List of Papers
- • 3D Cerebrovascular Shape Completion from Biplane Angiography and CTA Prior
- • 3D Classification of Paramagnetic Rim Lesions in Multiple Sclerosis via Asymmetric QSM–FLAIR Modeling
- • A 3D Unrolling Framework for Joint Sodium MRI Reconstruction and Concentration Quantification
- • A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management
- • A Confounder-aware Representation Learning Framework for Alzheimer’s Disease Classification
- • A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics
- • A Deep Learning Surrogate Model for Microwave Thermal Ablation: From Preoperative Planning to Intraoperative Re-planning
- • A Flexible Structure-Guided Feature Aggregation Paradigm for Efficient Vascular Representation
- • A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
- • A Heterogeneous Prognosis Prediction Framework with Global Brain Connectivity and Local Image Features
- • A Hierarchical Multi-Task Framework for Dementia Diagnosis via Pathological Feature Learning from Multi-Organ Data
- • A Modality-Aware Mixture-of-Experts Framework for Clinical Multimodal Breast Ultrasound Diagnosis
- • A Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT
- • A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring
- • A Multi-view, Hybrid, Hypergraph Learning Framework with Causal Perturbation for Early Alzheimer’s Disease Diagnosis
- • A Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning
- • A Real-World Evaluation of Failure Detection for Liver CT Segmentation
- • A Unified Few-Shot Framework for Multi-Atlas Neuroimaging Segmentation Leveraging Vision Foundation Models
- • A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces
- • A Versatile Prompt-Driven Framework for Brain Segmentation, Parcellation, and Surface Reconstruction from Diverse Modalities
- • AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation
- • ACA: Post-hoc Adaptive Logit Alignment for 3D Medical Image Segmentation
- • Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG
- • ACMap: Across-scales Connectivity Mapping of Primate Brain
- • AC-MIL: Weakly-Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement
- • Active Evaluation-Induced Graph Network Based Medical Hyperspectral Image Classification for Tumor Diagnosis
- • Active Source-free Domain Adaptation in Open-set Medical Image Segmentation via Decomposed Uncertainty and Prototype Discrepancy
- • AdaBIMBA: Adaptive Token Compression for Long Endoscopy Video Understanding
- • ADAPT: Adaptive Profiling Transformers for Efficient Alzheimer’s Disease Diagnosis
- • Adapting Ordinal-Risk Alignment for Clinically Safe Diabetic Retinopathy Grading
- • Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation
- • Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation
- • AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis
- • Addressing Gradient Conflicts in Multimodal Fundus Disease Recognition with Fusion-Guided Learning
- • Addressing Tissue and Appearance Heterogeneity in Text-Guided Few-Shot WSI Classification
- • AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models
- • AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction
- • Age Conditional Longitudinal Forecasting of Adolescent Functional Connectivity via Brownian Bridge Diffusion Models
- • AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction
- • Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment
- • AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification
- • AHPR-Net: Anatomy-aware Hierarchical Prompting Refinement Network for Spine Image Segmentation
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• AI-Driven Pulmonary Congestion Assessment for Lung Ultrasound via Segmentation-Guided Transformers
- Fooladgar, Fahimeh; Krishnaswamy, Deepa; Ungi, Tamas; Dinh, Viet; Jin, Mike; Alves, Matheus; Schissel, Caroline; Puducheri, Shreyas; Misawa, Shuhei; Duhaime, Erik; Hallisey, Stephen; Duran Mendicuti, Alejandra; Duggan, Nicole; Abolmaesumi, Purang; Harrison, Nicholas; Goldsmith, Andrew; Kapur, Tina;
- [PDF] [Paper Information and Reviews] [bibtex]
- • ALFA: Biplanar X-Ray Reconstruction via Anatomy-Latent Field Adaptation
- • Aligning Prototypes and Updating Null Spaces for Continual WSI Learning
- • All-in-One Augmented Reality Guided Head and Neck Tumor Resection
- • ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis
- • AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation
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• An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing
- Zuo, Lianrui; Liu, Yihao; Rudravaram, Gaurav; Ramadass, Karthik; Krishnan, Aravind R.; Phillips, Michael D.; Bodien, Yelena G.; Patel, Mayur B.; Trujillo, Paula; Forero Martinez, Yency; Deppen, Stephen A.; Grogan, Eric L.; Maldonado, Fabien; McGann, Kevin; Holmes, Hudson M.; Cutting, Laurie E.; Huo, Yuankai; Landman, Bennett A.;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion
- • Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors
- • Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization
- • Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
- • Anatomy-Aware Hierarchical Multiple Instance Learning for Interpretable COPD Diagnosis and Phenotype Analysis
- • Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT
- • Anatomy-Aware Reverse Symmetric Self-paced Learning for Prostate Cancer Detection
- • Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints
- • Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation
- • Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-view Matching
- • Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis
- • Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays
- • Anatomy-Texture Aware Safe Gradient Guidance for Source-Free Domain Adaptive Echocardiography Video Segmentation
- • Angio-Stitch: An Unsupervised Coarse-to-Fine Framework for Sequential Stitching of Confocal Laser Endomicroscopy Images
- • Angular-Constrained Hyperbolic Learning for Hierarchical Multimodal Survival Prediction
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• Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration
- Yang, Qianye; Yang, Yingyu; Wang, Yipei; Hu, Yipeng; Peng, Can; D’Alberti, Elena; Salovic, Bojana; Iriondo-Coysh, Amaya; Tsai-Goodman, Beverly; Carvalho, Julene; da Silva Costa, Fabricio; Savvidou, Makrina; Patey, Olga; Papageorghiou, Aris T.; Noble, J. Alison;
- [PDF] [Paper Information and Reviews] [bibtex]
- • AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis
- • APEX-SAM: Anatomy-Aware Prompting with Expert Retrieval for Training-Free Medical Image Segmentation
- • ARCH-Net: Aligned 3D Teeth Reconstruction via Counterfactual-Enhanced Hierarchical Framework
- • Are Foundational Models Less Biased Than Specialized Models? An Ultrasound Study
- • Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization
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• Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation
- van Voorst, Henk; de Wilde, Daniel; Canals, Pere; Schwartz, Maya; Kesten, Jamie; Konduri, Praneeta R.; Zamarud, Aroosa; Jiang, Bin; Christensen, Soren; Kim, Donghoon; Liu, Yongkai; Albers, Greg; Sharma, Gagan; Parsons, Mark; Zaharchuk, Greg; Lansberg, Maarten; Heit, Jeremy;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Artifact-aware Prompt Learning for Domain Generalization
- • ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora
- • AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression
- • Asym-MSF: Asymmetric Multi-scale Structural Fusion for Robust BCVA Prediction with Self-supervised Fidelity Constraints
- • AsynDiff: Asynchronous-Timestep Diffusion with Noise-Aware Attention for Multi-sequence MRI Synthesis
- • AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation
- • Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants
- • Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation
- • Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection
- • Attribute-Aware Federated Learning with Pseudo-Bag Augmentation for Multi-Center WSI Classification
- • AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection
- • Automated Disentangling Analysis of Skin Colour for Lesion Images
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• Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI
- Khodakarami, Zahra; Emrani, Sheina; Khandelwal, Pulkit; Athalye, Chinmayee; Denning, Amanda; Trotman, Winifred; Levorse, Lisa M.; Teunissen-Bermeo, Eric; Radhakrishnan, Hamsanandini; Ohm, Daniel T.; Olm, Christopher; Capp, Noah; Ittyerah, Ranjit; Prabhakaran, Karthik; Detre, John A.; Das, Sandhitsu R.; Wolk, David A.; McMillan, Corey T.; Tisdall, M. Dylan; Irwin, David J.; Robinson, John L.; Lee, Edward B.; Yushkevich, Paul A.;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging
- • Automatic LV Localization and Short-Axis Plane Estimation from Arbitrary CMR Slice
- • B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy
- • Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking
- • Bayesian Topological Analysis of Brain Networks
- • BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery
- • BC-MultiSet: A Multi-target Dataset and Benchmark for Clinical Tasks in Breast Cancer
- • BDFR-Net: Boundary-Aware Dual-Domain Feature Reconstruction Network for Fetal Ultrasound Image Segmentation
- • Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores
- • Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias
- • Benchmarking Pathology Foundation Models for Spatial Domain Understanding
- • Benchmarking Video Foundation Models for Remote Parkinson’s Disease Screening
- • Better Said Than Seen: Exposing and Mitigating Modality Collapse with ICD-11-Grounded Evaluation
- • Beyond Clean Test Sets: Spurious Correlations in Medical Vision-language Models and the Role of Concept Supervision
- • Beyond Landmarks: Anchor-Guided Orientation Regression for Robust Spinopelvic Measurement
- • Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography
- • Beyond the Batch: Momentum-Updated Virtual Cohorts for 3D PET-CT Prognosis
- • Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation
- • Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection
- • BiC-ODE: Bidirectionally Coupled Neural ODEs for Rapid Laminar Surface Reconstruction of the Human Cortex from 5T MRI
- • Bidirectional Anatomy-Aware Post-Training for Longitudinal Chest X-Ray Progression Modeling
- • BIGUS: Beam Integrated Gaussian Scattering for Continuous Ultrasound View Synthesis
- • BiM-GeoAttn-Net: Linear-Time Depth Modeling with Geometry-Aware Attention for 3D Aortic Dissection CTA Segmentation
- • BioFact-MoE: Biologically Factorized Mixture of Experts for Vision–Language Prognostic Modeling in Hepatocellular Carcinoma
- • BioFlow: A Biologically Valid Support-Preserving Flow for Histology-Conditioned Spatial Transcriptomics Prediction
- • BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment
- • BioGuide: Biomedically-Guided Segmentation for Medical Tasks
- • BiSA-DiT: A Bidirectional Spatially-Aware Diffusion Transformer for Sparse Tomographic Magnetic Particle Imaging
- • Boosting Ultrasound Image Classification via Attribute-Guided Dual-Branch Framework
- • Born Different: A Multi-level Individualized Modeling Framework for Embryo Euploidy Prediction
- • Boundary-Aware Multi-Granularity Learning for Depression Severity Estimation
- • BRAIN: Bi-directional Motion Reasoning with Dynamic Memory Pruning for Surgical Video Segmentation
- • BrainACU: Asynchronous Coordination Unit Modeling for Dynamic Brain Network Analysis
- • Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies
- • BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability
- • Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining
- • BrainHTF: Learning Causal Graph Representation of Brain Connectome with Hyperbolic Transformer
- • BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use
- • Brain-Specialized Self-supervised Learning: Neuroanatomy-Aware Spatial Priors for 3D Brain MRI
- • BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling
- • Brain-TM: Decoding Brain States from Functional Networks Using a Hierarchical Spatiotemporal Transformer-Mamba
- • BrainWeaver: Weaving Dynamic Brain Networks with ROI-Guided Attention for Cognitive Assessment
- • Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning
- • Breaking Teacher’s Mean Regression Bias: Boundary-Aware Contrastive Distillation for Endoscopic Super-Resolution
- • BREIT: A Framework for Brain Stroke Reconstruction using Multi-frequency 3D EIT
- • Bridging EEG to fMRI: Semi-Supervised Functional Connectivity Translation via Latent Alignment
- • Bridging Heterogeneous Medical Datasets via Mixture-of-Specialists Adapters for Unified Medical Image Classification
- • Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification
- • Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks
- • Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration
- • Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images
- • B-spline Activations as Intrinsic Uncertainty Estimators in Medical Image Segmentation
- • C²RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation
- • CAG-WM: A Synthetic-Data-Driven Coronary World Model for Autonomous Guidewire Navigation
- • CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification
- • CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs
- • CALHippo: Cell Segmentation for Neuronal Density Inference in the Human Hippocampus
- • Calibrated Confidence Expression for Radiology Report Generation
- • CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification
- • CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data
- • Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study
- • Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs
- • Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images
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• CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening
- Li, Wenxuan; Bassi, Pedro R. A. S.; Zhou, Xinze; Wasserthal, Jakob; Hamamci, Ibrahim E.; Er, Sezgin; Menze, Bjoern H.; Akan, Gulhan E.; Płotka, Szymon; Prządo, Jakub; Chen, Qi; Tang, Yucheng; Xu, Daguang; Sitek, Arkadiusz; Wang, Kang; Yang, Yang; Yuille, Alan L.; Zhou, Zongwei;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Cardiac Motion Transfer with Adaptive Physics Constraint
- • CardiacPULSE: Frequency-Aware Self-supervised Cardiac Phase Detection in Echocardiography
- • CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis
- • CardioGS: Deformation-Driven 4D Gaussian Splatting with Self-supervised Cardiac Clock Learning for Rotational DSA Reconstruction
- • CARE: Clinically Aligned Retrieval Evidence for Consistent Radiology Report Generation
- • CARE: Confidence-Aware Reasoning for Reliable Medical VQA
- • CARformer: Class-Aware Representation Learning for Small-Cohort, Imbalanced Psychiatric Disorder Classification in Brain MRI
- • Case-Specific Priors-Guided Multimodal Fusion for Prognosis Prediction in Head and Neck Cancer
- • CDFP-Net: Cross-Modal Dynamic Fusion with Diffusion Priors for PET-CT Tumor Segmentation
- • CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection
- • Cell-Division-Aware Category-Enhanced Contrastive Learning Model for Embryonic Cleavage Stage Classification
- • Cervical Vertebral Maturation Staging from a Continuous Perspective
- • CerviThink: A Reinforced Visual Reasoning Framework for Cervical Cancer Cell Classification
- • CheXanatomy: Anatomy–Aware Vision–Language Modeling for Chest Radiographs
- • CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment
- • ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis
- • CIGTSurv: Clinical Information Guided Tri-Modal Survival Prediction with Local Prototype Association and Global Feature Alignment
- • CiLA: Knowledge-Preserving Self-supervised Adaptation of CLIP for Fundus Imaging
- • CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI
- • CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness
- • ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models
- • Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction
- • Clinically Structured Chain-of-Thought Reasoning for Intelligent Guidance in Coronary Artery Disease
- • Clinically-Grounded Hierarchical Classification for Consistent Chest X-ray Interpretation
- • ClinLoop: Human-AI Collaborative Agents for Multimodal Breast Cancer Diagnosis Under Incomplete Clinical Data
- • ClinRAG-GRAPH: Clinical-Prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction
- • CMD-AD: Cross-Modality Distillation from fMRI-EEG for Single-Modality Alzheimer’s Disease Diagnosis
- • CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation
- • Coarse-to-Fine Meta-Reweighting with Dynamic Retrieval for Adult-to-Pediatric Domain Adaptation in Tumor Segmentation
- • COAST: Context-Aware Differential Learning for Gene Expression Prediction in Spatial Transcriptomics
- • CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults
- • CoGE: Sim-to-Real Online Geometric Estimation for Monocular Colonoscopy
- • Collaborative Multiscale Representation Learning for AMD Detection
- • Collaborative Topology and Connectivity Learning for EM Neuron Segmentation
- • Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
- • Community-Aware Dynamic Graph Learning for Brain Disorder Diagnosis
- • Co-MoCo: Collaborative Learning Enabled Motion Compensation for Weight-Bearing CBCT
- • Comparative Analysis of Automated Frame Selection Methods for Glaucoma Detection in Smartphone-Based Low-Quality Fundus Video
- • Compass: Prostate Cancer Detection Needs Multi-view Context
- • Computer-Assisted Intervention in Capsule Endoscopy: A Real-Time Edge-AI Auditing System
- • Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings
- • ConceptIL: Concept Incremental Learning for Interpretable Medical AI
- • Conditional Diffusion Prompting for Ambiguous Medical Image Segmentation
- • Conditional Latent Diffusion Model with Fourier-Based Motion Modelling for Virtual Population Synthesis
- • Confidence-Aware Supervision for Robust Multi-task Embryo Grading
- • Conformal 3D Lesion Segmentation with Balanced Risk Control
- • Confusion-Aware Evidence Calibration for Few-Shot Whole Slide Image Classification
- • CONNECT-4: Brain Connectivity-Guided Hyperedge Graph Fusion for Structural MRI to 4D Rest Functional MRI Synthesis
- • ConnecToMind2: Inter-Subject fMRI Decoding via Whole-Brain Connectome-Guided Alignment
- • ConstTrack: Constellation-Guided Cell Tracking Under Lineage Constraints
- • ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-domain Virtual IHC Staining
- • Contrast-Invariant Reference-Based Slice Thickness Estimation in MRI via Spectral Matching
- • Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics
- • Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos
- • Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification
- • Controllable Histopathology Image Synthesis with Training-Free Structural Initialization and Textural Modulation
- • ConVL: Interpretable Concept-Guided Vision-Language MIL for Survival Analysis in Whole Slide Images
- • CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment
- • CortexAdapt3D: Parameter-Efficient Fine-Tuning of General 3D Foundation Models for Cortical Surface Analysis
- • CoSim: Unleashing Eye Movements for EEG-Free Emotion Recognition via Conditional Prompting and Similarity-Guided Augmentation
- • Counterfactual Anatomy-Guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medical VLMs
- • Counterfactual Contrastive Analysis
- • Counterfactual Stress-Testing for Fixing Lung Cancer Segmentation Models
- • CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association
- • CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification
- • CPS4: Class Prompt Driven Semi-supervised Spine Segmentation with Class-Specific Consistency Constraint
- • CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
- • Cross-Cancer Expert-Routing Knowledge Transfer in Federated Prognosis Prediction
- • Cross-channel Consistent Mamba for Extreme Limited-View Photoacoustic Tomography Reconstruction
- • Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis
- • Cross-Modal Alignment and Distillation for Retinal Imaging Dementia Screening
- • Cross-Modal Concept Transfer: From ECG Signals to Images for Explainable Disease Prediction
- • Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification
- • Cross-Modal Prediction of DNA Methylation from Histology Images
- • Cross-Surface Representation Learning for Accurate Gingiva Prediction in CBCT
- • CrownFusion: 3D Dental Crown Generation Using Geometry Images and Latent Diffusion
- • CSAM-HQ: A Multi-stage Refinement Framework for Surgical Instrument Segmentation based on SAM and Probabilistic Graphical Models
- • CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts
- • CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images
- • CT2-DiT: Enabling Abdominal Non-contrast to Contrast-Enhanced CT Translation with Diffusion Transformers in the Low-Data Regime
- • CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution
- • CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models
- • Cubic Structure-Aware Neural Radiance Fields for Zero-Shot Super-Resolution of Susceptibility-Weighted Imaging
- • CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support
- • Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
- • Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs
- • CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping
- • D2C: Data-Efficient Skin Lesion Classification for Clinical Images by Representation Alignment Using Dermoscopic Resources
- • Data-Driven Optimization of Prostate Sectorization from MRI
- • DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection
- • DCLDs-RAG: Evidence-Grounded Multimodal Retrieval-Augmented Generation for Diffuse Cystic Lung Diseases Diagnosis
- • DDecomp: Structured Uncertainty Decomposition Using Masked Autoencoders for Anomaly Detection in Diffusion MRI
- • DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
- • DEC-Net: A Multi-Task Distillation Expert Collaboration Network for Glioma Grading and Molecular Subtyping Using Multimodal MRI
- • Decoding the Alzheimer’s Continuum: Interpretable Multi-gate Routing for Diagnosis and Transition Prediction
- • Decouple and Reason: Anatomically Guided Two-Stage Grounding of Lung Lesions in 3D Chest CT from Free-Text Reports
- • Decoupled Ordinal Refinement with Geometric Alignment for Chest X-ray Severity Scoring
- • Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency
- • Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation
- • Deep Probabilistic Cerebrovascular Atlas
- • Deep-IMMA: an Interpretable Immune-Aware Multimodal Deep Representation Learning for Cancer Prognosis and Recurrence Prediction
- • DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs
- • Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
- • DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation
- • DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting
- • Demographic-Conditioned State Space Models for ECG-Based Age Estimation
- • DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction
- • DentalPSAM: Lifting SAM to Dental Plaque Segmentation with Hybrid 2D-3D Knowledge Fusion
- • DentMamba: An Anatomy-Aware Global-Local Hybrid Network for Large-Scale Multi-class Dental Disease Detection
- • DeNuC: Decoupling Nuclei Detection and Classification in Histopathology
- • DepthPilot: From Controllability to Reliability in Colonoscopy Video Generation
- • DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image Classification
- • DermAgent: A Multi-Tool Agentic System for Evidence-Grounded and Traceable Reasoning in Dermatology
- • DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology
- • Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation
- • Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty
- • Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain
- • Det-Y: A Multi-center Dataset and Benchmark for Efficient Detection of Mycobacterium Tuberculosis in Sputum Smears
- • Device-Constrained Real-Time EVD Catheter Segmentation
- • DFuse: A Dual-Branch Adaptive Fusion Network for Multi-Channel MCG Denoising
- • DGFMIL: Fuzzy Multi-instance Learning with Cross-Granularity Calibration and Soft Semantic Routing for Histopathological Image Staging
- • DiagMIL: Uncertainty-Gated Coarse-to-Fine Multi-resolution MIL for WSI Diagnosis
- • Diagnose Like a Doctor: Misdiagnosis-Aware Structured Memory for Continual Learning of Medical Vision-Language Models
- • Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework Without Direct DICOM Access
- • Diagnostic Evidence-Based Prototype Learning via Dirichlet Process for Multimodal Bone Tumor Subtyping
- • DiCoP-SAM: Disagreement-Band Guided Corrective Prompting for Collaborative Semi-Supervised Medical Image Segmentation
- • Differential Privacy Representation Geometry for Medical Image Analysis
- • Diff-SABR: Diffusion-Based Symmetry-Aware Reconstruction of Alveolar Bone Defects from CBCT
- • Diffusion-Guided Anatomical Position Encoding for Dense Longitudinal CT Correspondence
- • Digital Twin of the Lung from Wearable Biosignals for Real-Time Respiratory Monitoring
- • Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
- • DINO-3DRA: Leveraging 2D Foundation Model Semantics for 3D Cerebral Aneurysm Segmentation
- • DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation
- • Di-PACT: Discrete Prognosis via Aligned Co-Topology of Pathways and Tumor Microenvironment
- • Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
- • Discovering Heterogeneous Neurodegenerative Disease Patterns From MRI Data for Improved Prediction
- • Discriminative Directional Projection for Reverse Distillation in Breast Ultrasound Anomaly Detection
- • Discriminative Synergistic Temporal Diffusion for Ultrasound Video Thyroid Nodule Segmentation
- • Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation
- • Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound
- • Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI
- • Disentangling Uterine and Bladder Activity in Paired EHG-MRI Data Using Anatomy-Guided Multicluster Beamforming
- • Displacement Preserving Relational Distillation for Robust Medical Segmentation
- • Distilling Photon-Counting CT Into Routine Chest CT Through Clinically Validated Degradation Modeling
- • Distilling Temporal Coherence Into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation
- • Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection
- • DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival
- • DK-Net: Semi-supervised Wavelet-KAN Landmark Localization for Angle of Progression Measurement in Intrapartum Transperineal Ultrasound
- • DLCE-MIL: Depth-aware Local Context Enhanced Multiple Instance Learning for Patient-Level IVCM Fungal Keratitis Classification
- • Do Not Break the Vessels: Structure-Preserving Mean Flow for Vascular Image Translation
- • DosePlug: Observation-Driven Dose Modeling for Robust Low-Dose Reconstruction and Segmentation
- • DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy
- • DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration
- • DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer
- • DSCE-Net: Dual-Scale Conditioned Evolving Network with Balanced Optimization for All-in-One Medical Image Restoration
- • DTI-Guided Volumetric Spherical Harmonics Regression for Single-to-Multi-shell dMRI Synthesis
- • Dual Agreement Consistency Learning for Semi-supervised Fetal Ultrasound Segmentation
- • Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation
- • DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy
- • Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation
- • Dual-Domain Meta Conditioning Network for Fetal Head and Pubic Symphysis Segmentation in Ultrasound Images Analysis
- • DualGGR-MoME: A Mixture of Multimodal Experts with Dual-Branch Gating and Global-Guided Routing for Cancer Survival Prediction
- • Dual-Modality Neural Network Integrating Sequence and Structural Information for Drug-Target Interaction Prediction
- • Dual-Registration Reciprocal Super-Resolution for Prior-Guided Real-Time 4D-MRI
- • Dual-Space Cold-Start Active Learning Guided by SAM3 for Medical Image Segmentation
- • Dual-Stage Course-to-Fine Tooth Alignment Framework with Decoupled Position, Orientation and Shape Features
- • Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs
- • Dual-Teacher Knowledge Distillation with SAM and Learnable Prototype Guidance for Semi-supervised 3D Medical Segmentation
- • DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents
- • Dynamic Collaborative Continual Test-Time Adaptation for 3D Vessel Segmentation
- • Dynamic Spatial-Temporal Mapping for EEG-to-fMRI Synthesis via Gaussian-Guided Heterogeneous Graph Neural Network
- • Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
- • DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis
- • EA-LDM: Explicit Alignment Latent Diffusion Model for Patient-Specific CT Reconstruction from Bi-planar X-Rays
- • ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models
- • ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation
- • ECHO: Estimated Composite Hybrid Observation for Zero-Shot Self-Supervised MRI Reconstruction
- • Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos
- • Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos
- • EchoFID: A Multi-teacher Distilled Evaluation Network for Cardiac Ultrasound Image Generation
- • EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis
- • EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory
- • Echo-SCAR: Temporal Feature Learning for Myocardial Scar Detection from Routine Echocardiography
- • EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion
- • EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound
- • ECLIPSE: EHR-Constrained Localized Inference for Pan-Tumor Segmentation
- • EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model
- • EEGRFusion: Uncertainty-Aware EEG-to-Image Evidence for Adjunct Bedside Assessment of CMD in Disorders of Consciousness
- • Efficient Conformal Volumetry for Template-Based Segmentation
- • Efficient Flow Matching for Sparse-View CT Reconstruction
- • Eigen-Directed Random Projection for Medical Image Class Incremental Learning
- • EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach
- • E-MRL: Cross-View Aligned Evidence-Driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis
- • ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs
- • End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery
- • EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video
- • EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting
- • EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment
- • EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework
- • Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data
- • Enhancing Pathological VLMs with Cross-scale Reasoning
- • Equity-Aware Self-supervised Multi-domain Connectome Representation Learning for Major Depressive Disorder Diagnosis
- • ESRT: Endoscopic Stereo Reconstruction Transformer
- • Estimated Age-Guided Cerebral Microbleed Segmentation
- • Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities
- • Evidential Neural Networks for Uncertainty-Aware Alzheimer’s Disease Screening from Resting-State EEG
- • Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
- • Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning
- • EvoMed: Self-Evolving Medical VLM via Training-free Continued Learning
- • Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval
- • Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning
- • Explainability in Multimodal Deep Transformation Models for Stroke Outcome Prediction
- • Exploiting Interior Geometry for Intracranial Aneurysm Detection and Segmentation on 3D Point Clouds via GNNs
- • Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking
- • Exploring Efficient Weakly Supervised Ultrasound Video Object Segmentation with VLM-Guided Structure Advantage Learning
- • Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
- • FA-Diff: Leveraging Frequency-Aware RWKV Diffusion for OCT to Correlation-Stability Map Translation
- • Fair Curriculum Learning for Concept Bottleneck Models in Dermatology
- • FairGE: Gated Expert Routing for Intersectional Fairness in Medical Foundation Models
- • Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
- • FairPneum: Improving Fairness in Pneumonia Diagnosis and Lesion Segmentation
- • Faithful, Interpretable Chest X-ray Diagnosis with Artifact-Free B-cos Networks
- • FARSIGHT: A Dynamic Multi Modal Medical Image Analysis Framework Powered by a Prior Knowledge Guided Vision Language Model
- • Fast 3D Cell Volume Reconstruction from Multi-focus Images by Cross-modality Knowledge Distillation
- • Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields
- • FDMMBone: Flow-Based Conditional Deformable Mesh Modeling for Accurate 3D Bone Defect Completion
- • FDRAS: Failure Diagnosis and Repair for Airway Segmentation
- • Feature Space Guidance for Breast Cancer Classification in DCE-MRI
- • FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis
- • FedCHDP: Federated Concept-Guided Dual-Modal Prompting for CHD Diagnosis
- • Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters
- • FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging
- • FedSwitch: From Standard to Balanced Aggregation via Private Histogram Estimation in Federated Medical Image Classification
- • FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis
- • FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis
- • Fibers of Asymmetric Similarity: A Framework for Clinical and Imaging Data
- • Fine-Grained Cerebrovascular Parsing in DSA via Structurally-Grounded Semantic Disentanglement
- • FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration
- • FluxCut: Shifting from Global Reconstruction to Local Geometry for Unsupervised Small Lesion Segmentation
- • FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance
- • Footprint-Guided Exemplar-Free Continual Histopathology Report Generation
- • Foundation Model-Driven Key Anatomy Frame Selection for Blind-Sweep Ultrasound Fetal Birth Weight Estimation
- • FrameONE: Hierarchical Motion Modeling for Universal Multi-view Echocardiographic Keyframe Detection
- • FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics
- • Frequency and Geometry Guided Graph Clustering for Weakly Supervised Skin Lesion Segmentation
- • Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification
- • Frequency-Aware Neural Architecture Search with Bidirectional Mamba for EEG Emotion Recognition
- • Frequency-Aware Post-Training Quantization for Medical Image Denoising
- • Frequency-Aware Prototype Learning in VLM for Intracranial Aneurysm HR-VWI Segmentation
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• From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction
- McConnell, Niccolò; Chen, Yunjie; Wang, Shanshan; Yamada, Daisuke; Egashira, Ryoko; Szmul, Adam; Aslani, Shahab; McCabe, John; Yang, Tianqi; McGregor, Helen; Vasudev, Pardeep; Azimbagirad, Mehran; Jones, Mark; Vanaudenaerde, Bart; van Moorsel, Coline; Wuyts, Wim; Consortium, SUMMIT; Mogulkoc, Nesrin; Taylor, Paul; Janes, Sam M.; Alexander, Daniel C.; Jacob, Joseph;
- [PDF] [Paper Information and Reviews] [bibtex]
- • From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision-Language Pretraining
- • From Geometry to Clinic: A Physics-Aware Evaluation Framework and Benchmark for Automated Dental Crown Design
- • From Patches to Patients: A Study of the Tile-to-Slide Performance Transferability in Digital Pathology
- • From Perception to Anticipation: Forecasting Vessel–Instrument Interactions in Endoscopic Surgery under Unreliable Observations
- • From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction
- • From Scanning Guidelines to Action: A Robotic Ultrasound Agent with LLM-Based Reasoning
- • From Sparsity to Geometry: Spatial Modeling for 3D Reconstruction from Biplanar Bone X-rays
- • From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning
- • FSE-Reg: Enhancing 3D Deformable Registration with Frozen Large-Scale Pre-trained Segmentation Encoders
- • FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images
- • Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction
- • G3R: Gaussian-Based Geometry-Guided Reconstruction for Fetal Brain MRI
- • Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
- • GCM-Net: Anatomy-Aware Gaussian-Contrastive Multi-layer Fusion Network for Abdominal Ultrasound Standard Plane Classification
- • GeneRAG: A Retrieval-Augmented Framework for Spatially Resolved Gene Expression Prediction
- • Generative Anchor-Guided Federated Domain Generalization for Heterogeneous Pan Cancer Image Analysis
- • Gene-Selective Morphological Conditioning with Heteroscedastic Flow Matching for Spatial Transcriptomics
- • Genetically Aligned Patient Representations Improve Hematological Diagnosis
- • GeoCAN: Nonlinear Causal-Geometric Learning for Echocardiography Quality Assessment
- • Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling
- • Geometry-Aware Manifold Trajectory Modeling for Task fMRI Activation Mapping
- • Geometry-Aware Point-to-Voxel Fusion via Gaussian Splatting for Intracranial Aneurysm Segmentation
- • Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation
- • Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification
- • GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment
- • GFR-MIL: Glance–Focus–Reflect Based Multiple Instance Learning for Multi-Scale Whole Slide Image Analysis
- • GG-AE: Genetically-Guided Autoencoder for Disentangling Structural Networks of Brain Atrophy
- • GGFI-Net: Genomics-Guided Cross-Modal Imputation for Multimodal Survival Analysis with Missing Modality
- • Glasses: Adapter-Enhanced DINOv3 with Boundary-Aware Multi-Scale Representations for Medical Image Segmentation
- • GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT
- • Global-Local Structure-Aware Alignment for Automated LGE MRI Report Generation
- • Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets
- • Graph Neural Networks for Morphometric Characterization of the Aortic Valve
- • Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-identification
- • Group Equivariant Diffusion for Anomaly Detection in Computational Cytology
- • Group-Conditioned Representation Modulation for Fair Skin Disease Diagnosis
- • GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment
- • GU-SAM2: A Semi-supervised Medical Image Segmentation Framework via Gated Feature Fusion of MIM-Pretrained U-Net and SAM 2
- • H2GT: Hub-enhanced Hierarchical Graph Transformer for Explainable Diagnosis of ASD with Functional Brain Networks
- • H2M-Net: Hierarchical Hyperbolic Memory Network for Pathological Report Generation
- • HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation
- • Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification
- • HAM-BGT: Harmonic-Aware Multimodal Brain Graph Transformer for Brain Disease Diagnosis
- • Harmless Copyright Protection for CT Dataset
- • HAR-MoE: Hierarchical Affinity-aware Routing Mixture-of-Experts for Unified Multi-Organ Ultrasound Analysis
- • Harmonic Kernel Mixing for Interpretable Oculomotor Event Segmentation in Video-Nystagmography
- • Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer
- • HbO2 and HbR Spatiotemporal Heatmap Feature Fusion Network for ADHD Diagnosis in Children
- • HD-TTA: Hypothesis-Driven Test-Time Adaptation for Safer Brain Tumor Segmentation
- • HeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction
- • HeartVolMesh: Cardiac Volumetric Mesh Reconstruction via Covariance-Guided Graph Deformation
- • HEDS-Net: A Hybrid State-Space Architecture with Axial Bridge and Progressive Weighting for Medical Image Segmentation
- • HemoPIC: A Physics-Informed Cerebral Hemodynamics Digital Twin for Brain Perfusion
- • Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images
- • HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis
- • Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation
- • HiEDL: Hierarchical Evidential Deep Learning for Uncertainty-Aware Tumor Segmentation from 3D CT via Boundary Regularization
- • Hierarchical Cautious Optimization for Semi-supervised Medical Image Segmentation
- • Hierarchical Cross-Modal Fusion with Modality-Specific Training Paradigms for High-Precision Non-invasive Aging Assessment
- • Hierarchical Disentangled Consistency Learning for Semi-supervised Multi-modal Medical Image Segmentation
- • Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation
- • Hierarchical Memory for Radiology Report Generation with Rich Context
- • Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection
- • Hierarchical Region-Aware Multi-Granularity Mamba for White Matter Lesion Segmentation
- • Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts
- • HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation
- • Hi-FL: Hierarchical Federated Learning Adaptation of Vision-Language Models for Multi-Institutional Surgical Phase Recognition
- • High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement
- • High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation
- • HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning
- • HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
- • HiProS: A Hierarchical Prompt Selection for Stage-wise Vision–Language Alignment in Medical Image Segmentation
- • HK-Fuse: Hilbert-Interleaved Kimi Delta Attention for Incomplete-Modality Brain Tumor Segmentation
- • HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation
- • HoughSAM: Geometry-Guided Zero-Shot Segmentation of Main Incision in Cataract Surgery Using SAM2 for Skill Assessment
- • How Good Are Foundation Models in Longitudinal MRI Disease Progression Reasoning?
- • Human-AI Collaboration for 2D/3D Registration Quality Assurance
- • Human-In-The-Loop Multi-agent Ventilator Decision Support with Contextual Bandit Preference Learning
- • Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation
- • Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics
- • Hyperbolic Vision-Language Interaction for Semi-supervised Medical Image Segmentation
- • HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space
- • HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification
- • I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration
- • IAVS: A Multi-center Dataset and Applicability Evaluation System for Computational Fluid Dynamics-Oriented Intracranial Aneurysm Segmentation
- • ICH-DIANet: A Modality-Disentangled and Attention-Expert Interaction Network for Brain Injury Assessment in Intracerebral Hemorrhage
- • ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-supervised Masked Autoencoders
- • IgG4-QPC: Quantitative Pathology-Consistent Virtual Staining from H&E to IgG4
- • Image-mediated fMRI-to-caption generation with visual pathway tokens and hyperbolic alignment
- • Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction
- • ImPartial: Multi-channel Whole-Cell Segmentation Using Partial Annotations
- • Improved Vascular Segmentation via Binary Flow Matching with Straight-Path Regularization
- • Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation
- • Inception-Powered Unrolling Reconstruction for Accelerated Dynamic Cardiac Late Gadolinium Enhancement MRI
- • Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation
- • Inflated Performance in fMRI-Based ASD Diagnosis: A Reproducibility Study of Data Leakage in Feature Selection Pipelines
- • Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
- • Injecting a Low-Rank Background Prior: A Plugin for Medical Image Segmentation
- • InSPIRE: Multiparameter Inversion for Ultrasound Computed Tomography via Sequential Position-Based Implicit Representation
- • INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields
- • Interaction-Aware Contrastive Multi-task Learning for Joint Segmentation and Malignancy Classification in Thyroid Ultrasound
- • Interactive MWA Planning via Probabilistic Inverse Inference
- • Interpretable Local-to-Global Estimation of Brain Aging Speed From Morphological Changes Using Longitudinal Structural MRI Data
- • Interpretable Longitudinal Disease Forecasting with Graph-Based Multimodal Encoding and Population-Aware Language Generation
- • Interpretable Medical Image Diagnosis via VLM-based Concept Alignment and Graph Reasoning
- • Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability
- • Interpretable Structure-Function Coupling via State-Space Models for Brain Connectome Analysis
- • Intraoperative Fluoroscopy-Volume Registration Using Virtual-Supervision Skeleton Attention
- • Intraoperative X-Ray-Guided Tumor Tracking via Dynamic 3D/2D Registration with Task-Driven 3D Gaussian Priors
- • IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation
- • InvDetect: Unsupervised Medical Anomaly Detection in the Noise Latent Space of DDIM
- • Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning
- • Inversion from ECG Foundation Model
- • IOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral Scans
- • IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation
- • JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
- • Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization
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• Joint Decomposition and Learned Deformation for Part-to-Whole MRI to Histology Registration
- Athalye, Chinmayee; Trotman, Winifred; Levorse, Lisa M.; Teunissen-Bermeo, Eric; Capp, Noah; Emrani, Sheina; Ittyerah, Ranjit; Prabhakaran, Karthik; Robinson, John L.; Lee, Edward B.; Ohm, Daniel T.; Tisdall, M. Dylan; Das, Sandhitsu R.; Wolk, David A.; Irwin, David J.; Yushkevich, Paul A.;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Joint Imaging–ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification
- • Joint Multi-modal Learning for Susceptibility-Induced Distortion Correction in Diffusion MRI
- • Joint Segmentation and Graph-Based Skeletal Representation Learning with Geometric Priors
- • Joint-Level Motor Imagery Decoding in fNIRS via a Unified Pairwise Machine Learning Framework
- • Just 32 Tokens: Medical Referring Image Segmentation via Next-Token Mask Prediction
- • KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation
- • KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability
- • KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation
- • KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection
- • Keypoint Correspondence Learning for CBCT–IOS Registration
- • KGT-Reg: Knowledge-Guided Multimodal Framework for Medical Image Registration
- • KIDA: Kinematic-Intent Dual-path Alignment for Surgical Error Detection
- • KiD-Seg: Kinetic-Disentangled Contrastive Learning with Anchor Guidance for Incomplete Multi-Modal Liver Tumor Segmentation
- • KiMoCo-Net: Dual-Domain Learning for MRI Motion Artifact Correction
- • Kinetics-Informed Neural Representation for Dual-Tracer Dynamic PET Separation
- • KJD-25K: A 3D Multi-modal Dataset and Benchmark for Knee Joint Diagnosis
- • K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging
- • KMP-MIL: Knowledge Memory Pool Multiple Instance Learning with Foundation Model for Continual Whole Slide Image Classification
- • Knowledge Distillation-Driven Quality Transfer with Importance-Guided Supervision for Fundus Image Enhancement
- • Knowledge-Enhanced Representation Learning with Retrieval-Augmented Multimodal Fusion for Survival Prediction
- • KOAL: Knowledge-Driven Prostate Cancer Grading with Ordinal-Aware Learning
- • KS-SAM: Kolmogorov-Arnold-driven Shape Alignment for Single-Domain Generalization in 3D Medical Image Segmentation
- • LAD: Learnable Anisotropic Deformation for 3D Medical Image Analysis
- • LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models
- • Landmark-Free Assessment of Lower-Limb Alignment with Implicit Neural Shape Functions from Knee Radiographs
- • LangOR: 3D Language Field Reconstruction for Operating Room
- • Large-Scale Distributed GPU-Accelerated Respiratory Motion-Resolved Reconstruction of 3D Non-cartesian mGRE MRI
- • Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition
- • Latent Lessons from Histopathology: A Registration-Free Cross-Modal Supervision Framework for mpMRI-Based ISUP Grading
- • Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography
- • Latent Pathology–Age Decoupling in Functional Connectivity Graphs for Multi-task Schizophrenia Assessment
- • Latent-CURE: Interpretable Breast Cancer Diagnosis via Dual-Asymmetric Chain-of-Thought
- • Latent-to-Latent Flow for Volumetric Stochastic Segmentation
- • Learnable Gaussian Prototype Guided Ordinal Learning for Fine-Grained WSI Grading
- • Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning
- • Learning Beyond Pixels: Structured Knowledge Topology Consistency for Semi-supervised 2D/3D Medical Image Segmentation
- • Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation
- • Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis
- • Learning Diverse and Realistic Polyp Data via Style-Fused Diffusion Models
- • Learning Dual Prior Presentation for Opportunistic Screening of Visceral Artery Aneurysms on Non-Contrast CT
- • Learning from Good Neighbors: Slice-wise Quality-aware CT-to-Diffusion MRI Synthesis
- • Learning Geometry-Aware Bundles with Spectral Heat Kernel Diffusion for fMRI-based Brain Disease Diagnosis
- • Learning Hierarchical Anatomy-Grounded Representation for Cross-Modal Registration
- • Learning Invariant Anatomical Representations from Multi-Sequence MRI for Brain Segmentation
- • Learning Modality-Invariant Structure and Distribution Alignment for Multimodal Medical Image Registration
- • Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases
- • Learning Quantitative Calibration of Computed Tomography for Bone Mineral Density Estimation Using Multi-Center Data
- • Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations
- • Learning Role-Conditioned Alignment for Medical Image Referring Segmentation
- • Learning Task-Specific Anatomical Priors via Context Distillation for In-Context Medical Image Segmentation
- • Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
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• Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction
- Tang, Yucheng; Yan, Wen; Ng, Alexander; Thorley, Natasha; Rajwa, Pawel; Wang, Yipei; Asif, Aqua; Allen, Clare; Dickinson, Louise; Giganti, Francesco; Atkinson, David; Punwani, Shonit; Alexander, Daniel C.; Saeed, Shaheer U.; Kasivisvanathan, Veeru; Hu, Yipeng;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-Based Optimization
- • Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT
- • Learning to Segment Burns with Limited Labels: A Dual-Path Cascaded Network with Uncertainty-Guided Teacher Diffusion Exposure
- • Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA
- • Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification
- • Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan
- • Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection
- • Learning Where to Look: Pathologist-Inspired Multi-field-of-View Evidence Retrieval for Cell Type Classification in H&E
- • LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising
- • LeGend: Lesion-Guided Longitudinal CXR Generation via Gaussian-Biased Causal Attention
- • Lesion-Centric Structured Report Generation for 3D CT with Multimodal Large Language Models via Hierarchical Evidence Tokens
- • Leuko, I Am Your Prototype: A Prototypical Detection Framework for Fine-Grained Laryngeal Lesion Stratification
- • Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis
- • LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation
- • LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics
- • LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation
- • LLM-Steered Clinical Knowledge Discovery for CVD Outcome Modeling
- • Localization-Grounded Supervision: Revisiting Vanilla SFT of Large Vision-Language Models for Medical Image Analysis
- • LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-Ray
- • LoHi-Net: A Low-to-High Hierarchical Wavelet Network for Laparoscopic Surgical Smoke Removal
- • Longitudinal Multi-view Modeling for Breast Cancer Risk Prediction
- • Longitudinal Reliability of Cross-Sectional Normative Models Under Measurement Error
- • LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making
- • Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
- • Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision–Language Models
- • LOT-Bridge: A Latent Optimal Transport Bridge Based on Signed Distance Fields for Automatic Skull Defect Reconstruction
- • Low-Rank Text-Guided Spectral Learning for Semi-supervised MHSI Segmentation
- • Low-Rank Velocity Fields as a Structural Prior for Unsupervised 4D Medical Image Interpolation
- • Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis
- • Low-Resource Cross-Modality Nucleus Detection via One-Sided Domain Adaptation
- • LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification
- • L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI
- • LumiState: Retinex-inspired Illumination Decoupling in 4D Gaussian Splatting for Endoscopic Reconstruction
- • M3D-QAdapter: 3D Medical VQA with Lesion-Level Finding-Segmentation Alignment and Query-Driven Adaptive Token Reduction
- • MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification
- • MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation
- • Making HE Histopathological Images More Colorful by Conditional Flow Matching
- • MamaDino: Mammography-Aware Multi-view Attentional DINO for 3-Year Breast Cancer Risk Prediction
- • Mamba Based Anisotropic Diffusion Model for Speckle Noise Reduction in Ultrasound Images
- • MammoFlow: Multiview Mammogram Synthesis with Anatomically Consistent Flow Matching
- • MAP-Diff: Multi-anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising
- • MARBLE: Lightweight EEG-to-fMRI Translation via Mamba-Attention and ROI-Conditioned Decoding
- • Marginal Constrained Morphological Prototype Learning for Patch Search in Whole Slide Images
- • MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring
- • Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation
- • Mask-Guided Attention Regulation for Anatomically Consistent Counterfactual CXR Synthesis
- • MASurv: Risk-Conditional Martingale Adversarial Training for Calibrated Multi-slide Survival Prediction in Whole-Slide Histopathology Images
- • Maximizing Domain Generalization in Automated Fetal Brain Biometry
- • MBFAD: Benchmarking Balance Function Assessment with Environmental Perturbation and Synergistic Tasks
- • MDL-DA Track: Self-supervised Sperm Motility Direction Learning and Density-Adaptive Association for Sperm Tracking
- • MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification
- • MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry
- • Measuring Prediction Uncertainty in Neural Cellular Automata
- • Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation
- • MEC: A Multi-expert Consultation Framework for Synergizing Frozen Foundation Models in Whole Slide Image Analysis
- • MEC: Medical Evidence Capsules for Retrieval-Augmented Generation in Medical Multimodal Question Answering
- • Med3D-R1: Mitigating Narrative Bias and Enhancing Reasoning Consistency in 3D Medical Vision-Language Models
- • Med-CAP: Counterfactual Evidence and Adaptive Prior Suppression for Robust Medical Visual Question Answering
- • MedCenterDet: A Center-Based Object Detection Framework for 3D Medical Image
- • MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs
- • MedEnv: Scaling Multimodal Virtual Medical Environments for Long-Horizon Diagnosis
- • MedExpMem: Adapting Experience Memory for Differential Diagnosis
- • MedFM-Robust: Benchmarking Robustness of Medical Foundation Models
- • MedFuse-Seg: Multi-level Visual and Semantic Context Fusion for Segmentation-Based Medical Reasoning
- • Medical Image Spatial Grounding with Semantic Sampling
- • Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis
- • MedObvious: Exposing the Medical Moravec’s Paradox in VLMs via Clinical Triage
- • MedPro: Dual-View Propagation and Prototypical Assessment for Training-Free Few-Shot Medical Segmentation
- • MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
- • MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment
- • MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis
- • MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining
- • MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage
- • MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation
- • MedTSC-Net: Bridging Semantic and Scale Gaps in Text-Guided Medical Image Segmentation
- • MedTS-TTT: Test-Time Training for Medical Time Series Classification
- • MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation
- • MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation
- • Memory-Guided Random-Direction Feature Disentanglement Model for Multi-phase MRI Translation
- • MERIT: Multi-scale Mamba with Enhanced Information Retention for Treatment Response Prediction from Whole Slide Images
- • Merlin Plus: A Large-Scale, Multi-cancer, Image-Mask-Report Dataset
- • MetaFormer: Efficient Metadata-Guided Transformer for Patient-Aware 12-Lead Electrocardiogram Reconstruction
- • MetaVFM: Meta-Learned Efficient Adaptation of Vision Foundation Models for Medical Imaging
- • Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology
- • MicroscopyCLIP: A Domain-Specific Vision-Language Model for Optical Microscopy
- • MiGAD: Gut Microbiota-informed Genetic Surrogates for Multimodal Alzheimer’s Disease Diagnosis
- • MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
- • MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
- • Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation
- • Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification
- • Mitigating Grade Boundary Conflicts for Disease Severity Grading with Ambiguous Labels
- • MLLM-Enhanced Region-Aware Bidirectional Evidence-Based Model for Tongue Diagnosis
- • MMIC-EndoDepth: Self-Supervised Endoscopic Depth Estimation with Multi-Mechanism Illumination Correction
- • MM-UNet: Meta Mamba UNet for Volumetric Medical Image Segmentation
- • MoCaf-Mamba: Modality Completion and Alignment in Feature Space for Missing-Modality Segmentation
- • Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing
- • Modeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos
- • MORI-Seg: Learning Morphological Geometry for Instance Segmentation Without Instance Annotations
- • MoSE: Mixture-of-Scale-Experts for Medical Image Restoration
- • Motion-Conditioned Multi-view Fusion for Myocardial Infarction Localization from Echocardiography
- • MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction
- • MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI
- • MRSeg3D: A Perturbation-Resilient Model for 3D Medical Reasoning Segmentation
- • MS-GDUN: Multi-scale Graph Deep Unfolding Network with Gradient-Threshold Learning for FMT Reconstruction
- • MSHF-Net: Multimodal Breast Cancer Molecular Subtype Prediction via Segmentation-Guided Hierarchical Fusion Network
- • mSpecFusion-Net: Intelligent Multimodal Smartphone Imaging for Mobile Differential Diagnosis of Psoriasis and Dermatitis and Deep Learning
- • MSQG-3DNet: Multi-scale Token Selection with Query-Decoder and Gated Fusion for 3D Breast Tumor Classification
- • MSS-Net: Learning Hierarchical Multi-scale and Multimodal Representations for Complex Cardiac Disease Classification
- • MuellerPT: Decomposition Driven Pre-training for Dense Learning in Mueller Polarimetry
- • Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation
- • Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization
- • Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency
- • Multi-depth Rubidium PET Graph Neural Network for Major Adverse Cardiac Event Prediction
- • Multi-Disease Diagnosis in Retinal Images via Patch-Level Reasoning and Selective Aggregation
- • Multi-Expert Representation Learning with Dynamic Routing for Brain Captioning
- • Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy
- • Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift
- • Multilayer Modularity-Aware Graph Autoencoder for Detecting Subpopulation Community Structure in Dynamic Brain Networks
- • Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction
- • Multimodal Large Language Model-Driven Self-Verification Reasoning for Interpretable Diagnosis of Diffuse Cystic Lung Diseases
- • Multimodal-Conditioned Flow Matching for Pathology Nuclei Data Augmentation
- • Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis
- • Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment
- • Multi-regional CT Radiomics Fusion to Quantify Pathology-Derived Pollutant Burden in Lung Cancer
- • Multi-scale Dual-domain Fusion-Based Spatio-Temporal Graph Learning for fNIRS Signal Classification
- • Multi-Stage Dilated Convolution-Mamba Network for Surgical Action Triplet Recognition
- • Multi-stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections
- • Multi-view Consistency-Based Adaptation of SAM2 for 3D ABUS Tumor Segmentation
- • Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation
- • Mutually Promoted Medical Image Segmentation and Classification via Prompt-Driven Interaction
- • MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography
- • MVDA-Net: Multi-View Dual-Alignment Network for 3D Carotid Artery Segmentation
- • N6-TreeMamba: Radiology Knowledge-Guided 6-Neighborhood Tree Scanning for 3D MRI-Based Stroke Complication Prediction
- • NASD-Diff: A Noise-Assisted Structural Difference Diffusion Model for CT Angiography Generation from NCCT
- • NEARL: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding
- • NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis
- • NetCorr: A Resection-Induced Network Perturbation Framework for Predicting Seizure Freedom in Drug-Resistant Epilepsy
- • Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning
- • NeuroAlign: A Unified Plug-and-Play Enhancer for Visual and Linguistic Brain Decoding
- • NeuroFlow: Manifold-Aware Topological Flow Matching for EEG Decoding
- • NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction
- • NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation
- • NoiBox: Safeguard Frontier via Reverse Adversarial Diffusion for Noisy-Box-Supervised 3D Tumor Segmentation
- • Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction
- • Non-intrusive Body Composition Assessment from Full-Body mmWave Scans
- • Non-linear INR-Based Motion Modeling for 4D Radiotherapy
- • Non-parametric Prototypes Enable Semantic Graph Learning for Whole-Slide Pathology
- • Non-Stationary Spectral State-Space Networks with Region-Wise Frequency Routing for Robust Fundus Vessel Segmentation
- • NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions
- • NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening
- • Occlusion-aware Disparity Estimation via Depth Prior Embedded Cost Volume for Stereo Endoscopic Images
- • OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding
- • Oculo: A Multilabel Dataset for the Identification of Ocular Abnormalities from Ultrasound Images
- • Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS–ANS Dynamics
- • On the Behavior of Calibration Error Under Rater Disagreement
- • On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos
- • One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation
- • Oneclass4ASD: Autism Spectrum Disorder Screening via One-class Classifier
- • One-Shot Data Selection for Medical Image Classification via Graph Coverage
- • On-Manifold Variational Learning with Heat-Kernel Priors
- • Ontology-Grounded Structured Prediction for Dental CBCT Reporting
- • Open World MRI Reconstruction with Bias-Calibrated Adaptation
- • Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning
- • OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research
- • OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation
- • OphthFlowBench: A Unified Ophthalmology Multimodal Benchmark with Workflow-Aligned Evaluation
- • Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations
- • OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration
- • Optimal Steps for Fast Diffeomorphic Shape Registration
- • OPVD: On-Policy Chain-of-Visual-Thought Distillation for Medical Reasoning
- • OR-Action: Multi-Role Video Understanding with Fine-Grained Actions
- • Ordinal Diffusion Models for Color Fundus Images
- • Ordinal Priors for Colonoscopy Temporal Segmentation
- • Organ-Invariant Tumor Representation Learning via Disentangled Adversarial MAE for Multi-organ Ultrasound Imaging
- • OrthoFlow: Decoupled Landmark Prediction and Image Synthesis for Orthodontic Treatment Outcome Visualization
- • OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva
- • OSCAR: Occupancy-Based Shape Completion via Acoustic Neural Implicit Representations
- • OsteoFlow: Lyapunov-Guided Flow Distillation for Predicting Bone Remodeling after Mandibular Reconstruction
- • OTCHA: Optimal Transport-Driven Confidence-Aware Latent Hub Alignment for Multi-view Medical Image Classification
- • OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency
- • OTFusion: Optimal Transport-Driven 3D Multi-modal Medical Image Fusion for Enhanced Cross-Modality Representation
- • P2R-Net: Physics-to-Reality SM Calibration Network with Sparse Measurement Guidance for High-Precision MPI Reconstruction
- • PALETTE: Pathology-Aware Latent Embedding for Targeted Tissue Expression
- • PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis
- • PANet: Probability-Anchored Network for Ultrasound Bone Segmentation
- • Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets
- • Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images
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• Pathologist Attention–Aligned Report Generation for Prostate Histopathology
- Xue, Ruoyu; Singh, Suryakant; Chakraborty, Souradeep; Marza, Pierre; Yaskiv, Oksana; Friedman, Constantin; Sheuka, Natallia; Friedman, Paul; Ramlal, Bharat; Knudsen, Beatrice; Gupta, Rajarsi; Saltz, Joel; Prasanna, Prateek; Zelinsky, Gregory; Samaras, Dimitris;
- [PDF] [Paper Information and Reviews] [bibtex]
- • PathoMamba: Piecewise-Diffeomorphic Registration via Stiffness-Modulated State Space Dynamics
- • Patient-Conditioned Vision–Language Priors with Stable Mixture-of-Experts for Label-Efficient Alzheimer’s MRI Staging
- • PAVL: Enhancing Feature Prototype Alignment with Vision–Language Model for Semi-supervised Medical Image Segmentation
- • PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding
- • PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations
- • PC-VLG: Position-Correlated Vision–Language Graph Alignment for Semi-supervised Medical Image Segmentation
- • Peeling an Onion: Layer-Wise Doppler-Backprojected Ultrasound Microvascular Vector Flow Imaging
- • Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance
- • Perfusion Aware Infarct Core and Penumbra Segmentation on NCCT with Region Constraints
- • PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
- • PETFlux: Taming Natural Foundation Models for Accurate MRI-to-PET Synthesis
- • PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization
- • PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
- • PhaseMamba: Two-Stage Learning from Short Clips to Full Procedures for Online Surgical Phase Recognition
- • PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors
- • PhyRadGS: Physics-Aware Radiative Gaussian Splatting for Fly-Scanning CBCT Reconstruction
- • Physical-Driven Unified Implicit Regularization Network with Scan Parameter Prompts for Accelerated Multi-parametric MR Imaging
- • Physics-Based iOCT Sonification for Real-Time Interaction Awareness in Subretinal Injection
- • Physics-Driven Cold Diffusion with Severity-Aware Sampling and Adaptive Degradation Estimation for MRI Motion Artifact Removal
- • Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes
- • Physics-Informed Surrogate Model Using Graph Neural Network for Cardiac Electrophysiology
- • Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction
- • Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization
- • Physiologically Consistent Missing Channel Reconstruction and Cascaded MoE for Impairment Categorization from Visual Electrophysiological Signals
- • Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin
- • Physiology-Aligned Hierarchical Network for Heart Murmur Detection
- • Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI
- • PhysioSplat: Physics-Informed Dynamic Gaussian Splatting for Surgical Scene Reconstruction
- • PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis
- • PICA: Physics-Guided Implicit Neural Fields with Boundary Conditioning for Intracranial Aneurysm Hemodynamics
- • Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI
- • PiMoE: Physics-Informed Mixture-of-Experts for Accelerated MRI Reconstruction
- • PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction
- • PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery
- • Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications
- • PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters
- • Plane-Wise Retrieval Memory and Structural Evidence Fusion for Tetralogy of Fallot Video Diagnosis
- • Planning the Perfect Burn: Multi-objective PSO for Multi-needle Thermal Ablation
- • PoCoLT: Position-Aware Cross-Modal Learning with LLM-Decoupled Hierarchical Reports for TMD Diagnosis
- • PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering
- • PoseBridgeNet: Learning a Pose-Evolving Schrödinger Bridge for Multi-Organs Segmentation in Prenatal Volumetric Ultrasound
- • Positive Semi-definite Group-Aware Instance Disentangled Learning for WSI Representation
- • Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease
- • POT-SAM3: Prompt-Only Tuning for One-Shot Electron Microscopy Segmentation
- • PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness
- • Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning
- • Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation
- • Preoperative Simulation of Personalized Breast Reconstruction via Implant Prior Controllable Diffusion
- • Pressure-Tuned Auditor for Sycophancy-Resistant Breast Ultrasound VLM Diagnosis
- • PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models
- • Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation
- • Prior-Guided Hierarchical Vector Quantized-VAE for Digital Subtraction Angiography Generation
- • PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI
- • Privacy-Preserving Video-Based Facial Palsy Recognition via Dynamic Facial Action Modeling
- • Proactive Domain Unification for Robust Echocardiography Segmentation
- • Probabilistic Multi-rater Segmentation via Style-Aware Boundary Conditioning
- • Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification
- • Progressive Self-supervised Learning with Individualized Community Assignment for Brain Network Analysis
- • ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities
- • Prompt and Probe: Data-Efficient Adaptation of Black-Box Foundation Models via Unified Active Visual Prompting
- • Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation
- • PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning
- • PromptMedCT: A Training-Free LLM-Guided Framework for Volumetric CT Data Realization with Quantifiable Disease Manifestations and Multi-Tier Annotations
- • Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans
- • ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection
- • ProSyn-Net: A Reliable Prototypical Synergy Network for Imbalanced Dermatologic Multimodal Ultrasound Diagnosis
- • Proto-CAP: Prototype Memory Fusion and Curriculum-Adaptive Loss for Pediatric Myopia Visual Question Answering
- • Protocol-Manifold Coverage Learning (PMCL): Source-Free Active Adaptation for Multi-Center Nasopharyngeal Carcinoma MRI Segmentation
- • PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs
- • ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression
- • Prototype Instance-Semantic Disentanglement with Low-Rank Regularized Subspace Clustering for WSIs Explainable Recognition
- • Prototype Learning for Visual Field Estimation from Fundus Photography in High Myopia
- • Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound
- • Prototype-based Physiological Transfer Enables NCCT-only Hyperacute Stroke Tissue-Window Segmentation Under Missing Perfusion
- • Prototype-Driven Robust Domain Generalization in Corneal Endothelial Cell Segmentation
- • Proxy-CAC: Learning Coronary Calcium Segmentation from Volume-Level Scores
- • PseudoRET: A General Retinal Segmentation Framework with Multi-target Pseudo Embeddings
- • PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation
- • Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need
- • QCAgent: An Agentic Framework for Quality-Controllable Pathology Report Generation from Whole Slide Image
- • QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging
- • Quality-Guided Semi-supervised Learning for Medical Image Segmentation
- • Quantification of 3D Musculoskeletal CT Image-Based Biomarkers in the Lumbar Spine: Application in Metastatic Prostate Cancer
- • Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation
- • Quantify, Collect, and Correct: Evidence-Driven Multi-agent Framework for Critical Evidence Refinement in Emergency Rooms
- • Question-Driven Decision Tree via Knowledge Distillation for Interpretable Prediction
- • R2P-SAM: Root-to-Prompt Hair Instance Segmentation with Geometric Priors under Point Supervision
- • RACA: Rule-Aligned Collaborative Agents for Evidence-Grounded Breast Ultrasound Classification
- • RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review
- • RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation
- • RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning
- • Radiogenomics-Driven Hierarchical Multimodal Stacking for Non-invasive Triage of High-Risk PKD1-Truncating Genotypes in ADPKD
- • RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy
- • RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models
- • RaLMPH: Reliability-Aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification
- • RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping
- • RAPO: Risk-Aware Anatomical Prior Optimization via Reinforcement Learning for CAC Detection in Rheumatoid Arthritis
- • RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery
- • RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception
- • RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization
- • RDE-Seg: Role-Disentangled Experts with Residual Routing and Anatomy Constraints for DSA Guidewire Segmentation
- • Really Need Recursion? Revisiting One-Pass Registration with Multi-Level Multi-Space Contextual Guidance
- • Real-Time 6D Ultrasound Probe Pose Tracking in Freehand Scanning
- • Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework
- • Real-Time Prediction of Impending Severe Fetal Distress Using Deep Learning on Fetal Heart Rate Monitoring
- • Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins
- • Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification
- • Reconstructing Isotropic 3D Cervical MRI from Anisotropic Clinical Scans via Anatomy-Style Decoupled INRs
- • Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis
- • ReDIVE: A Two-Stage Hybrid Network for Keratitis Diagnosis via Retinex-based Enhancement and Depth-Informed Vertical Embedding
- • Reducing Expert Annotation Effort for CTA Vessel Delineation with Synthetic Pretraining
- • Reference-Guided Gradient Balancing Loss for Long-Tailed Multi-label Medical Image Classification
- • Refining 3D Medical Segmentation with Verbal Instruction
- • Reformulating Chest X-Ray Report Generation as Fine-Grained Visual Question Answering with Structured Clinical Report Templates
- • RefTr: Recurrent Refinement of Confluent Trajectories for 3D Tubular Tree Centerlines
- • Reliability-Aware Cross-Prompt Aggregation for Propagation-Based Segmentation of Arbitrary 3D Medical Objects
- • ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views
- • ReMeDI: Refined Memory for Disambiguation of Identities with SAM3 in Surgical Segmentation
- • Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning
- • ReMiX-Seg: Latent Modality Completion Meets Expert Routing for Robust Glioma Segmentation
- • RePCM: Region-Specific and Phenotype-Adaptive Bi-ventricular Cardiac Motion Synthesis
- • ReportX: The BraTS Clinical Report Dataset
- • Representation Learning with Distance-Residualized Functional Connectivity for Cortical Parcellation from rs-fMRI
- • ReScan-IA: A Spatially-Adaptive Diffusion Framework for Controllable 3D Intracranial Aneurysm Inpainting
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• Research Design Considerations for Empirical User Studies in MICCAI
- Cho, Sue Min; Gomez, Catalina; Breininger, Katharina; Creighton, Francis; Guo, Xiaoqing; Ho, Dean; Ishii, Masaru; Jannin, Pierre; Kersten-Oertel, Marta; Kim, Seong Tae; Navab, Nassir; Ouyang, Cheng; Wu, Shandong; Yi, Paul; Zuluaga, Maria A.; Unberath, Mathias;
- [PDF] [Paper Information and Reviews] [bibtex]
- • Residual Diffusion Bridge in Wavelet Space for Medical Image Translation
- • Residual-Aware Structured Pruning with Dual-Stream Alignment for Adapter-Tuned SAM
- • Resolution-Conditioned Representation Learning for Unified Brain MRI Modeling
- • Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting
- • Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
- • Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs
- • Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation
- • Retinopathy of Prematurity Staging via Prototype-Evidential Learning
- • Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation
- • Retrieval-Based Mixture-of-Experts for Patient-Specific Cancer Survival Prediction with Incomplete Multimodal Data
- • Retrieval-Guided Semi-supervised Federated Learning for Medical Image Segmentation
- • REVEAL++: Differentiable Phenotypic Grouping for Vision–Language Retinal Modeling of Alzheimer’s Disease Risk
- • Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
- • Reward-Guided Distillation: A Progressive Pseudo-Bag Purification Framework for WSI Multiple Instance Learning
- • Riemannian Batch Normalization on Correlation Manifolds for EEG Decoding
- • Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score
- • R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration
- • Robotic Ultrasound Makes CBCT Alive
- • Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data
- • Robust Colonoscopy Video Polyp Segmentation via Quality-Aware Memory and Prototype Alignment
- • Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation
- • Robust Tooth Segmentation Under Orthodontic CBCT: A Metal Artifact-Aware Approach
- • ROTE: Routing–Timescale Framework for Balanced Expert Allocation in MoE-Based Continual Segmentation
- • RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation
- • RT-Super: Learning Tumor Segmentation from Longitudinal Images and Reports
- • S2DLight: Single Step Diffusion Network via Degradation-Aware Adaptation for Surgical Endoscopic Image Low-Light Enhancement
- • S2GAIN: Spatio-Spectral Guided Affinity Imputation Network for Alzheimer’s Disease Diagnosis with Incomplete Modality
- • S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation
- • SA-CFM: Structure-Aware Continuous Flow Matching for Normative Modeling of EEG Microstate
- • SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis
- • SAFE-Diff: Structurally Anchored Diffusion for Anatomically Faithful CT Image Super-Resolution
- • SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction
- • SAM2 as a Key Bridge Between 2D Slices and 3D Volumes for Sparsely-supervised Medical Image Segmentation
- • SAM-Cluster and SAM-LP: Structure-Aware Evaluation Metrics for Selecting WSI Feature Extractors Without MIL Training
- • SAMoCo: A Learning-Initialized and Physics-Refined Framework for Sampling-Agnostic Motion Correction in MRI
- • SANT-CBM: Structurally-Aware and Noise-Tolerant Semi-supervised Concept Bottleneck Models
- • SAR-Net: Sample-Agnostic Retrieval Network for Robust Brain Tumor Segmentation with Missing Modalities
- • SAVer: Structure-Aware Validation of Standard Fetal Head Planes via Clinically Grounded Anatomical Completeness
- • SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
- • Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology
- • S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring
- • SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
- • SCKAN: Structural Consensus-Based KAN Prototype Learning for Semi-supervised Pancreas Segmentation
- • ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy
- • SD-SAM: Synergizing SAM and DINOv3 for Parameter-Efficient Polyp Segmentation and a Challenging Benchmark Dataset
- • Seamless Whole Slide Label-Free Virtual Staining
- • SeedPro: Place Brachytherapy Seeds Like Expert Clinicians via Hierarchical Reinforcement Agents
- • Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation
- • Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception
- • SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation
- • Segment Anything Model with Symmetric Spectral Uncertainty Gating for Generalizable Medical Image Segmentation
- • Selective Confidence Fusion for Specular Highlight Detection in Medical Images
- • Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification
- • Self-auditing Parameter-Efficient Fine-Tuning for Few-Shot 3D Medical Image Segmentation
- • Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding
- • Self-supervised Learning on Lingual Ultrasound Video Encodes Clinically Meaningful Articulatory Structure of Rhotic Production in Residual Speech Sound Disorder
- • Self-supervised Longitudinal Neuroimaging Augmentation for Continuous Staging of Alzheimer’s Disease
- • Self-supervised Spline Autoencoder for Smooth Latent Dynamics in Echocardiography
- • Self-supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping
- • Semantic Feature Modulation for Mammographic Lesion Classification
- • Semantically Consistent Whole-Body PET/CT Report Generation with Local Lesion-Level Guidance
- • Semantic-Aware Organ-Level Esophageal Tumor Synthesis via Latent Rectified Flow
- • Semantic-Consistent Dual-Image Vision-Language Alignment via Modality Routing for 3D PET/CT
- • Sequence-Conditioned Flow-Based Models for Digital Phantom Generation in MRI
- • Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI
- • Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation
- • SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis
- • S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation
- • Shape-Adaptive Guidance Signal for Interactive Cortical Sulcal Labeling
- • Shape-Aware Registration Without Pretraining: CT-Ultrasound Bone Surface Alignment via Instance-Level Shape Completion
- • ShapeEFM: A Shape-Based Pretrained Foundation Model on ECG Morphology Comprehension
- • Shape-Scale Aware Diffusion Models for Weakly Supervised Medical Image Anomaly Detection
- • ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning
- • Shared Gaussian Geometry for Brain MRI Spatial Resolution Harmonization Without External Training
- • SHINE: An Entropy-Guided Digital Twin Framework for 3D Myocardial Scar Reconstruction from Sparse CMR
- • SHOT-CCR: Biologically Guided Adversarial Training for Test-Time Adaptation in Cellular Morphology
- • SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling
- • Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation
- • Single-Subject Multi-view MRI Super-Resolution via Implicit Neural Representations
- • SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment
- • Situational context embedding and knowledge-based grounding for LLMs in surgical training assistance
- • SkepticalNet: A Safety-Aware Interactive Segmentation Framework for Neuro-Oncology
- • Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation
- • Skin2Mind: A Multimodal Framework for Mental Health Risk Screening via Facial Images and Structured Skin Reports
- • SLICE-MIL: Counterfactual Semantic Anchoring of Disentangled Evidence for Child-Pugh Grading
- • SlideGuard: WSI Artifact Detection Benchmark
- • Slim nnU-Net: Revisiting nnU-Net Self Configuration from an Optimization Angle
- • SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty
- • Smartphone-Based ASD Screening via Instance-Adaptive Cross-Modal Fusion and Contrastive Learning
- • SONIC: Sonographer-Inspired Conceptual Explanation for Neural Networks
- • SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis
- • Source-Free Domain Adaptation for Medical Image Segmentation via LLM-Agent Collaboration
- • Sparse Autoencoders for Interpretable Medical Image Representation Learning
- • Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models
- • Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory
- • Spatially-Aware Graph Geometric Representation for Lung Nodules Detection
- • Spatiotemporal Modeling of Longitudinal MRI with Causal Graph Reasoning for Breast Cancer pCR Prediction
- • Spatiotemporal Modeling of Tumor Dynamics via Optimal Transport for Enhanced Longitudinal Analysis
- • SPEAR: Error-Guided Sparse Refinement for Scalable Deformable Medical Image Registration
- • SpecF2M: A Spectral-Aware Multi-task Network Estimating Axial Length and Refractive Error from Pediatric Fundus Photographs
- • Spectral-Semantic Consensus for Few-Shot Whole Slide Image Classification
- • Spectral-Temporal State Space Modeling on Functional Brain Networks
- • Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI
- • SPHARM-Mamba: Rotation-Invariant Multiscale Modeling for Brain Age Prediction
- • Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification
- • SpikeEEGformer: A Spike-Driven Transformer for Generalized EEG Recognition
- • SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling
- • Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI
- • SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes
- • SRPAN: Implicit Neural Slice-to-Volume Reconstruction for Super-Resolution Pancreatic MRI
- • SS-IoSR: Self-supervised Intraoral Scans Repair
- • SSPT: Spiking Serialized Point Transformer for Couinaud Segmentation in 3D Medical Data
- • Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition
- • Stage-Aware Adaptive Reaction–Diffusion Framework for Modeling Alzheimer’s Disease Progression with Tau and Amyloid-β PET Scans
- • STAMP: Subtype-Aware Spatio-Temporal Atlases for Personalized Prediction of Longitudinal Alzheimer’s Disease Progression
- • Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation
- • StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-Contrast CT
- • Structural Congruence Matters: Biological Pretraining for Vascular Graph Extraction
- • Structural-Semantic Aware Information Reduction for Asymmetric EEG-Visual Alignment
- • Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement
- • Structure-Aware Sensorless 3D Ultrasound and Photoacoustic Reconstruction
- • Structure-Contrast Disentangled INRs for Accelerated Multi-contrast MRI Reconstruction
- • Subject- and Task-Aware EEG Foundation Model
- • Subject-Specific Low-Field MRI Synthesis via a Neural Operator
- • Sub-Resolution Monocyte Detection in Time-Lapse MRI: A Benchmark
- • Sulcus-Aware Hippocampal Surface Modeling with Training-Time Sulcus-Guided Learning
- • SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty
- • Surgical Anatomy Recognition with Context Learning using Foundation Representations
- • Surgical Video Temporal Grounding
- • SurgLQA: Scalable Long-Horizon Surgical Video Question Answering
- • SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes
- • SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary
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• SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays
- Hu, Yuanyun; Wang, Yuli; Acevedo Rodriguez, Noemi; Yang, Ronald; Hsu, Wen-Chi; Luo, Siwei; Bai, Zihao; Wu, Jing; Dai, Yuwei; Wu, Shaoju; Lindquist, Jonathon; Honce, Justin; Trivedi, Premal; Jiao, Zhicheng; Kamel, Ihab; Haut, Elliott; Johnson, Pamela; Eng, John; Lin, Cheng Ting; Su, Nan; Chen, Bo; Yu, Sun; Bai, Harrison;
- [PDF] [Paper Information and Reviews] [bibtex]
- • SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics
- • SurgZSD: Zero-Shot Surgical Action Triplet Detection via Attribute Composition and Clinical Feasibility Inference
- • SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis
- • SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space
- • SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification
- • SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation
- • SymmDiff: Symmetry-Guided Diffusion for Fracture Localization in Pelvic Radiographs
- • Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology
- • Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence
- • SynHydro: Biomechanics-Driven Domain Randomization for Hydrocephalus-Agnostic, Generalizable Tissue-Ventricle Segmentation Across Age, Modality, and Resolution
- • SynMamba: Synergizing Visual Mamba with Synthesized Clinical Semantics for Boundary-Aware Segmentation
- • SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction
- • TAIR: Text-Guided Adaptive Prompt Refinement for Coarse-to-Fine all-in-One Medical Image Restoration
- • Task-Performance Routing for Multi-teacher Distillation in CT Medical Image Segmentation
- • TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation
- • TCCT: Trajectory-Conditioned CBCT Reconstruction for Sinusoidal Non-circular Orbits with a Fourier Neural Operator
- • TCFD-Net: Temporal-Calibrated Feature Disentanglement Network for Dual-Timepoint CT-Based Immunotherapy Response Prediction in Advanced Non-small Cell Lung Cancer
- • TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning
- • TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation
- • TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction
- • Temporal Phase-Difference Guided Spatiotemporal Learning for DSA Vessel Segmentation
- • Testable Concept Bottlenecks for Pretreatment pCR Prediction in Breast DCE-MRI: Faithfulness and Reliability
- • Test-Time Adaptation for ECG Classification via SQI-Gated Self-training and Beat-Rhythm Consistency
- • Test-Time Adaptation for Rare Surgical Phase Recognition: Bridging the Coverage-Gap Paradox
- • Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow
- • Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided
- • Text as a Compass: Semantic-Navigated 3D Bone Collapse Prediction via Orthogonal Micro-volume Primitives
- • Text as Illumination: Spatial Contrastive Retinex Learning for Language-Guided Medical Image Segmentation
- • Text as the Sieve: Information Bottleneck Guided Prototype Sieving for Text-Guided Medical Image Segmentation
- • Text Guidance and Distance Gating Improve Detection and Segmentation of Focal Cortical Dysplasia
- • Text-Deficient Multimodal Stroke Segmentation with Lesion-Grounded Self-Retrieval-Augmented Generation
- • Text-Guided Multi-frequency Latent Diffusion for Medical Image Segmentation
- • TGBD-Net: Tumor-Guided Bridging Distillation for Joint EGFR Mutation and Survival Prediction in Lung Cancer from CT Imaging
- • TGH-DB: Template-Guided Heteroscedastic Diffusion Bridge for Brain MRI-to-PET Synthesis
- • TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching
- • The Learnability Gap in Medical Latent Diffusion
- • The Neuro-Developing Engine: a Surrogate Longitudinal Model for Infant Brain Dynamics Via Causal Distillation
- • The Paper Has a GitHub, the GitHub Has a README, the README Has Nothing: Reproducibility Signals for Review Support
- • Think Global, Look Focal: Dual-Stream Retrieval-Augmented Pathology Report Generation for Whole Slide Images
- • Through the Schrödinger Bridge: Benchmarking Antemortem Image Restoration from Postmortem Autolysis to Enhance Forensic Diagnostics
- • Through-Plane Attention for Anisotropic CT Super-Resolution Improves Quantitative Lung Cancer Analysis
- • Time Matters: Rethinking Diffusion and Flow Models in One-Step Medical Image Translation
- • Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories
- • TinyH2GNet: Exploring Lightweight Models for Gene Expression Prediction from H&E Images
- • TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis
- • TOF-GR: Unsupervised PET Reconstruction via Time-of-Flight Gaussian Representation and Kernel-Based Prior Modeling
- • TOFlow: Learning-Based Isotropic Reconstruction and Flow Mapping from Multi-orientation TOF-MRA
- • Tooth Alignment via Virtual Trajectories with Clinical Constraints
- • ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2
- • Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation
- • TopoOR: A Unified Topological Scene Representation for the Operating Room
- • TotalFM: An Organ-Separated 3D-CT Foundation Model Leveraging Large-Scale Routine Clinical Radiology Data
- • Toward Markerless Video-Based Tremor Analysis: Objective Quantification of Pathological Tremor in Mouse Preclinical Models
- • Toward Synergistic Learning for Liver Vessel and Couinaud Segmentations
- • Toward Thyroid Cancer BRAF V600E Mutation Prediction via Multimodal Large Language Model: Dataset and Model Development
- • Towards Class-Aware Semantic Decoupling in Multi-modal Disease Diagnosis with Missing Modalities
- • Towards Direction-Equilibrated Segmentation in 3D Medical Images
- • Towards the Digital Dental Models: High-Fidelity CBCT-to-IOS Fusion via Anatomy-Aware Geometric Transformers
- • Towards Unified Image–Video Modeling Across B-Mode and Contrast-Enhanced Ultrasound for Multi-task Analysis
- • Towards Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs
- • Towards Versatile and Safe Multi-electrode Path Planning for SEEG Implantation
- • TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting
- • TRACE-PSG: Traceable Sleep Diagnosis Support with Pointer-Grounded Evidence
- • TracerAD: Training-Free Few-Shot 3D Anomaly Detection for Novel PET Tracers
- • Tracer-Adaptive Expert Learning for Generalizable PET Lesion Segmentation
- • Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery
- • Trackerless Ultrasound Pose Estimation via Correspondence-Aware Tokenization and Flow-Matching Transformers
- • Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology
- • Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA
- • Trajectory-Aware Cross-Paradigm Transformers for Efficient System Matrix Calibration in Magnetic Particle Imaging
- • TRIAGE-MIL: Multi-axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images
- • TriFlow: Triplane Latent Conditional Flow Matching for Efficient 3D Skull Shape Completion
- • Tri-KA: Tri-level knowledge anchoring test-time adaptation for source-free cross-site MRI rectal cancer segmentation
- • TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning
- • TrustSyn: Reliable and Divergent Synergy for Mixed-Domain Fundus Segmentation
- • Trustworthy Endoscopic Super-Resolution
- • TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents
- • Tumor-Aware Direct Preference Optimization for Longitudinal Post-operative MRI Generation
- • TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth
- • Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation
- • Ultrafast Echocardiography Based on Dynamic Subspace-Guided and Temporal Adaptive Diffusion
- • UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation
- • Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation
- • Uncertainty-Aware Hypergraph Consistency Learning for Semi-supervised Medical Image Segmentation
- • Uncertainty-Aware Spatio-Semantic Contextual Prompts for Multimodal Medical Segmentation
- • Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain
- • Uncertainty-Guided Conservative Propagation for Coronary Artery Segmentation
- • Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features
- • Understanding Model Behavior in Monocular Polyp Sizing
- • Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data
- • UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis
- • UniFCHarm: Unified Prompt-Guided Harmonization of fMRI Functional Connectivity Across Scanners and Atlases
- • Unified Multimodal Model for Brain MRI Imputation and Understanding
- • UniField: A Unified Field-Aware MRI Enhancement Framework
- • UniLiver: Gradient-Conditioned Unified Model for Multi-target Hepatic Segmentation
- • UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis
- • Unleashing Video Language Models for Fine-grained HRCT Report Generation
- • Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training
- • Unsupervised and Segmentation-Free Phase Unwrapping for 4D Flow MRI Using Deep Image Prior
- • Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior
- • Unsupervised Domain Adaptation for Pelvic Landmark Localization in CT and MR Using Landmark-Conditioned Synthesis
- • Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network
- • U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision
- • URLCF: Universal Representation Learning for Cross-Domain Few-Shot Autism Spectrum Disorder Detection
- • UT-MIL: Uncertainty-Rectified and TME-Decoupling Dual-Stream Aggregation for Robust WSI Survival Prediction
- • VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
- • Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation
- • VarDeFlow: Variational Deformation Learning with Flow Matching for Multi-organ Cross-Modality Medical Image Synthesis
- • VCDA-Net: Graph-Guided Voxel-Cluster Density Attention for Global-Regional Brain Age Gap Estimation
- • VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography
- • VecHeart: Holistic Four-Chamber Cardiac Anatomy Modeling via Hybrid VecSets
- • VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization
- • VesselSim: learning 3D blood vessel segmentation without expert annotations
- • VigilSAM3: Reinforcement-Optimized Memory Gating for Ultra-Long Surgical Video Segmentation
- • VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering
- • ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model
- • Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography
- • Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D–2D Registration for Liver Laparoscopy
- • VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention
- • Vision-Based Force Estimation Using Brain Surface Deformation Models
- • Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video
- • VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation
- • VM-NeXT UNet: Synergizing ConvNeXT and Visual Mamba for Robust Medical Image Segmentation
- • VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography
- • VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers
- • Volume-Fused Super-Resolution OCT Reveals Cellular-Level Structures in the Outer Segment Across Wider Fields Without Adaptive Optics
- • VoxShield: Protecting 3D Medical Datasets from Unauthorized Training via Frequency-Aware Inter-Slice Disruption
- • VRUGA: Visual and Reasoning Uncertainty Guided Active Learning for Medical MLLM Post-training
- • WaCT-US: Cyclic-Alignment Scaled Contour Tubes for Efficient, Calibrated Uncertainty in Echocardiography
- • Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging
- • WaveDE: Wavelet-Routed Dual-Expert Network for Fundus Photograph Enhancement
- • WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis
- • Wavelet-Enhanced Coarse-to-Fine Radiology Report Generation with Large Language Models
- • Wavelet-Guided Spectral–Spatial Learning for Medical Hyperspectral Image Segmentation
- • wBCAM: Windowed Bi-directional Cross-Attention with Mamba for Enhanced 3D Vascular Reconstruction in Free-Hand Photoacoustic and Ultrasound Imaging
- • Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling
- • Weakly-Supervised Temporal Decomposition with Graph Neural Networks for Parkinsonian Turning Assessment
- • When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI
- • When Does Uncertainty Become Meaningful in Medical Vision-Language Models? Alignment Enables Disease-wise Uncertainty and Risk-Aware Prediction
- • When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery
- • When Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography
- • When, Where, and How: Adaptive Binning for Tabular Self-supervised Learning
- • Where Is the Needle Tip? VA Sensing Reveals Hidden Needle-Tissue Transitions During US Guidance
- • WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs
- • Wrist Camera Pose-Guided Multi-view Fusion for Occlusion Reconstruction in Robot-Assisted Microsurgical Anastomosis
- • X2Bone: Reconstructing 3D Bone Structures from 2D Biplanar X-Rays via Cross-RWKV
- • X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers
- • XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity
- • Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians