EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Zhang, Guilin

• [FoundUS] SonoAdapt: Foundation Model Adaptation for Supervised Multi-Task Ultrasound Biometry

Zhang, Guoming

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Zhang, Han

• [DT4H] Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan

Zhang, Hanxiao

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Zhang, Hanyi

• [MedAgent] MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Zhang, Haoran

• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Zhang, Haosen

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Zhang, Hongyuan

• [FoundUS] LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry
• [CREATE] CLMP: Contrastive Language-MRI Pretraining at Large Scale

Zhang, Hui

• [BraTS-Path] Pathology Foundation Models Under Class Starvation and Distribution Shift: NeuroForge at the BraTS 2026 Pathology Challenge

Zhang, Jianfeng

• [BraTS-Path] Pathology Foundation Models Under Class Starvation and Distribution Shift: NeuroForge at the BraTS 2026 Pathology Challenge

Zhang, Jiansong

• [MVAA] Task-Specific Multimodal Mitral Valve Segmentation for MVAA 2026
• [FoundUS] A Unified Foundation-Model Framework with Semi-Supervised Consistency and Heatmap Ensembling for Nine-Task Ultrasound Biometry Regression

Zhang, Jiayi

• [MVAA] Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

Zhang, Jiazhen

• [MLCN-2026] Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Zhang, JinXuan

• [ODIN-challenges] Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Zhang, Jing

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease
• [MLMI] Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis
• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Zhang, Jingjing

• [iMIMIC] Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Zhang, Jinwei

• [GRAIL] A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping

Zhang, Jiong

• [SWITCH] Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

Zhang, Juze

• [MLCN-2026] SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Zhang, Le

• [MLMI] Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging
• [BraTS-GoAT] Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty

Zhang, Lei

• [EMA] Outlier-Suppressed Transformer for Efficient 3D Medical Image Segmentation
• [ELAMI] PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Zhang, Liyang

• [MVAA] MVAA-Seg: A Multi-Stage Segmentation Framework for Mitral Valve Anatomy Analysis

Zhang, Lu

• [MLMI] SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease

Zhang, Miaomiao

• [ShapeMI] Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification
• [STACOM] Generative Brownian Bridge Diffusion In Motion Space For Enhanced Myocardial Strain Analysis

Zhang, Minghui

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [MedAGI] U-VLM: Hierarchical Vision Language Modeling for Report Generation
• [EndoLINA] Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

Zhang, Nan

• [CREATE] FRAME: Full-body Recovery via Adaptive Margin Extension for Occlusion-Robust 3D Human Pose and Shape Estimation

Zhang, Qinghe

• [CARE] MaskSAM-PBPR: A Prior-Guided Bidirectional Propagation Refiner for Multi-Sequence CMR Myocardial Pathology Segmentation
• [CARE] Fibrosis-Aware Spatial-Temporal Representation Learning for Liver Fibrosis Staging from Real-World MRI

Zhang, Ranran

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Zhang, Rendong

• [ADSMI2024] Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Zhang, Rong

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease

Zhang, Rongliang

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Zhang, Rui

• [ODIN-challenges] Geometry-Guided Identity Correction for Semi-Supervised CBCT Tooth and Root-Canal Segmentation
• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Zhang, Ruipeng

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis
• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Zhang, Shaoting

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

Zhang, Shijie

• [CREATE] CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition

Zhang, Shiran

• [DT4H] PanOCT: A Unified OCT-based Whole-Eye Reconstruction Framework for Ocular Digital Twin Construction

Zhang, Shu

• [COMPAYL] ProtoDiffSurv: Differential Prototype Learning for Weakly Supervised Survival Analysis

Zhang, Shulin

• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Zhang, Shuo

• [CREATE] Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting
• [CREATE] FRAME: Full-body Recovery via Adaptive Margin Extension for Occlusion-Robust 3D Human Pose and Shape Estimation

Zhang, Teng

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Zhang, Tianyang

• [iMIMIC] Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment
• [iMIMIC] Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Zhang, Tianyi

• [UNSURE2026] Well-Calibrated but Unusable: Calibration Error Does Not Certify Zero-Shot Chest X-Ray VLMs

Zhang, Tianyu

• [HECKTOR] Automated Head and Neck Cancer Characterization from PET/CT: A Framework for Segmentation, TN Staging, and Recurrence-Free Survival Prediction

Zhang, Wei

• [DeCaF] Gerchberg-Saxton Spectral Preprocessing as Empirical Leakage Mitigation in Simulated Federated Medical Imaging

Zhang, Weitong

• [MedAgent] Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
• [MedAgent] Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts
• [ADSMI2024] Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Zhang, Wenfeng

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Zhang, Wenxuan

• [TIA] 3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

Zhang, Xiao

• [CARE] Structure-Reliability-Guided ROI and Donor Fusion for Multi-Center MR Whole-Heart Segmentation
• [CARE] AGSW-LAMS: Adaptive Gaussian Soft Windowing for Left Atrial Multi-Structure Segmentation

Zhang, Xiaoming

• [SWITCH] Projection-Based Quality Assessment of Cerebrovascular Segmentations

Zhang, Xiaoning

• [CARE] MaskSAM-PBPR: A Prior-Guided Bidirectional Propagation Refiner for Multi-Sequence CMR Myocardial Pathology Segmentation

Zhang, Xiaoran

• [MLMI] Improving Medical Image Generative Models with Fréchet Distance Loss

Zhang, Xiaoshen

• [FoundUS] Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026

Zhang, Xiaotong

• [EchoRisk] A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction

Zhang, Xiaoxia

• [MVAA] Modality-Aware Segmentation of Mitral Valve Anatomy in CT, 3D TEE, and Surgical Video

Zhang, Xiaoxian

• [EchoRisk] MultiPhys-EF: Decorrelated Multi-Signal Fusion for LVEF Estimation in Cardiotoxicity Surveillance

Zhang, Xin

• [MedAgent] Agentic Visual Evidence Construction and Review Architecture for Medical VQA
• [MedAgent] HarmoAgent: An Autonomous LLM Agentic Framework for Adaptive and Traceable Multi-Site MRI Harmonization

Zhang, Xinglin

• [MedAGI] TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy
• [MedAGI] U-VLM: Hierarchical Vision Language Modeling for Report Generation

Zhang, Xinyue

• [CaPTion] Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

Zhang, Xiuyuan

• [CMMCA] Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

Zhang, Xuanrong

• [PedAItrics] Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation

Zhang, Xueli

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Zhang, Xueyang

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Zhang, Yajing

• [UNSURE2026] From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

Zhang, Yanbo

• [MedAGI] Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

Zhang, Yi

• [MVAA] Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Zhang, Yixin

• [BraTS-PEDs] HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation
• [BraTS-Inpainting] Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI
• [BraTS-GoAT] MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

Zhang, Yixuan

• [FoundUS] UniUSB: Domain-Aware Adaptation of Vision Foundation Models for Unified Multi-Domain Ultrasound Biometry

Zhang, Yu

• [FoundUS] Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026
• [ASMUS] EchoFAM: Frequency Prior-Driven Adaptation of SAM2 for Echocardiography Video Segmentation

Zhang, Yuhan

• [ASMUS] ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

Zhang, Yuling

• [BraTS-PEDs] Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Zhang, Yundi

• [STACOM] No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

Zhang, Yusongjia

• [DT4H] Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging

Zhang, Zheng

• [SASHIMI] DRIFT: Dual-Distillation Reference-Free One-Step Image Flow for Brain MRI Through-Plane Super-Resolution

Zhang, Zhengguo

• [MLMI] Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning

Zhang, Zhenkai

• [DGM4MICCAI] From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors

Zhang, Zhenxi

• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Zhang, Zhihan

• [MVAA] Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression
• [CMRSeg] Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Zhang, Zhiqing

• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Zhang, Zhiyuan

• [LISA] Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis

Zhang, Zihe

• [COMPAYL] Multi-scale Fusion of Fast Vision Mamba and Foundation Model Features for Patch-Level Gleason Grading in Computational Pathology

Zhang, Ziyue

• [MI4MedFM] Counterfactual Activation Patching of Pleural-Effusion Boundary Failures in MedSAM

Zhanje, Thandiwe

• [MIRASOL] Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings

Zhao, Boyang

• [DT4H] Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan

Zhao, Chenlan

• [EMA] Active few-shot segmentation by reinforcing data selection

Zhao, Debbie

• [STACOM] 3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning

Zhao, Gezheng

• [DT4H] An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

Zhao, Jia

• [MWM] Multimodal Data Integration via Digital Twins: Analysis of Aneurysm Rupture Risk Factors

Zhao, Jianan

• [BraTS-GoAT] Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Zhao, Jianxiang

• [ODIN-challenges] DentSAFER: Action-Aware Field Retrieval for Structured Dental CBCT Reporting

Zhao, Jichao

• [STACOM] FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI

Zhao, Junhan

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Zhao, Ku

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

Zhao, Lili

• [TIA] Interpretable Region-wise Gated CT–Ventilation Fusion for FEV1 Prediction in COPD

Zhao, Lin

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Zhao, Lingyi

• [BraTS-Path] Foundation-Model Ensembling with Vision–Language-Informed Representations for Glioblastoma Subregion Classification

Zhao, Mayang

• [CMMCA] Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Zhao, Miao

• [DT4H] Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

Zhao, Mingrui

• [BraTS-METS] Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Zhao, Moxin

• [EndoLINA] EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

Zhao, Nan

• [MLMI] SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease

Zhao, Qingyu

• [LISA] A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging

Zhao, Shilin

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Zhao, Shilun

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis

Zhao, Tianli

• [MVAA] BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Zhao, Weizhi

• [MRIxFields2026] FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling

Zhao, Xia

• [DeCaF] Class Prototype Alignment Concentrates Chest X-ray Representations in Federated and Pooled Training

Zhao, Xiang

• [DGM4MICCAI] Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

Zhao, Xiangyu

• [CMMCA] D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Zhao, Xihai

• [LISA] Quality Assessment, Enhancement, and Subcortical Segmentation of Ultra-Low-Field Pediatric Brain MRI: The LISA 2026 Challenge

Zhao, Xinyu

• [OMIA] Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Zhao, Yitian

• [OMIA] A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

Zhao, Yu

• [FoundUS] Task-Conditioned Parameter-Efficient Adaptation for Robust Ultrasound Landmark Localization and Biometric Measurement

Zhao, Yue

• [MVAA] Task-Specific Segmentation Pipelines for the MVAA Challenge

Zhao, Yuming

• [CARE] Myocardial Scar and Edema Segmentation with Partial Labels and LGE-Guided Rescue

Zhao, Zhongwei

• [OMIA] Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Zhao, Ziqing

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Zheng, Dashun

• [CMRSeg] View-Specialized Hybrid Segmentation for Multi-View Cardiac MRI: Combining nnU-Net, CineMA, and Scar-Elastic Refinement

Zheng, Jian

• [MLCN-2026] MEROS: Multi-view Expert Routing in Ordinal Space for MDD Spectrum Assessment

Zheng, Junhua

• [ELAMI] LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment

Zheng, Qiankun

• [MLCN-2026] A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models
• [BrainWorks] BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Zheng, Wenhua

• [MRIxFields2026] Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis
• [CMRxRecon2026] Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

Zhong, Jun

• [MWM] Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Zhong, Lanfeng

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

Zhong, Qifeng

• [BraTS-Path] Patch-Level Glioblastoma Subregion Classification with Foundation Model and Hierarchical Balanced Sampling

Zhong, Qikai

• [CMRSeg] Geometry-Aware View Routing with Hybrid 2.5D–3D Context for Multi-View Cine CMR Segmentation

Zhong, Qirui

• [REG2026] Structured Context Rendering for Consistent Pathology Workflows and Reports from Whole-Slide Images
• [MWM] SurgGenesis: A Generative Surgical World Model for Future-Aware Surgical Understanding

Zhong, Victor W.

• [MLCN-2026] MEROS: Multi-view Expert Routing in Ordinal Space for MDD Spectrum Assessment

Zhong, Xinyue

• [STACOM] FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI
• [Deep-Brea3th] Quality-Aware Multi-class Breast MRI Segmentation Workflow

Zhong, Zihao

• [OMIA] Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Zhou, Chuan

• [CaPTion] TRAIL: Trajectory-Aware Reward Attribution and Inference for Longitudinal Multiple Myeloma Treatment Trajectories

Zhou, Guanglong

• [PIPPI] The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Zhou, Hong-Yu

• [AMAI] ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

Zhou, Huayuan

• [CMMCA] TriSCoV-Net: Cross-Scale Verified Virtual Immunomarker Proxy Generation from Diffusion Magnetic Resonance Imaging

Zhou, Jinghan

• [EchoRisk] Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment

Zhou, Luping

• [ASMUS] Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Zhou, Meng

• [MLMI] Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Zhou, Rushuang

• [MLMI] Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Zhou, Siyu

• [UNSURE2026] Subgroup-Dependent Report-Label Noise Distorts Fairness Audits of Chest X-ray Classifiers: A Prediction-Powered Correction

Zhou, Tao

• [OMIA] OphthaAgent: Learning Cognitive Prudence for Reliable Fundus Diagnosis via Tool-Augmented Reinforcement Learning

Zhou, Weilin

• [MLMI] LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis

Zhou, Xianhao

• [SASHIMI] RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

Zhou, Xin

• [DT4H] Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins
• [DT4H] PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins
• [DT4H] Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Zhou, Xiongren

• [CARE] ROI-Guided Dual-Channel Data Construction and Ensemble Learning for Left Atrium Segmentation in the CARE 2026 Challenge

Zhou, Yanfeng

• [MLMI] Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction

Zhou, Yang

• [SASHIMI] LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Zhou, Yi

• [OMIA] OphthaAgent: Learning Cognitive Prudence for Reliable Fundus Diagnosis via Tool-Augmented Reinforcement Learning

Zhou, Yihao

• [CMRSeg] A Multi-scale DINOv3-based Pipeline for Multi-view Cardiac MRI Segmentation

Zhou, Yongle

• [CMRSeg] CardioState: Task-Aligned 2.5D MedNeXt for Multi-Sequence Cardiac MRI Segmentation and Quantification

Zhou, Yumou

• [BrainWorks] Reliability-aware Multimodal Fusion for Brain Tumor Segmentation

Zhou, Yunfei

• [ODIN-challenges] MMLVM: Geometry-Aware Multimodal Language Modeling for Orthodontic Report Generation

Zhou, Zechen

• [SASHIMI] DRIFT: Dual-Distillation Reference-Free One-Step Image Flow for Brain MRI Through-Plane Super-Resolution

Zhou, Zeqi

• [REG2026] Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

Zhou, Ziqi

• [DT4H] Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure

Zhou, Zongwei

• [MLMI] Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Zhu, Biyue

• [PedAItrics] Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Zhu, Cheng Cheng

• [MRIxFields2026] N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation
• [MRIxFields2026] DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation

Zhu, Dajiang

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease
• [MLMI] Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
• [MLCN-2026] Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Zhu, David C.

• [MLMI] SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease

Zhu, Hongbo

• [FoundUS] SonoAdapt: Foundation Model Adaptation for Supervised Multi-Task Ultrasound Biometry

Zhu, Hongjie

• [CMMCA] TriSCoV-Net: Cross-Scale Verified Virtual Immunomarker Proxy Generation from Diffusion Magnetic Resonance Imaging

Zhu, Hongtu

• [MedAgent] A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging
• [EMA] Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
• [CLIP] AI-Based Maxillofacial Workflows Automated in 3D Slicer: Cross-Modal Registration, VFACE Facial Analysis, and Predictive Surgical Planning
• [CARE] MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR
• [CARE] Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Zhu, Jiawei

• [MVAA] ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Zhu, Junchao

• [MISO] From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
• [MISO] DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Zhu, Kevin

• [AMAI] Predicting Clinically Actionable LUAD Mutations from Whole-Slide Histopathology Using Prov-GigaPath Foundation Model Embeddings

Zhu, Lei

• [EndoLINA] More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery

Zhu, Leyan

• [LISA] A Unified Masked Autoencoder Framework for Quality Assessment, Image Restoration, and Multi-Structure Segmentation in Low-Field Pediatric Brain MRI

Zhu, Lianghui

• [COMPAYL] PathPool: Decoupled and Pooled Feature Serving for Pathology Foundation Models

Zhu, Liying

• [BraTS-PEDs] HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation

Zhu, Mengying

• [MLMI] Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Zhu, Pengli

• [SASHIMI] nnDiffusion: A Standardized 3D Diffusion Framework for Medical Image Synthesis
• [MRIxFields2026] Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining

Zhu, Pengyu

• [CMRxRecon2026] Curriculum Learning and ROI-Aware Supervision for Highly Accelerated 4D Flow MRI Reconstruction

Zhu, Renjun

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Zhu, Roger

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Zhu, Rongxin

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Zhu, Simeng

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Zhu, Xiaorong

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Zhu, Xiaoyi

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Zhu, Xin

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Zhu, Xun

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Zhu, Yanfan

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Zhu, Yanrui

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Zhu, Yi

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Zhu, Yiming

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Zhu, Yongkang

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Zhu, Zhiyuan

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Zhuang, Xiahai

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Zhuang, Yitao

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Ziauddin, Sheikh

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Ziaullah, Khan

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Ziegelmayer, Sebastian

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Zieger, Daniel

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Zierer, Andreas

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Zimmer, Lucas

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Zimmermann, Lukas

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Zingaretti, Primo

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Zinger, Sveta

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Zirn, Christopher

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Zischka, Hans

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Zisserman, Andrew

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Zizaan, Asma

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Zlobec, Inti

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Zoboli, Alessio

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Zong, Fangrong

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Zordan, Margherita

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Zou, Chuanqi

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Zou, Mingye

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Zou, Sarah J.

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Zsamboki, Richard

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Zu, Xuan

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Zubair, Abdulrazaq A.

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Zuiverloon, Tahlita C. M.

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Zuluaga, Maria A.

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Zuo, Lianrui

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Zurakat-Aderibigbe, Sekinat

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Zurnajyan, Lilit

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Zwaigenbaum, Lonnie

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Zöllei, Lilla

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ben Ghozlen, Ghazi

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da Costa Cunha, Moisés

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da Silva, Tomás M.

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da silva, Mateus O.

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de Borst, Gert J.

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de Bruijne, Marleen

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de Carvalho, Renata M.

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de Crevoisier, Renaud

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de Francesco, Michael

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de Groof, Albert J.

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de Haan, Timo R.

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de Jong, Annemarie

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de Jong, Hugo W. A. M.

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de Jonge, Sterre

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de Lange, Marijn

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de Margerie-Mellon, Constance

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de Oliveira, Monique M. C. Daemon

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de Oliveira, Pedro José

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de Vathaire, Florent

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de Vette, Suzanne P. M.

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de Wilde, Bram

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de With, Peter H. N.

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de la Rosa, Ezequiel

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de la Sotta K., Tomás

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de-Torres, Juan Pablo

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del Vecchio, Antonella

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d’Albenzio, Gabriella

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d’Angremont, Emile

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te Nijenhuis, Frank

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van Aalst, Joëlle E.

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van Altena, Benjamin

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van Dijk, Lisanne V.

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van Dijk, Thomas

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van Dongen, Boudewijn F.

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van Eijck van Heslinga, Rixta A. H.

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van Haaften, Myrthe F.

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van Hal, Vera H.J.

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van Heeswijk, Roos A.M.

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van Heeswijk, Ruud B.

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van Herwijnen, Anna F.

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van Leeuwen, Juancito

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van Ooijen, Peter M. A.

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van Rijn, Tymo

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van Sloun, Ruud J. G.

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van Walsum, Theo

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van Zwam, Wim

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van de Schaft, Vincent

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van den Heuvel-Eibrink, Marry M.

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van der Aa, Niek E.

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van der Haas, Yvette J.

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van der Hoek, Luuk

• [MIART] PR3DICTR: a 3D Image-Based Deep Learning Prediction Modelling Framework and its Use in Radiotherapy
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van der Kouwe, Andre

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van der Sommen, Fons

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van der Ster, Björn

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van der Wal, Robert

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van der Werf, Ysbrand D.

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von Eisenhart-Rothe, Rüdiger

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von Loga, Katharina

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von Mühlenen, Nair N.

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von Scheidt, Moritz

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Álvarez-Mira, Luis

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Ávila, Albert A.

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Çevik, Ece

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Öksüz, İlkay

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Özbulak, Gökhan

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Özer, Caner

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Østvik, Andreas

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Şanal, Yaren Nas

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Špiclin, Žiga

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Šubic, Nejc

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