List of Papers by Satellite Events

ADSMI2024

Physics-informed Unsupervised Test-time Adaptation for MRI Super-Resolution

Variational multimodal distillation for diagnosing plaque vulnerability in carotid 3D MRI

MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages

LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion

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

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation

Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods

Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation

Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations

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

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation

Enhancing the automatic segmentation and analysis of 3D liver vasculature models

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning

DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis

AFRICAI

NaijaCXR-VLM: A Multi-task Vision-Language Model for Chest X-ray Analysis in Low-resource Settings

CT X-ray Tube RUL Estimation Under Data Scarcity in Low-Resource Hospitals

Do Medical Foundation Models Generalize on the African Brain?

Towards Privacy-Preserving Multi-Site ICH Detection for South African Telestroke Networks

Afro-FetalNet: Fetal Plane Classification for Low-Resource African Settings

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

From Disorder to Volume: Transformer-Based 3D MRI Reconstruction from Unstructured JPEG Archives

ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

Harmful or Helpful? When Precision-Recall Balance Governs Safe QGFL Transfer in Malaria Detection

Infrastructure Readiness Assessment for Federated Learning in Medical Imaging across African Sites

Improving Feature Representations for Few-shot Classification of Neglected Tropical Diseases on Dark Skin Tones

Resource-Efficient Knowledge Distillation via Simulated Annealing for Lightweight Breast Cancer Detection

MoonScan: An AI-Based Clinical Decision-Support System for Chest X-Ray Analysis in a Low-Resource African Setting

Domain Shift in Prostate MRI AI: Proxy Validation on a Low-Resource 1.5T Clinical Cohort

LRX-Bench: Robustness Evaluation of an RLVR-Trained Medical Vision–Language Model under Deployment-Motivated Chest X-ray Degradations

A Modality-Invariant and Fair Representation Framework for Skin Disease Classification

Beyond External Validation: Evaluating the Deployment Readiness of Medical Imaging AI in an African Clinical Context through Diabetic Retinopathy Screening

Preprocessing as Prior: Rethinking Self-Supervised Representation Learning in Cardiac Sound Classification

Federated Learning under Combined Clinical Heterogeneity: Evaluation Protocol and Inter-Site Equity

Accurate but Not Equally Trustworthy: Benchmarking Foundation Models for Fetal Ultrasound in Africa

Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

PREPARED OR UNPREPARED? EVALUATING HEALTHCARE WORKFORCE READINESS FOR CLINICAL ADOPTION OF ARTIFICIAL INTELLIGENCE IN NIGERIA

Benchmarking Foundation Models for Cervical Cancer CT Reporting in Zambia

Self-supervised Learning Versus Segmentation-aware Augmentation for Acute Ischemic Stroke CT Segmentation Under Annotation Scarcity

Annotation-Efficient Conditional Diffusion for Subacute Stroke Segmentation in West African Non-Contrast CT: A Calibration-First Evaluation

AIIG2024

Counterfactual analysis of genotype variant effects on imaging-derived phenotypes

Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

AIMS-TBI

Shared nnU-Net Probability Maps for msTBI Lesion Detection and Segmentation

Diagnosing the Recall Tail: A Class-Imbalance Study of nnU-Net for Detection and Segmentation of Heterogeneous Moderate–Severe TBI Lesions

ATVNet: Adaptive Transformer-Enhanced V-Net for Automated msTBI Lesion Segmentation

Rebalancing Lesion Exposure: Instance-Aware Sampling for msTBI Lesion Segmentation

Task-Specific MedNeXt and Heterogeneous Ensembling for Traumatic Brain Injury Lesion Analysis on T1-Weighted MRI

Dual-Model nnU-Net Strategy for TBI Segmentation and Detection in T1-weighted MRI

Hybrid Ensemble with Multi-Patch Fine-Tuning for Traumatic Brain Injury Segmentation

nnU-Net and Domain Randomization for Automated Segmentation of Moderate-to-Severe Traumatic Brain Injury

Evaluating Large-Scale Pretraining and Auxiliary Training Data for T1-only TBI Lesion Detection and Segmentation in the AIMS-TBI 2026 Challenge

A U-Net for Automated msTBI Lesion Segmentation

Single-Model Lesion Detection and Segmentation for Moderate–Severe Traumatic Brain Injury on T1-weighted MRI

Task-Specific T1 MRI Pipelines for TBI: Knowledge-Distilled Segmentation and ICV-Cascaded Detection

AMAI

Segmentation-Guided Multiple Instance Learning for Cardiac MRI Disease Classification

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

Assessing the clinical readiness of SAM2 for CT-based tibial implant displacement quantification

Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation

ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray

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

SonoAudit: A Framework for Auditing Caliper Placement in Fetal Ultrasound Biometry

Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

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

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

Modeling Abnormality as Semantic Deviation for Few-Shot Medical Anomaly Detection

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

Mesenteric Arterial Vessel Segmentation in Abdominal CT with Small Bowel Obstruction

BARW-GP: Workload-Aware Threshold Selection for Multi-Label Medical AI Alerting Across Chest X-ray and ECG

Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

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

EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Learning Diagnostic Reasoning for Decision Support in Toxicology

Adaptive Riemannian Geometry for Seizure Onset Zone Localization in Intracranial Electroencephalography

Dual-Encoder Transfer Learning for Surgical Image Segmentation

Stratified Iterative Learning for Kidney Cortex and Medulla Segmentation Across Healthy and Pathological Kidneys on Contrast-Enhanced CT

Explainable and Uncertainty-Aware Chest X-ray Classification with Selective Referral

Continual Learning with subspace adaptation in foundation models for drug safety studies

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

Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels

Prediction of Atrial Fibrillation Onset from Continuous Intensive Care Unit ECG Monitoring: A Deep Learning Approach

Association of Cardiovascular Risk Factors with Segmentation-Free Motion-Derived Coronary Artery Dynamics

A Benchmark Audit of Site Confounds, Calibration, and Self-Supervision in Cross-Dataset Parkinson’s EEG Detection

Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention

AMPLIFAI

Ordinal-aware Multi-Phase Classification with Manifold Mixup for LI-RADS Assessment in CT

Read to Decide: Interpretable Feature-Guided LI-RADS Categorization from Multiphase CT

Metric-Aligned Cross-Phase Attention for LI-RADS Categorization of Liver Lesions on Multi-Phase CT

Shortcut-Aware Validation for LI-RADS Categorisation on Multi-Phase CT

Multi-Source Feature Fusion for LI-RADS Classification in Multi-Phase CT

PHORA: Physiology-Guided Hierarchical Ordinal Radiomics for LI-RADS Classification in Multiphase CT

Clinically-grounded Multiphasic Modeling for Interpretable LI-RADS Categorization

Dual-Scale Phase-Aware 3D ViT with Bounded Tubular Rescue for LI-RADS Classification

ASMUS

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

EchoFAM: Frequency Prior-Driven Adaptation of SAM2 for Echocardiography Video Segmentation

Controllable Synthesis of Pathological Fetal Brain Ultrasound via Registration-Guided, Radiomics-Driven Latent Diffusion

UltraPIPS: Improving model perception in B-mode ultrasound with foundation models

Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

Speckle-Aware Signal Extraction as an Alternative to Complex Methods for ECG-Free Cardiac Phase Detection

Recurrent Contrastive Learning for Imbalanced Medical Image Classification

ProME-Net: Prototype-Guided Artifact-Robust Breast Ultrasound Video Detection

From Oracle Boxes to Automatic Prompts: Benchmarking Frontier Foundation Models for Thyroid Ultrasound Segmentation

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

USPose: Improving 3D Fetal Brain Plane Localization for Volumetric Reconstruction from 2D Ultrasound with SO(3)-Equivariance

BUThink: Aligning Multiparametric Breast Ultrasound with Clinical Expert Logic via Rule-Constrained GRPO

Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits

Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

An Eye Tracking Study on the Ultrasound Inspection Strategies of Expert and Novice Sonographers

Beyond Per-Frame Accuracy: Temporally Consistent Carotid Strain Tracks Cardiovascular Risk

UltraBend: Refraction-Aware Propagation Modeling for Speed of Sound Imaging in Ultrasound

Assessing Spatio-temporal Foundation Models for Clinical Mitral Regurgitation Grading

TargetIQA: Anatomy-Aware Ultrasound Image Quality Assessment

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

Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations

CATCH: Cross-View Attention for Consistent Multi-Chamber Heart Segmentation

ALRAU: Atlas Learning from Routine Antenatal Ultrasound

Medical Image Registration Metrics Examined for TRUS-Guided Prostate Interventions

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

Automated Micro-Ultrasound Prostate Volume for MRI-Free PSA-Density: Reproducibility and Agreement with MRI

Beyond Single Diagnostic Accuracy: Three-Level Hierarchical Evaluation of Accuracy and Reliability in Multimodal LLM for Ultrasound Interpretation

BraTS-GoAT

Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

SlimInterPAS for Brain Tumor Segmentation

An Engineering-optimized, Resource-Constrained nnU-Net v2 Pediatric Baseline for the BraTS-GoAT 2026 Generalizability-Across-Tumors Challenge

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

MCS-UNet: A Multimodal Collaborative Framework for Robust Multi-center MRI Brain Tumor Segmentation

RACER: A Radiomic-Adaptive Cohort Ensemble with Refinement for Cross-cohort Brain Tumor Segmentation using Deep Learning

Pseudo-Label Enhanced SpikeFormer-UNet for Generalizable Brain Tumor Segmentation

Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

Self-Supervised Pretraining for Generalizable Brain Tumor Segmentation in the BraTS-GoAT Challenge

Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

Generalizable Brain Tumor Sub-Region Segmentation Across Tumor Entities via Recall-Oriented Pseudo-Labeling and Modality-Dropout Dual-View Ensembling

A Systematic Evaluation of Learning Strategies for Generalizable Brain Tumor Segmentation Across Heterogeneous Tumor Populations

Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty

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

Generalisation Across Tumor Entities with a From-Scratch Residual-Encoder U-Net: A Baseline and an Analysis of Training–Validation Distribution Shift

AIstatLab at BraTS-GoAT 2026 Task 3: Quality-Controlled Consensus Pseudo-Labeling and Dense Expert Adaptation

Regions7525_DA5: Harnessing Adaptations of Existing nnU-Net Features to Improve Generalizability of Brain Tumor Segmentation

GAT-26: Release-Path Auditing and Confirmation-Gated Inference Selection for Cross-Tumor Brain Tumor Segmentation

BraTS-Inpainting

Enhanced 3D U-Net for BraTS Local Synthesis: Attention, Deep Supervision, and Edge-Aware Inpainting

Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors

Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI

Dynamic Shape-Aware Mask-Augmented Conditional 3D Pix2Pix for Healthy Tissue Inpainting in Brain MRI

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

Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

An SSIM-Prioritized 3D Attention U-Net for Synthetic Brain Inpainting

Mask-Guided 3D U-Net with Component-Wise Tiled Inference for Healthy Brain Tissue Inpainting

Geometry-Aware Conditional 3D Wavelet Diffusion for Pseudo-Healthy Brain MRI Inpainting

RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Glioma Inpainting in Brain MRI via 3D Region Aware Diffusion

Sharpening the Ensemble: An SSIM-Aligned Residual Refiner for Brain-MRI Inpainting Post-Processing

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

CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

Retrieval-Augmented Wavelet Diffusion for Local Synthesis of Healthy Brain Tissue

RESIN: Residual Synthesis for Healthy-Tissue Inpainting in Brain MRI

BraTS-METS

Clinically Informed, Dataset-Adaptive Lightweight Segmentation of Brain Metastases within the nnU-Net Framework

A Multi-Network Ensemble Strategy for the BraTS 2026 Brain Metastasis Segmentation Challenge

Lesion-Aware Hybrid State-Space and Residual-Encoder Fusion for Brain Metastasis Segmentation

Integrating nnDetection and nnU-Net for Brain Metastasis Segmentation in the BraTS-METS 2026 Challenge

Rare-Region Optimization and Ensemble Composition for Pre- and Post-Treatment Brain Metastases Segmentation

Runtime-Aware Ensemble Optimization for Brain Metastasis Segmentation under Strict Deployment Constraints

Region-Aware Residual Encoder nnU-Net for Multi-Region Brain Metastasis Segmentation

Pre- and Post-Treatment Brain Metastases Segmentation Using nnU-Net with Post-Processing for BraTS 2026

Beyond Aggregate Dice: Size-Stratified Failure Analysis of an nnU-Net Baseline for Brain Metastasis Segmentation

Gated Frequency-Enhanced Class-Wise Ensemble for Brain Metastases Segmentation

Brain Metastasis Segmentation Using an Ensemble of U-Mamba Models

A Region-Based Residual-Encoder nnU-Net Ensemble with a Matched-Normalization Subtraction Channel and Resection-Cavity False-Positive Suppression for Brain Metastasis Segmentation

A Transformer Pipeline with Uncertainty-Guided Curation and Failure Recovery for Brain Metastases Segmentation

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

Region-Wise Logit Fusion and Utility-Gated Refinement for Brain Metastasis Segmentation

Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

Resection-Cavity-Aware Segmentation of Brain Metastases for BraTS 2026

Segmentation of Pre- and Post-treatment Brain Metastases Using an Ensemble of MRI Foundation Models

CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation

Detege et Delinea: A Two-Stage Framework for Brain Metastasis Detection and Segmentation in Multimodal MRI

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

A Residual-Encoder nnU-Net Baseline for Pre- and Post-Treatment Brain Metastasis Segmentation

Seeing Lesions, Not Voxels: A Connected-Component-Weighted Dual-Map Focal Loss and Per-Group Oversampling for Brain Metastases Segmentation and Detection

Brain Metastases Segmentation for BraTS 2026 Task 1: A Multi-Architecture Comparison

Missing Modality Imputation and Brain Metastasis Segmentation via Latent-Space Ensemble Synthesis and Size-Aware Focal Loss

Precision Over Recall: Brain Metastasis Segmentation with a Learned False-Positive Rejector

ACORN: Asymmetric Conditional Overlapping RAVSS Network for Segmenting Small Brain Metastases

Epistemic Uncertainty-Guided Supervision Weighting for Brain Metastasis Sub-region Segmentation

METS-PRO R2: Lesion-Aware Positive Residual Refinement for Brain Metastasis Segmentation

Segmentation of Pre- and Post-treatment Brain Metastases Using Ensemble Model

Inference-Time Decoding for Brain Metastasis Segmentation

A Detection-Aware SegResNetDS Ensemble and a Measured Null Space for Brain Metastasis Segmentation in BraTS 2026

BraTS-PEDs

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

Anatomy-Preserving Rare-Subtype Adaptation for Pediatric Brain Tumor Segmentation

Two-Track Ensembling for Pediatric Brain Tumor Segmentation: Class-Specific Fusion and Voxel-Wise Intersection for Rare Subregions

YOLO-UNet: A Hybrid YOLO-Encoder / U-Net-Decoder Network with a Full-Resolution Residual Boundary Branch for Pediatric Brain Tumor Segmentation

LoG-Augmented nnU-Net Ensemble for Pediatric Brain Tumor Segmentation

NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI

Stable Boundary Anchoring and Per-Class Champion Source Composition for Pediatric Brain Tumor Segmentation in BraTS-PEDs

AFS-Net: Adaptive Fusion Skip Network for Pediatric Brain Tumor Segmentation

HREF: Hierarchical Region-Expert Fusion Framework for Accurate Pediatric Brain Tumor Segmentation

Adapting PTransBTS for Pediatric Brain Tumor Segmentation in BraTS-PEDs 2026

Hierarchical nnU-Net Logits for Pediatric Brain Tumor Subregion Segmentation

Sub-Region-Specific Deep Learning Model for Pediatric Brain Tumor Segmentation on Multi-Parametric MRI

Mechanism-Aware Post-Processing Under a Submission Budget: FLAIR-Viaevum at the BraTS 2026 METS, PEDs and GoAT Challenges

Pediatric Brain Tumor Segmentation with MedSwinNet

Brain Extraction, Residual-Encoder Ensembling and Metric-Aware Component Filtering for Pediatric Brain Tumor Segmentation

Reliability-Weighted Supervision with Class Frequency Correction for Pediatric Brain Tumor Segmentation

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

BraTS-Path

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

Neuropathology in the embedding space of glioblastoma heterogeneity: identifying classification-relevant signals with machine learning

Dual-LoRA Adaptation of Pathology Foundation Models for Glioblastoma Histologic Pattern Classification

Patch-Level Glioblastoma Subregion Classification with Foundation Model and Hierarchical Balanced Sampling

Beyond Frozen Features: Block Expansion of Pathology Foundation Models for Glioblastoma Sub-Region Classification

Ensemble of Pathology Foundation Models for Fine-Grained Histologic Classification of Glioma

Leakage-Free Patient-Grouped Evaluation of Frozen Pathology Foundation Models for Long-Tailed Glioma Sub-region Classification

Rare-Class Conditional Routing with Foundation Model Representations for Glioma Histologic Sub-region Classification

Pathology Foundation Models Under Class Starvation and Distribution Shift: NeuroForge at the BraTS 2026 Pathology Challenge

Foundation-Model Ensembling with Vision–Language-Informed Representations for Glioblastoma Subregion Classification

GLAD-Net: Adaptive Multi-Teacher Distillation of Vision Foundation Models for Fine-Grained Glioma Histopathology

BrainWorks

From Edge to Gradient: Quantifying the Infiltrative Margin in Paediatric Diffuse Glioma

Hierarchical Differential MedViT-3D: Specialized Hybrid Transformer for Multiclass Diagnosis of Neurodegenerative Diseases

Unsupervised Anomaly Detection in Pediatric Brains: Method Comparison Across Multiple Clinical Conditions

BrainMRI-CLIP: Enhancing Brain MRI Representation Learning via Joint Vision-Language-Diagnosis Alignment

Group ICA 2.0: Closing the Gap Between Subjects and Group Latent Decomposition

Reliability-aware Multimodal Fusion for Brain Tumor Segmentation

Direct Mask-Perturbation Auditing for Geometry-Derived Brain Lesion Biomarkers

Pre-Operative to Intra-Operative: A Brain Tumor Segmentation Generalization Study

Reconstruct and Distill: A Hybrid Masked-Autoencoder and Self-Distillation Foundation Model for Clinical Brain MRI

CASA-Net: Confidence-Aware Spatial Attention Network for Efficient Detection-Guided Brain Tumor Segmentation

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

RBT-Faz: Register-Bottleneck 3D Swin-UNETR with Clinical Text Alignment for Ordinal Fazekas Grading from FLAIR MRI

UPStaiN: Unsupervised Population-Based Morphology-Aware Stain Normalization

Self-supervised Learning for 3D Light-Sheet Microscopy Image Segmentation based on DINO-v2 and nnU-Net

DeepNucleiNet: Encoding Spatial Nuclear Patterns for Data-Efficient Necrosis Detection in Computational Neuropathology

Scaling Native 3D Self-Supervised DINOv2 for Brain MRI Foundation Models

CAPI-WOMEN

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Comparing Problem Formulations for Endometriosis Lesion Detection on T2-weighted Pelvic MRI

Interactive Foundation Models for 3D MR Uterus Segmentation: Performance and Limitations

Cross-Modal MRI Ovary Segmentation in Endometriosis Using Unpaired TVUS Prototype Priors

A Multi-Site Label Trap in Shape-Based Endometriosis Detection: What Female Pelvic-Organ Shape Does (and Does Not) Encode

Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints

Patient-Level Data Leakage in Colposcopy Classification: A Cautionary Study with Evidential Uncertainty Quantification for Cervical Cancer Screening

Pelvic MRI Patient Verification with Foundation-Model Embeddings

PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women’s Health

Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI

Evaluating the Prompt-to-Automation Gap: A Comprehensive Benchmark for Laparoscopic Endometriosis Segmentation

Pelvis-SigLIP: Benchmarking Vision-Language Models for Female Pelvic MRI Series Retrieval across Zero-Shot, Linear-Probe, and Fine-Tuning

CARE

A Transfer-Learned Segmentation-to-Staging Cascade for Robust Liver Fibrosis Staging on Real-World Multi-Vendor MRI

Myocardial Scar and Edema Segmentation with Partial Labels and LGE-Guided Rescue

Iterative Human-in-the-Loop Learning for Accurate Segmentation of Liver

Improving Cross-Site Whole-Heart Segmentation

Topology-Guided Lightweight 2.5D Liver Segmentation for Limited-Annotation Multi-Center Fibrosis MRI

Fibrosis-Aware Spatial-Temporal Representation Learning for Liver Fibrosis Staging from Real-World MRI

MaskSAM-PBPR: A Prior-Guided Bidirectional Propagation Refiner for Multi-Sequence CMR Myocardial Pathology Segmentation

ABMP-Net: Abnormality-Aware Bidirectional Motion-Physics Network for Cine CMR-Based Myocardial Scar Segmentation

AGSW-LAMS: Adaptive Gaussian Soft Windowing for Left Atrial Multi-Structure Segmentation

Beyond Cavity Constraints: A Systematic Evaluation of Spatial Priors in Cascaded Left Atrial Scar Segmentation

Wall-Band Anatomical Prior-Guided 3D nnU-Net for Left Atrial Scar Segmentation in LGE-MRI

DOVE: Domain-Robust Ordinal Evidence Learning with 2.5D Multiple Instance Learning for MRI-Based Liver Fibrosis Staging

Progressive Optimization of UU-Mamba for Left Atrial Multi-Structure Segmentation in CT

Structure-Reliability-Guided ROI and Donor Fusion for Multi-Center MR Whole-Heart Segmentation

CIRSeg: Coarse-to-Fine Intensity-Robust Liver Segmentation with Source-Free Continual Test-Time Adaptation

ROI-Guided Dual-Channel Data Construction and Ensemble Learning for Left Atrium Segmentation in the CARE 2026 Challenge

Dual-Task Multi-Sequence MRI Framework: 3D Segmentation and Ensembled Fibrosis Staging of the Liver

Pseudo-Label-Enhanced Liver Segmentation and Mask-Guided Patch Learning for Fibrosis Staging Classification

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

MoSAIC: Motion and Supervision-Aware Inference for Myocardial Scar and Edema Segmentation from Multi-Sequence and Cine CMR

SCALA: Semi-supervised Cascade for Left Atrial Scar, Cavity, and Multi-Structure CT Segmentation

Vendor-Robust Liver Segmentation and Fibrosis Staging from Multi-Phase MRI

Foundation Model Augmented Mixture-of-Experts with Diffusion Augmentation for Robust Cardiac Myocardial Pathology Segmentation

Left Atrial Scar Quantification from LGE-MRI: A Controlled Ablation and Detectability Study

Shared Multimodal Learning with Anatomical Pretraining for CT and MRI Whole-Heart Segmentation

Stable Morphology, Unstable Deep Classifiers: Morphology-Guided Ranking in Unlabeled Liver MRI Cohorts

LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation

Causality-inspired Polar Approach for Myocardial Pathology Segmentation in Multi-sequence CMR

Decoupling Supervision and Recoupling Context: Reliability-Aware Soft-Prior Learning for Myocardial Scar and Edema Segmentation

CLIP

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

SegClass-CD: Segmentation-Guided Region-Based Classification of Crohn’s Disease Imaging Findings from Multi-Contrast MRE

Exempt-KL: Preserving Diagnostic Ambiguity for Reliable Medical Out-of-Distribution Detection

Domain-Adaptive Parameter Decoupling for Heterogeneous Vision-Language Retrieval

Sample-Adaptive Cross-Modal Expert Fusion for Robust Breast mpMRI Classification

Intraoperative Fully Automatic Registration of Fluoroscopic Image Pair: Cadaveric Evaluation

Differentiable Manifold Optimization for Fast, Multi-Needle Ablation Planning

GLR-MM: Graph-Based Global–Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities

CLiMeM

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

Investigating Test-Time Adaptation of Convolutional Neural Networks for Medical Image Analysis under Distribution Shifts

Integrating Uncertainty and Latent Feature Diversity for Robust Memory Replay in Continual Medical Imaging Learning

How Resilient are Foundation Segmentation Models to Noisy Ultrasound Artifacts? A Multi-Dataset Benchmark Across Prompts, Noise Types, and Severity Levels

An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering

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

Multimodal Fusion for Domain-Incremental Continual Learning in 3D Medical Imaging

CMMCA

Zero-Shot Ultra-Quality 4D-MRI Motion Reconstruction Framework Based on Augmented Digital Phantom Pre-Training

Shared-Private Subspace Decomposition for Multi-Task Lung Cancer Classification in CT

D2TMIL: Disentangled Dual-Task Multiple Instance Learning for 1p/19q Status Prediction from Whole Slide Images

Bridging Slices to Volumes: Anatomy-Guided Slice-Consistent Latent Diffusion with Local Correlated Noise for MR-to-CT Synthesis

Nerve-Centric Heterogeneous Graph Learning for Tumor–Nerve Interaction Modeling in Survival Prediction

The Glioma Epigenome as a Potential Landscape: A Continuous G-CIMP Erosion Coordinate that the Methylation Class Discards

TriSCoV-Net: Cross-Scale Verified Virtual Immunomarker Proxy Generation from Diffusion Magnetic Resonance Imaging

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

OncoRelay3D: Foundation-Model-Assisted Reconstruction of 3D Tumor Cell-Expression Fields for Mechanism-Aware Directed Cell-Cell Communication

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

A Differentiable Brain Tumor Mass Effect Solver

CMRSeg

A Multi-scale DINOv3-based Pipeline for Multi-view Cardiac MRI Segmentation

NATA-Net: A Network with Adaptive Task-Aware Heads for Universal Cardiac MRI Segmentation

View-Specialized Hybrid Segmentation for Multi-View Cardiac MRI: Combining nnU-Net, CineMA, and Scar-Elastic Refinement

Acquisition-Structured nnU-Net Ensembles for Multi-Sequence Cardiac MRI Segmentation and Quantification

View-Specialized CMR-MULTI Segmentation with Metric-Gated Clinical Output Calibration

CardioMix: A Unified Framework for Multi-Sequence and Multi-View Cardiac MRI Segmentation

nnU-Net for Cardiac MRI Segmentation and Scar Quantification (Cine + LGE): CMR-Multi 2026

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

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

Multi-View CMR Segmentation with Clinical Quantification for Cine and LGE: Vista3D and DINOv2-DPT

CardioWorld-GQ: An Observation-Conditioned Cardiac Imaging World Model with a Differentiable Clinical Readout and Calibrated Endpoint Uncertainty

DINO-CMR: DINOv3-Driven View-Hybrid Segmentation with Decoupled Measurement for Multi-Sequence CMR

An Auditable Geometry Contract for Multi-View Cardiac Magnetic Resonance Imaging Analysis

Geometry-Aware View Routing with Hybrid 2.5D–3D Context for Multi-View Cine CMR Segmentation

Anatomy-Prior Guided Decoupled Expert Networks for Multi-View Cardiac MRI Segmentation and Biomarker Estimation

Native-Resolution Multi-Sequence Cardiac MRI Segmentation for Accurate LVEF and Scar Quantification

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

CMRxRecon2026

FlowMRI-Net++: A Unified Sampling-Aware 4D Flow MRI Reconstruction Network with Zero-Shot Adaptation

CUT-4DFlow for Accelerated 4D-Flow MRI Reconstruction

Curriculum Learning and ROI-Aware Supervision for Highly Accelerated 4D Flow MRI Reconstruction

Residual-Gated Data Consistency and Phase-Locked Magnitude Refinement for Accelerated 4D Flow MRI

Separating Aliasing from Flow: Temporal-Frequency Regularization for Unrolled 4D flow MRI Reconstruction

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

Stage-Aligned Knowledge Distillation for Fast and Memory-Efficient 4D Flow MRI Reconstruction

Keep the Encodings Apart: Per-Encoding Complex-Valued Variational Networks for Accelerated 4D Flow MRI

Subspace-Guided Upstream-Downstream Deep Learning Reconstruction for Fast 4D Flow MRI

Phase-Coupled State-Space Reconstruction for Ultra-Accelerated 4D Flow MRI

Spatiotemporal Context-Informed Unrolled Complex Reconstruction Networks for 4D Flow MRI

Complex-Valued and State-Augmented Variational Networks for Accelerated 4D Flow MRI Reconstruction

Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction

SDUM-Flow: Data Synthesis and Augmentation for Robust Unrolled 4D flow MRI Reconstruction

CLEAR: Complex Learned Explicit Analytical Regularization for Ultra-Accelerated 4D Flow CMR Reconstruction

Lifting 2D Diffusion Priors to 4D Flow MRI: DPS with Cross-Frame Prior Propagation and Cyclic Pass

VeloSubspace: Phase-Aware Training-Free Reconstruction for Highly Accelerated 4D Flow MRI

Joint Multi-Velocity FlowVN Reconstruction with Flow-Aware Supervision for Accelerated 4D Flow MRI

Prompt4D-MVE: A Lightweight Parameter-Shared Cascade with Magnitude–Velocity Experts for Highly Accelerated 4D Flow MRI

COMPAYL

How Much Information Is Enough? A Benchmark of Foundation Models for Thyroid Histopathology under Limited Patch Sampling

ProtoDiffSurv: Differential Prototype Learning for Weakly Supervised Survival Analysis

When Histopathology Images Degrade: A Robustness Benchmark for Pathology Foundation Models

Distance-Guided Vision Transformer based Foundation Model for Fluorescence Nuclei Instance Segmentation

FIRB: Fusion, Interaction and Robustness Benchmark for Multimodal Learning in Computational Pathology

Learning to Organ-ize: Low-resolution Tissue Segmentation for Preclinical Toxicological Pathology

Vision-Language Models as Zero-Annotation Oracles in Histopathology

Modeling Intra-spot Cellular Context for Histology-to-Spatial Transcriptomics Prediction

NegZoom: Negative-Constraint Coarse-to-Fine Retrieval in Whole Slide Images

Local Validation and Workflow Integration of Pathology Foundation Models for Colorectal WSI Classification

Linearized MIL Attention Reveals a Traversable Direction in the Virchow2 Embedding Space

CIPS-Net: Text-Instructed Conditional Nucleus Instance Segmentation Network in Histopathology

CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

RetroScope: An Open Framework for Motorizing and Digitizing Vintage Microscopes

Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

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

Bidirectional Translation Between ISH and H&E Glioblastoma Tissue Sections via Attention-Enhanced CycleGAN

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

Morphospatial Phenotyping of p21-Positive Hepatocytes in Chronic Liver Disease

Program-space Diffusion for Morphology-to-Transcriptomics Prediction

What Do Pathology Foundation Models Learn Beyond Gleason Grade in Prostate Cancer?

PathTrace: A Trace-Based Evidence Harness for Auditing Whole-Slide Pathology Agents

Investigation of Factors Contributing to Domain Generalization in Single-Shot Autofocus

Disentangled Shared Representations Improve Morpho-Transcriptomic Integration

Investigating Test-Time Training for Patch Classification in Pathology

CLEAR-WSI: Towards Foundation-Model-Empowered Diagnosis Aligned Whole Slide Image Retrieval

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

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

Beyond the capture area: Imputation of spatial gene expression from H&E

Multi-scale Fusion of Fast Vision Mamba and Foundation Model Features for Patch-Level Gleason Grading in Computational Pathology

Virtual immune cell prediction from H&E Whole Slide Images

Post-hoc Shrinkage of Acquisition-Induced Variability in Histopathology Vision Foundation Model Embeddings

Unified Multimodal Fusion for Cancer Survival Prediction: A Missing-Robust Framework across Histopathology, Radiology, Genomics, and Clinical Data

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

Dual-CellNucDETR: Context-Aware Object-Level Cell Analysis

HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology

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

QLabelMIL: Inter-Pathology Query Decoding for Multi-Label Gastric Histopathology

QUERY-ST: Language-Guided Retrieval Across Histology and Spatial Transcriptomics

Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Thumbnail-Based Tile Selection for Efficient Whole-Slide Image Classification in Resource-Limited Pathology

Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

DreaMS-Align: Zero-Shot Spectrum-Embedding Surrogates for Scalable WSI-MSI Co-registration

ReferralSeg: A Multi-Cancer Benchmark for Clinician-Style Language-Guided Segmentation in Histopathology

MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention

When RNA is Missing: A Multimodal Fusion Benchmark for BCG Progression Prediction in HR-NMIBC

AI-Based Ki67 Quantification for Triage of Genomic Recurrence Score in Breast Cancer

PaiXBench: Benchmarking Vision-Language Models under Real-World Conditions

OrdPath-MIL: Ordinal Multiple Instance Learning for Pathology Whole-Slide Image Grading

Explainable Slide-Level Analysis for High-Risk Disease in Colorectal Polyps using Foundation Models

PathPool: Decoupled and Pooled Feature Serving for Pathology Foundation Models

CREATE

FRAME: Full-body Recovery via Adaptive Margin Extension for Occlusion-Robust 3D Human Pose and Shape Estimation

StereoSurg: A Benchmark for Stereo Depth Estimation in Surgical Scenes

Predictive Representation Learning with Prior Knowledge for Surgical Workflow Forecasting

CLMP: Contrastive Language-MRI Pretraining at Large Scale

EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding

Surgical Foundation Model Ensembles for Predicting Annotator Disagreement in Critical View of Safety Assessments

Hierarchical Quality Assessment of Medical Image Synthesis for Clinical Translation

AI-Guided User Interface Enables Standardized Carotid Ultrasound Scanning After Minimal Training: A Comparative Experimental Study

SurgSemGS: Semantic and Contrastive Gaussian Splatting for Dynamic Surgical Scene Understanding

CathAgent: A Lightweight Video Assistant for Endovascular Action Recognition

Intraoperative AR Visualization of Preoperative (CB)CT via X-Ray Registration

CT Airway-Map Reliability for Bronchoscopic Planning: A Multi-Cohort Study of Connected Peripheral Endpoints

RadQC-Bench: Benchmarking Vision-Language Models for Quality Control in Radiology Reporting

CaPTion

Evaluating the Effects of Inter-Observer and Model Variability on Radiological Peritoneal Cancer Index Assessment

The provider-coverage gap in conformal ISUP grading is not a fixed property of the cohort: evidence from two grader configurations on PANDA

Cross-Center Prototype Learning for Generalizable Multimodal Head-and-Neck Cancer Prognosis

Efficient Self-Supervised Pre-Training in Endoscopy

Learning Tissue Interactions for Pathological T-Staging of Rectal Cancer from Whole-Slide Images

Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening

Physics-Guided Implicit Neural Representations for Enhanced Quantitative DWI Biomarkers in Pancreatic Cancer

Graph-Refined Probabilistic Mitigation and Fair Reweighing for Enhanced Equity and Generalizability in Prostate MRI Radiomics

Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

TRAIL: Trajectory-Aware Reward Attribution and Inference for Longitudinal Multiple Myeloma Treatment Trajectories

Task-Guided Deformable Registration for Prostate MRI Analysis

SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer

Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology

Confidence-Aware Multimodal Survival Prediction in Renal Cell Carcinoma using Graph-Based Histopathology Encoding

Task-Specific Prostate MRI Quality Assessment via Downstream Performance and Feature-Space Novelty

Radiomics–Foundation Fusion for Interpretable RCC Classification: Internal Benchmarking and Exploratory External Transfer

When Two Tracers Disagree: An Investigation of Multimodal Fusion for Clinical PET/CT Segmentation

SLN-Net: A Dual-Sequence MRI Network for Detecting Small Lymph Nodes in Gynecologic Malignancies

Deep Learning-Based T4 Colorectal Cancer Staging from Preoperative CT Scans

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

DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis

Identity-Preserving Synthetic Dermoscopic Lesion Generation via ABCD Prompting

Domain-Specific Clinically-Grounded Multi-Task Learning for Interpretable Early Colorectal Cancer Recognition

L-Spot: Slice-Aware Consensus for Hepatocellular Carcinoma Localisation in Contrast-Enhanced CT

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

PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

FaithCLIP: Faithful Geometry-Derived Alignment for Text-Queryable Polyp Representations

Fed-FGS: Domain-Generalized Federated Polyp Segmentation via Fourier Hard-Thresholding and Gradient Scaling

Why Background is Important: Virtual Lesion Excision for Detecting Radiologically “Invisible” Prostate Cancer

Probability-Based Lesion-Aware FN/FP Loss for Whole-Body PET/CT Tumor Segmentation

Limited-FOV Liver Deformable Registration via Transformer-Based Point-Cloud Completion

DEMI2026

Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation

A Hierarchy of Training Strategies for Data-Scarce Medical Image Classification

Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Quality-Controlled Keyframe Sampling using Endoscopic Foundation Models

FLAME-US: A Landmark-Guided Dataset for Quantitative Fetal Motion Analysis in Freehand Ultrasound

The Data Engineering Contract: A Formally Specified Pipeline for Generative Prostate MRI

CheXQuery: Anatomy and Condition Guided Radiology Report Generation under Limited Data

Structure-Aware Diffusion for Synthetic Fluoroscopic Video Generation

Training-Free Histopathology Classification via Confidence-Filtered DINOv2 Retrieval

Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching

Subspace-Based Auditing of Bottlenecks in Retinal Fundus Foundation Embeddings

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

Label-Efficient Data Engineering for Reliable Orthopedic Radiograph Registry Construction Under Distribution Shift

Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation

Depth-Enhanced LoRA-Tuned VLMs for Hand and Tool Keypoint Detection in Surgical Scenes

ROI-Based Image Captioning for Endoscopic Kidney Stone Characterization

Exploring World Models for Surgical Video Synthesis for Tool Localisation and Tracking

DGM4MICCAI

From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors

FedDSR: Codebook-Based Distribution Alignment for Heterogeneous Federated CT Super-Resolution

Making sparse labels reliable: validity-gated ROI guidance for medical image generation with conditional latent diffusion model

PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

A Unified Latent Diffusion for High-Fidelity Any-to-Any Brain Modality Synthesis

When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images

Weakly Supervised Lung Nodule Segmentation via Plug-and-Play Guidance of 3D Rectified Flow

Patient-Adaptive Modality Attention for Multimodal Brain Tumor Synthesis via Latent Diffusion

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

Disentangled Retinal Fundus Synthesis with Non-Circular Vessel-Topology Evaluation

Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis

Leveraging Multi-Representation Features from Diffusion Models for Unsupervised 3D Medical Image Segmentation

Unpaired D-FF-OCT-to-Histopathology Translation for Rapid Kidney Biopsy Visualization

Synthetic Data Generation for Automated Hair Instance Segmentation in Trichoscopy

Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI

2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

Large-Volume Conditioned 3D Latent Diffusion Models for CT Metal Artifact Suppression

Generation of Breast Tumors’ Shear Wave Elastography Images from Corresponding Ultrasound Images with US2SWEdiff

LaST-Diff: Latent Spatiotemporal Diffusion for Temporally Stable Echocardiography Video Segmentation

DT4H

An AI-Driven Pulsation Method of pVADs for Cardiac Digital Twins

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

VERPEX: Anatomical Landmark Extraction on 3D Vertebrae exploiting Segmentation Masks

Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound

tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins

3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification

PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation

Beyond Predictive Modeling: Toward Causal Digital Twins for Personalized Healthcare

Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation

Improving Anatomical Continuity in Synthetic Left Atrial LGE-MRI Using Inter-Slice Attention

From Treatment Choices to Tumour Trajectories: Proof-of-Concept in Preference-Aware Agentic Simulation for Digital Twins

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

Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

PolyAge-DT: Missingness-Aware Multimodal Representation Learning for Aging Digital Twins

Cohort-Level Twinning in an Agent-Based Model of Metastatic Tumor Growth

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

Population-to-Personal Networks as an Interpretable Foundation for Multi-omics-Driven Health Digital Twins

Modeling Progression of Microwave Ablation Volumes by Neural Surrogates

When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

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

Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan

Region-Aware Temporal Super-Resolution for Interventional X-ray Imaging

Sex-specific signatures in cardiac anatomy and function in CMR-Derived Biventricular Digital-Twins

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

Learning Temperature-Dependent Properties in Cryoablation with Differentiable Physics

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

3D Computational Modeling of the Vascular Heat-Sink Effect in Microwave Ablation of Tumors Close to the Aorta

PedDiffusion: Multi-scale wavelet packet conditional diffusion for pediatric 12-lead ECG reconstruction from a single lead

A Digital Twin Framework for ICU Delirium Using SAITS-Based Patient State Embeddings

From PACS to Morphometrics: A Hospital-Integrated Workflow for Hip Digital Twin Research

DeCaF

Class Prototype Alignment Concentrates Chest X-ray Representations in Federated and Pooled Training

Gerchberg-Saxton Spectral Preprocessing as Empirical Leakage Mitigation in Simulated Federated Medical Imaging

FOCUS: Federated Learning Optimized Convergence via Uncertainty-guided Sampling

When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control

Personalized Federated Learning for Equitable Breast Cancer Detection in Underrepresented Pacific Islander Populations

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Federated Chest X-ray Diagnosis under Label Heterogeneity via Disease-Aligned Prototype

LAFFS: LASSO Assisted Federated Feature Selection

NeuroFL: A Production Federated Learning Platform for Privacy-Preserving Brain-Health Research

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

DeMICAF: A Decentralised Medical Imaging Compliance Assessment Framework

Quantifying Membership Privacy Risk Using Shadow Model Membership Inference Attack: Observations from a Breast Cancer Use Case

Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Towards Highly Heterogeneous Federated Learning: A Graph-Based Framework for Architectural and Data Heterogeneity

Deep-Brea3th

Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography

Beyond 3D Convolutions: A 4D Spatiotemporal Transformer-Based Network for Capturing Vascular Kinetics in Neoadjuvant Chemotherapy Response Prediction

Landmark Detection for Automated Mammography Positioning Quality Assessment via Posterior Nipple Line Consistency

MammoClaw: Towards Skill-Evolving Agent Harness for Breast Cancer Mammography Analysis

How Far Does Contrastive Self-Supervision Get You on Breast Ultrasound? A Label-Efficiency Study on BUSI

Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

Adaptive Multi-Encoder Gated Fusion for Interpretable Prediction of Pathological Complete Response in Breast Cancer

Mammo2Tomo: Adapting Mammo-CLIP to learn text-aligned DBT volume representations

Forecasting Artifacts in High b-Value DWI MIP Images of the Breast Using Deep Learning and T2-Weighted or Low b-Value Acquisitions

SAM-Guided Probability Representation for Breast Ultrasound Lesion Segmentation

Quality-Aware Multi-class Breast MRI Segmentation Workflow

BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Fusion of Topological Data Analysis and Radiomics for High-Resolution 3D Breast Microcalcification Classification

Multimodal Multiple Instance Learning for Fibroepithelial Tumor Diagnosis in Breast Ultrasound

Shape-shifter: Generalized segmentation of breast implants on Localizer MRI

OOD-Guided Continual Learning for Multi-Scanner Breast MRI Lesion Segmentation

Structured Report Generation from Digital Mammograms via Instruction-Tuned LoRA Adaptation

DAMST: Domain-Adaptive Medical Slice Transformer for Multi-Center Breast MRI Classification

Impact of preprocessing strategies on segmentation of fibroglandular tissue on breast MRI using deep learning

Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Breast MRI Sequence Type Classification using Convolutional Neural Networks

Structure-State Conditioned FB-to-DIBH Transition Learning for Breast Cancer Radiotherapy Segmentation

Image Reconstruction of Breast Diffuse Optical Tomography via Implicit Neural Representations

A Multi-Stage Deep Learning Framework for the Automated Assessment of Mammographic Microcalcifications

Towards Reliable Classification: Building Bridge From Validation to Clinics With Improved Partial-AUC Optimization for Mammography False-Positive Detections Filtering

Mammo-LeJEPA: A Data-Efficient Self-Supervised Framework for Breast Density Estimation

ELAMI

Rule-Compliant Brain MRI Volumetry Report Generation with Locally Deployable LLMs

PSV2026: A Fine-Grained Clinical Factuality Dataset for Medical Vision-Language Models

Contrastive Answer Calibration for Medical Visual Question Answering

Diagnosis of Autism Spectrum Disorder using LLMs and Multimodal Brain Connectivity Analysis

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

LLM-Based Differential Diagnosis of Neurodegenerative Diseases from MRI-Derived Brain Atrophy Reports

Clinical Reliability in Multilingual Chest X-ray Report Generation

PathLLaVA: Continuous Vision-Language Alignment for Bladder Cancer Pathology Report Generation

Balancing Retrieved Evidence for 3D CT Report Generation

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

FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Authority-Preserving Evaluation of Medical Vision-Language Assistants

Evaluating Medical Report Generation on Real Clinical Data: A Case Study

BioMAD: Biologically Guided Multi-Axis Delta Learning for Longitudinal Alzheimer’s Disease Classification

LLM-HypSFCN: LLM-Guided Hyperbolic Structure-Function Coupling Network for Early Cognitive Assessment

Sliding window-based local feature extraction for findings reports generation from longitudinal 3D CT volumes

EMA

StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows

Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI

Test-Time Instance Selection for Improved Whole Slide Image Analysis

Active few-shot segmentation by reinforcing data selection

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training

Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Nine Dimensions Are Enough for Patch-Level Classification with Histopathology Foundation Model Embeddings

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

Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

RadYOLO: Computationally Efficient 3D Object Detection and Segmentation in CT and MRI

How Do Train-Time Pruning Dynamics and Pruning Schedules Affect Retinal Vessel Segmentation?

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

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation

Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models

Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation

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

Segmentation Without Full Logits: Fused Kernels for Memory-Efficient Many-Class Models

BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition

When Efficiency Meets Fragility: Adversarial Vulnerability Shifts in Quantized Medical VLMs

A Tiny Correction in the Right Place: Adapting a Fluorescence Super-Resolution Foundation Model

MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs

How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification

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

Guess where the pancreas is: scalable 3D foundation features with Finite quantisation, neighbourhood attention and red-black masking

Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading

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

SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis

Outlier-Suppressed Transformer for Efficient 3D Medical Image Segmentation

EMERGE

Fully Automated CT-Based Differential Diagnosis of Bowel Wall Thickening

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

FadeFormer: Content-Adaptive Graph Diffusion for Medical Image Classification

Replication and Reproducibility Analysis of Breast Tumor Classification and Segmentation Benchmarks on the BreastDM Dataset

Multi-Paradigm Fusion of XAI Methods for Chest X-ray Explanations

Label- and Parameter-Efficient Lung Ultrasound Representation Learning via I-JEPA for Edge Diagnostics

When Simple Wins: Lightweight CNN Encoders for Resource-Constrained Nucleus Segmentation

Feature Extraction Strategies for Clinically Significant Prostate Cancer Detection on Biparametric MRI: A Systematic Ablation of the Local-Global MIL Framework

Evaluating Concept-guided Visual Counterfactual Generation in Medical Imaging

KneeDINO: Cross-Plane Attention Fusion for Multi-Label Knee Pathology Detection with Grounded LLM Explainability

GraM-Diff: A Unified Graph–Mamba Diffusion Framework for EEG-Based Alzheimer’s Disease Data Generation and Diagnosis

GPT-DBR: Decoding-Based Language-Model Regression for CT-Derived Lung-Function Estimation

Linear and Non-Linear Dimensionality Reduction for Hyperspectral Overlapping Chromosome Segmentation

Relational Learning of Temporal and Semantic Clinical Structured EHRs for Enhanced Patient Outcome Forecasting

Annotation-Free Structured Delineation for Weakly Supervised PET Lesion Segmentation

MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation

Label-Efficient Multimodal Microsleep Forecasting via Interpretable Disagreement-Driven Active Learning

GF-BrainSR: Gated Frequency-Aware Selective State Space Model-Based Brain MRI Image Super-resolution

EchoRisk

EchoMoVE: Multi-View Mixture-of-Experts Regression for Echocardiographic LVEF Estimation under Small-Cohort and Label-Imbalance Constraints

A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction

CNN and ViT Backbone Fine-Tuning with Pseudo-Label Segmentations for the EchoRisk Challenge

Orthogonalising LVEF: Cyclic Consistency and Expert Cavity Supervision

MultiPhys-EF: Decorrelated Multi-Signal Fusion for LVEF Estimation in Cardiotoxicity Surveillance

One Encoder to Address All: Cardio-Oncology Assessment of Left Ventricular Ejection Fraction, Left Ventricular Dysfunction, and Early Cardiotoxicity in Echocardiography Cine Loops

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

Motion-Aware Multi-Stream Learning for Subclinical LV Dysfunction Detection from Echocardiography Videos

Multi-View Beat-Clip Probing of an Echocardiography Foundation Model for Cardio-Oncology

Foundation Model Fine-Tuning with Attention-based Multi-View Fusion for Multi-Task Cardiac Function Assessment

Deformation-Aware Expert Fusion for Echocardiographic Left Ventricular Dysfunction Assessment

Pretrained Echocardiography Video Models for LVEF Estimation and LV Dysfunction Classification

General vs. Echo-Specific Video Foundation Models for Echocardiographic Risk

EchoSense: Leveraging Foundation-Model Embeddings and Multiscale Temporal Modelling for Early Cardiotoxicity Prediction

EndoLINA

EndoSplaTAM: Photorealistic Dense SLAM for Endoscopy Using Gaussian Splatting

More than Segmentation: Benchmarking SAM 3 for Segmentation, 3D Perception, and Reconstruction in Robotic Surgery

TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection

Topology-Constrained Vision-Language Sequence Modeling for Bronchoscopic Localization

SurgTriKG: Canonical Event Graphs for Training-Free Surgical Triplet Reasoning

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

Adapting Generalizable Visual Geometry Models for Endoscopic 3D Reconstruction

ColScale3R: Parameter-Efficient Native-Scale Adaptation of Feed-Forward 3D Reconstruction for Colonoscopy

Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

FAIMI-BRIDGE-EPIMI

Contrast-Induced Class Overlap as a Fairness Bottleneck in Dermatological AI: Evidence from HAM10000

Gradient Erasure and Contributory Injustice in Federated Medical Imaging AI

Investigating Sex and Ethnicity Bias in Deep Learning-based Echocardiography Image Segmentation

Hallucinations and constraints : Regulating surgical workflow recognition beyond accuracy

Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIP

When Fairness Transfer Backfires: Dark-Skin Inversion in Dermatology Foundation Models and a Minimal In-Distribution Fix

Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening

When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation

Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

On Evaluating Subgroup Discovery in Medical Image Classification

An Intersectional Fairness-Aware Framework for Alzheimer’s Disease Detection Using Multimodal Data

Marginal Coverage Hides a Reduced-Ejection-Fraction Reliability Gap: Severity-Conditional Conformal Intervals on Public Echocardiography

Intersectional Disentangling of Temporal and Acquisition Bias in Fetal Ultrasound

What is AI to Us: Exploring Patient Values in Integrating AI for Epilepsy Management

Foundational values for foundation models

Equal Accuracy, Unequal Agreement: Auditing Clinician–AI Agreement Fairness in Lung Nodule CT

Multiple Shortcut Pathways in Mammography-Based Breast Cancer Risk Prediction

Rethinking Explainability for Clinical Trust: A Task-Specific Communicative Layer

Futures Before Failures: Design Fictions for Anticipatory Fairness in Surgical AI

Counterfactual Stress Testing for Image Classification Models

Loss-Conditioned Utility-Fairness Boundary Modeling for Medical Imaging

From Fairness Findings to Fairness Claims: An Evidence Classification Scheme for Clinical AI

Subgroup performance analysis of adaptation strategies for chest X-ray foundation models

False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation

FoundUS

Metric-Aware Semi-Supervised DINOv2 Ensembles for Unified Ultrasound Biometry

MABA: Measurement-Aware Biometry Adaptation for Landmark-Based Ultrasound

Attention-Gated U-Net with Heatmap Moment Coordinates for Multi-Organ Ultrasound Biometry

USBiomWorld: Ultrasound Biometry World Model for Robust Landmark Measurement

Semi-supervised DINOv3 Adaptation for Multi-domain Ultrasound Biometry

SonoAdapt: Foundation Model Adaptation for Supervised Multi-Task Ultrasound Biometry

TABS: Transfer-Aware Backbone Selection for Cross-Centre Ultrasound Biometry

Baseline Method for Multi-Task Keypoint Localization in Fetal Ultrasound Imaging Baseline Implementation for Keypoint Localization Challenge 2026

High-Resolution DINOv3-DSNT Landmark Regression for Multi-Organ Ultrasound Biometry

Unified Coarse-to-Fine Landmark Localization for Multi-Domain Ultrasound Biometry

Self-Supervised Domain Adaptation with DINOv2-HRNet for Multi-Task Ultrasound Landmark Detection

A Unified Multi-Task Model for Ultrasound Biometry Landmark Detection under Extreme Label Scarcity

Domain-Generalised Ultrasound Biometry via FiLM-Conditioned Multi-Task Landmark Detection with Progressive Semi-Supervised Learning

Self-Assessing Anatomical World Model for Unified Multi-Domain Ultrasound Biometry

A Unified Foundation-Model Framework with Semi-Supervised Consistency and Heatmap Ensembling for Nine-Task Ultrasound Biometry Regression

A Unified Semi-Supervised Framework for Multi-Task Ultrasound Biometry Landmark Detection

Towards Universal Ultrasound Biometry with Task-aware Foundation Models

LandWorld: A Latent Predictive Foundation Model for Landmark-Based Ultrasound Biometry

VSTA: A DINOv2-Based Unified Semi-Supervised Framework for Ultrasound Biometry

UniUSB: Domain-Aware Adaptation of Vision Foundation Models for Unified Multi-Domain Ultrasound Biometry

Encoder Capacity Is the Binding Constraint in Unified Multi-Task Ultrasound Landmark Detection

Task-Conditioned Parameter-Efficient Adaptation for Robust Ultrasound Landmark Localization and Biometric Measurement

CAMS: Coordinate-Aware Multi-task Semi-supervised Learning for Ultrasound Landmark Localization

Multi-Task Landmark Detection for Fetal and Cardiac Ultrasound Biometry under Label Scarcity

Stable Landmark Identity and Unlabeled Adaptation: A ConvNeXt Framework for FoundUS 2026

SonoDiNoV2: Geometry-Aware, Pseudo-Label Guided Multi-Task Ultrasound Model

Multi-Task Ultrasound Biometry Landmark Detection

Hierarchical Ensembles of Complementary Landmark Detectors for Multi-Task Ultrasound Biometry

PULSE-FM: A Foundation Model for Ultrasound Biometry with Task Adaptation and Progressive Landmark Refinement

A Single Unified DSNT Model with Protocol-Calibrated Readout for Generalizable Multi-Task Ultrasound Biometry

PULSE: Pseudo-labelling of Ultrasound by Local-to-Semantic Expansion for Generalisable Biometry

GRAIL

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

Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

Diffusion-based Perturbation Modeling for Unsupervised Detection of Sulcal Pattern Alterations

FBN-Bench: Do Graph-Based Deep Learning Models Improve Functional Brain Network Classification?

Imaging the Topology of Dynamic Brain Connectivity

TumorGraphs: Patient-Level Fusion of Multi-WSI Histopathology

Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images

Topological Deep Learning on Graphs for Arrhythmia Risk Prediction From Images

A Continuous Optimization Approach for Graph Cuts-based Phase Unwrapping

MetaCBT: A Multi-Layer Connectional Brain Template for Reproducible Population-Level Biomarker Discovery

HAIC26

AI-assisted labeling and its pitfalls: A case study in Electron Microscopy segmentation

Adapt While You Annotate: The Missing Complement to Interactive Segmentation

Accounting for Over-Reliance in AI-Assisted Performance Studies

Characterizing Global and Local Model Behavior in Interactive Segmentation

Why AI Fails to Influence Admission Decisions: Evidence from a Case Study

Standardizing MRI Patient Setup with Real-Time Camera Guidance and Worklist-Driven Scan Intent

Human Checkpoints in Automated Speech-to-Report Generation: Radiologist Correction for CEUS LI-RADS Categorization

Verbalized Findings as the Interface for Near-Term Human–AI Collaboration in Radiology: A Clinical Perspective on LLM-Assisted Diagnosis

Towards Interpretable AI Second Opinions: Foundation Model Heatmaps in Radiology

Beyond One-Shot Interaction: Framing Pathology Human–AI Collaboration via Workflow Evidence

Rethinking Ultrasound Datasets via Clinical Human–AI Collaboration Tiers

It’s Time to Talk Human-Centered Research at MICCAI

A3F: Anatomy-Aware Actionable Feedback for Fetal Ultrasound

Toward Agentic Echocardiography: Reinforcement Learning with Foundation-Model Similarity Rewards in a CT-Derived Simulation

Learning to Defer with Guidance on Real World Medical Data

IBS: Interactive Batch Selection for Medical Image Segmentation

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

Fetal-CARE: Collaborative Annotation with Reviewer-Stratified Expertise for Fetal Ultrasound Standard Plane Classification

HEADLINE

Entity-Aware Head CT Report Generation via Classification-Derived Label Priors

FiReGen: Findings-Aware Retrieval and Reinforcement-Tuned Generation of Free-Text Head CT Radiology Reports

Low-Rank Adaptation of a 3B Vision-Language Model for Head-CT Report Generation: HEADLINE 2026

E-Head: Efficient Head CT Report Generation via Multi-Resolution Series Integration and Two-Stage Parameter-Efficient Fine-Tuning

CIRCA: Maximising Per-Slice Detail for Head-CT Report Generation with a Windowed-RGB and Split-Slab Bone-Projection Representation for the HEADLINE Challenge

Head CT Report Generation from Subsampled Slices with Candidate Selection

Finding-Aware Contrastive Re-Alignment for Head CT Report Generation

HECKTOR

HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

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

Deep Learning-Based Segmentation and Feature-Based Clinical Prediction for Head and Neck Cancer

Unified vs modular methods for head-neck tumor and lymph node segmentation, staging, and survival prediction

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

Wide-Field PET/CT Segmentation, Local Refinement, and Clinical-Variable Models for HECKTOR 2026

Efficient Multi-Task Framework for Head and Neck Segmentation, Staging, and Prognosis

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

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

BRACHIO: Broad Representations Across Centres for Head-and-neck Imaging Oncology

From Tumor Segmentation to Clinical Prediction: A PET/CT Pipeline for Head and Neck Cancer

Predicted Masks Throughout: A Cross-Center Generalizable Pipeline for Joint Head and Neck Tumor Segmentation, Staging, and Prognosis

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

JOTAC-HN: Joint Outcome and TN Assessment Cascade for Head and Neck Cancers

Geometry Meets Metabolism: Interpretable Segmentation, Staging, and Prognosis in Head and Neck PET/CT

GASP: Multimodal Geometry-Aware Segmentation, Staging, and Prognostication of Head and Neck Cancer

HemaRAI

Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?

Task-guided Hierarchical Multi-stain CycleGAN with Contrastive Learning for Robust White Blood Cell Classification

MaLDAM: Masked Localized Domain Adaptation for Malaria Detection in Low-Cost Microscopic Images

Comparing Centralized and Federated Learning for ECG-Based Chagas Disease Detection

A Novel Semi-Supervised Approach for Red Blood Cell Shape Analysis in Flow

ISIC

Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement

Dual-Penalty Conformal-Aware Loss for Reliable Skin Lesion Classification Under Class Imbalance

Automated Skin Lesion Detection in Total Body Photography: A Multi-Architecture Benchmark

DermaNet: Flexible-View Fusion for Dermoscopic–Clinical Skin Lesion Classification

LUTSeg: A Longitudinal Multi-Expert Dataset for Ulcer Tissue Segmentation

Taxonomy-Guided Vision–Language Representation Learning for Hierarchical Skin Disease Classification

Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology

ISLES

A Metadata-Informed Two-Stage nnU-Net Cascade for Ischemic Stroke Lesion Segmentation

SADL: A Size-Adaptive Decision Layer for Chronic Stroke Lesion Segmentation in ISLES 2026

Ladle-ResEncL with Lesion-Size-Weighted Learning for Ischemic Stroke Lesion Segmentation

From Baseline to Bilateral Asymmetry: A Systematic nnU-Net Comparison for Ischemic Stroke Lesion Segmentation in ISLES’26

Adaptive Post-Processing Drives Instance-Level Detection in Stroke Lesion Segmentation

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

Investigating Small-Lesion Segmentation Failures in Acute Ischemic Stroke: An nnU-Net Baseline Analysis for ISLES'26

MWCA-Net: Metadata-Conditioned 3D UNet for ISLES 2026 Stroke Segmentation

T1w MRI Stroke Lesion Segmentation with Optimized Preprocessing and Residual Encoder nnU-Net

Deconver for Stroke Lesion Segmentation

Bottleneck-Mamba 3D U-Net Baseline for Lesion Segmentation in ISLES’26 Ischemic Stroke: Limited by Precision in Segmenting Small and Multifocal Lesions

Ranking-aware model selection for stroke lesion segmentation

LightMedSeg-ISLES: Stroke Lesion Segmentation with 81× Fewer Parameters than nnU-Net

Native-Space 3D CarveMix for Multi-Site T1w Stroke Segmentation

Dual-Family Ensembling and Failure-Mode Analysis for Ischemic Stroke Lesion Segmentation in Single-Sequence T1w MRI

Atlas-Centric Multi-Center Ischemic Stroke Lesion Segmentation with MedNeXt++

Evaluating Pipeline Design Choices for Chronic Stroke Lesion Segmentation in T1-Weighted MRI

Voxels or Millimetres? A Controlled Comparison of Lesion-Size Filtering for Native-Space Stroke Segmentation

Residual-Encoder nnU-Net for Multi-Phase Ischemic Stroke Lesion Segmentation in Native-Space T1-Weighted MRI

LISA

A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging

A Unified Masked Autoencoder Framework for Quality Assessment, Image Restoration, and Multi-Structure Segmentation in Low-Field Pediatric Brain MRI

Pretrained and Self-Configuring Ensembles for Pediatric Ultra-Low-Field Brain MRI Analysis

Slice-Based 2D Transfer Learning Outperforms 3D-From-Scratch for Quality Assessment of Ultra-Low-Field Neonatal MRI

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

A Modular Multi-Model Framework for Multi-Structure Segmentation of Ultra-Low-Field Pediatric Brain MRI

Diverse-Loss Backbone Ensembling for Multi-Label Artifact Quality Assessment of Ultra-Low-Field Pediatric Brain MRI

Dual-Annotation Assisted Boundary-Aware Segmentation for Ultra-Low-Field Pediatric Brain MRI

Generalized Prior-Conditioned MRI Segmentation for Ultra-Low-Field Pediatric Brain Structure Segmentation

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

Ensembled Laterality-Aware Residual nnU-Net for Low-Field Pediatric Brain MRI Segmentation

A 2.5D Ordinal Quality Assessment and Metadata-Preserving Residual Restoration Framework for Ultra-Low-Field Pediatric Brain MRI

Quality Assessment, Enhancement, and Subcortical Segmentation of Ultra-Low-Field Pediatric Brain MRI: The LISA 2026 Challenge

Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Enhancing Neuroanatomical Segmentation and Quality Assurance in Pediatric Ultra-Low-Field MRI

Deep Learning Models for Automated Quality Assessment and Artifact Reduction in Ultra-Low-Field Pediatric Brain MRI

Axis-aware Image Artifact Evaluation and Asymmetry-aware Multi-Label Segmentation of Subcortical Structures in Low-Resolution Pediatric Brain MRI

Physics-Aware k-Space Artifact Simulation for Quality Assessment of Ultra-Low-Field Pediatric Brain MRI

LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MRI

Overcoming Low Signal and Scarce Data: Quality Assessment, Enhancement, and Segmentation of Ultra-Low-Field Pediatric Brain MRI

Atlas-Guided Local Expert Fusion for Pediatric Ultra-Low-Field Brain MRI Segmentation

MAMA-SYNTH

MAMA-FLUX.2: Image-to-Image Synthesis of Post-Contrast Breast DCE-MRI for the MAMA-SYNTH Challenge

MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans

DARE: Dilated Anatomy-Anchored Residual Enhancement for Virtual Contrast Synthesis in Breast DCE-MRI

Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching

Two-Stage Enhancement-Field Synthesis of Contrast-Enhanced Breast MRI from Pre-Contrast Slices

Tumor-Aware Residual nnU-Net for Virtual Peak-Enhancement Breast DCE-MRI Synthesis from a Single Pre-Contrast Slice

Lesion-Aware Virtual Contrast-Enhancement in Breast MRI Using CycleGAN

Where and How Much: Enhancement-Decomposed Flow Matching for Virtual Contrast-Enhanced Breast MRI

Supervised Virtual Contrast Enhancement in Breast MRI with Multi-Domain Losses and Lesion-Aware Decoding

When Regression Beats Generation: Virtual Contrast-Enhanced Breast MRI and What Its Metrics Reward

Tumor-Aware Conditional Pix2PixHD with Per-Image Normalization for Virtual Contrast Enhancement in Breast MRI

Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement

METIS

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

MI4MedFM

GRD-DCA: Region-Conditioned Refinement for Grounded Radiology Report Generation

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

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

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

Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis

Evaluating the potential and limitations of MedSAM for acute stroke lesion segmentation

Counterfactual Activation Patching of Pleural-Effusion Boundary Failures in MedSAM

Label-Free Parkinson’s Disease Screening from Face and Voice through Mechanistic Interpretability

LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation

Reading Between the Lesions: Auditing Whether Multimodal Dermatology Classifiers Actually Use Clinical Text

The Metric, Not the Model: Anatomy Confounds Attention Faithfulness in Coronary Calcium

Interpretable Missense Variant Effect Prediction via Sparse Feature Changes in ESM-2

PATH-DISSECT: Interpreting Concept Representation and Classifier Reliance in Pathology Foundation Models with Sparse Autoencoders

Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations

MIART

Supporting Clinical Trial Quality Assurance of Organ-at-Risk Contours with Image-Conditioned Diffusion Models

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

4D Pencil Beam Treatment Plan with Conditional Weight Predictions

More Comprehensive and Reliable Deep Learning Normal Tissue Complication Probability Models for Head and Neck Cancer Patients

PR3DICTR: a 3D Image-Based Deep Learning Prediction Modelling Framework and its Use in Radiotherapy

Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning

SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation

Heterogeneous IMRT and VMAT Dose Calculation using Deep Learning with Beam Path Reconstruction and PTV Information

Recognizing Dosimetrically Irrelevant Edits of Auto-Segmentations in Head and Neck Organs of Interest

Can we trust synthetic CT algorithms? Uncertainty-aware evaluation of CBCT to CT synthesis for adaptive proton therapy

DoMa-Seg: Dose Map Guidance for Medical Image Segmentation in Head and Neck Radiotherapy

Which Edits Matter? Simulating Realistic Local Corrections to Organ-of-Interest DL Segmentation and Predicting Dosimetric Impact

Motion-Consistent Memory for Foundation Model-Based Tumor Tracking in MR-guided radiotherapy

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

Generalizing Monte Carlo dose reconstruction beyond the training anatomy using conditional diffusion models

Cross-Modal Spatial Gating of Planning-MRI Priors for Longitudinal CBCT-to-CT Synthesis

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis

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

An Uncertainty-Guided Multi-Scale SwinUNETR Framework for 3D Larynx Segmentation in CT

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

Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning

Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach

Uncertainty-Aware Out-of-Field Dose Prediction in External Beam Radiotherapy

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

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

Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy

MIRASOL

Gaussian Regularized Spatial Masking for Enhanced Malaria Blood Smear Augmentation in Resource-constrained Settings

Trustworthy TB Screening: Backdoor Vulnerability and Lightweight Defense in Chest X-Ray AI

ExBale: Quantitative Evaluation of Explainability Alignment in Ovarian Ultrasound Imaging

Clean AUC Is Not Enough: Architecture-Specific Failure Modes of Tuberculosis Classifiers under Digitisation Artifacts

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

Towards CPU-Deployable nnU-Net: Training-Free Sensitivity-Guided Compression Across Clinical Domains

Toward a minimum viable MRI protocol for glioma segmentation in resource-constrained settings

Efficient Explainable AI for Multi-Label Chest Disease Detection in Resource-Constrained Settings via Knowledge Distillation and Quantization

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

Uncertainty-Based Referral for Selective Chest X-Ray Classification

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

Segmentation-Guided Inpainting and Imbalance-Aware Learning for Robust Ovarian Tumor Classification in Ultrasound

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

Compact Radiomics-Guided FiLM Conditioning for Ultrasound-to-MRI Translation

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

A Low-Cost AI Stethoscope for Resource-Constrained Heart Murmur Screening

Hierarchical Task Framing for Prevention-Oriented Cervical Lesion Detection Using Nigerian Colposcopy Images

TRIDENT: Safety-Gated, On-Device Triage for Paediatric Teledermatology on Pigmented Skin

Domain-Specific Augmentation and Uncertainty Quantification for Robust Breast Ultrasound Lesion Segmentation and Classification

Fairness and Cross-Regional Generalizability of State-of-the-Art Glioma Segmentation Models: Evaluation Across African and Global Cohorts

Sensitivity-Optimized Tuberculosis Triage Using Nigerian Chest X-Rays

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

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

Patient-Paired Anatomical Consistency Learning for Cross-View Echocardiographic Segmentation

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

FLAIR Dependence Confounds Cross-Modal Consistency for SegResNet Reliability Estimation on BRaTS-Africa

Representation Learning from Superpixels: Lightweight CNN Encoders Under Data Scarcity

Physics-Informed Deep Learning for Accelerated Open-Source Low-Field MRI Reconstruction

Characterizing Domain Shift in Glioma Segmentation Between Global North and African MRI Datasets

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

Silent Failures in Degraded Chest X-Rays: Benchmarking Uncertainty Methods for Pneumonia Triage in Resource-Constrained Settings

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

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

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

MYRA: Multi-domain Hybrid MRI Representation Architecture for Self-Supervised Low-Field MRI

Does Smear Preparation Type Constitute a Domain Boundary? Within-Domain Baselines and a Transfer Protocol for Malaria Microscopy

Prevention-Oriented Cervical Cancer Triage Using a Nigerian AI Screening Dataset

Benchmarking Explainable AI for Brain Tumour Segmentation and Classification in African MRI

Local Audit Certification of Transferred Medical Imaging Models in Resource-Constrained Settings

Eyes on diet: a low-resource framework connecting diabetic retinopathy screening to regional nutritional guidance

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

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

Beyond Real-Valued MRI Features: Complex Broad Learning for Early Alzheimer’s Disease Diagnosis

Efficient Diffusion-Based Synthetic Augmentation with Automatic OOD-Driven Filtering for Long-Tailed Skin Lesion Classification in Resource-Constrained Settings

Where Does the Discrepancy Come From? Probing Healthy vs. Tumor fMRI with Convolutional and Statistical Lenses

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

TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation

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

User-Friendly AI Software for Automated Quantitative CMR Reporting on Low-Cost, Energy-Efficient Devices

Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation

A Sensitivity-Gated Cascade for Compute-Efficient Spinal Lesion Detection in Resource-Constrained Settings

WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification

Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

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

RAINet: Multi-Scale Involutional Model for Resource-Constrained Medical Image Classification Across Modalities

Dataset-Free Dermoscopic Hair Removal

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

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

Label-Free Foundational Model Selection for Medical Image Classification under Distribution Shift via Pseudo Label Discrepancy

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

Contrastive Radiomics-to-Image Alignment for Cross-Modal Mammographic Mass Retrieval

Edge Deployment of Multimodal Clinical AI on Low-Cost Hardware for Resource-Constrained Settings

Beyond validation loss: Clinically-tailored metrics for hyperparameter optimization improve a model’s clinical performance

CoSWA-YOLOv12: Scale-Invariant Tiny Object Detection and Segmentation of Malaria Parasites

AutoFLIM: Joint Optimization of Architecture, Markers, and Hyperparameters for Efficient Medical Image Segmentation

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

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

MISO

DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics

Identifiable Counterfactual Control Defines Glioma Drivers: A Multi-Scale Causal Framework that Abstains Off-Support

Towards Virtual Biopsy in Ovarian Cancer Through MRI-WSI Registration

Leveraging Cell-level Spatial Transcriptomics as Weak Supervision for Nuclei Classification

Iterative Gamma Normalization for Inter-Sample Integration of Multiplexed Tissue Images

IsoMobil: Resolving Molecular Ambiguity in Mass Spectrometry-based Spatial Omics Through Ion Mobility

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

Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

ML-CDS2026

Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework

Quantifying Contributions within Multimodal Fusion for Clinical Decisions

MediRely: Reliability-Aware Retrieval for Robust Multimodal Clinical Decision Support

Multimodal and Longitudinal Modeling for Predicting Alzheimer’s Disease Progression

MLCN-2026

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer’s and Lewy Body Dementia Diagnosis

Paramagnetic Rim Lesion Instance Segmentation in Multiple Sclerosis Using Conditional Convolutions

SARAR: Shortcut-Aware 3D Brain MRI Question Answering via Retrieval-Augmented Reranking

Implicit Neural Representations for Modeling the Accumulation of Tau Protein in the Brain

Selection of Informative Variables in Y-Aware Framework: Insights from Genetic and Behavioural Data

Heterogeneous Reservoir Dynamics Reveal Disease-Specific Temporal Fingerprints

MEROS: Multi-view Expert Routing in Ordinal Space for MDD Spectrum Assessment

Toward Personalized Dyslexia Classification via Dynamic Functional Connectivity and Explainable AI

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

TIIC: Tabular Integration of Imaging and Clinical Data for Interpretable Multimodal Inference for Alzheimer’s Disease

A Unified Brain MRI Reporting Framework Built on CoT-Guided VLM and Expert Models

Few-Shot Cross-Site Domain Generalization for Multi-Site Autism Brain Network Classification

Cross-Modality Structural Guidance in 3D Latent Diffusion for Robust FLAIR Super-Resolution

Text-Guided Multimodal Multitask Learning for Brain Tumor Segmentation

Network Alterations Precede Atrophy in Alzheimer’s Disease Progression Subtypes

Do CNNs Learn Clinically Meaningful Imaging Representations? A Portable Multi-level Representation Audit for Brain Tumor MRI Classification

Rapid Whole-Brain Parcellation

Representation Learning for 3D Brain Imaging: A Benchmark

EEG-LoGNet: Bridging Local Features and Global Contexts for EEG-Based Motor Imagery Classification

MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation

SFINX: Structure-informed Functional-MRI Integration via xLSTM for Autism Diagnosis

What Do Persistent Misclassifications Tell Us About Alzheimer’s Disease Detection using Structural MRI?

Automated Segmentation and Height Measurement of Pituitary Gland

Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation

The Diagnosis a Reporter Leaves Unspoken: Surfacing Frozen Tumor Features for Brain-Tumor MRI Reporting

Graph-Theoretical Task-Based Frontal Brain Network of Visual Working-Memory Load: An fNIRS Study

MLMI

Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning

CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling

Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease

M-SFDA: Meta Network with Spatial Interaction for Source-Free Domain Adaptation in Prostate MRI Segmentation using Segment Anything Model

Hierarchical MoE for Multi-Modal ILD Diagnosis

Representation Matters: Rethinking Domain Generalization in Polyp Segmentation

SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning

SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease

DeJEPA: Non-Contrastive Self-Supervised Learning for Voxel-Level Representations

Anatomy-Constrained Neural Dynamics Learning with Function-Structure Coupling for Cognitive Decline Analysis

Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration

A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation

Efficient Test-Time Optimization via Knowledge Distillation for Modality-Agnostic Medical Image Registration

Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning

Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging

Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification

Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation

CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging

Guarantees That Survive a Missing Scan: Modality-Conditional Conformal Prediction for Multimodal Medical Diagnosis

Reducing False Positives in Pancreatic Tumor Segmentation via Multi-Scale Texture Enhancement and Curriculum Learning

Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation

GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives

Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging

Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction

Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms

Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT

Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging

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

A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement

What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation

Augmentation Strategy for DINO in Glaucoma Classification

Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration

Improving Medical Image Generative Models with Fréchet Distance Loss

SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction

SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease

Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction

PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs

CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair

Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video

CirrGuide: A Deep Cascaded Framework for Liver Cirrhosis Segmentation and Severity Classification from T2-Weighted MRI

Benchmarking Self-Supervised Pretraining Strategies for Chest X-Ray Triage and Out-of-Distribution Transfer

HyProDINO: A Hybrid Prototype Guided DINO Framework for Cross-Domain Few-Shot Medical Image Segmentation

Towards Distortion–Perception-Balanced MRI Reconstruction using Posterior-Mean Rectified Flow

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

Inter-Slice Acquisition Budget Allocation for Pathology Aware Accelerated MRI

Knowledge-injection for small-cohort medical image learning

Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient

Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction

LEEWAY: Same Anatomy, Same Score, Different Verdict Using Paired Falsification Tests in Dental CBCT

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

Prevalence calibration as shortcut mitigation

MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation

Data leakage and external validation in lung CT segmentation

Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis

Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods

Model-based distortion correction for Magnetic Resonance Echo Planar Imaging

Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation

A coarse to fine approach to magnetic resonance spectroscopy quantification

HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

HyperPatch: Hypercolumns for Transformer Backbones in Medical Segmentation

Efficient and Faithful Retrieval-Augmented Medical VQA via Intention-Guided On-Policy Self-Distillation

Are robust loss functions still relevant for medical image segmentation with noisy labels?

SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation

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

Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning

MRIxFields2026

Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining

Unified Source-Conditioned Translation with Shared-Cycle Refinement for Any-to-Any Cross-Field Brain MRI

Field-Conditioned MRI Field-Strength Translation for the MRIxFields2026 Challenge

Fast Cross-Strength Multi-Contrast Brain MRI Translation using Latent Bridge Matching

Rethinking Unpaired Data in Unified Cross-Field MRI Synthesis

Modality-Adaptive Contrastive and Supervised Learning for Multi-Field MRI-to-7T Synthesis

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

A U-Net++ Framework with Self-Supervised Pretraining for Low-to-High Field MRI Translation

FieldMorphUNet: Conditional Multi-Field MRI Translation with Structure-Scale Decoupling

A Unified Conditioned Swin-UNETR CUT Model for Cross-Field Brain MRI Harmonisation

Conditional Flow Matching for Cross-Field MRI Harmonisation

DINOv3-PE-DPT: Frozen Public DINOv3 Weights for Cross-Field Brain MRI Translation

Multi-Field MRI Synthesis with Paired–Synthetic–Paired Latent Diffusion

FieldFiLM: A Unified Conditional Generator for the MRI Field-Strength Continuum

Unified Cross-Field Multi-Contrast MRI Translation and Harmonization

N5: A Unified FiLM-Conditioned Output-Stack Cascade for Cross-Field Brain MRI Translation

Physics-Conditioned Latent Diffusion Bridges for Ultra-Low-Field to Multi-Field MRI Synthesis

Any-to-Any Brain MRI Field Translation using a Unified Multi-Modality, Multi-Field Conditional Diffusion Model

Cross-Field MRI Synthesis with an Unpaired Neural Schrödinger Bridge

Pairing-Independent Cross-Field MRI Translation: Synthetic Supervision and Structure-Preserving Domain Adaptation for Ultra-Low-Field to High-Field Synthesis

Anatomy-Anchored Empirical Domain Randomization for Cross-Field T1-Weighted MRI Translation

FieldRF: Anatomy-Conditioned 3D Rectified Flow for Unified Cross-Field MRI Harmonization

MVAA

Boundary-Aware and Semi-Supervised Baselines for Multi-Modal Mitral Valve Anatomy Analysis

Robust Multimodal Mitral Valve Segmentation with Volumetric Anchors and Uncertainty-Guided Surgical-Frame Refinement

Task-Specific Segmentation Pipelines for the MVAA Challenge

From CT to Surgical Video: Robust Mitral Valve Segmentation across Multimodal Clinical Imaging

Failure-Mode-Driven Multimodal Mitral Valve Segmentation for the MVAA 2026 Challenge

Label-Limited Mitral Valve Segmentation Across CT, TEE, and Surgical Video: MVAA 2026

Mitral Valve Segmentation in CT, 3D TEE, and Surgical Video

MVAA-Seg: A Multi-Stage Segmentation Framework for Mitral Valve Anatomy Analysis

Baseline Method of the MVAA 2026 Challenge for Multimodal Mitral Valve Segmentation

Solution for MVAA challenge 2026: Ensemble, Tool-paste Augmentation and Tool-free View Generation

ValveMix: A Unified Semi-Supervised Framework for Multimodal Mitral Valve Anatomy Segmentation

Multimodal Mitral Valve Segmentation: Mesh-Based 3D and Depth-Transfer Learning

Task-Specific Multimodal Mitral Valve Segmentation for MVAA 2026

A Modality-Specific Ensemble for Multimodal Mitral Valve Anatomy Analysis

Modality-Tailored Mitral Valve Segmentation: Custom Architectures and Robust Noise Suppression

Modality-Aware Segmentation of Mitral Valve Anatomy in CT, 3D TEE, and Surgical Video

BEAT: Boundary-aware Efficient Anatomy-Transfer for Multimodal Mitral Valve Segmentation

SurgNeXt: Structured Semantics and Target Presence for Mitral Valve Segmentation in Surgical Video

MVAA-UniSeg: A Query-Conditioned Universal Model with Modality-Specific Experts for Mitral Valve Segmentation

BM-SAM3D: Boundary-Aware Adapter and Mamba Fusion Enhanced SAM for 3D Ultrasound Mitral Valve Segmentation

Task-Specific Segmentation Frameworks for Multi-Modal Mitral Valve Tasks in MVAA2026

Comprehensive Multi-Modal Mitral Valve Segmentation across Cardiac CT and Echocardiography

Mitral Valve Multi-modality Adaptive Segmentation

ReGate-MV: Role-Aware Region–Surface Expert Composition with Structural Repair for Mitral Valve Segmentation

Hybrid-Supervised Multi-Task Network for Multi-Modal Perioperative Mitral Segmentation

Modality-Specific Mitral Valve Segmentation Across CT, 3D TEE, and Surgical Video

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

Semi-Supervised nnU-Net with Weak–Strong Consistency and Boundary Refinement for Mitral Valve Segmentation

Mitral Valve Anatomy Segmentation for Multimodal Data

RATS-SAM: Reasoning with Surgical Evidence for Mitral Valve Segmentation

Mitral-Valve Segmentation Across CT, TEE, and Surgical Video

Geometry-Aware and Semi-Supervised Ensembles for Multimodal Mitral Valve Segmentation

When Does Unlabelled Data Help? A Shift-Aware Semi-supervised Study of Multimodal Mitral Valve Segmentation

Formulation Diversity and Boundary-Aware Postprocessing for Mitral Valve Segmentation in 3D TEE and 2D Surgical Video

Multimodal Mitral Valve Segmentation with Cross-Validation Ensembles and Pseudo-label Retraining

StateMV: Trust-Gated Anatomy-State Transitions for Multimodal Mitral Valve Segmentation

A Multimodal Segmentation Pipeline for Mitral Valve Anatomy Analysis in Cardiac CT, 3D Transesophageal Echocardiography, and Surgical Video

MWM

Inside the Preparation: Multimodal CBCT–Intraoral Scan Fusion for Dental Preparations

Towards Reliable CXR Diagnosis through Disentangled Multi-View Learning Enhanced with Structured Concepts

Pathology-based Ordinal Multiple Instance Learning Framework for Esophageal Cancer Tumor Regression Grading

Future Querying: Can LLMs Serve as Implicit Medical World Models?

SurgGenesis: A Generative Surgical World Model for Future-Aware Surgical Understanding

Multimodal Data Integration via Digital Twins: Analysis of Aneurysm Rupture Risk Factors

Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology

Multi-surface Spatiotemporal Anatomy Transfer for Virtual Reality-based Obstetrics Simulation

An Organoid World Model: Forecasting Self-Supervised Feature Dynamics for Early Chemosensitivity Prediction

Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model Pipelines

Representation-Aware Multimodal Integration for Small-Sample pCR Prediction in Rectal Cancer

Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification

Adversarial-Contrastive Domain Generalization for Cross-Site Autism Spectrum Disorder Classification from Resting-State fMRI

TNCMeasure: Anatomy-Guided and Geometry-Constrained Vision-Language Learning for Thyroid Nodule-to-Capsule Distance Measurement

Stochastic High-Frequency Modeling for Uncertainty-Aware Synthetic CT Generation in Radiotherapy

MedWorld-Lite: A Missingness-Aware Personalized Framework for ICU Medical World Modeling

ICUWorld-QR: A Residual Latent World Model for Hourly ICU Physiology

Sequence-Specific LoRA Adaptation of a Vision Foundation Model for Patient-Level csPCa Classification from Biparametric MRI

A Federated Probabilistic Digital Twin for Adverse-Event Risk in Aesthetic Medicine

CalTwin: Calibrated Shift-Robust Medical World Models via Fisher-Information Regularization

MedAGI

A Resource-Constrained Evaluation of Lightweight Adaptation for Cross-Dataset Chest X-ray Report Generation

CMRVision: A Foundation Model for Cardiac MR Image Analysis

U-VLM: Hierarchical Vision Language Modeling for Report Generation

Frequency Adapter with SAM for Generalized Medical Image Segmentation

A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma

Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos

Semi-Supervised Few-Shot Adaptation of Vision-Language Models

Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis

TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy

B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures

MedDocBench: A Benchmark for Medical Document Visual Question Answering

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

A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions

Coherence Is Not a Green Light: The Limits of Self-Consistency as a Label-Free Reliability Proxy for Medical Vision–Language Models

MedAgent

CLAP-4-QnA: An Agentic Graph-RAG Pipeline for SNOMED-CT-Grounded Clinical Question Answering

Vision-Language Model Guided Semantic Curation for Large-Scale Medical Data Cohorts

From Metrics to Insight: Agent-Based Comprehensive Evaluation of Medical Image Segmentation

Which Tool Response Should I Trust? Towards Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Reinforcement Learning

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

A Fully Local Agentic LLM Architecture for Tool Invocation in Medical Imaging

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

Retrieval-Augmented Longitudinal Reasoning for OCT Change Detection and Forecasting: A Trajectory-Aware Multimodal RAG Framework with Calibrated Vision-Language Models

FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis

EndoRAG: An Agentic Retrieval-Augmented Generation Framework for Endocrinology Question Answering

Attack Your Own Findings: A Falsification Agent Framework for Biomedical Discovery, Benchmarked on Four Errors We Actually Made

Ask4VG: A Risk-Aware Question Selection Agent for Reducing Prior-Driven Answers in Medical VQA

Disentangling Perception and Reasoning in Zero-Shot Multimodal LLMs for Ultrasound Diagnosis

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

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering

Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation

Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline

A Label-Efficient On-Device QC Agent for MRI Segmentation under Domain Shift

LongCXR-Agent: Query-Driven Tool Selection for Longitudinal Chest X-ray Reasoning

MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring

AgentQC: Policy-Constrained Agentic Assessment of Task-Aware Reliability in Medical Imaging Datasets

A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans

HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition

CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

When to Request and Whether to Trust: A Two-Decision Imaging Agent for Pleural Effusion Assessment

Evaluating Procedural Tool-Calling in AI Agents for Lung Cancer Workflows

HarmoAgent: An Autonomous LLM Agentic Framework for Adaptive and Traceable Multi-Site MRI Harmonization

Agentic Visual Evidence Construction and Review Architecture for Medical VQA

LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

AgentFL-Bench: Benchmarking Small Language Models for Fairness Governance in Federated Clinical AI

MechAgent: Active Mechanism Falsification for Agentic Cross-Species Medical Reasoning

Too Tight or Too Loose: How VLM Persona Committees Miscalibrate Inter-Rater Ambiguity in Medical Image Segmentation

Toward Anxiety-Reducing Conversational AI Agents for Breast Cancer Care

FaceLandmarkAgent: A Training-Free Planner-Critic Agent for 3D Facial Landmarking via Spatial-Semantic Reasoning

GLIO-FAILSAFE: Failed Experiment or Negative Result?

Absent-Byte Diagnoses: Auditing Structured Medical VLM Interfaces

MedReason

Answer Readout as a Major Confounder in Medical Multiple-Choice Visual Question Answering

CLINIC-VQA: Reasoning-Aware MLLM with Explicit Clinical Reasoning Traces for Medical Visual Question Answering

MIRA: Modality-Adaptive Image-Grounded Reasoning and Answering for Medical Visual Question Answering under Domain Shift

Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA

A Task-Routed Hybrid Vision–Language System for Medical Visual Question Answering, and a Calibrated Analysis of the Open-Ended Reasoning Ceiling

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

Two-Stage LoRA Adaptation of Qwen3-VL for Image-Grounded Medical Visual Question Answering

GrADe: Grouped Adapter Decoding for Medical Visual Question-Answering under Domain Shift

Medical Visual Question Answering with Length-Prior Arbitration and Reward-Aligned GRPO

Cross-Model Candidate Selection for Grounded Medical Visual Reasoning: A Systematic Comparison of Fourteen Fine-Tuned Vision-Language Models

A Parameter-Efficient Vision–Language System for Reasoning-Grounded Medical Visual Question Answering under Domain Shift

Task-Routed Low-Rank Adaptation with Grounded Supervision for Medical Visual Question Answering

Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA

MultiTab

Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification

Whole-Body MRI Classification via Prompt-Based Clinical Conditioning

Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information

Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction

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

MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer’s Prediction

Tabular Encoder Generalization Under Clinical Constraints for Multi-Modal Risk Prediction

JPathGene: Cross-Modal Latent Diffusion Predictive Learning between Histopathology Images and Genetic Profiles

Predicting Knee Osteoarthritis Pain Trajectories from Multimodal Longitudinal Data

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

Conditional Intervention Analysis: Toward Identifying Causal Features in Tabular Multimodal Data

Single-Pass Conformal Cross-Modal Anomaly Screening with Tabular Foundation Models

ODIN

Teeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework

Registration of 2D intraoral radiographs to 3D CBCT using modality-specific encoding

Comparing Pretraining Strategies for Intra-Oral Image Analysis Under Limited Annotation Budgets

AI-Based Landmark Detection for Condylar Asymmetry Assessment in Patients with Juvenile Idiopathic Arthritis

Attention Voting for 3D Cephalometric Landmark Detection

PAINT: Projection-Aware Implicit Neural Transformer for Soft-Tissue Surface Generation in Orthognathic Surgical Planning

Automatic Cephalometric Landmark Localization on CBCT-Derived Digitally Reconstructed Radiographs for Skeletal Malocclusion Classification

Diagnosis-Aware Multimodal Retrieval for Paired CBCT Scans and Clinical Notes

From TMJ Localization to Detection of Osteoarthritic Features: An Anatomically Guided 3D Deep Learning Pipeline for Cone-Beam CT

CI-MAS: Clinically Informed Restoration-Configuration Simulation for Dental CBCT Metal Artifact Reduction

A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs

Fluency Is Not Faithfulness: Diagnosing and Repairing Confabulation in LLM Report Generation on ToothFairy4 CBCT

Anatomy-Constrained Duplication Loss for Tooth Detection in Panoramic Radiographs

Automated Dental Arch Curve Detection from CBCT: A Geometric and Learning-Based Platform

ODIN-challenges

Registration Teaches Registration: Transform-Derived Crown Guidance for Semi-Supervised CBCT–IOS Alignment

Geometry-Guided Identity Correction for Semi-Supervised CBCT Tooth and Root-Canal Segmentation

Handedness-Aware Cross-Attention SVD for Multimodal Dental Registration

Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT

DentSAFER: Action-Aware Field Retrieval for Structured Dental CBCT Reporting

Clinically Guided Rendering for Orthodontic Report Generation

Seeing the Bite: Learned Cross-Arch Occlusion Grounding for Orthodontic Report Generation from Intraoral Scans and Photographs

GQ-TSR: Guarded Query Teacher–Student Retrieval for CBCT-to-Clinical Record Prediction

Resource-Aware Retrieval Baselines for CBCT-to-Report Generation in ToothFairy4

Semi-Supervised Dental CBCT Report Generation via Entity-Aware Dual-Space Retrieval

CBCT Tooth and Pulp Segmentation via Watershed Fusion and Lightweight Dual-Branch nnU-Net

Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion

CPMT: Cross-Plane Masked Prototype-Gated Mean Teacher for CBCT-to-Clinical Record Prediction

Medication-Safe Dual-Encoder Retrieval for Structured Dental Report Prediction from CBCT

Coordinate-Aware Point Cloud Registration for Crown-to-Root Alignment in CBCT and Intraoral Scans

Segmentation-Guided 3D Dental ROI Transformer for Structured Clinical Report Generation from CBCT

Global-to-Local Tooth and Pulp Instance Segmentation in Dental CBCT

RGBite: Vision-Language Report Generation for the ODIN 2026 Challenge

From Voxels to Views to Reports: A Segmentation-Guided VLM Pipeline for CBCT Report Generation

OrthoScribe: Training-Free Multimodal Orthodontic Report Generation via Photographic Retrieval and 3D Geometry Correction

MMLVM: Geometry-Aware Multimodal Language Modeling for Orthodontic Report Generation

OMIA

Towards a Robust and Explainable Pipeline for Diabetic Retinopathy Classification through Quality-Aware GenAI Image Restoration

Cross-Client Gradient Alignment for Federated Multi-Source Fundus Diagnosis

OphthaAgent: Learning Cognitive Prudence for Reliable Fundus Diagnosis via Tool-Augmented Reinforcement Learning

Structure-Function Linking with Gated Sparse Cross-Attention for Visual Impairment Categorization Using Fundus Imaging and Visual Electrophysiology

Retina-RAG: Retrieval-Augmented Vision–Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation

A Phased Self-Teaching Framework for Hyperreflective Foci Segmentation in OCT

When to Denoise Longitudinal Visual Field Labels: Anchor-Preserving Supervision under Short Follow-up

Beyond the Last Frame: Temporal Modelling of Fluorescein Angiography for Hyperfluorescence Classification

ReGraFT: Broad Multi Label Retinal Disease Classification on MuRFiD

Fundus Image Quality Assessment Based on Frequency-Domain Degradation Transfer and Generative Adversarial Networks

Counting Is Not Enough: Spatially Explicit Formulations for AOSLO Cone Photoreceptor Quantification

ArTiSan: Archetype-Aware TimeSformer for Fast Glaucoma Progression

Beyond Dice: Clinically Meaningful Large-Scale Retinal Artery/Vein Segmentation

Benchmarking Vision-Language Models for Image-Based Infectious Versus Non-Infectious Uveitis Classification

Medical Prior-Guided Few-Shot Adaptation of BiomedCLIP for Infectious and Non-Infectious Uveitis Classification

Topology-Aware Staged Diffusion for Multi-Vendor Retinal OCT Fluid Segmentation

Compress to Scale: Semantic Token Reduction for High-Resolution Retinal Image Analysis

A Novel Recursive Mamba Encoding for Retinal Artery-Vein Segmentation in MedTech Applications

Diagnosing Adaptation Failure Modes in Foundation Models for RNFL Thickness Prediction

In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

A Multitask Learning Framework for Predicting Diabetic Retinopathy Progression via State Transition Matrices

Local scale-free fluctuation analysis for angle closure Detection in AS-OCT images

Weakly Supervised Retinal Layer Segmentation in OCT

Off-Grid

4D Triangle Splatting Reconstruction of Dynamic Endoscopic Scenes from Monocular Videos

Neural CDEs for Variable-Length qMRI: IVIM and R2* Estimation in the Pancreas

Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy

Learning Cardiac Motion Priors for Implicit Neural Representations

Overlap-Free Multi-Organ Shape Synthesis with Implicit Neural Representations

From Histology to in vivo MRI: An Implicit Neural Representation Framework for Medial Temporal Lobe Subregion Segmentation

INR-based FPCA for Efficient Analysis of Longitudinal Neuroimaging Data

Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

Modelling Geographic Atrophy Progression using Implicit Neural Representations

Strain Rate Estimation from Ultrasound Channel Data

NIMOSEF-R: Neural Implicit Motion and Segmentation Functions with Riemannian Embedding Priors and Breath-Motion Correction

Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning

Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Surface-Conditioned Implicit Reconstruction of Internal Anatomy for Automated Patient Positioning

The Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registration

Piecewise Positional Encodings (PPE) for Medical Image Representation

Implicit representations are dead. Long live explicit primitives!

Over-parameterising of optimisation for sparse 3D medical image registration

K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

Is Reconstruction Fidelity a Reliable Proxy for Segmentation in Medical INRs?

Neural Field Fourier Token Mixers for Medical Image Segmentation

Mirror and Map: Symmetric Latent Deformation Priors for Deformable Image Registration using Implicit Neural Representations

Probing implicit neural representations for biomedical image classification in weight space

Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion

PIPPI

SUPER-IVIM-DC-SUB: A Physics-Informed Subset Ensembling Framework for Robust Placental IVIM Analysis in Uncontrolled Maternal Diabetes

Shape-DNA Spectral Analysis of Lesion Morphotypes in Paediatric-Onset Multiple Sclerosis

Quality over quantity: data curation for automated angle of progression estimation in intrapartum ultrasound

R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

The effect of image resolution on texture and shape features derived from placental magnetic resonanceimages

Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Diffusion MRI Tract Analysis Separates Infants with Down syndrome from Typical Controls

Longitudinal registration of human fetal brain MRI

Mapping Structural Connectivity in the Neonatal Developing Brain using Multi-Component Tissue Modelling

Multi-modal deep learning for fetal corpus callosum segmentation and characterization in MRI

EMD-Regularized Heatmap Regression for 3D Ultrasound Prenatal Facial Landmark Detection

Self-Tuning Age-Conditioned Choroid Plexus Segmentation in Neonatal MRI

STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs

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

Region-Wise Interpretable Neonatal Brain Age Prediction via Pretrained Segmentation-Guided Attention

Automated Fetal Brain MRI Biometry in Healthy and Pathological Cases

High-resolution postmortem MRI of the human infant brain: cortical reconstruction and anatomical parcellation

cSVR: Convolutional Slice-to-Volume Reconstruction

PedAItrics

PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

Latent Space Oversampling for Adult–Pediatric Imbalance in Brain Tumor Segmentation

Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Task-Aware Modality Contribution Fusion Framework for Pediatric Postoperative Gross Tumor Volume Segmentation

Growth modelling of children’s ear canals using implicit neural distance representations

Radiomic Prediction of Chronic Kidney Disease Progression in Children with Posterior Urethral Valves

Region-Wise Age Progression in Disentangled VAEs for 3D Face Meshes

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

Do Medical Vision-Language Models Work for Children? Evaluating MedGemma on Pediatric Pneumonia

Sequence-Agnostic MRI Segmentation of Pediatric Renal Tumors for Postoperative Flank Irradiation

Modeling Cardiac Normality for Neonatal CHD Screening on a Portable Single-View Device: Challenges of a Small-Sample Pediatric Pilot

Data-Efficient Pediatric Demyelinating Lesion Segmentation with Cross-Age Lesion Augmentation and Trustworthy Predictions

Transformer-Based Manifold Modeling of Novel Image Quality Metrics For Pediatric Brain MRI

Enhancing Clinically-relevant Quality Control Through Automated Segmentation Performance Prediction

Ordinal regression of Robarts histopathology index for pediatric inflammatory bowel disease

REG2026

Schema-Guided Tree-Structured Reasoning for Whole-Slide Pathology Workflows

Decoupling Structure from Perception: A Deterministic-DAG Report Generator with Leak-Fair Cross-Site Recognition for Computational Pathology

Slide-Impression-Guided Modular Reasoning for Pathology Report Generation

Multi-Scale MIL and Multi-Modal Large Language Modeling for Pathology Workflow Reasoning and Visual Grounding

SlotPath: Structured Slot Prediction and Retrieval for Reasoning-Guided Pathology Reporting

PathChain: Reproducing the Pathologist’s Diagnostic Workflow from Whole-Slide Images

Grounded Ontology Walker: Interpretable Diagnostic Reasoning and Report Generation for Whole Slide Images

Diagnosis-Conditioned Retrieval for Structured Pathology Workflows

Diagnostic Pathology Reporting and Reasoning via Autoregressive and Retrieval-Based Chain-Of-Thought

PRG-RGen: Pathologist Reasoning-Guided Report Generation on WSIs via Multimodal LLMs

Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows

A Branch-Aware, Confidence-Gated Reasoning Framework for Whole Slide Images

Diagnosis-Grounded Structured Decoding for Pathologist Reasoning-Trajectory and Report Generation

Graph-Constrained Visual Grounding for Pathology Reasoning

Ensembled Foundation-Model Pipeline for Reasoning-Guided Pathology Report Generation: A REG2 Challenge Submission

Reporting Without Generating: Retrieval-Based Chain-of-Thought Answering for Pathology

Structured Context Rendering for Consistent Pathology Workflows and Reports from Whole-Slide Images

Reasoning as Retrieval: Template-Grounded Chain-of-Thought Report Generation from Whole-Slide Images

Faithful Per-Task Attention for Chain-of-Thought Whole-Slide Pathology Report Generation

RHEUM-AI

RASH: Rheumatoid Arthritis Synthetic Hand Dataset for Joint-Level Inflammation Estimation

Augmenting the Grey Zone: Generative Models for Ambiguous Kellgren–Lawrence Grade Boundaries in Knee Osteoarthritis

Prototypical Severity Representation Learning for Automated Calcium Pyrophosphate Deposition Disease Assessment

Ordinal DINOv2 Transfer for Joint-Level SvdH Scoring: What Helps and What Does Not

Why Isolated Joint Views Limit Bone-Erosion Segmentation on Hand Radiographs

Towards Multi-Task Ordinal Grading of Knee Osteoarthritis and Calcium Pyrophosphate Deposition Using Vision Foundation Models

Advantages and limitations of applying ML techniques in medical data analysis, illustrated with X-ray imaging

Interpretable Counterfactual Simulation of Knee Osteoarthritis Progression from qMRI Biomarkers

RIME

TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction

End-to-end Adaptive k-space Sampling, Reconstruction and Registration for Dynamic MRI

Self-Supervised Multi-Contrast MRI Reconstruction via Permutation-Driven Contrast Invariance

A Hierarchical Patch-wise Wavelet Loss for High-Frequency Detail Preservation in Accelerated MRI Reconstruction

FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound

An Anatomy-Driven Thoracic Respiratory Motion Model with Population-Calibrated Presets

Adaptive Prior-Guided Cold Diffusion for Accelerated MRI Reconstruction

Generative Priors for Total-Body PET Reconstruction

Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction

CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI

3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction

Domain-Adapted Bi-Planar RAFT for Dense 3D Cardiac Motion Estimation

STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising

Contrast-Reversal Augmentation for Adult-to-Neonatal MR Image Reconstruction: Pretraining and Fine-Tuning Strategies

SAFER

When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning

MeVisQA: Medical Visual Question Answering via Visual Programming

Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding

Faithful Reasoning, Not More Reasoning: Chain-of-Thought Ablation for Tuberculosis Findings in Indonesian Chest X-Rays

CORTEX: A Structured Reasoning Benchmark for Trustworthy 3D Chest CT MLLMs

Priors Over Pixels: Present-Bias in Organ-Presence Grounding for Medical VLMs

Robustness Evaluation of Surgical Medical Visual Question Answering Models Under Textual Perturbations

EviCal-RR: Evidence-Calibrated Reasoning for Contactless Respiratory Monitoring

CADRE: Stable, Parameter-Efficient Adaptation of Medical Vision-Language Models with Bounded Forgetting and Prior Drift

SASHIMI

RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation

DRIFT: Dual-Distillation Reference-Free One-Step Image Flow for Brain MRI Through-Plane Super-Resolution

nnDiffusion: A Standardized 3D Diffusion Framework for Medical Image Synthesis

Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching

∆-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge

Few-Shot Flow Matching with Stochastic Barycentric Sampling for Image Synthesis

SymmAdapt: Symmetrical Flow Matching for Source-Free Domain Adaptation in Medical Image Segmentation

MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation

Evaluation of Clinically Steerable Retinal Image Generation from Foundation Model Latent Spaces

CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training

CytoSyn: a Foundation Diffusion Model for Histopathology Image Synthesis

Synthesizing CT-based Functional Lung Ventilation Map: A Comparative Study of Generative Models for Image-to-Image Translation

Regulate, Modulate, Differentiate: Towards Modelling Subtle Changes in Longitudinal Multiple Sclerosis MRI

OTLesMix: Wasserstein Barycenter and Optimal Transport Map for Synthetic Lesion Generation with Diverse Shapes and Locations

Beyond Visual Realism: The Neuro-Fidelity Index for Validating Geometric Integrity in Synthetic Brain MRI

Reverse Spatio-Temporal Disease Progression Modelling

Any-to-One CT Kernel Conversion without Source-Kernel Data

Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

SonoSPADE: Real-Time, Per-Tissue Ultrasound Texture Synthesis for Closed-Loop Acquisition

DisMorph: learning to disentangle technical distortions from true biological change

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

Relative Loss Balancing for High-Fidelity Synthetic CT Generation in the Abdomen

LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Does FLAIR super-resolution erase or hallucinate small white-matter lesions?

A Latent Single-Step Network is Sufficient for Accurate CBCT-CT Translation

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

Virtual Patients, Real Gains: Simulated CT from Digital Twins for Multi-Task Lung Nodule Analysis

MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

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

Synthetic training for long-tail haemorrhagic lesion segmentation in data-scarce settings

Realistic Synthetic Data for Annotation-Free Pretraining in Liver Vasculature Segmentation

RECON: Restoration-Guided Conditioning for Thin-Structure-Coherent CT Super-Resolution

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

Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model

Synthetic Data Augmentation via Stable Diffusion for Polyp Characterisation in Colon Capsule Endoscopy

Simulating the Radiological Appearance of Focal Cortical Dysplasia in MRI

STACOM

FDW-Net: Frequency-Decoupled Wavelet Network for Atrial Segmentation in Cardiac MRI

MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI

Generative Brownian Bridge Diffusion In Motion Space For Enhanced Myocardial Strain Analysis

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

MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography Videos

Conditional 3D Shape Synthesis of the Left Atrial Appendage via Discrete Latent Diffusion

Learning from Acquisition: Metadata-driven Multimodal Pre-training for Cardiac MRI

Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

IVUS Plaque Characterization Descriptors Carry FFR Information Beyond Morphology in Borderline Lesions

Silent Failures of Right-Ventricular Ejection Fraction at High Segmentation Overlap: Evidence from Multi-Vendor Cardiac MRI

TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

Automated Reconstruction of Patient-Specific 3D Bi-Atrial Meshes from Sparse 2D Cine CMR

Beyond Volume Overlap: Surface Matching for Topology-Aware Coronary Artery Segmentation

TT3D: Triangular Transport for 3D Left Ventricle Reconstruction

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

Beyond the Left Atrium: Joint Generative Modeling of Bi-Atrial Anatomy

Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification

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

Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Data

ECG-Based Prediction of Patient-Specific Myocardial Conduction Velocity with Electroanatomical Mapping Supervision

SynSeq: End-to-End SYNTAX Score Prediction from Coronary Angiography Videos

GeodVessel: A Geodesic Cost-Map Framework for Refining Coronary Vessel Connectivity

Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction

3D Left Ventricular Modelling and Quantification from 2D Echocardiography Using Automated View Positioning

Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac T2 and T1ρ MRI

A Neural Implicit Cardiac Atlas with Clinically Readable Subject Embeddings

GRC-ProbNet: Uncertainty-aware feature extraction for cardiovascular disease classification

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

Multi-Stage Vascular Deformation Mapping in Extracranial Carotid Aneurysms

Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

MyoUV: Learning Canonical UV Surface Fields for Sparse SAX Myocardial Reconstruction

Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound

Cardiac Shape-Derived Endophenotypes and Covariant Correction using Statistical Motion Atlases

ViPS-FSL: Virtual-Patient Densification via Latent Space Co-Translation for Robust Few-Shot Cardiac MRI Segmentation

Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

Automated Detection and Shape Analysis of Mitral Valve Prolapse and Annular Disjunction in the UK Biobank

Characterising cardiac tissue properties with graph neural networks

Deep Learning Helix Angle Estimation via Rule-based Pre-training and cDTI Fine-tuning

Continuous Volumetric Cardiac Motion Modelling for Analytical Derivatives from Cine MRI

SWITCH

X-LMC: Cross-View Spatiotemporal Collateral Circulation Scoring from DSA

Machine Learning for Stroke Outcome Prediction: Comparing Tabular Models to Clinical Scores on IST

PROFIT: Prototype-Guided Few-shot Inference and Transfer for Multimodal Stroke Diagnosis

VesselBridge3D: A Foundation Model Adaptation Framework for Label-Efficient 3D Vessel Segmentation

Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head

Projection-Based Quality Assessment of Cerebrovascular Segmentations

Arterial Change Detection in Cerebral Digital Subtraction Angiography

Territory-Coupled Foundation Model Adaptation for ASPECTS Scoring on Non-Contrast CT

Decoupled Node Localization and Edge Assignment for Vascular Graph Reconstruction

Infarct Core Segmentation on Spectral CT Angiography using a Data-Uncertainty-Aware U-Net

Contrastive Alignment and CT-Guided Distillation for Ultrasound-Only Intracerebral Hemorrhage Screening

An Automated Framework for Synthetic Neurovascular Fluoroscopy Generation and Stent Retriever Segmentation

Uncertainty-Guided Hierarchical Textual Modeling for Perivascular Space Segmentation

An Imaging-Informed Reaction-Diffusion Model of Infarct Growth

Area-guided latent coherence for post-hoc segmentation quality assessment in stroke imaging

ShapeMI

AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning

Exploring the Influence of Prenatal Alcohol Exposure on Face Shape and Brain Development

Landmark Detection Supported by Anatomy Segmentation and Geometric Constraints

Learning to Reconnect: Graph-based Path Classification for Restoring Retinal Vessel Segmentation Connectivity

On the Viability of Semi-Supervised Segmentation Methods for Statistical Shape Modeling

Spherical RePaint: Label-Reusable Diffusion-Based Augmentation for Parcellation

SPVR: Explicit Shape-Prior-Guided 3D Vertebral Reconstruction from Orthogonal Projections

Mind the Gap: Mesh-Guided Repair of Broken Vessels

A Joint 2D–3D Statistical Shape Model for Orthopedic Reconstruction

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

What Does Anatomical Shape Know About You? A Multi-Organ, Shape-Only Study of Demographic Prediction, Attribution, and Privacy

Predicting the Progression of Adolescent Idiopathic Scoliosis

Deep Shape Regression for Planar Curves with Multimodal Covariates

ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion

Segmentation and keypoints transfer for volumetric medical shapes via functional maps

PanVasc: A Shape-Aware Framework for Peripancreatic Vascular Invasion Assessment in Pancreatic Ductal Adenocarcinoma

Extending the Evolutionary Skeletal Representation to the Cerebral Cortex Anatomy

BlendNet: on the Importance of Accurate Local Pre-Registration in the Image Registration Task

Medial Skeletons for Haustral Fold Detection in Colonoscopy

Learning the Marfan Face: A Conditional Mesh VAE for Explainable Screening and Synthetic Generation

Disentangled Geometric Variational Learning of Normative Pediatric Development from Anatomical Surface Representations of Patients with Pathology

Cardiac Shape Priors for Equivariant Neural Field Representations of Cine MRI

TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

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

Interpretable Obstructive Sleep Apnea Screening from MRI-Derived Upper-Airway Surface Morphology with Class Node Graph Attention Networks

KneeFlow: A Flow Matching Framework for Patient-Specific Knee Reconstruction

Multiscale Wave-Shaping Neural Encoding with Cross-Attention Networks for 3D Organ Reconstruction and Generation

Rethinking Sequence Modeling on Cortical Surfaces: Robustness, Spatial Ordering, and Resolution in Infant Brain Age Prediction

An Implicit 3D Face and Palate Shape Model for Infant Orofacial Clefts

NO2SSM: A Discretization-Invariant Neural-Operator Approach to Statistical Shape Modeling

Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification

Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings

Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification

Mixture of Experts for Fine-Grained Shape Refinement in Medical Segmentation

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warping

SynthOCT

SynthOCT Challenge: Introduction and Brief Overview

Speckle-Phase Refinement on an Exact Differentiable Scanner Twin for Inverse OCT Phantom Generation

Phase-Pair Holographic Inversion for OCT Digital Phantom Synthesis

Coherent Differentiable Inversion for High-Fidelity Digital Phantom Generation in Optical Coherence Tomography

TIA

Quantification of Parenchymal Abnormalities Using a Statistical Model of Lung CT Density

Cupido Loss for Structure-Aware Pulmonary Airway and Artery Segmentation

PE-QUEST: QUality ESTimation-driven Sample Selection for Pulmonary Embolism Segmentation

CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction

Pulmonary Artery-to-Aorta Ratio Estimation via Landmark-Guided Orthogonal Slicing

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

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

Anatomy-Aware MAE Pretraining for Generalizable Coronary Artery Segmentation

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

3D-4C-SegNet: Four-Chamber Segmentation and LVEF Calculation in 4D Echocardiography

TrICON: Learning Diffeomorphic Lung CT Registration through Triplet Consistency

Interpretable Region-wise Gated CT–Ventilation Fusion for FEV1 Prediction in COPD

X2V: Deformable 2D/3D Registration from Intraoperative X-ray to Volume via Motion Manifold Learning

Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT

An automated segmentation model for Mucus Plug quantification in Chest CT

Prompt-Guided Target-Lesion Segmentation of Infectious Pulmonary Nodules: Model Benchmarking and Localization-Effort Analysis

Deep Learning for UIP Detection in HRCT Scans: A Comparative Evaluation of Input Representations, Feature Extractors, and Aggregation Strategies

Deep Learning Correction of Respiratory Motion Artifacts in 4DCT

ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT

Deep Learning Classification for Rare Pulmonary Infection Differentiation in Immunocompromised Patients: A Data-Limited Study

Generic or Domain-Specific? Foundation Models for Annotation-Efficient ILD Segmentation

Minimum-Cost Path Framework for 3D Airway Centerline Extraction

Deep Learning-Based Synthesis of Hyperpolarized Gas MRI Lung Ventilation from Multi-Inflation Proton MRI: A Comparison of CNN, GAN and Transformer Architectures

Scene-Graph Contrastive Pretraining with Concept-Based Hard Negatives for Radiology Report Generation

Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentation

TREAT-MMTB

CaviFusionNet-T1: A Multi-Branch Ensemble for Pulmonary Cavity Detection and Segmentation in the TREAT-MMTB 2026 Challenge

Detection-Gated Cavity Segmentation on Chest X-rays with Vision–Language Pretraining

Generalizable Tuberculosis Classification on Chest X-rays through Multi-Source Curation and Model Ensembling

Class-Weighted Metadata-Aware Ark+ Fusion for Multimodal Tuberculosis Classification

Morphology-Informed Deep Ensemble Learning for Pulmonary Cavity Detection and Segmentation on Chest X-Rays

GO-CavNet: Ordinal-Supervised, Detection-Gated Cavity Segmentation for Tuberculosis Chest Radiographs

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

Global-to-Local Segmentation and Context-Aware Detection of Tuberculosis Cavity in Chest X-rays

Domain-Aware Tuberculosis Screening with a LoRA-Adapted Chest X-Ray Foundation Model

RADAR: Acquisition-Adversarial Attention Pooling over a Frozen Chest-Radiograph Foundation Model for Tuberculosis Screening

Prevalence-Aware Rank Fusion for Tuberculosis Cavity Detection and Segmentation

TopAneu

Anatomy-Aware Intracranial Aneurysm Analysis with Vessel-Guided Dual-Decoder Multi-Task Learning

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

Vessel Segmentation and Anatomically Informed Rule-Based Localization of Intracranial Aneurysms

An Anatomy-Aware Staged Pipeline for Vessel-Specific Intracranial Aneurysm Segmentation in CT and MR Angiography

Vessel-Aware Multi-Task 3D U-Net for Vessel-Specific Intracranial Aneurysm Classification and Segmentation

Vessel-Guided Aneurysm Localization and Segmentation for TopAneu 2026

UNSURE2026

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

Beyond Dice: A Reliability-Oriented Evaluation of Geometric Test-Time Augmentation in Medical Image Segmentation

From Generation to Decision: Structure-Aware Reliability for Cardiac MRI Reporting

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

Image Segmentation Calibration Based on Estimated Segmentation Quality

Not All Errors Are Equal: Threshold-Aware Loss Functions for Opportunistic Osteoporosis Screening

Geometric Diversity: Mixed-Curvature Heads as a Substitute for Ensemble Independence

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

Subgroup-Dependent Report-Label Noise Distorts Fairness Audits of Chest X-ray Classifiers: A Prediction-Powered Correction

Uncertainty Estimation in Deep Learning MRI Reconstruction with Focus on Pathologies

Beyond Morphological Dilation: Revisiting Conformal Prediction for 3D Tumor Segmentation

Example-based Explainable Selective Classification with Graph Neural Networks for Urinary Sediment Examination

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

Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping

Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Well-Calibrated but Unusable: Calibration Error Does Not Certify Zero-Shot Chest X-Ray VLMs

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

Does Inter-Rater Variability Matter? Preclinical MRI Tumor Segmentation and Downstream Analysis

A Principled Approach to Unsupervised Anomaly Detection

Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

Foundation Model and Radiomics Distance Scores for Post-Hoc Segmentation Failure Detection

Beyond Uncertainty: Generalizable Failure Monitoring for Surgical Segmentation under Acquisition Degradation

SegWithU: Deterministic Perturbation Probes for Single-Backbone-Pass Risk-Aware Medical Image Segmentation

Layer Selection in VLMs for Zero-Shot OOD Detection via Multi-Resolution Entropy Estimation

Uncertainty Identifies Difficult Samples Across Methods: A Multi-Task Study on a Heterogeneous Skin Lesion Dataset

Confidence-Tiered Quality Control for Reliable Radiomic Biomarkers in Multicentre PET-CT

Quantile regression enables reliable, uncertainty-aware endoscopic scoring in ulcerative colitis clinical trials

Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection

When Voxels Are Not Equal: Spacing-Driven Metric Bias and Metric Uncertainty in Segmentation

Predictive Entropy as a Joint Screen for Error and Paraphrase Instability in Medical Vision-Language Models

FetalEDL: OOD-Aware Evidential Deep Learning for Reliable Fetal Ultrasound Plane Classification

Explanation Uncertainty in the Classification of Pulmonary Nodules

Complementary Reliability Axes for Aortic CTA Segmentation: An Empirical Audit

Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR

Beyond Mean Uncertainty: Case-wise AUSE for Detecting Failures in 3D Pelvic Tilt Estimation from a Single AP Radiograph

Sequential Conformal Safety for Trustworthy Clinical Decision Pathways in Ophthalmology

Uncertainty-Aware Bone Age Assessment: Analysis of Conformal and Bayesian Methods

Label-Free Threshold Selection for Out-of-Distribution Detection in Liver CT Segmentation

cdmri

Experimental Study of the Impact of Virtual Reality on Fiber Bundle Editing and Annotation

Spatial Masked-Set Learning for Sparse Multi-Shell Diffusion MRI Signal Synthesis

AdaViT: Adaptive Viral Tracing Informed Tractography

DiffBench: A Benchmark Toward Reproducible Evaluation in Diffusion MRI Prediction

In-Plane Super-Resolution: A Feasibility Study

Towards Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections

Region-Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan

Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks

Segmentation-Conditioned Latent Diffusion for Prostate High-b-value DWI and ADC Synthesis

Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology

iMIMIC

Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion

Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment

A Probabilistic Source-Free Domain Adaptation Method for Concept Bottleneck Models

Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

RESHAPE: Representation Learning for the Explainability of Shapes

Spatial Message Passing in Language Space for Pathology Image Interpretation

Recursive Uncertainty-Gated Image Registration for Learning-Based Algorithms

How Well Do Chest X-Ray VLM Attention Overlays Match Radiologist Boxes? A Cross-Model Audit and Radiologist Reader Study

Less Annotation, More Interpretation: Prior-Guided Concept Bottleneck Models for Interpretable Cancer Imaging Diagnosis

Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study

When Saliency Over-Credits Anatomy: Token-Level Evidence Flow in Frozen Medical Vision Transformers

Towards Interpretable Foundation Models for Retinal Fundus Images

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

SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs