List of Papers by Subject Areas

Deep Probabilistic Cerebrovascular Atlas

Disentangling Uterine and Bladder Activity in Paired EHG-MRI Data Using Anatomy-Guided Multicluster Beamforming

DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy

Exploiting Interior Geometry for Intracranial Aneurysm Detection and Segmentation on 3D Point Clouds via GNNs

Fine-Grained Cerebrovascular Parsing in DSA via Structurally-Grounded Semantic Disentanglement

FrameONE: Hierarchical Motion Modeling for Universal Multi-view Echocardiographic Keyframe Detection

Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling

Graph Neural Networks for Morphometric Characterization of the Aortic Valve

ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-supervised Masked Autoencoders

Kinetics-Informed Neural Representation for Dual-Tracer Dynamic PET Separation

Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases

Longitudinal Reliability of Cross-Sectional Normative Models Under Measurement Error

Maximizing Domain Generalization in Automated Fetal Brain Biometry

Motion-Conditioned Multi-view Fusion for Myocardial Infarction Localization from Echocardiography

NetCorr: A Resection-Induced Network Perturbation Framework for Predicting Seizure Freedom in Drug-Resistant Epilepsy

Optimal Steps for Fast Diffeomorphic Shape Registration

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Self-supervised Spline Autoencoder for Smooth Latent Dynamics in Echocardiography

Self-supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping

SHINE: An Entropy-Guided Digital Twin Framework for 3D Myocardial Scar Reconstruction from Sparse CMR

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Sulcus-Aware Hippocampal Surface Modeling with Training-Time Sulcus-Guided Learning

Toward Synergistic Learning for Liver Vessel and Couinaud Segmentations

Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain

UniLiver: Gradient-Conditioned Unified Model for Multi-target Hepatic Segmentation

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

Applications -> Computer-Aided Diagnosis

3D Classification of Paramagnetic Rim Lesions in Multiple Sclerosis via Asymmetric QSM–FLAIR Modeling

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management

A Confounder-aware Representation Learning Framework for Alzheimer’s Disease Classification

A Hierarchical Multi-Task Framework for Dementia Diagnosis via Pathological Feature Learning from Multi-Organ Data

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

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

Active Evaluation-Induced Graph Network Based Medical Hyperspectral Image Classification for Tumor Diagnosis

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

Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation

Addressing Gradient Conflicts in Multimodal Fundus Disease Recognition with Fusion-Guided Learning

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

Aligning Prototypes and Updating Null Spaces for Continual WSI Learning

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

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-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays

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

AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis

ARCH-Net: Aligned 3D Teeth Reconstruction via Counterfactual-Enhanced Hierarchical Framework

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

AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation

Attribute-Aware Federated Learning with Pseudo-Bag Augmentation for Multi-Center WSI Classification

Automated Disentangling Analysis of Skin Colour for Lesion Images

Automatic LV Localization and Short-Axis Plane Estimation from Arbitrary CMR Slice

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery

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 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

BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment

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-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-Specialized Self-supervised Learning: Neuroanatomy-Aware Spatial Priors for 3D Brain MRI

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

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 Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

Calibrated Confidence Expression for Radiology Report Generation

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

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

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

CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment

CiLA: Knowledge-Preserving Self-supervised Adaptation of CLIP for Fundus Imaging

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models

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

CMD-AD: Cross-Modality Distillation from fMRI-EEG for Single-Modality Alzheimer’s Disease Diagnosis

CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults

Collaborative Multiscale Representation Learning for AMD Detection

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Community-Aware Dynamic Graph Learning for Brain Disorder Diagnosis

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

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

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

CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

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

CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

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

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

DEC-Net: A Multi-Task Distillation Expert Collaboration Network for Glioma Grading and Molecular Subtyping Using Multimodal MRI

Decoupled Ordinal Refinement with Geometric Alignment for Chest X-ray Severity Scoring

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

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

DermAgent: A Multi-Tool Agentic System for Evidence-Grounded and Traceable Reasoning in Dermatology

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

DGFMIL: Fuzzy Multi-instance Learning with Cross-Granularity Calibration and Soft Semantic Routing for Histopathological Image Staging

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

Differential Privacy Representation Geometry for Medical Image Analysis

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

Discovering Heterogeneous Neurodegenerative Disease Patterns From MRI Data for Improved Prediction

Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

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

DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy

DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos

Echo-SCAR: Temporal Feature Learning for Myocardial Scar Detection from Routine Echocardiography

EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion

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

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

EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

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 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

Exploiting Interior Geometry for Intracranial Aneurysm Detection and Segmentation on 3D Point Clouds via GNNs

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

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

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

FedSwitch: From Standard to Balanced Aggregation via Private Histogram Estimation in Federated Medical Image Classification

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

Fibers of Asymmetric Similarity: A Framework for Clinical and Imaging Data

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

Frequency and Geometry Guided Graph Clustering for Weakly Supervised Skin Lesion Segmentation

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

GCM-Net: Anatomy-Aware Gaussian-Contrastive Multi-layer Fusion Network for Abdominal Ultrasound Standard Plane Classification

GeoCAN: Nonlinear Causal-Geometric Learning for Echocardiography Quality Assessment

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

Global-Local Structure-Aware Alignment for Automated LGE MRI Report Generation

Group-Conditioned Representation Modulation for Fair Skin Disease Diagnosis

H2GT: Hub-enhanced Hierarchical Graph Transformer for Explainable Diagnosis of ASD with Functional Brain Networks

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification

HAM-BGT: Harmonic-Aware Multimodal Brain Graph Transformer for Brain Disease Diagnosis

HAR-MoE: Hierarchical Affinity-aware Routing Mixture-of-Experts for Unified Multi-Organ Ultrasound Analysis

HbO2 and HbR Spatiotemporal Heatmap Feature Fusion Network for ADHD Diagnosis in Children

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

Hierarchical Cross-Modal Fusion with Modality-Specific Training Paradigms for High-Precision Non-invasive Aging Assessment

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

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

Human-In-The-Loop Multi-agent Ventilator Decision Support with Contextual Bandit Preference Learning

HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

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

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

Inflated Performance in fMRI-Based ASD Diagnosis: A Reproducibility Study of Data Leakage in Feature Selection Pipelines

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

Interaction-Aware Contrastive Multi-task Learning for Joint Segmentation and Malignancy Classification in Thyroid Ultrasound

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 Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

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

KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation

KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability

KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection

KiD-Seg: Kinetic-Disentangled Contrastive Learning with Anchor Guidance for Incomplete Multi-Modal Liver Tumor Segmentation

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

Knowledge Distillation-Driven Quality Transfer with Importance-Guided Supervision for Fundus Image Enhancement

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

Landmark-Free Assessment of Lower-Limb Alignment with Implicit Neural Shape Functions from Knee Radiographs

Latent Lessons from Histopathology: A Registration-Free Cross-Modal Supervision Framework for mpMRI-Based ISUP Grading

Latent-CURE: Interpretable Breast Cancer Diagnosis via Dual-Asymmetric Chain-of-Thought

Learnable Gaussian Prototype Guided Ordinal Learning for Fine-Grained WSI Grading

Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis

Learning Dual Prior Presentation for Opportunistic Screening of Visceral Artery Aneurysms on Non-Contrast CT

Learning Geometry-Aware Bundles with Spectral Heat Kernel Diffusion for fMRI-based Brain Disease Diagnosis

Learning Quantitative Calibration of Computed Tomography for Bone Mineral Density Estimation Using Multi-Center Data

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

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

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

LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation

LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making

Low-Rank Text-Guided Spectral Learning for Semi-supervised MHSI Segmentation

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

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

MAP-Diff: Multi-anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

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 What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

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

MedEnv: Scaling Multimodal Virtual Medical Environments for Long-Horizon Diagnosis

MedExpMem: Adapting Experience Memory for Differential Diagnosis

MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models

MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining

MedTS-TTT: Test-Time Training for Medical Time Series Classification

MiGAD: Gut Microbiota-informed Genetic Surrogates for Multimodal Alzheimer’s Disease Diagnosis

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

Mitigating Grade Boundary Conflicts for Disease Severity Grading with Ambiguous Labels

Modeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos

Motion-Conditioned Multi-view Fusion for Myocardial Infarction Localization from Echocardiography

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

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

Multi-Disease Diagnosis in Retinal Images via Patch-Level Reasoning and Selective Aggregation

Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift

Multimodal Large Language Model-Driven Self-Verification Reasoning for Interpretable Diagnosis of Diffuse Cystic Lung Diseases

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

N6-TreeMamba: Radiology Knowledge-Guided 6-Neighborhood Tree Scanning for 3D MRI-Based Stroke Complication Prediction

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

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation

Non-intrusive Body Composition Assessment from Full-Body mmWave Scans

Non-parametric Prototypes Enable Semantic Graph Learning for Whole-Slide Pathology

NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening

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

Oneclass4ASD: Autism Spectrum Disorder Screening via One-class Classifier

One-Shot Data Selection for Medical Image Classification via Graph Coverage

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

OphthFlowBench: A Unified Ophthalmology Multimodal Benchmark with Workflow-Aligned Evaluation

OPVD: On-Policy Chain-of-Visual-Thought Distillation for Medical Reasoning

Ordinal Priors for Colonoscopy Temporal Segmentation

Organ-Invariant Tumor Representation Learning via Disentangled Adversarial MAE for Multi-organ Ultrasound Imaging

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

PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

Patient-Conditioned Vision–Language Priors with Stable Mixture-of-Experts for Label-Efficient Alzheimer’s MRI Staging

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

Physiologically Consistent Missing Channel Reconstruction and Cascaded MoE for Impairment Categorization from Visual Electrophysiological Signals

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

PICA: Physics-Guided Implicit Neural Fields with Boundary Conditioning for Intracranial Aneurysm Hemodynamics

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

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

PoCoLT: Position-Aware Cross-Modal Learning with LLM-Decoupled Hierarchical Reports for TMD Diagnosis

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

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

Pressure-Tuned Auditor for Sycophancy-Resistant Breast Ultrasound VLM Diagnosis

Privacy-Preserving Video-Based Facial Palsy Recognition via Dynamic Facial Action Modeling

Prompt and Probe: Data-Efficient Adaptation of Black-Box Foundation Models via Unified Active Visual Prompting

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

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

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-based Physiological Transfer Enables NCCT-only Hyperacute Stroke Tissue-Window Segmentation Under Missing Perfusion

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging

Quantification of 3D Musculoskeletal CT Image-Based Biomarkers in the Lumbar Spine: Application in Metastatic Prostate Cancer

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

RACA: Rule-Aligned Collaborative Agents for Evidence-Grounded Breast Ultrasound Classification

RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation

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

RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping

RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

ReDIVE: A Two-Stage Hybrid Network for Keratitis Diagnosis via Retinex-based Enhancement and Depth-Informed Vertical Embedding

Reference-Guided Gradient Balancing Loss for Long-Tailed Multi-label Medical Image Classification

Reformulating Chest X-Ray Report Generation as Fine-Grained Visual Question Answering with Structured Clinical Report Templates

ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

Retinopathy of Prematurity Staging via Prototype-Evidential Learning

REVEAL++: Differentiable Phenotypic Grouping for Vision–Language Retinal Modeling of Alzheimer’s Disease Risk

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

S2GAIN: Spatio-Spectral Guided Affinity Imputation Network for Alzheimer’s Disease Diagnosis with Incomplete Modality

SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation

Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

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

Semantically Consistent Whole-Body PET/CT Report Generation with Local Lesion-Level Guidance

ShapeEFM: A Shape-Based Pretrained Foundation Model on ECG Morphology Comprehension

SHOT-CCR: Biologically Guided Adversarial Training for Test-Time Adaptation in Cellular Morphology

SLICE-MIL: Counterfactual Semantic Anchoring of Disentangled Evidence for Child-Pugh Grading

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

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models

Spatially-Aware Graph Geometric Representation for Lung Nodules Detection

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

SpikeEEGformer: A Spike-Driven Transformer for Generalized EEG Recognition

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes

StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-Contrast CT

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

Surgical Video Temporal Grounding

SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

SymmDiff: Symmetry-Guided Diffusion for Fracture Localization in Pelvic Radiographs

Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

Temporal Phase-Difference Guided Spatiotemporal Learning for DSA Vessel Segmentation

Test-Time Adaptation for ECG Classification via SQI-Gated Self-training and Beat-Rhythm Consistency

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-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

Think Global, Look Focal: Dual-Stream Retrieval-Augmented Pathology Report Generation for Whole Slide Images

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories

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

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

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

Uncertainty-Guided Conservative Propagation for Coronary Artery Segmentation

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

Unified Multimodal Model for Brain MRI Imputation and Understanding

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

Unsupervised Domain Adaptation for Pelvic Landmark Localization in CT and MR Using Landmark-Conditioned Synthesis

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

VCDA-Net: Graph-Guided Voxel-Cluster Density Attention for Global-Regional Brain Age Gap Estimation

VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

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

WaveDE: Wavelet-Routed Dual-Expert Network for Fundus Photograph Enhancement

Weakly-Supervised Temporal Decomposition with Graph Neural Networks for Parkinsonian Turning Assessment

When Does Uncertainty Become Meaningful in Medical Vision-Language Models? Alignment Enables Disease-wise Uncertainty and Risk-Aware Prediction

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers

Applications -> Connectivity & Network Analysis

A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics

A Multi-view, Hybrid, Hypergraph Learning Framework with Causal Perturbation for Early Alzheimer’s Disease Diagnosis

ACMap: Across-scales Connectivity Mapping of Primate Brain

Age Conditional Longitudinal Forecasting of Adolescent Functional Connectivity via Brownian Bridge Diffusion Models

Bayesian Topological Analysis of Brain Networks

BrainACU: Asynchronous Coordination Unit Modeling for Dynamic Brain Network Analysis

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

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

BrainWeaver: Weaving Dynamic Brain Networks with ROI-Guided Attention for Cognitive Assessment

Bridging EEG to fMRI: Semi-Supervised Functional Connectivity Translation via Latent Alignment

CMD-AD: Cross-Modality Distillation from fMRI-EEG for Single-Modality Alzheimer’s Disease Diagnosis

Collaborative Topology and Connectivity Learning for EM Neuron Segmentation

Community-Aware Dynamic Graph Learning for Brain Disorder Diagnosis

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning

Image-mediated fMRI-to-caption generation with visual pathway tokens and hyperbolic alignment

Joint Imaging–ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification

Joint-Level Motor Imagery Decoding in fNIRS via a Unified Pairwise Machine Learning Framework

Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

MS-GDUN: Multi-scale Graph Deep Unfolding Network with Gradient-Threshold Learning for FMT Reconstruction

Multilayer Modularity-Aware Graph Autoencoder for Detecting Subpopulation Community Structure in Dynamic Brain Networks

NetCorr: A Resection-Induced Network Perturbation Framework for Predicting Seizure Freedom in Drug-Resistant Epilepsy

NeuroFlow: Manifold-Aware Topological Flow Matching for EEG Decoding

Progressive Self-supervised Learning with Individualized Community Assignment for Brain Network Analysis

RefTr: Recurrent Refinement of Confluent Trajectories for 3D Tubular Tree Centerlines

Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain

UniFCHarm: Unified Prompt-Guided Harmonization of fMRI Functional Connectivity Across Scanners and Atlases

VCDA-Net: Graph-Guided Voxel-Cluster Density Attention for Global-Regional Brain Age Gap Estimation

Applications -> Digital Twins / Simulation / Synthetic Data

A Deep Learning Surrogate Model for Microwave Thermal Ablation: From Preoperative Planning to Intraoperative Re-planning

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-view Matching

Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

BIGUS: Beam Integrated Gaussian Scattering for Continuous Ultrasound View Synthesis

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI

Conditional Latent Diffusion Model with Fourier-Based Motion Modelling for Virtual Population Synthesis

Device-Constrained Real-Time EVD Catheter Segmentation

Digital Twin of the Lung from Wearable Biosignals for Real-Time Respiratory Monitoring

Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos

EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting

EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework

Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields

From Geometry to Clinic: A Physics-Aware Evaluation Framework and Benchmark for Automated Dental Crown Design

HeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction

HeartVolMesh: Cardiac Volumetric Mesh Reconstruction via Covariance-Guided Graph Deformation

HemoPIC: A Physics-Informed Cerebral Hemodynamics Digital Twin for Brain Perfusion

Interactive MWA Planning via Probabilistic Inverse Inference

LOT-Bridge: A Latent Optimal Transport Bridge Based on Signed Distance Fields for Automatic Skull Defect Reconstruction

MEC: Medical Evidence Capsules for Retrieval-Augmented Generation in Medical Multimodal Question Answering

MetaFormer: Efficient Metadata-Guided Transformer for Patient-Aware 12-Lead Electrocardiogram Reconstruction

OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva

OSCAR: Occupancy-Based Shape Completion via Acoustic Neural Implicit Representations

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

Physics-Informed Surrogate Model Using Graph Neural Network for Cardiac Electrophysiology

Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

PICA: Physics-Guided Implicit Neural Fields with Boundary Conditioning for Intracranial Aneurysm Hemodynamics

Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

RePCM: Region-Specific and Phenotype-Adaptive Bi-ventricular Cardiac Motion Synthesis

ReScan-IA: A Spatially-Adaptive Diffusion Framework for Controllable 3D Intracranial Aneurysm Inpainting

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

SHINE: An Entropy-Guided Digital Twin Framework for 3D Myocardial Scar Reconstruction from Sparse CMR

Spatiotemporal Modeling of Tumor Dynamics via Optimal Transport for Enhanced Longitudinal Analysis

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI

Subject-Specific Low-Field MRI Synthesis via a Neural Operator

SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

The Neuro-Developing Engine: a Surrogate Longitudinal Model for Infant Brain Dynamics Via Causal Distillation

Towards Versatile and Safe Multi-electrode Path Planning for SEEG Implantation

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

Applications -> Federated / Privacy-Preserving Analysis

Attribute-Aware Federated Learning with Pseudo-Bag Augmentation for Multi-Center WSI Classification

Differential Privacy Representation Geometry for Medical Image Analysis

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

Generative Anchor-Guided Federated Domain Generalization for Heterogeneous Pan Cancer Image Analysis

Harmless Copyright Protection for CT Dataset

High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement

Inversion from ECG Foundation Model

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models

Retrieval-Guided Semi-supervised Federated Learning for Medical Image Segmentation

VoxShield: Protecting 3D Medical Datasets from Unauthorized Training via Frequency-Aware Inter-Slice Disruption

Applications -> Image Reconstruction

A 3D Unrolling Framework for Joint Sodium MRI Reconstruction and Concentration Quantification

ALFA: Biplanar X-Ray Reconstruction via Anatomy-Latent Field Adaptation

Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-view Matching

Angio-Stitch: An Unsupervised Coarse-to-Fine Framework for Sequential Stitching of Confocal Laser Endomicroscopy Images

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

BIGUS: Beam Integrated Gaussian Scattering for Continuous Ultrasound View Synthesis

BiSA-DiT: A Bidirectional Spatially-Aware Diffusion Transformer for Sparse Tomographic Magnetic Particle Imaging

BREIT: A Framework for Brain Stroke Reconstruction using Multi-frequency 3D EIT

CardioGS: Deformation-Driven 4D Gaussian Splatting with Self-supervised Cardiac Clock Learning for Rotational DSA Reconstruction

Co-MoCo: Collaborative Learning Enabled Motion Compensation for Weight-Bearing CBCT

ConnecToMind2: Inter-Subject fMRI Decoding via Whole-Brain Connectome-Guided Alignment

Cross-channel Consistent Mamba for Extreme Limited-View Photoacoustic Tomography Reconstruction

CrownFusion: 3D Dental Crown Generation Using Geometry Images and Latent Diffusion

CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution

DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model

DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology

Diff-SABR: Diffusion-Based Symmetry-Aware Reconstruction of Alveolar Bone Defects from CBCT

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

DSCE-Net: Dual-Scale Conditioned Evolving Network with Balanced Optimization for All-in-One Medical Image Restoration

Dynamic Spatial-Temporal Mapping for EEG-to-fMRI Synthesis via Gaussian-Guided Heterogeneous Graph Neural Network

EA-LDM: Explicit Alignment Latent Diffusion Model for Patient-Specific CT Reconstruction from Bi-planar X-Rays

ECHO: Estimated Composite Hybrid Observation for Zero-Shot Self-Supervised MRI Reconstruction

EEGRFusion: Uncertainty-Aware EEG-to-Image Evidence for Adjunct Bedside Assessment of CMD in Disorders of Consciousness

Efficient Flow Matching for Sparse-View CT Reconstruction

EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting

ESRT: Endoscopic Stereo Reconstruction Transformer

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

FA-Diff: Leveraging Frequency-Aware RWKV Diffusion for OCT to Correlation-Stability Map Translation

Fast 3D Cell Volume Reconstruction from Multi-focus Images by Cross-modality Knowledge Distillation

FDMMBone: Flow-Based Conditional Deformable Mesh Modeling for Accurate 3D Bone Defect Completion

FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration

Frequency-Aware Post-Training Quantization for Medical Image Denoising

From Sparsity to Geometry: Spatial Modeling for 3D Reconstruction from Biplanar Bone X-rays

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

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

Inception-Powered Unrolling Reconstruction for Accelerated Dynamic Cardiac Late Gadolinium Enhancement MRI

Kinetics-Informed Neural Representation for Dual-Tracer Dynamic PET Separation

Knowledge Distillation-Driven Quality Transfer with Importance-Guided Supervision for Fundus Image Enhancement

LangOR: 3D Language Field Reconstruction for Operating Room

Large-Scale Distributed GPU-Accelerated Respiratory Motion-Resolved Reconstruction of 3D Non-cartesian mGRE MRI

Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography

Learning from Good Neighbors: Slice-wise Quality-aware CT-to-Diffusion MRI Synthesis

Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI

LumiState: Retinex-inspired Illumination Decoupling in 4D Gaussian Splatting for Endoscopic Reconstruction

Mamba Based Anisotropic Diffusion Model for Speckle Noise Reduction in Ultrasound Images

MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy

Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment

Multi-stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections

MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography

NeuroAlign: A Unified Plug-and-Play Enhancer for Visual and Linguistic Brain Decoding

NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

Occlusion-aware Disparity Estimation via Depth Prior Embedded Cost Volume for Stereo Endoscopic Images

Open World MRI Reconstruction with Bias-Calibrated Adaptation

P2R-Net: Physics-to-Reality SM Calibration Network with Sparse Measurement Guidance for High-Precision MPI Reconstruction

Peeling an Onion: Layer-Wise Doppler-Backprojected Ultrasound Microvascular Vector Flow Imaging

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

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

Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI

PiMoE: Physics-Informed Mixture-of-Experts for Accelerated MRI Reconstruction

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework

Reconstructing Isotropic 3D Cervical MRI from Anisotropic Clinical Scans via Anatomy-Style Decoupled INRs

S2DLight: Single Step Diffusion Network via Degradation-Aware Adaptation for Surgical Endoscopic Image Low-Light Enhancement

SAMoCo: A Learning-Initialized and Physics-Refined Framework for Sampling-Agnostic Motion Correction in MRI

Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception

Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding

Shared Gaussian Geometry for Brain MRI Spatial Resolution Harmonization Without External Training

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

SRPAN: Implicit Neural Slice-to-Volume Reconstruction for Super-Resolution Pancreatic MRI

Structure-Aware Sensorless 3D Ultrasound and Photoacoustic Reconstruction

Structure-Contrast Disentangled INRs for Accelerated Multi-contrast MRI Reconstruction

SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes

TAIR: Text-Guided Adaptive Prompt Refinement for Coarse-to-Fine all-in-One Medical Image Restoration

TCCT: Trajectory-Conditioned CBCT Reconstruction for Sinusoidal Non-circular Orbits with a Fourier Neural Operator

Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow

The Learnability Gap in Medical Latent Diffusion

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

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Trajectory-Aware Cross-Paradigm Transformers for Efficient System Matrix Calibration in Magnetic Particle Imaging

TriFlow: Triplane Latent Conditional Flow Matching for Efficient 3D Skull Shape Completion

Ultrafast Echocardiography Based on Dynamic Subspace-Guided and Temporal Adaptive Diffusion

UniField: A Unified Field-Aware MRI Enhancement Framework

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

Unsupervised and Segmentation-Free Phase Unwrapping for 4D Flow MRI Using Deep Image Prior

Volume-Fused Super-Resolution OCT Reveals Cellular-Level Structures in the Outer Segment Across Wider Fields Without Adaptive Optics

wBCAM: Windowed Bi-directional Cross-Attention with Mamba for Enhanced 3D Vascular Reconstruction in Free-Hand Photoacoustic and Ultrasound Imaging

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

Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians

Applications -> Image Registration

Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization

Angio-Stitch: An Unsupervised Coarse-to-Fine Framework for Sequential Stitching of Confocal Laser Endomicroscopy Images

Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis

Diffusion-Guided Anatomical Position Encoding for Dense Longitudinal CT Correspondence

DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration

Dual-Registration Reciprocal Super-Resolution for Prior-Guided Real-Time 4D-MRI

EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion

Efficient Conformal Volumetry for Template-Based Segmentation

End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery

FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration

FSE-Reg: Enhancing 3D Deformable Registration with Frozen Large-Scale Pre-trained Segmentation Encoders

Human-AI Collaboration for 2D/3D Registration Quality Assurance

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields

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

Joint Decomposition and Learned Deformation for Part-to-Whole MRI to Histology Registration

Joint Multi-modal Learning for Susceptibility-Induced Distortion Correction in Diffusion MRI

Keypoint Correspondence Learning for CBCT–IOS Registration

KGT-Reg: Knowledge-Guided Multimodal Framework for Medical Image Registration

Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography

Learning Hierarchical Anatomy-Grounded Representation for Cross-Modal Registration

Learning Modality-Invariant Structure and Distribution Alignment for Multimodal Medical Image Registration

Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases

Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

Non-linear INR-Based Motion Modeling for 4D Radiotherapy

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration

Optimal Steps for Fast Diffeomorphic Shape Registration

PathoMamba: Piecewise-Diffeomorphic Registration via Stiffness-Modulated State Space Dynamics

Really Need Recursion? Revisiting One-Pass Registration with Multi-Level Multi-Space Contextual Guidance

Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI

Shape-Aware Registration Without Pretraining: CT-Ultrasound Bone Surface Alignment via Instance-Level Shape Completion

SPEAR: Error-Guided Sparse Refinement for Scalable Deformable Medical Image Registration

SRPAN: Implicit Neural Slice-to-Volume Reconstruction for Super-Resolution Pancreatic MRI

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

Tooth Alignment via Virtual Trajectories with Clinical Constraints

Towards the Digital Dental Models: High-Fidelity CBCT-to-IOS Fusion via Anatomy-Aware Geometric Transformers

Trackerless Ultrasound Pose Estimation via Correspondence-Aware Tokenization and Flow-Matching Transformers

Uncertainty-Aware Spatio-Semantic Contextual Prompts for Multimodal Medical Segmentation

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation

Applications -> Image Segmentation

A Flexible Structure-Guided Feature Aggregation Paradigm for Efficient Vascular Representation

A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring

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 Versatile Prompt-Driven Framework for Brain Segmentation, Parcellation, and Surface Reconstruction from Diverse Modalities

ACA: Post-hoc Adaptive Logit Alignment for 3D Medical Image Segmentation

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

Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation

Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

AHPR-Net: Anatomy-aware Hierarchical Prompting Refinement Network for Spine Image Segmentation

AI-Driven Pulmonary Congestion Assessment for Lung Ultrasound via Segmentation-Guided Transformers

Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors

Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

Anatomy-Texture Aware Safe Gradient Guidance for Source-Free Domain Adaptive Echocardiography Video Segmentation

APEX-SAM: Anatomy-Aware Prompting with Expert Retrieval for Training-Free Medical Image Segmentation

Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

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

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

BiC-ODE: Bidirectionally Coupled Neural ODEs for Rapid Laminar Surface Reconstruction of the Human Cortex from 5T MRI

BiM-GeoAttn-Net: Linear-Time Depth Modeling with Geometry-Aware Attention for 3D Aortic Dissection CTA Segmentation

BioGuide: Biomedically-Guided Segmentation for Medical Tasks

BRAIN: Bi-directional Motion Reasoning with Dynamic Memory Pruning for Surgical Video Segmentation

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

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

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening

CDFP-Net: Cross-Modal Dynamic Fusion with Diffusion Priors for PET-CT Tumor Segmentation

CheXanatomy: Anatomy–Aware Vision–Language Modeling for Chest Radiographs

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

Collaborative Topology and Connectivity Learning for EM Neuron Segmentation

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Conditional Diffusion Prompting for Ambiguous Medical Image Segmentation

Conformal 3D Lesion Segmentation with Balanced Risk Control

CortexAdapt3D: Parameter-Efficient Fine-Tuning of General 3D Foundation Models for Cortical Surface Analysis

Counterfactual Stress-Testing for Fixing Lung Cancer Segmentation Models

CPS4: Class Prompt Driven Semi-supervised Spine Segmentation with Class-Specific Consistency Constraint

Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis

Cross-Surface Representation Learning for Accurate Gingiva Prediction in CBCT

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

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

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

DentalPSAM: Lifting SAM to Dental Plaque Segmentation with Hybrid 2D-3D Knowledge Fusion

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

Device-Constrained Real-Time EVD Catheter Segmentation

DiCoP-SAM: Disagreement-Band Guided Corrective Prompting for Collaborative Semi-Supervised Medical Image Segmentation

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

Discriminative Synergistic Temporal Diffusion for Ultrasound Video Thyroid Nodule Segmentation

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI

Displacement Preserving Relational Distillation for Robust Medical Segmentation

Distilling Temporal Coherence Into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation

DosePlug: Observation-Driven Dose Modeling for Robust Low-Dose Reconstruction and Segmentation

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

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

Dual-Space Cold-Start Active Learning Guided by SAM3 for Medical Image Segmentation

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

Dynamic Collaborative Continual Test-Time Adaptation for 3D Vessel Segmentation

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

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

ECLIPSE: EHR-Constrained Localized Inference for Pan-Tumor Segmentation

Efficient Conformal Volumetry for Template-Based Segmentation

Estimated Age-Guided Cerebral Microbleed Segmentation

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

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

FairPneum: Improving Fairness in Pneumonia Diagnosis and Lesion Segmentation

FDRAS: Failure Diagnosis and Repair for Airway Segmentation

Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

Fine-Grained Cerebrovascular Parsing in DSA via Structurally-Grounded Semantic Disentanglement

FluxCut: Shifting from Global Reconstruction to Local Geometry for Unsupervised Small Lesion Segmentation

Frequency and Geometry Guided Graph Clustering for Weakly Supervised Skin Lesion Segmentation

Frequency-Aware Prototype Learning in VLM for Intracranial Aneurysm HR-VWI Segmentation

Geometry-Aware Point-to-Voxel Fusion via Gaussian Splatting for Intracranial Aneurysm Segmentation

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

Glasses: Adapter-Enhanced DINOv3 with Boundary-Aware Multi-Scale Representations for Medical Image Segmentation

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

GU-SAM2: A Semi-supervised Medical Image Segmentation Framework via Gated Feature Fusion of MIM-Pretrained U-Net and SAM 2

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

HAR-MoE: Hierarchical Affinity-aware Routing Mixture-of-Experts for Unified Multi-Organ Ultrasound Analysis

HD-TTA: Hypothesis-Driven Test-Time Adaptation for Safer Brain Tumor Segmentation

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

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 Disentangled Consistency Learning for Semi-supervised Multi-modal Medical Image Segmentation

Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation

Hierarchical Region-Aware Multi-Granularity Mamba for White Matter Lesion Segmentation

Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

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

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Hyperbolic Vision-Language Interaction for Semi-supervised Medical Image Segmentation

IAVS: A Multi-center Dataset and Applicability Evaluation System for Computational Fluid Dynamics-Oriented Intracranial Aneurysm Segmentation

ImPartial: Multi-channel Whole-Cell Segmentation Using Partial Annotations

Improved Vascular Segmentation via Binary Flow Matching with Straight-Path Regularization

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Injecting a Low-Rank Background Prior: A Plugin for Medical Image Segmentation

Interaction-Aware Contrastive Multi-task Learning for Joint Segmentation and Malignancy Classification in Thyroid Ultrasound

Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability

Joint Segmentation and Graph-Based Skeletal Representation Learning with Geometric Priors

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

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

KiD-Seg: Kinetic-Disentangled Contrastive Learning with Anchor Guidance for Incomplete Multi-Modal Liver Tumor Segmentation

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

Latent-to-Latent Flow for Volumetric Stochastic Segmentation

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 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 Invariant Anatomical Representations from Multi-Sequence MRI for Brain Segmentation

Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases

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 to Segment Burns with Limited Labels: A Dual-Path Cascaded Network with Uncertainty-Guided Teacher Diffusion Exposure

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation

Low-Rank Text-Guided Spectral Learning for Semi-supervised MHSI Segmentation

MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

Measuring Prediction Uncertainty in Neural Cellular Automata

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models

MedFuse-Seg: Multi-level Visual and Semantic Context Fusion for Segmentation-Based Medical Reasoning

MedPro: Dual-View Propagation and Prototypical Assessment for Training-Free Few-Shot Medical Segmentation

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

MedTSC-Net: Bridging Semantic and Scale Gaps in Text-Guided Medical Image Segmentation

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

Merlin Plus: A Large-Scale, Multi-cancer, Image-Mask-Report Dataset

Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology

Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation

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

MRSeg3D: A Perturbation-Resilient Model for 3D Medical Reasoning Segmentation

MuellerPT: Decomposition Driven Pre-training for Dense Learning in Mueller Polarimetry

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift

Multimodal-Conditioned Flow Matching for Pathology Nuclei Data Augmentation

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

MVDA-Net: Multi-View Dual-Alignment Network for 3D Carotid Artery Segmentation

NoiBox: Safeguard Frontier via Reverse Adversarial Diffusion for Noisy-Box-Supervised 3D Tumor Segmentation

Non-Stationary Spectral State-Space Networks with Region-Wise Frequency Routing for Robust Fundus Vessel Segmentation

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

Organ-Invariant Tumor Representation Learning via Disentangled Adversarial MAE for Multi-organ Ultrasound Imaging

PANet: Probability-Anchored Network for Ultrasound Bone Segmentation

PAVL: Enhancing Feature Prototype Alignment with Vision–Language Model for Semi-supervised Medical Image Segmentation

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

Perfusion Aware Infarct Core and Penumbra Segmentation on NCCT with Region Constraints

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction

Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

PoseBridgeNet: Learning a Pose-Evolving Schrödinger Bridge for Multi-Organs Segmentation in Prenatal Volumetric Ultrasound

POT-SAM3: Prompt-Only Tuning for One-Shot Electron Microscopy Segmentation

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

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

Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation

PromptMedCT: A Training-Free LLM-Guided Framework for Volumetric CT Data Realization with Quantifiable Disease Manifestations and Multi-Tier Annotations

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

Protocol-Manifold Coverage Learning (PMCL): Source-Free Active Adaptation for Multi-Center Nasopharyngeal Carcinoma MRI Segmentation

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

Quality-Guided Semi-supervised Learning for Medical Image Segmentation

Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation

R2P-SAM: Root-to-Prompt Hair Instance Segmentation with Geometric Priors under Point Supervision

RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy

RDE-Seg: Role-Disentangled Experts with Residual Routing and Anatomy Constraints for DSA Guidewire Segmentation

Reducing Expert Annotation Effort for CTA Vessel Delineation with Synthetic Pretraining

Refining 3D Medical Segmentation with Verbal Instruction

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

ReMiX-Seg: Latent Modality Completion Meets Expert Routing for Robust Glioma Segmentation

ReportX: The BraTS Clinical Report Dataset

Representation Learning with Distance-Residualized Functional Connectivity for Cortical Parcellation from rs-fMRI

Residual-Aware Structured Pruning with Dual-Stream Alignment for Adapter-Tuned SAM

Resolution-Conditioned Representation Learning for Unified Brain MRI Modeling

Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation

Retrieval-Guided Semi-supervised Federated Learning for Medical Image Segmentation

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 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

S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation

SAM2 as a Key Bridge Between 2D Slices and 3D Volumes for Sparsely-supervised Medical Image Segmentation

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

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

SCKAN: Structural Consensus-Based KAN Prototype Learning for Semi-supervised Pancreas Segmentation

SD-SAM: Synergizing SAM and DINOv3 for Parameter-Efficient Polyp Segmentation and a Challenging Benchmark Dataset

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

Self-auditing Parameter-Efficient Fine-Tuning for Few-Shot 3D Medical Image Segmentation

Self-supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping

Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation

S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation

Shape-Adaptive Guidance Signal for Interactive Cortical Sulcal Labeling

SHINE: An Entropy-Guided Digital Twin Framework for 3D Myocardial Scar Reconstruction from Sparse CMR

Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation

SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment

SkepticalNet: A Safety-Aware Interactive Segmentation Framework for Neuro-Oncology

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation

Slim nnU-Net: Revisiting nnU-Net Self Configuration from an Optimization Angle

SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis

Source-Free Domain Adaptation for Medical Image Segmentation via LLM-Agent Collaboration

Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes

SSPT: Spiking Serialized Point Transformer for Couinaud Segmentation in 3D Medical Data

Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation

Surgical Anatomy Recognition with Context Learning using Foundation Representations

SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes

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

Task-Performance Routing for Multi-teacher Distillation in CT Medical Image Segmentation

TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation

Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided

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-Deficient Multimodal Stroke Segmentation with Lesion-Grounded Self-Retrieval-Augmented Generation

Text-Guided Multi-frequency Latent Diffusion for Medical Image Segmentation

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation

Toward Synergistic Learning for Liver Vessel and Couinaud Segmentations

Towards Direction-Equilibrated Segmentation in 3D Medical Images

Towards Unified Image–Video Modeling Across B-Mode and Contrast-Enhanced Ultrasound for Multi-task Analysis

Tracer-Adaptive Expert Learning for Generalizable PET Lesion Segmentation

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Tri-KA: Tri-level knowledge anchoring test-time adaptation for source-free cross-site MRI rectal cancer segmentation

TrustSyn: Reliable and Divergent Synergy for Mixed-Domain Fundus Segmentation

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

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

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

UniLiver: Gradient-Conditioned Unified Model for Multi-target Hepatic Segmentation

VesselSim: learning 3D blood vessel segmentation without expert annotations

VigilSAM3: Reinforcement-Optimized Memory Gating for Ultra-Long Surgical Video Segmentation

ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model

VM-NeXT UNet: Synergizing ConvNeXT and Visual Mamba for Robust Medical Image Segmentation

VoxShield: Protecting 3D Medical Datasets from Unauthorized Training via Frequency-Aware Inter-Slice Disruption

WaCT-US: Cyclic-Alignment Scaled Contour Tubes for Efficient, Calibrated Uncertainty in Echocardiography

Wavelet-Guided Spectral–Spatial Learning for Medical Hyperspectral Image Segmentation

Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling

When Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography

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

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Applications -> Image Synthesis / Augmentation / Super-Resolution

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization

Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

AsynDiff: Asynchronous-Timestep Diffusion with Noise-Aware Attention for Multi-sequence MRI Synthesis

Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants

Automated Disentangling Analysis of Skin Colour for Lesion Images

BIGUS: Beam Integrated Gaussian Scattering for Continuous Ultrasound View Synthesis

Breaking Teacher’s Mean Regression Bias: Boundary-Aware Contrastive Distillation for Endoscopic Super-Resolution

Cardiac Motion Transfer with Adaptive Physics Constraint

CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

CONNECT-4: Brain Connectivity-Guided Hyperedge Graph Fusion for Structural MRI to 4D Rest Functional MRI Synthesis

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

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

Controllable Histopathology Image Synthesis with Training-Free Structural Initialization and Textural Modulation

Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis

CrownFusion: 3D Dental Crown Generation Using Geometry Images and Latent Diffusion

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

Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model

DepthPilot: From Controllability to Reliability in Colonoscopy Video Generation

DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image Classification

Distilling Photon-Counting CT Into Routine Chest CT Through Clinically Validated Degradation Modeling

Do Not Break the Vessels: Structure-Preserving Mean Flow for Vascular Image Translation

DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy

DTI-Guided Volumetric Spherical Harmonics Regression for Single-to-Multi-shell dMRI Synthesis

Dual-Registration Reciprocal Super-Resolution for Prior-Guided Real-Time 4D-MRI

Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

FA-Diff: Leveraging Frequency-Aware RWKV Diffusion for OCT to Correlation-Stability Map Translation

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics

From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction

G3R: Gaussian-Based Geometry-Guided Reconstruction for Fetal Brain MRI

Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

KiMoCo-Net: Dual-Domain Learning for MRI Motion Artifact Correction

Learning Diverse and Realistic Polyp Data via Style-Fused Diffusion Models

Learning from Good Neighbors: Slice-wise Quality-aware CT-to-Diffusion MRI Synthesis

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

LeGend: Lesion-Guided Longitudinal CXR Generation via Gaussian-Biased Causal Attention

LoHi-Net: A Low-to-High Hierarchical Wavelet Network for Laparoscopic Surgical Smoke Removal

Low-Rank Velocity Fields as a Structural Prior for Unsupervised 4D Medical Image Interpolation

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

Mask-Guided Attention Regulation for Anatomically Consistent Counterfactual CXR Synthesis

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation

Memory-Guided Random-Direction Feature Disentanglement Model for Multi-phase MRI Translation

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation

Multimodal-Conditioned Flow Matching for Pathology Nuclei Data Augmentation

Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis

NASD-Diff: A Noise-Assisted Structural Difference Diffusion Model for CT Angiography Generation from NCCT

NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

Ordinal Diffusion Models for Color Fundus Images

OrthoFlow: Decoupled Landmark Prediction and Image Synthesis for Orthodontic Treatment Outcome Visualization

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

Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

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

PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors

Physics-Driven Cold Diffusion with Severity-Aware Sampling and Adaptive Degradation Estimation for MRI Motion Artifact Removal

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

Prior-Guided Hierarchical Vector Quantized-VAE for Digital Subtraction Angiography Generation

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

ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression

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

ReScan-IA: A Spatially-Adaptive Diffusion Framework for Controllable 3D Intracranial Aneurysm Inpainting

Residual Diffusion Bridge in Wavelet Space for Medical Image Translation

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation

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

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

Seamless Whole Slide Label-Free Virtual Staining

Semantic-Aware Organ-Level Esophageal Tumor Synthesis via Latent Rectified Flow

Sequence-Conditioned Flow-Based Models for Digital Phantom Generation in MRI

Shape-Aware Registration Without Pretraining: CT-Ultrasound Bone Surface Alignment via Instance-Level Shape Completion

Shared Gaussian Geometry for Brain MRI Spatial Resolution Harmonization Without External Training

Single-Subject Multi-view MRI Super-Resolution via Implicit Neural Representations

SRPAN: Implicit Neural Slice-to-Volume Reconstruction for Super-Resolution Pancreatic MRI

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

Subject-Specific Low-Field MRI Synthesis via a Neural Operator

SuRe-Flow: Surface-to-CT Synthesis via Retrieval-Augmented Rectified Flow for CT-Free Superficial Radiotherapy

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

SynHydro: Biomechanics-Driven Domain Randomization for Hydrocephalus-Agnostic, Generalizable Tissue-Ventricle Segmentation Across Age, Modality, and Resolution

TAIR: Text-Guided Adaptive Prompt Refinement for Coarse-to-Fine all-in-One Medical Image Restoration

TGH-DB: Template-Guided Heteroscedastic Diffusion Bridge for Brain MRI-to-PET Synthesis

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

TOFlow: Learning-Based Isotropic Reconstruction and Flow Mapping from Multi-orientation TOF-MRA

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Trustworthy Endoscopic Super-Resolution

Tumor-Aware Direct Preference Optimization for Longitudinal Post-operative MRI Generation

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

Unified Multimodal Model for Brain MRI Imputation and Understanding

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

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

VecHeart: Holistic Four-Chamber Cardiac Anatomy Modeling via Hybrid VecSets

VesselSim: learning 3D blood vessel segmentation without expert annotations

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation

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

WaveDE: Wavelet-Routed Dual-Expert Network for Fundus Photograph Enhancement

WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians

Applications -> Image-Guided Interventions

3D Cerebrovascular Shape Completion from Biplane Angiography and CTA Prior

A Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

All-in-One Augmented Reality Guided Head and Neck Tumor Resection

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

Cervical Vertebral Maturation Staging from a Continuous Perspective

Compass: Prostate Cancer Detection Needs Multi-view Context

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

Device-Constrained Real-Time EVD Catheter Segmentation

DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration

Fine-Grained Cerebrovascular Parsing in DSA via Structurally-Grounded Semantic Disentanglement

FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration

FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance

From Perception to Anticipation: Forecasting Vessel–Instrument Interactions in Endoscopic Surgery under Unreliable Observations

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

Hi-FL: Hierarchical Federated Learning Adaptation of Vision-Language Models for Multi-Institutional Surgical Phase Recognition

Human-AI Collaboration for 2D/3D Registration Quality Assurance

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

Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning

Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-Based Optimization

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

Multi-Stage Dilated Convolution-Mamba Network for Surgical Action Triplet Recognition

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

OrthoFlow: Decoupled Landmark Prediction and Image Synthesis for Orthodontic Treatment Outcome Visualization

PhaseMamba: Two-Stage Learning from Short Clips to Full Procedures for Online Surgical Phase Recognition

Physics-Based iOCT Sonification for Real-Time Interaction Awareness in Subretinal Injection

Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction

Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization

Planning the Perfect Burn: Multi-objective PSO for Multi-needle Thermal Ablation

Proto-CAP: Prototype Memory Fusion and Curriculum-Adaptive Loss for Pediatric Myopia Visual Question Answering

Real-Time 6D Ultrasound Probe Pose Tracking in Freehand Scanning

Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework

Robotic Ultrasound Makes CBCT Alive

SeedPro: Place Brachytherapy Seeds Like Expert Clinicians via Hierarchical Reinforcement Agents

Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception

Selective Confidence Fusion for Specular Highlight Detection in Medical Images

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary

SurgZSD: Zero-Shot Surgical Action Triplet Detection via Attribute Composition and Clinical Feasibility Inference

SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space

Test-Time Adaptation for Rare Surgical Phase Recognition: Bridging the Coverage-Gap Paradox

Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided

Towards Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D–2D Registration for Liver Laparoscopy

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

Where Is the Needle Tip? VA Sensing Reveals Hidden Needle-Tissue Transitions During US Guidance

Applications -> Medical Robotics

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

CAG-WM: A Synthetic-Data-Driven Coronary World Model for Autonomous Guidewire Navigation

From Scanning Guidelines to Action: A Robotic Ultrasound Agent with LLM-Based Reasoning

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

PhysioSplat: Physics-Informed Dynamic Gaussian Splatting for Surgical Scene Reconstruction

R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration

Robotic Ultrasound Makes CBCT Alive

SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space

TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

Wrist Camera Pose-Guided Multi-view Fusion for Occlusion Reconstruction in Robot-Assisted Microsurgical Anastomosis

Applications -> Multimodal Integration with Clinical / Genomic / Biomarkers

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management

A Modality-Aware Mixture-of-Experts Framework for Clinical Multimodal Breast Ultrasound Diagnosis

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

Asym-MSF: Asymmetric Multi-scale Structural Fusion for Robust BCVA Prediction with Self-supervised Fidelity Constraints

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use

CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis

ClinRAG-GRAPH: Clinical-Prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction

Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

Cross-Modal Prediction of DNA Methylation from Histology Images

Cycle-Verified Gentle Teaching and Confusion Correction for Label-Scarce Cross-Modal Single-Cell Annotation

Decouple and Reason: Anatomically Guided Two-Stage Grounding of Lung Lesions in 3D Chest CT from Free-Text Reports

Di-PACT: Discrete Prognosis via Aligned Co-Topology of Pathways and Tumor Microenvironment

DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy

DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy

Dual-Modality Neural Network Integrating Sequence and Structural Information for Drug-Target Interaction Prediction

DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos

Estimated Age-Guided Cerebral Microbleed Segmentation

Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities

Explainability in Multimodal Deep Transformation Models for Stroke Outcome Prediction

FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance

GeneRAG: A Retrieval-Augmented Framework for Spatially Resolved Gene Expression Prediction

Genetically Aligned Patient Representations Improve Hematological Diagnosis

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

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

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

HiProS: A Hierarchical Prompt Selection for Stage-wise Vision–Language Alignment in Medical Image Segmentation

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

Interpretable Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

KJD-25K: A 3D Multi-modal Dataset and Benchmark for Knee Joint Diagnosis

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics

LLM-Steered Clinical Knowledge Discovery for CVD Outcome Modeling

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision–Language Models

Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

MedObvious: Exposing the Medical Moravec’s Paradox in VLMs via Clinical Triage

MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage

MSHF-Net: Multimodal Breast Cancer Molecular Subtype Prediction via Segmentation-Guided Hierarchical Fusion Network

Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction

Multi-regional CT Radiomics Fusion to Quantify Pathology-Derived Pollutant Burden in Lung Cancer

N6-TreeMamba: Radiology Knowledge-Guided 6-Neighborhood Tree Scanning for 3D MRI-Based Stroke Complication Prediction

Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations

PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis

PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review

Radiogenomics-Driven Hierarchical Multimodal Stacking for Non-invasive Triage of High-Risk PKD1-Truncating Genotypes in ADPKD

RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models

RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping

ReportX: The BraTS Clinical Report Dataset

Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

Retrieval-Based Mixture-of-Experts for Patient-Specific Cancer Survival Prediction with Incomplete Multimodal Data

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

SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

Skin2Mind: A Multimodal Framework for Mental Health Risk Screening via Facial Images and Structured Skin Reports

Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology

SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

Text as a Compass: Semantic-Navigated 3D Bone Collapse Prediction via Orthogonal Micro-volume Primitives

Text as the Sieve: Information Bottleneck Guided Prototype Sieving for Text-Guided Medical Image Segmentation

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories

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

Tracer-Adaptive Expert Learning for Generalizable PET Lesion Segmentation

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

Applications -> Neuropsychiatry & Mental Health Imaging

A Multi-view, Hybrid, Hypergraph Learning Framework with Causal Perturbation for Early Alzheimer’s Disease Diagnosis

BrainACU: Asynchronous Coordination Unit Modeling for Dynamic Brain Network Analysis

Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining

BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults

GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment

Joint Imaging–ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification

Latent Pathology–Age Decoupling in Functional Connectivity Graphs for Multi-task Schizophrenia Assessment

Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

S2GAIN: Spatio-Spectral Guided Affinity Imputation Network for Alzheimer’s Disease Diagnosis with Incomplete Modality

SA-CFM: Structure-Aware Continuous Flow Matching for Normative Modeling of EEG Microstate

Skin2Mind: A Multimodal Framework for Mental Health Risk Screening via Facial Images and Structured Skin Reports

Stage-Aware Adaptive Reaction–Diffusion Framework for Modeling Alzheimer’s Disease Progression with Tau and Amyloid-β PET Scans

Weakly-Supervised Temporal Decomposition with Graph Neural Networks for Parkinsonian Turning Assessment

Applications -> Other

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring

AC-MIL: Weakly-Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

Automated Disentangling Analysis of Skin Colour for Lesion Images

Brain-TM: Decoding Brain States from Functional Networks Using a Hierarchical Spatiotemporal Transformer-Mamba

CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

Cell-Division-Aware Category-Enhanced Contrastive Learning Model for Embryonic Cleavage Stage Classification

CoGE: Sim-to-Real Online Geometric Estimation for Monocular Colonoscopy

Confidence-Aware Supervision for Robust Multi-task Embryo Grading

ConstTrack: Constellation-Guided Cell Tracking Under Lineage Constraints

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

Counterfactual Contrastive Analysis

Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

Dual-Stage Course-to-Fine Tooth Alignment Framework with Decoupled Position, Orientation and Shape Features

EchoFID: A Multi-teacher Distilled Evaluation Network for Cardiac Ultrasound Image Generation

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

Frequency-Aware Neural Architecture Search with Bidirectional Mamba for EEG Emotion Recognition

From Geometry to Clinic: A Physics-Aware Evaluation Framework and Benchmark for Automated Dental Crown Design

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

Gene-Selective Morphological Conditioning with Heteroscedastic Flow Matching for Spatial Transcriptomics

Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-identification

Harmonic Kernel Mixing for Interpretable Oculomotor Event Segmentation in Video-Nystagmography

HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields

LangOR: 3D Language Field Reconstruction for Operating Room

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

LOT-Bridge: A Latent Optimal Transport Bridge Based on Signed Distance Fields for Automatic Skull Defect Reconstruction

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

MDL-DA Track: Self-supervised Sperm Motility Direction Learning and Density-Adaptive Association for Sperm Tracking

MedCenterDet: A Center-Based Object Detection Framework for 3D Medical Image

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

Medical Image Spatial Grounding with Semantic Sampling

MetaVFM: Meta-Learned Efficient Adaptation of Vision Foundation Models for Medical Imaging

MicroscopyCLIP: A Domain-Specific Vision-Language Model for Optical Microscopy

MMIC-EndoDepth: Self-Supervised Endoscopic Depth Estimation with Multi-Mechanism Illumination Correction

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

Multi-Expert Representation Learning with Dynamic Routing for Brain Captioning

NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction

Non-intrusive Body Composition Assessment from Full-Body mmWave Scans

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

On-Manifold Variational Learning with Heat-Kernel Priors

Ontology-Grounded Structured Prediction for Dental CBCT Reporting

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins

Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

Research Design Considerations for Empirical User Studies in MICCAI

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning

R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

Situational context embedding and knowledge-based grounding for LLMs in surgical training assistance

SlideGuard: WSI Artifact Detection Benchmark

SS-IoSR: Self-supervised Intraoral Scans Repair

Structural Congruence Matters: Biological Pretraining for Vascular Graph Extraction

Structural-Semantic Aware Information Reduction for Asymmetric EEG-Visual Alignment

Subject- and Task-Aware EEG Foundation Model

Sub-Resolution Monocyte Detection in Time-Lapse MRI: A Benchmark

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

The Paper Has a GitHub, the GitHub Has a README, the README Has Nothing: Reproducibility Signals for Review Support

TopoOR: A Unified Topological Scene Representation for the Operating Room

Toward Markerless Video-Based Tremor Analysis: Objective Quantification of Pathological Tremor in Mouse Preclinical Models

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

VecHeart: Holistic Four-Chamber Cardiac Anatomy Modeling via Hybrid VecSets

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video

Wavelet-Enhanced Coarse-to-Fine Radiology Report Generation with Large Language Models

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

Where Is the Needle Tip? VA Sensing Reveals Hidden Needle-Tissue Transitions During US Guidance

Applications -> Outcome Prediction / Prognosis / Longitudinal Modeling

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management

A Deep Learning Surrogate Model for Microwave Thermal Ablation: From Preoperative Planning to Intraoperative Re-planning

A Heterogeneous Prognosis Prediction Framework with Global Brain Connectivity and Local Image Features

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Age Conditional Longitudinal Forecasting of Adolescent Functional Connectivity via Brownian Bridge Diffusion Models

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

Are Foundational Models Less Biased Than Specialized Models? An Ultrasound Study

AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression

Benchmarking Video Foundation Models for Remote Parkinson’s Disease Screening

Beyond the Batch: Momentum-Updated Virtual Cohorts for 3D PET-CT Prognosis

Bidirectional Anatomy-Aware Post-Training for Longitudinal Chest X-Ray Progression Modeling

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision–Language Prognostic Modeling in Hepatocellular Carcinoma

Boundary-Aware Multi-Granularity Learning for Depression Severity Estimation

Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining

BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use

BrainWeaver: Weaving Dynamic Brain Networks with ROI-Guided Attention for Cognitive Assessment

Case-Specific Priors-Guided Multimodal Fusion for Prognosis Prediction in Head and Neck Cancer

Cervical Vertebral Maturation Staging from a Continuous Perspective

CIGTSurv: Clinical Information Guided Tri-Modal Survival Prediction with Local Prototype Association and Global Feature Alignment

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

Clinically-Grounded Hierarchical Classification for Consistent Chest X-ray Interpretation

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

Decoding the Alzheimer’s Continuum: Interpretable Multi-gate Routing for Diagnosis and Transition Prediction

Deep-IMMA: an Interpretable Immune-Aware Multimodal Deep Representation Learning for Cancer Prognosis and Recurrence Prediction

Demographic-Conditioned State Space Models for ECG-Based Age Estimation

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

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

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

EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion

ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs

Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities

Explainability in Multimodal Deep Transformation Models for Stroke Outcome Prediction

From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision-Language Pretraining

From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

GGFI-Net: Genomics-Guided Cross-Modal Imputation for Multimodal Survival Analysis with Missing Modality

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

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

Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition

LeGend: Lesion-Guided Longitudinal CXR Generation via Gaussian-Biased Causal Attention

LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics

Longitudinal Multi-view Modeling for Breast Cancer Risk Prediction

MamaDino: Mammography-Aware Multi-view Attentional DINO for 3-Year Breast Cancer Risk Prediction

MASurv: Risk-Conditional Martingale Adversarial Training for Calibrated Multi-slide Survival Prediction in Whole-Slide Histopathology Images

Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

MSHF-Net: Multimodal Breast Cancer Molecular Subtype Prediction via Segmentation-Guided Hierarchical Fusion Network

Multi-depth Rubidium PET Graph Neural Network for Major Adverse Cardiac Event Prediction

NetCorr: A Resection-Induced Network Perturbation Framework for Predicting Seizure Freedom in Drug-Resistant Epilepsy

Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction

OrthoFlow: Decoupled Landmark Prediction and Image Synthesis for Orthodontic Treatment Outcome Visualization

OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction

Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI

PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning

Preoperative Simulation of Personalized Breast Reconstruction via Implant Prior Controllable Diffusion

Quantification of 3D Musculoskeletal CT Image-Based Biomarkers in the Lumbar Spine: Application in Metastatic Prostate Cancer

RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

Real-Time Prediction of Impending Severe Fetal Distress Using Deep Learning on Fetal Heart Rate Monitoring

Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy

Spatiotemporal Modeling of Longitudinal MRI with Causal Graph Reasoning for Breast Cancer pCR Prediction

SPHARM-Mamba: Rotation-Invariant Multiscale Modeling for Brain Age Prediction

Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

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

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

TCFD-Net: Temporal-Calibrated Feature Disentanglement Network for Dual-Timepoint CT-Based Immunotherapy Response Prediction in Advanced Non-small Cell Lung Cancer

TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction

Testable Concept Bottlenecks for Pretreatment pCR Prediction in Breast DCE-MRI: Faithfulness and Reliability

Text as a Compass: Semantic-Navigated 3D Bone Collapse Prediction via Orthogonal Micro-volume Primitives

TGBD-Net: Tumor-Guided Bridging Distillation for Joint EGFR Mutation and Survival Prediction in Lung Cancer from CT Imaging

TRIAGE-MIL: Multi-axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

When, Where, and How: Adaptive Binning for Tabular Self-supervised Learning

Applications -> Public Health Imaging & Epidemiology

FedSwitch: From Standard to Balanced Aggregation via Private Histogram Estimation in Federated Medical Image Classification

Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection

MamaDino: Mammography-Aware Multi-view Attentional DINO for 3-Year Breast Cancer Risk Prediction

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

MLLM-Enhanced Region-Aware Bidirectional Evidence-Based Model for Tongue Diagnosis

Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction

Non-intrusive Body Composition Assessment from Full-Body mmWave Scans

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

Applications -> Visualization in Biomedical Imaging

ACMap: Across-scales Connectivity Mapping of Primate Brain

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis

EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

Explainability in Multimodal Deep Transformation Models for Stroke Outcome Prediction

Faithful, Interpretable Chest X-ray Diagnosis with Artifact-Free B-cos Networks

Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields

From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction

Geometry-Aware Manifold Trajectory Modeling for Task fMRI Activation Mapping

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

MS-GDUN: Multi-scale Graph Deep Unfolding Network with Gradient-Threshold Learning for FMT Reconstruction

P2R-Net: Physics-to-Reality SM Calibration Network with Sparse Measurement Guidance for High-Precision MPI Reconstruction

Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization

Preoperative Simulation of Personalized Breast Reconstruction via Implant Prior Controllable Diffusion

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

SONIC: Sonographer-Inspired Conceptual Explanation for Neural Networks

Sparse Autoencoders for Interpretable Medical Image Representation Learning

TracerAD: Training-Free Few-Shot 3D Anomaly Detection for Novel PET Tracers

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Trajectory-Aware Cross-Paradigm Transformers for Efficient System Matrix Calibration in Magnetic Particle Imaging

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

Vision-Based Force Estimation Using Brain Surface Deformation Models

wBCAM: Windowed Bi-directional Cross-Attention with Mamba for Enhanced 3D Vascular Reconstruction in Free-Hand Photoacoustic and Ultrasound Imaging

Body -> Abdomen

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 Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

A Real-World Evaluation of Failure Detection for Liver CT Segmentation

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

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

Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation

Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

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

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision–Language Prognostic Modeling in Hepatocellular Carcinoma

Breaking Teacher’s Mean Regression Bias: Boundary-Aware Contrastive Distillation for Endoscopic Super-Resolution

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

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening

CoGE: Sim-to-Real Online Geometric Estimation for Monocular Colonoscopy

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Computer-Assisted Intervention in Capsule Endoscopy: A Real-Time Edge-AI Auditing System

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

CSAM-HQ: A Multi-stage Refinement Framework for Surgical Instrument Segmentation based on SAM and Probabilistic Graphical Models

CT2-DiT: Enabling Abdominal Non-contrast to Contrast-Enhanced CT Translation with Diffusion Transformers in the Low-Data Regime

CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

DepthPilot: From Controllability to Reliability in Colonoscopy Video Generation

DiagMIL: Uncertainty-Gated Coarse-to-Fine Multi-resolution MIL for WSI Diagnosis

DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation

Disentangling Uterine and Bladder Activity in Paired EHG-MRI Data Using Anatomy-Guided Multicluster Beamforming

Displacement Preserving Relational Distillation for Robust Medical Segmentation

DSCE-Net: Dual-Scale Conditioned Evolving Network with Balanced Optimization for All-in-One Medical Image Restoration

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

Dual-Registration Reciprocal Super-Resolution for Prior-Guided Real-Time 4D-MRI

Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

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

E-MRL: Cross-View Aligned Evidence-Driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis

EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video

EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework

ESRT: Endoscopic Stereo Reconstruction Transformer

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

FA-Diff: Leveraging Frequency-Aware RWKV Diffusion for OCT to Correlation-Stability Map Translation

Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters

From Perception to Anticipation: Forecasting Vessel–Instrument Interactions in Endoscopic Surgery under Unreliable Observations

FSE-Reg: Enhancing 3D Deformable Registration with Frozen Large-Scale Pre-trained Segmentation Encoders

GCM-Net: Anatomy-Aware Gaussian-Contrastive Multi-layer Fusion Network for Abdominal Ultrasound Standard Plane Classification

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

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

Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets

Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images

HiEDL: Hierarchical Evidential Deep Learning for Uncertainty-Aware Tumor Segmentation from 3D CT via Boundary Regularization

Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation

Hi-FL: Hierarchical Federated Learning Adaptation of Vision-Language Models for Multi-Institutional Surgical Phase Recognition

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Injecting a Low-Rank Background Prior: A Plugin for Medical Image Segmentation

Interactive MWA Planning via Probabilistic Inverse Inference

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

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation

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

KS-SAM: Kolmogorov-Arnold-driven Shape Alignment for Single-Domain Generalization in 3D Medical Image Segmentation

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

Learnable Gaussian Prototype Guided Ordinal Learning for Fine-Grained WSI Grading

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation

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 Hierarchical Anatomy-Grounded Representation for Cross-Modal Registration

Learning Modality-Invariant Structure and Distribution Alignment for Multimodal Medical Image Registration

Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations

Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

LoHi-Net: A Low-to-High Hierarchical Wavelet Network for Laparoscopic Surgical Smoke Removal

Low-Rank Text-Guided Spectral Learning for Semi-supervised MHSI Segmentation

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

LumiState: Retinex-inspired Illumination Decoupling in 4D Gaussian Splatting for Endoscopic Reconstruction

MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification

Making HE Histopathological Images More Colorful by Conditional Flow Matching

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

Medical Image Spatial Grounding with Semantic Sampling

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

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

Memory-Guided Random-Direction Feature Disentanglement Model for Multi-phase MRI Translation

Merlin Plus: A Large-Scale, Multi-cancer, Image-Mask-Report Dataset

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

MM-UNet: Meta Mamba UNet for Volumetric Medical Image Segmentation

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation

Multi-Stage Dilated Convolution-Mamba Network for Surgical Action Triplet Recognition

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

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration

Ordinal Priors for Colonoscopy Temporal Segmentation

PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis

PhysioSplat: Physics-Informed Dynamic Gaussian Splatting for Surgical Scene Reconstruction

Planning the Perfect Burn: Multi-objective PSO for Multi-needle Thermal Ablation

PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

PoseBridgeNet: Learning a Pose-Evolving Schrödinger Bridge for Multi-Organs Segmentation in Prenatal Volumetric Ultrasound

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation

RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review

Radiogenomics-Driven Hierarchical Multimodal Stacking for Non-invasive Triage of High-Risk PKD1-Truncating Genotypes in ADPKD

RaLMPH: Reliability-Aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification

RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery

RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception

Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

ReMeDI: Refined Memory for Disambiguation of Identities with SAM3 in Surgical Segmentation

Residual Diffusion Bridge in Wavelet Space for Medical Image Translation

Residual-Aware Structured Pruning with Dual-Stream Alignment for Adapter-Tuned SAM

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning

R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration

Robust Colonoscopy Video Polyp Segmentation via Quality-Aware Memory and Prototype Alignment

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

SAFE-Diff: Structurally Anchored Diffusion for Anatomically Faithful CT Image Super-Resolution

SAM2 as a Key Bridge Between 2D Slices and 3D Volumes for Sparsely-supervised Medical Image Segmentation

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

SCKAN: Structural Consensus-Based KAN Prototype Learning for Semi-supervised Pancreas Segmentation

SeedPro: Place Brachytherapy Seeds Like Expert Clinicians via Hierarchical Reinforcement Agents

S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation

Single-Subject Multi-view MRI Super-Resolution via Implicit Neural Representations

SLICE-MIL: Counterfactual Semantic Anchoring of Disentangled Evidence for Child-Pugh Grading

Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory

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

SSPT: Spiking Serialized Point Transformer for Couinaud Segmentation in 3D Medical Data

Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition

Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation

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

SurgZSD: Zero-Shot Surgical Action Triplet Detection via Attribute Composition and Clinical Feasibility Inference

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

TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation

TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction

Test-Time Adaptation for Rare Surgical Phase Recognition: Bridging the Coverage-Gap Paradox

The Learnability Gap in Medical Latent Diffusion

Toward Synergistic Learning for Liver Vessel and Couinaud Segmentations

Towards Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning

Uncertainty-Aware Spatio-Semantic Contextual Prompts for Multimodal Medical Segmentation

Understanding Model Behavior in Monocular Polyp Sizing

UniLiver: Gradient-Conditioned Unified Model for Multi-target Hepatic Segmentation

VarDeFlow: Variational Deformation Learning with Flow Matching for Multi-organ Cross-Modality Medical Image Synthesis

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

VM-NeXT UNet: Synergizing ConvNeXT and Visual Mamba for Robust Medical Image Segmentation

Wavelet-Guided Spectral–Spatial Learning for Medical Hyperspectral Image Segmentation

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

Body -> Brain

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 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 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 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

ACMap: Across-scales Connectivity Mapping of Primate Brain

ADAPT: Adaptive Profiling Transformers for Efficient Alzheimer’s Disease Diagnosis

Age Conditional Longitudinal Forecasting of Adolescent Functional Connectivity via Brownian Bridge Diffusion Models

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

APEX-SAM: Anatomy-Aware Prompting with Expert Retrieval for Training-Free Medical Image Segmentation

Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation

AsynDiff: Asynchronous-Timestep Diffusion with Noise-Aware Attention for Multi-sequence MRI Synthesis

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Bayesian Topological Analysis of Brain Networks

Benchmarking Video Foundation Models for Remote Parkinson’s Disease Screening

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

BiC-ODE: Bidirectionally Coupled Neural ODEs for Rapid Laminar Surface Reconstruction of the Human Cortex from 5T MRI

BioGuide: Biomedically-Guided Segmentation for Medical Tasks

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

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 Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

CALHippo: Cell Segmentation for Neuronal Density Inference in the Human Hippocampus

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data

CARformer: Class-Aware Representation Learning for Small-Cohort, Imbalanced Psychiatric Disorder Classification in Brain MRI

CMD-AD: Cross-Modality Distillation from fMRI-EEG for Single-Modality Alzheimer’s Disease Diagnosis

Coarse-to-Fine Meta-Reweighting with Dynamic Retrieval for Adult-to-Pediatric Domain Adaptation in Tumor Segmentation

CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults

Collaborative Topology and Connectivity Learning for EM Neuron Segmentation

Community-Aware Dynamic Graph Learning for Brain Disorder Diagnosis

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

Contrast-Invariant Reference-Based Slice Thickness Estimation in MRI via Spectral Matching

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

Cross-Modal Alignment and Distillation for Retinal Imaging Dementia Screening

Cross-Modal Prediction of DNA Methylation from Histology Images

Cubic Structure-Aware Neural Radiance Fields for Zero-Shot Super-Resolution of Susceptibility-Weighted Imaging

Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

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

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

Device-Constrained Real-Time EVD Catheter 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

Discovering Heterogeneous Neurodegenerative Disease Patterns From MRI Data for Improved Prediction

Displacement Preserving Relational Distillation for Robust Medical Segmentation

DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival

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

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-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

Dual-Teacher Knowledge Distillation with SAM and Learnable Prototype Guidance for Semi-supervised 3D Medical Segmentation

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

DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis

ECHO: Estimated Composite Hybrid Observation for Zero-Shot Self-Supervised MRI Reconstruction

EEGRFusion: Uncertainty-Aware EEG-to-Image Evidence for Adjunct Bedside Assessment of CMD in Disorders of Consciousness

Efficient Conformal Volumetry for Template-Based Segmentation

ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

Equity-Aware Self-supervised Multi-domain Connectome Representation Learning for Major Depressive Disorder Diagnosis

Estimated Age-Guided Cerebral Microbleed Segmentation

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

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

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

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

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

Fine-Grained Cerebrovascular Parsing in DSA via Structurally-Grounded Semantic Disentanglement

FluxCut: Shifting from Global Reconstruction to Local Geometry for Unsupervised Small Lesion Segmentation

Frequency-Aware Neural Architecture Search with Bidirectional Mamba for EEG Emotion Recognition

Frequency-Aware Prototype Learning in VLM for Intracranial Aneurysm HR-VWI Segmentation

FSE-Reg: Enhancing 3D Deformable Registration with Frozen Large-Scale Pre-trained Segmentation Encoders

G3R: Gaussian-Based Geometry-Guided Reconstruction for Fetal Brain MRI

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

GG-AE: Genetically-Guided Autoencoder for Disentangling Structural Networks of Brain Atrophy

GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment

H2GT: Hub-enhanced Hierarchical Graph Transformer for Explainable Diagnosis of ASD with Functional Brain Networks

HAM-BGT: Harmonic-Aware Multimodal Brain Graph Transformer for Brain Disease Diagnosis

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

HemoPIC: A Physics-Informed Cerebral Hemodynamics Digital Twin for Brain Perfusion

Hierarchical Disentangled Consistency Learning for Semi-supervised Multi-modal Medical Image Segmentation

Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation

Hierarchical Region-Aware Multi-Granularity Mamba for White Matter Lesion Segmentation

Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts

HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning

HK-Fuse: Hilbert-Interleaved Kimi Delta Attention for Incomplete-Modality Brain Tumor Segmentation

How Good Are Foundation Models in Longitudinal MRI Disease Progression Reasoning?

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Hyperbolic Vision-Language Interaction for Semi-supervised Medical Image Segmentation

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

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

Image-mediated fMRI-to-caption generation with visual pathway tokens and hyperbolic alignment

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

Inflated Performance in fMRI-Based ASD Diagnosis: A Reproducibility Study of Data Leakage in Feature Selection Pipelines

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 Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

InvDetect: Unsupervised Medical Anomaly Detection in the Noise Latent Space of DDIM

Joint Decomposition and Learned Deformation for Part-to-Whole MRI to Histology Registration

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

KGT-Reg: Knowledge-Guided Multimodal Framework for Medical Image Registration

KiMoCo-Net: Dual-Domain Learning for MRI Motion Artifact Correction

Kinetics-Informed Neural Representation for Dual-Tracer Dynamic PET Separation

Latent Pathology–Age Decoupling in Functional Connectivity Graphs for Multi-task Schizophrenia Assessment

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation

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 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 the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis

LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising

Longitudinal Reliability of Cross-Sectional Normative Models Under Measurement Error

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI

MARBLE: Lightweight EEG-to-fMRI Translation via Mamba-Attention and ROI-Conditioned Decoding

Maximizing Domain Generalization in Automated Fetal Brain Biometry

MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry

Med-CAP: Counterfactual Evidence and Adaptive Prior Suppression for Robust Medical Visual Question Answering

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

MedTS-TTT: Test-Time Training for Medical Time Series Classification

Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology

MiGAD: Gut Microbiota-informed Genetic Surrogates for Multimodal Alzheimer’s Disease Diagnosis

Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation

MoCaf-Mamba: Modality Completion and Alignment in Feature Space for Missing-Modality Segmentation

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

MuellerPT: Decomposition Driven Pre-training for Dense Learning in Mueller Polarimetry

Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation

Multi-Expert Representation Learning with Dynamic Routing for Brain Captioning

Multilayer Modularity-Aware Graph Autoencoder for Detecting Subpopulation Community Structure in Dynamic Brain Networks

Multi-scale Dual-domain Fusion-Based Spatio-Temporal Graph Learning for fNIRS Signal Classification

N6-TreeMamba: Radiology Knowledge-Guided 6-Neighborhood Tree Scanning for 3D MRI-Based Stroke Complication Prediction

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

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS–ANS Dynamics

Oneclass4ASD: Autism Spectrum Disorder Screening via One-class Classifier

On-Manifold Variational Learning with Heat-Kernel Priors

OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration

OTFusion: Optimal Transport-Driven 3D Multi-modal Medical Image Fusion for Enhanced Cross-Modality Representation

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

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

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

Physical-Driven Unified Implicit Regularization Network with Scan Parameter Prompts for Accelerated Multi-parametric MR Imaging

Physics-Driven Cold Diffusion with Severity-Aware Sampling and Adaptive Degradation Estimation for MRI Motion Artifact Removal

PICA: Physics-Guided Implicit Neural Fields with Boundary Conditioning for Intracranial Aneurysm Hemodynamics

PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification

Progressive Self-supervised Learning with Individualized Community Assignment for Brain Network Analysis

Prototype-based Physiological Transfer Enables NCCT-only Hyperacute Stroke Tissue-Window Segmentation Under Missing Perfusion

RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery

Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis

Refining 3D Medical Segmentation with Verbal Instruction

ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views

ReMiX-Seg: Latent Modality Completion Meets Expert Routing for Robust Glioma Segmentation

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

Residual Diffusion Bridge in Wavelet Space for Medical Image Translation

Resolution-Conditioned Representation Learning for Unified Brain MRI Modeling

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans

Riemannian Batch Normalization on Correlation Manifolds for EEG Decoding

Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data

S2GAIN: Spatio-Spectral Guided Affinity Imputation Network for Alzheimer’s Disease Diagnosis with Incomplete Modality

SA-CFM: Structure-Aware Continuous Flow Matching for Normative Modeling of EEG Microstate

SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

SAMoCo: A Learning-Initialized and Physics-Refined Framework for Sampling-Agnostic Motion Correction in MRI

SAR-Net: Sample-Agnostic Retrieval Network for Robust Brain Tumor Segmentation with Missing Modalities

S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring

Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding

Self-supervised Longitudinal Neuroimaging Augmentation for Continuous Staging of Alzheimer’s Disease

Sequence-Conditioned Flow-Based Models for Digital Phantom Generation in MRI

Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation

Shape-Adaptive Guidance Signal for Interactive Cortical Sulcal Labeling

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

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

Single-Subject Multi-view MRI Super-Resolution via Implicit Neural Representations

SkepticalNet: A Safety-Aware Interactive Segmentation Framework for Neuro-Oncology

SPEAR: Error-Guided Sparse Refinement for Scalable Deformable Medical Image Registration

Spectral-Temporal State Space Modeling on Functional Brain Networks

SPHARM-Mamba: Rotation-Invariant Multiscale Modeling for Brain Age Prediction

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

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-Semantic Aware Information Reduction for Asymmetric EEG-Visual Alignment

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

SynHydro: Biomechanics-Driven Domain Randomization for Hydrocephalus-Agnostic, Generalizable Tissue-Ventricle Segmentation Across Age, Modality, and Resolution

TAIR: Text-Guided Adaptive Prompt Refinement for Coarse-to-Fine all-in-One Medical Image Restoration

TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction

Temporal Phase-Difference Guided Spatiotemporal Learning for DSA Vessel 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

TGH-DB: Template-Guided Heteroscedastic Diffusion Bridge for Brain MRI-to-PET Synthesis

The Neuro-Developing Engine: a Surrogate Longitudinal Model for Infant Brain Dynamics Via Causal Distillation

Time Matters: Rethinking Diffusion and Flow Models in One-Step Medical Image Translation

TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis

TOFlow: Learning-Based Isotropic Reconstruction and Flow Mapping from Multi-orientation TOF-MRA

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation

Towards Direction-Equilibrated Segmentation in 3D Medical Images

Towards Versatile and Safe Multi-electrode Path Planning for SEEG Implantation

TracerAD: Training-Free Few-Shot 3D Anomaly Detection for Novel PET Tracers

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

TriFlow: Triplane Latent Conditional Flow Matching for Efficient 3D Skull Shape Completion

Tumor-Aware Direct Preference Optimization for Longitudinal Post-operative MRI Generation

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

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

Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

URLCF: Universal Representation Learning for Cross-Domain Few-Shot Autism Spectrum Disorder Detection

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

VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering

Vision-Based Force Estimation Using Brain Surface Deformation Models

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Body -> Breast

A Modality-Aware Mixture-of-Experts Framework for Clinical Multimodal Breast Ultrasound Diagnosis

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Addressing Tissue and Appearance Heterogeneity in Text-Guided Few-Shot WSI Classification

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

BC-MultiSet: A Multi-target Dataset and Benchmark for Clinical Tasks in Breast Cancer

Beyond Clean Test Sets: Spurious Correlations in Medical Vision-language Models and the Role of Concept Supervision

Beyond the Batch: Momentum-Updated Virtual Cohorts for 3D PET-CT Prognosis

Boosting Ultrasound Image Classification via Attribute-Guided Dual-Branch Framework

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

CARE: Clinically Aligned Retrieval Evidence for Consistent Radiology Report Generation

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

ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-domain Virtual IHC Staining

Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

DiagMIL: Uncertainty-Gated Coarse-to-Fine Multi-resolution MIL for WSI Diagnosis

Discriminative Directional Projection for Reverse Distillation in Breast Ultrasound Anomaly Detection

Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation

EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory

Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities

Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning

Exploring Efficient Weakly Supervised Ultrasound Video Object Segmentation with VLM-Guided Structure Advantage Learning

Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging

Feature Space Guidance for Breast Cancer Classification in DCE-MRI

From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision-Language Pretraining

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

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

Interpretable Medical Image Diagnosis via VLM-based Concept Alignment and Graph Reasoning

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

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

LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models

Latent-CURE: Interpretable Breast Cancer Diagnosis via Dual-Asymmetric Chain-of-Thought

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation

Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT

Longitudinal Multi-view Modeling for Breast Cancer Risk Prediction

LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

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

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

MSHF-Net: Multimodal Breast Cancer Molecular Subtype Prediction via Segmentation-Guided Hierarchical Fusion Network

MSQG-3DNet: Multi-scale Token Selection with Query-Decoder and Gated Fusion for 3D Breast Tumor Classification

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis

Multi-view Consistency-Based Adaptation of SAM2 for 3D ABUS Tumor Segmentation

On the Behavior of Calibration Error Under Rater Disagreement

Organ-Invariant Tumor Representation Learning via Disentangled Adversarial MAE for Multi-organ Ultrasound Imaging

OTCHA: Optimal Transport-Driven Confidence-Aware Latent Hub Alignment for Multi-view Medical Image Classification

PALETTE: Pathology-Aware Latent Embedding for Targeted Tissue Expression

Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI

Preoperative Simulation of Personalized Breast Reconstruction via Implant Prior Controllable Diffusion

Pressure-Tuned Auditor for Sycophancy-Resistant Breast Ultrasound VLM Diagnosis

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging

RACA: Rule-Aligned Collaborative Agents for Evidence-Grounded Breast Ultrasound Classification

RaLMPH: Reliability-Aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation

SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis

Semantic Feature Modulation for Mammographic Lesion Classification

Semantic-Consistent Dual-Image Vision-Language Alignment via Modality Routing for 3D PET/CT

Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation

Spatiotemporal Modeling of Longitudinal MRI with Causal Graph Reasoning for Breast Cancer pCR Prediction

Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation

Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology

SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

Testable Concept Bottlenecks for Pretreatment pCR Prediction in Breast DCE-MRI: Faithfulness and Reliability

Think Global, Look Focal: Dual-Stream Retrieval-Augmented Pathology Report Generation for Whole Slide Images

TinyH2GNet: Exploring Lightweight Models for Gene Expression Prediction from H&E Images

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

When Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Body -> Cardiac

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

AC-MIL: Weakly-Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement

Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-view Matching

Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

Anatomy-Texture Aware Safe Gradient Guidance for Source-Free Domain Adaptive Echocardiography Video Segmentation

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization

AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Automatic LV Localization and Short-Axis Plane Estimation from Arbitrary CMR Slice

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

CAG-WM: A Synthetic-Data-Driven Coronary World Model for Autonomous Guidewire Navigation

CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs

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

CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI

Conditional Latent Diffusion Model with Fourier-Based Motion Modelling for Virtual Population Synthesis

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

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

CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation

Demographic-Conditioned State Space Models for ECG-Based Age Estimation

DFuse: A Dual-Branch Adaptive Fusion Network for Multi-Channel MCG Denoising

DiCoP-SAM: Disagreement-Band Guided Corrective Prompting for Collaborative Semi-Supervised Medical Image Segmentation

Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation

DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

Dual-Teacher Knowledge Distillation with SAM and Learnable Prototype Guidance for Semi-supervised 3D Medical Segmentation

ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation

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

EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach

FedCHDP: Federated Concept-Guided Dual-Modal Prompting for CHD Diagnosis

FrameONE: Hierarchical Motion Modeling for Universal Multi-view Echocardiographic Keyframe Detection

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

GeoCAN: Nonlinear Causal-Geometric Learning for Echocardiography Quality Assessment

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

Global-Local Structure-Aware Alignment for Automated LGE MRI Report Generation

Graph Neural Networks for Morphometric Characterization of the Aortic Valve

HeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction

HeartVolMesh: Cardiac Volumetric Mesh Reconstruction via Covariance-Guided Graph Deformation

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification

Improved Vascular Segmentation via Binary Flow Matching with Straight-Path Regularization

Inception-Powered Unrolling Reconstruction for Accelerated Dynamic Cardiac Late Gadolinium Enhancement MRI

Inversion from ECG Foundation Model

Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography

Learning Beyond Pixels: Structured Knowledge Topology Consistency for Semi-supervised 2D/3D Medical Image Segmentation

Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification

LLM-Steered Clinical Knowledge Discovery for CVD Outcome Modeling

LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-Ray

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

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

MedPro: Dual-View Propagation and Prototypical Assessment for Training-Free Few-Shot Medical Segmentation

MedTS-TTT: Test-Time Training for Medical Time Series Classification

MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation

MetaFormer: Efficient Metadata-Guided Transformer for Patient-Aware 12-Lead Electrocardiogram Reconstruction

MoCaf-Mamba: Modality Completion and Alignment in Feature Space for Missing-Modality Segmentation

Modeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos

Motion-Conditioned Multi-view Fusion for Myocardial Infarction Localization from Echocardiography

MSS-Net: Learning Hierarchical Multi-scale and Multimodal Representations for Complex Cardiac Disease Classification

Multi-depth Rubidium PET Graph Neural Network for Major Adverse Cardiac Event Prediction

Multi-stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

On-Manifold Variational Learning with Heat-Kernel Priors

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

Physics-Informed Surrogate Model Using Graph Neural Network for Cardiac Electrophysiology

Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin

Physiology-Aligned Hierarchical Network for Heart Murmur Detection

Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI

Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

Plane-Wise Retrieval Memory and Structural Evidence Fusion for Tetralogy of Fallot Video Diagnosis

Proactive Domain Unification for Robust Echocardiography Segmentation

Proxy-CAC: Learning Coronary Calcium Segmentation from Volume-Level Scores

PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation

RAPO: Risk-Aware Anatomical Prior Optimization via Reinforcement Learning for CAC Detection in Rheumatoid Arthritis

ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views

RePCM: Region-Specific and Phenotype-Adaptive Bi-ventricular Cardiac Motion Synthesis

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

Self-supervised Spline Autoencoder for Smooth Latent Dynamics in Echocardiography

Self-supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping

Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI

ShapeEFM: A Shape-Based Pretrained Foundation Model on ECG Morphology Comprehension

SHINE: An Entropy-Guided Digital Twin Framework for 3D Myocardial Scar Reconstruction from Sparse CMR

Source-Free Domain Adaptation for Medical Image Segmentation via LLM-Agent Collaboration

Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

Test-Time Adaptation for ECG Classification via SQI-Gated Self-training and Beat-Rhythm Consistency

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

The Learnability Gap in Medical Latent Diffusion

Towards Direction-Equilibrated Segmentation in 3D Medical Images

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

Ultrafast Echocardiography Based on Dynamic Subspace-Guided and Temporal Adaptive Diffusion

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation

Uncertainty-Aware Hypergraph Consistency Learning for Semi-supervised Medical Image Segmentation

Uncertainty-Guided Conservative Propagation for Coronary Artery Segmentation

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

Unsupervised and Segmentation-Free Phase Unwrapping for 4D Flow MRI Using Deep Image Prior

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance

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

VM-NeXT UNet: Synergizing ConvNeXT and Visual Mamba for Robust Medical Image Segmentation

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers

WaCT-US: Cyclic-Alignment Scaled Contour Tubes for Efficient, Calibrated Uncertainty in Echocardiography

Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Body -> Eye

Adapting Ordinal-Risk Alignment for Clinically Safe Diabetic Retinopathy Grading

Addressing Gradient Conflicts in Multimodal Fundus Disease Recognition with Fusion-Guided Learning

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

Asym-MSF: Asymmetric Multi-scale Structural Fusion for Robust BCVA Prediction with Self-supervised Fidelity Constraints

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

Beyond Clean Test Sets: Spurious Correlations in Medical Vision-language Models and the Role of Concept Supervision

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

CiLA: Knowledge-Preserving Self-supervised Adaptation of CLIP for Fundus Imaging

CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults

Collaborative Multiscale Representation Learning for AMD Detection

Comparative Analysis of Automated Frame Selection Methods for Glaucoma Detection in Smartphone-Based Low-Quality Fundus Video

CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis

Cross-Modal Alignment and Distillation for Retinal Imaging Dementia Screening

CSAM-HQ: A Multi-stage Refinement Framework for Surgical Instrument Segmentation based on SAM and Probabilistic Graphical Models

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

DLCE-MIL: Depth-aware Local Context Enhanced Multiple Instance Learning for Patient-Level IVCM Fungal Keratitis Classification

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning

Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval

FairGE: Gated Expert Routing for Intersectional Fairness in Medical Foundation Models

FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

Harmonic Kernel Mixing for Interpretable Oculomotor Event Segmentation in Video-Nystagmography

Hierarchical Cross-Modal Fusion with Modality-Specific Training Paradigms for High-Precision Non-invasive Aging Assessment

HoughSAM: Geometry-Guided Zero-Shot Segmentation of Main Incision in Cataract Surgery Using SAM2 for Skill Assessment

InvDetect: Unsupervised Medical Anomaly Detection in the Noise Latent Space of DDIM

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

Knowledge Distillation-Driven Quality Transfer with Importance-Guided Supervision for Fundus Image Enhancement

LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

Mitigating Grade Boundary Conflicts for Disease Severity Grading with Ambiguous Labels

Multi-Disease Diagnosis in Retinal Images via Patch-Level Reasoning and Selective Aggregation

Non-Stationary Spectral State-Space Networks with Region-Wise Frequency Routing for Robust Fundus Vessel Segmentation

Oculo: A Multilabel Dataset for the Identification of Ocular Abnormalities from Ultrasound Images

OphthFlowBench: A Unified Ophthalmology Multimodal Benchmark with Workflow-Aligned Evaluation

Ordinal Diffusion Models for Color Fundus Images

PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations

PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

Physics-Based iOCT Sonification for Real-Time Interaction Awareness in Subretinal Injection

Physiologically Consistent Missing Channel Reconstruction and Cascaded MoE for Impairment Categorization from Visual Electrophysiological Signals

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans

Proto-CAP: Prototype Memory Fusion and Curriculum-Adaptive Loss for Pediatric Myopia Visual Question Answering

Prototype Learning for Visual Field Estimation from Fundus Photography in High Myopia

Prototype-Driven Robust Domain Generalization in Corneal Endothelial Cell Segmentation

PseudoRET: A General Retinal Segmentation Framework with Multi-target Pseudo Embeddings

Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation

ReDIVE: A Two-Stage Hybrid Network for Keratitis Diagnosis via Retinex-based Enhancement and Depth-Informed Vertical Embedding

Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

Retinopathy of Prematurity Staging via Prototype-Evidential Learning

REVEAL++: Differentiable Phenotypic Grouping for Vision–Language Retinal Modeling of Alzheimer’s Disease Risk

Segment Anything Model with Symmetric Spectral Uncertainty Gating for Generalizable Medical Image Segmentation

S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation

Smartphone-Based ASD Screening via Instance-Adaptive Cross-Modal Fusion and Contrastive Learning

SpecF2M: A Spectral-Aware Multi-task Network Estimating Axial Length and Refractive Error from Pediatric Fundus Photographs

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow

TrustSyn: Reliable and Divergent Synergy for Mixed-Domain Fundus Segmentation

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

Volume-Fused Super-Resolution OCT Reveals Cellular-Level Structures in the Outer Segment Across Wider Fields Without Adaptive Optics

WaveDE: Wavelet-Routed Dual-Expert Network for Fundus Photograph Enhancement

Body -> Fetal / Pediatric

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis

Are Foundational Models Less Biased Than Specialized Models? An Ultrasound Study

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

BDFR-Net: Boundary-Aware Dual-Domain Feature Reconstruction Network for Fetal Ultrasound Image Segmentation

Boosting Ultrasound Image Classification via Attribute-Guided Dual-Branch Framework

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

DK-Net: Semi-supervised Wavelet-KAN Landmark Localization for Angle of Progression Measurement in Intrapartum Transperineal Ultrasound

Dual Agreement Consistency Learning for Semi-supervised Fetal Ultrasound Segmentation

Dual-Domain Meta Conditioning Network for Fetal Head and Pubic Symphysis Segmentation in Ultrasound Images Analysis

EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

Fibers of Asymmetric Similarity: A Framework for Clinical and Imaging Data

FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance

Foundation Model-Driven Key Anatomy Frame Selection for Blind-Sweep Ultrasound Fetal Birth Weight Estimation

From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction

HbO2 and HbR Spatiotemporal Heatmap Feature Fusion Network for ADHD Diagnosis in Children

Hierarchical Cautious Optimization for Semi-supervised Medical Image Segmentation

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography

Maximizing Domain Generalization in Automated Fetal Brain Biometry

MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry

Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology

Non-parametric Prototypes Enable Semantic Graph Learning for Whole-Slide Pathology

Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

Real-Time Prediction of Impending Severe Fetal Distress Using Deep Learning on Fetal Heart Rate Monitoring

SAVer: Structure-Aware Validation of Standard Fetal Head Planes via Clinically Grounded Anatomical Completeness

SONIC: Sonographer-Inspired Conceptual Explanation for Neural Networks

SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis

Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video

Body -> Head & Neck

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

ALFA: Biplanar X-Ray Reconstruction via Anatomy-Latent Field Adaptation

All-in-One Augmented Reality Guided Head and Neck Tumor Resection

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Boundary-Aware Multi-Granularity Learning for Depression Severity Estimation

Case-Specific Priors-Guided Multimodal Fusion for Prognosis Prediction in Head and Neck Cancer

ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis

CrownFusion: 3D Dental Crown Generation Using Geometry Images and Latent Diffusion

DentalPSAM: Lifting SAM to Dental Plaque Segmentation with Hybrid 2D-3D Knowledge Fusion

Diff-SABR: Diffusion-Based Symmetry-Aware Reconstruction of Alveolar Bone Defects from CBCT

Discriminative Synergistic Temporal Diffusion for Ultrasound Video Thyroid Nodule Segmentation

EA-LDM: Explicit Alignment Latent Diffusion Model for Patient-Specific CT Reconstruction from Bi-planar X-Rays

Fibers of Asymmetric Similarity: A Framework for Clinical and Imaging Data

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

Interaction-Aware Contrastive Multi-task Learning for Joint Segmentation and Malignancy Classification in Thyroid Ultrasound

Keypoint Correspondence Learning for CBCT–IOS Registration

LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models

Leuko, I Am Your Prototype: A Prototypical Detection Framework for Fine-Grained Laryngeal Lesion Stratification

Localization-Grounded Supervision: Revisiting Vanilla SFT of Large Vision-Language Models for Medical Image Analysis

LOT-Bridge: A Latent Optimal Transport Bridge Based on Signed Distance Fields for Automatic Skull Defect Reconstruction

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift

NASD-Diff: A Noise-Assisted Structural Difference Diffusion Model for CT Angiography Generation from NCCT

NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening

Ontology-Grounded Structured Prediction for Dental CBCT Reporting

OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva

OsteoFlow: Lyapunov-Guided Flow Distillation for Predicting Bone Remodeling after Mandibular Reconstruction

Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

Prior-Guided Hierarchical Vector Quantized-VAE for Digital Subtraction Angiography Generation

Privacy-Preserving Video-Based Facial Palsy Recognition via Dynamic Facial Action Modeling

Protocol-Manifold Coverage Learning (PMCL): Source-Free Active Adaptation for Multi-Center Nasopharyngeal Carcinoma MRI Segmentation

RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy

Reconstructing Isotropic 3D Cervical MRI from Anisotropic Clinical Scans via Anatomy-Style Decoupled INRs

Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data

Robust Tooth Segmentation Under Orthodontic CBCT: A Metal Artifact-Aware Approach

ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy

Self-supervised Learning on Lingual Ultrasound Video Encodes Clinically Meaningful Articulatory Structure of Rhotic Production in Residual Speech Sound Disorder

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-Contrast CT

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

Tooth Alignment via Virtual Trajectories with Clinical Constraints

ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2

Toward Thyroid Cancer BRAF V600E Mutation Prediction via Multimodal Large Language Model: Dataset and Model Development

VarDeFlow: Variational Deformation Learning with Flow Matching for Multi-organ Cross-Modality Medical Image Synthesis

Wavelet-Guided Spectral–Spatial Learning for Medical Hyperspectral Image Segmentation

Body -> Lung / Thoracic

A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Addressing Tissue and Appearance Heterogeneity in Text-Guided Few-Shot WSI Classification

AI-Driven Pulmonary Congestion Assessment for Lung Ultrasound via Segmentation-Guided Transformers

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Anatomy-Aware Hierarchical Multiple Instance Learning for Interpretable COPD Diagnosis and Phenotype Analysis

Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT

Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

Bidirectional Anatomy-Aware Post-Training for Longitudinal Chest X-Ray Progression Modeling

C²RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

Calibrated Confidence Expression for Radiology Report Generation

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study

CheXanatomy: Anatomy–Aware Vision–Language Modeling for Chest Radiographs

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models

Clinically-Grounded Hierarchical Classification for Consistent Chest X-ray Interpretation

Conditional Diffusion Prompting for Ambiguous Medical Image Segmentation

Counterfactual Stress-Testing for Fixing Lung Cancer Segmentation Models

CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

DCLDs-RAG: Evidence-Grounded Multimodal Retrieval-Augmented Generation for Diffuse Cystic Lung Diseases Diagnosis

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

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework Without Direct DICOM Access

Differential Privacy Representation Geometry for Medical Image Analysis

Digital Twin of the Lung from Wearable Biosignals for Real-Time Respiratory Monitoring

Di-PACT: Discrete Prognosis via Aligned Co-Topology of Pathways and Tumor Microenvironment

Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation

Distilling Photon-Counting CT Into Routine Chest CT Through Clinically Validated Degradation Modeling

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation

DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

Efficient Conformal Volumetry for Template-Based Segmentation

Efficient Flow Matching for Sparse-View CT Reconstruction

Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities

FairPneum: Improving Fairness in Pneumonia Diagnosis and Lesion Segmentation

Faithful, Interpretable Chest X-ray Diagnosis with Artifact-Free B-cos Networks

FDRAS: Failure Diagnosis and Repair for Airway Segmentation

From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction

From Sparsity to Geometry: Spatial Modeling for 3D Reconstruction from Biplanar Bone X-rays

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification

Harmless Copyright Protection for CT Dataset

Hierarchical Memory for Radiology Report Generation with Rich Context

Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection

HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation

HiProS: A Hierarchical Prompt Selection for Stage-wise Vision–Language Alignment in Medical Image Segmentation

HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation

Human-In-The-Loop Multi-agent Ventilator Decision Support with Contextual Bandit Preference Learning

Intraoperative X-Ray-Guided Tumor Tracking via Dynamic 3D/2D Registration with Task-Driven 3D Gaussian Priors

Just 32 Tokens: Medical Referring Image Segmentation via Next-Token Mask Prediction

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

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

LAD: Learnable Anisotropic Deformation for 3D Medical Image Analysis

Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis

Learning Role-Conditioned Alignment for Medical Image Referring Segmentation

Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

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

Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation

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

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

LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

M3D-QAdapter: 3D Medical VQA with Lesion-Level Finding-Segmentation Alignment and Query-Driven Adaptive Token Reduction

Mamba Based Anisotropic Diffusion Model for Speckle Noise Reduction in Ultrasound Images

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

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

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

MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining

MedTSC-Net: Bridging Semantic and Scale Gaps in Text-Guided Medical Image Segmentation

MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation

Mitigating Grade Boundary Conflicts for Disease Severity Grading with Ambiguous Labels

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation

Multimodal Large Language Model-Driven Self-Verification Reasoning for Interpretable Diagnosis of Diffuse Cystic Lung Diseases

Multi-regional CT Radiomics Fusion to Quantify Pathology-Derived Pollutant Burden in Lung Cancer

NEARL: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation

Non-linear INR-Based Motion Modeling for 4D Radiotherapy

OTCHA: Optimal Transport-Driven Confidence-Aware Latent Hub Alignment for Multi-view Medical Image Classification

PAVL: Enhancing Feature Prototype Alignment with Vision–Language Model for Semi-supervised Medical Image Segmentation

PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning

Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

PromptMedCT: A Training-Free LLM-Guided Framework for Volumetric CT Data Realization with Quantifiable Disease Manifestations and Multi-Tier Annotations

ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging

RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models

RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping

Reference-Guided Gradient Balancing Loss for Long-Tailed Multi-label Medical Image Classification

Reformulating Chest X-Ray Report Generation as Fine-Grained Visual Question Answering with Structured Clinical Report Templates

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation

Semantic-Aware Organ-Level Esophageal Tumor Synthesis via Latent Rectified Flow

Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation

Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models

Spatially-Aware Graph Geometric Representation for Lung Nodules Detection

Spatiotemporal Modeling of Tumor Dynamics via Optimal Transport for Enhanced Longitudinal Analysis

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology

SynMamba: Synergizing Visual Mamba with Synthesized Clinical Semantics for Boundary-Aware Segmentation

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

TCFD-Net: Temporal-Calibrated Feature Disentanglement Network for Dual-Timepoint CT-Based Immunotherapy Response Prediction in Advanced Non-small Cell Lung Cancer

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-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

Through-Plane Attention for Anisotropic CT Super-Resolution Improves Quantitative Lung Cancer Analysis

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories

TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis

Towards Class-Aware Semantic Decoupling in Multi-modal Disease Diagnosis with Missing Modalities

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

Unleashing Video Language Models for Fine-grained HRCT Report Generation

VarDeFlow: Variational Deformation Learning with Flow Matching for Multi-organ Cross-Modality Medical Image Synthesis

VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

When Does Uncertainty Become Meaningful in Medical Vision-Language Models? Alignment Enables Disease-wise Uncertainty and Risk-Aware Prediction

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians

Body -> Musculoskeletal / Orthopedic

Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors

BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

Co-MoCo: Collaborative Learning Enabled Motion Compensation for Weight-Bearing CBCT

Diagnostic Evidence-Based Prototype Learning via Dirichlet Process for Multimodal Bone Tumor Subtyping

End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

From Sparsity to Geometry: Spatial Modeling for 3D Reconstruction from Biplanar Bone X-rays

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

KJD-25K: A 3D Multi-modal Dataset and Benchmark for Knee Joint Diagnosis

Landmark-Free Assessment of Lower-Limb Alignment with Implicit Neural Shape Functions from Knee Radiographs

Learning Quantitative Calibration of Computed Tomography for Bone Mineral Density Estimation Using Multi-Center Data

Medical Image Spatial Grounding with Semantic Sampling

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

Optimal Steps for Fast Diffeomorphic Shape Registration

OTCHA: Optimal Transport-Driven Confidence-Aware Latent Hub Alignment for Multi-view Medical Image Classification

PANet: Probability-Anchored Network for Ultrasound Bone Segmentation

Quantification of 3D Musculoskeletal CT Image-Based Biomarkers in the Lumbar Spine: Application in Metastatic Prostate Cancer

Shape-Aware Registration Without Pretraining: CT-Ultrasound Bone Surface Alignment via Instance-Level Shape Completion

Situational context embedding and knowledge-based grounding for LLMs in surgical training assistance

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

SymmDiff: Symmetry-Guided Diffusion for Fracture Localization in Pelvic Radiographs

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

Towards the Digital Dental Models: High-Fidelity CBCT-to-IOS Fusion via Anatomy-Aware Geometric Transformers

Trackerless Ultrasound Pose Estimation via Correspondence-Aware Tokenization and Flow-Matching Transformers

Unsupervised Domain Adaptation for Pelvic Landmark Localization in CT and MR Using Landmark-Conditioned Synthesis

wBCAM: Windowed Bi-directional Cross-Attention with Mamba for Enhanced 3D Vascular Reconstruction in Free-Hand Photoacoustic and Ultrasound Imaging

Body -> Pelvis / Reproductive System

A Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction

Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants

Born Different: A Multi-level Individualized Modeling Framework for Embryo Euploidy Prediction

Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening

Cell-Division-Aware Category-Enhanced Contrastive Learning Model for Embryonic Cleavage Stage Classification

CerviThink: A Reinforced Visual Reasoning Framework for Cervical Cancer Cell Classification

Compass: Prostate Cancer Detection Needs Multi-view Context

Data-Driven Optimization of Prostate Sectorization from MRI

Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation

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

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

Distilling Temporal Coherence Into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation

DK-Net: Semi-supervised Wavelet-KAN Landmark Localization for Angle of Progression Measurement in Intrapartum Transperineal Ultrasound

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

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

Human-AI Collaboration for 2D/3D Registration Quality Assurance

Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability

KOAL: Knowledge-Driven Prostate Cancer Grading with Ordinal-Aware Learning

Latent Lessons from Histopathology: A Registration-Free Cross-Modal Supervision Framework for mpMRI-Based ISUP Grading

Latent-to-Latent Flow for Volumetric Stochastic Segmentation

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-Based Optimization

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

Lesion-Centric Structured Report Generation for 3D CT with Multimodal Large Language Models via Hierarchical Evidence Tokens

Low-Resource Cross-Modality Nucleus Detection via One-Sided Domain Adaptation

MDL-DA Track: Self-supervised Sperm Motility Direction Learning and Density-Adaptive Association for Sperm Tracking

MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography

Pathologist Attention–Aligned Report Generation for Prostate Histopathology

PhaseMamba: Two-Stage Learning from Short Clips to Full Procedures for Online Surgical Phase Recognition

Seamless Whole Slide Label-Free Virtual Staining

Segment Anything Model with Symmetric Spectral Uncertainty Gating for Generalizable Medical Image Segmentation

Single-Subject Multi-view MRI Super-Resolution via Implicit Neural Representations

SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment

Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided

Tri-KA: Tri-level knowledge anchoring test-time adaptation for source-free cross-site MRI rectal cancer segmentation

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

VarDeFlow: Variational Deformation Learning with Flow Matching for Multi-organ Cross-Modality Medical Image Synthesis

X2Bone: Reconstructing 3D Bone Structures from 2D Biplanar X-Rays via Cross-RWKV

Body -> Skin

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

Artifact-aware Prompt Learning for Domain Generalization

Automated Disentangling Analysis of Skin Colour for Lesion Images

Better Said Than Seen: Exposing and Mitigating Modality Collapse with ICD-11-Grounded Evaluation

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

B-spline Activations as Intrinsic Uncertainty Estimators in Medical Image Segmentation

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

ConceptIL: Concept Incremental Learning for Interpretable Medical AI

Conditional Diffusion Prompting for Ambiguous Medical Image Segmentation

Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

D2C: Data-Efficient Skin Lesion Classification for Clinical Images by Representation Alignment Using Dermoscopic Resources

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

DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy

Dual-Space Cold-Start Active Learning Guided by SAM3 for Medical Image Segmentation

Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

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

FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis

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

Frequency and Geometry Guided Graph Clustering for Weakly Supervised Skin Lesion Segmentation

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

Glasses: Adapter-Enhanced DINOv3 with Boundary-Aware Multi-Scale Representations for Medical Image Segmentation

Group-Conditioned Representation Modulation for Fair Skin Disease Diagnosis

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations

Learning to Segment Burns with Limited Labels: A Dual-Path Cascaded Network with Uncertainty-Guided Teacher Diffusion Exposure

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

mSpecFusion-Net: Intelligent Multimodal Smartphone Imaging for Mobile Differential Diagnosis of Psoriasis and Dermatitis and Deep Learning

NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

ProSyn-Net: A Reliable Prototypical Synergy Network for Imbalanced Dermatologic Multimodal Ultrasound Diagnosis

Quality-Guided Semi-supervised Learning for Medical Image Segmentation

Question-Driven Decision Tree via Knowledge Distillation for Interpretable Prediction

R2P-SAM: Root-to-Prompt Hair Instance Segmentation with Geometric Priors under Point Supervision

Retrieval-Guided Semi-supervised Federated Learning for Medical Image Segmentation

S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation

SANT-CBM: Structurally-Aware and Noise-Tolerant Semi-supervised Concept Bottleneck Models

Skin2Mind: A Multimodal Framework for Mental Health Risk Screening via Facial Images and Structured Skin Reports

The Learnability Gap in Medical Latent Diffusion

Uncertainty-Aware Hypergraph Consistency Learning for Semi-supervised Medical Image Segmentation

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Body -> Spine

AHPR-Net: Anatomy-aware Hierarchical Prompting Refinement Network for Spine Image Segmentation

Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores

Beyond Landmarks: Anchor-Guided Orientation Regression for Robust Spinopelvic Measurement

BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment

Cervical Vertebral Maturation Staging from a Continuous Perspective

CPS4: Class Prompt Driven Semi-supervised Spine Segmentation with Class-Specific Consistency Constraint

DSCE-Net: Dual-Scale Conditioned Evolving Network with Balanced Optimization for All-in-One Medical Image Restoration

FDMMBone: Flow-Based Conditional Deformable Mesh Modeling for Accurate 3D Bone Defect Completion

FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

OSCAR: Occupancy-Based Shape Completion via Acoustic Neural Implicit Representations

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

Body -> Vasculature

3D Cerebrovascular Shape Completion from Biplane Angiography and CTA Prior

A Flexible Structure-Guided Feature Aggregation Paradigm for Efficient Vascular Representation

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

Angio-Stitch: An Unsupervised Coarse-to-Fine Framework for Sequential Stitching of Confocal Laser Endomicroscopy Images

Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation

BiM-GeoAttn-Net: Linear-Time Depth Modeling with Geometry-Aware Attention for 3D Aortic Dissection CTA Segmentation

BiSA-DiT: A Bidirectional Spatially-Aware Diffusion Transformer for Sparse Tomographic Magnetic Particle Imaging

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

CardioGS: Deformation-Driven 4D Gaussian Splatting with Self-supervised Cardiac Clock Learning for Rotational DSA Reconstruction

Clinically Structured Chain-of-Thought Reasoning for Intelligent Guidance in Coronary Artery Disease

CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

Deep Probabilistic Cerebrovascular Atlas

Do Not Break the Vessels: Structure-Preserving Mean Flow for Vascular Image Translation

Dynamic Collaborative Continual Test-Time Adaptation for 3D Vessel Segmentation

EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach

Exploiting Interior Geometry for Intracranial Aneurysm Detection and Segmentation on 3D Point Clouds via GNNs

Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields

Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction

Geometry-Aware Point-to-Voxel Fusion via Gaussian Splatting for Intracranial Aneurysm Segmentation

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

Improved Vascular Segmentation via Binary Flow Matching with Straight-Path Regularization

MVDA-Net: Multi-View Dual-Alignment Network for 3D Carotid Artery Segmentation

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

Peeling an Onion: Layer-Wise Doppler-Backprojected Ultrasound Microvascular Vector Flow Imaging

Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

RDE-Seg: Role-Disentangled Experts with Residual Routing and Anatomy Constraints for DSA Guidewire Segmentation

Reducing Expert Annotation Effort for CTA Vessel Delineation with Synthetic Pretraining

RefTr: Recurrent Refinement of Confluent Trajectories for 3D Tubular Tree Centerlines

ReScan-IA: A Spatially-Adaptive Diffusion Framework for Controllable 3D Intracranial Aneurysm Inpainting

Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

Structural Congruence Matters: Biological Pretraining for Vascular Graph Extraction

TOFlow: Learning-Based Isotropic Reconstruction and Flow Mapping from Multi-orientation TOF-MRA

Toward Synergistic Learning for Liver Vessel and Couinaud Segmentations

UniLiver: Gradient-Conditioned Unified Model for Multi-target Hepatic Segmentation

VesselSim: learning 3D blood vessel segmentation without expert annotations

VigilSAM3: Reinforcement-Optimized Memory Gating for Ultra-Long Surgical Video Segmentation

wBCAM: Windowed Bi-directional Cross-Attention with Mamba for Enhanced 3D Vascular Reconstruction in Free-Hand Photoacoustic and Ultrasound Imaging

Wrist Camera Pose-Guided Multi-view Fusion for Occlusion Reconstruction in Robot-Assisted Microsurgical Anastomosis

Body -> Whole-body / Multi-organ / Other

A Hierarchical Multi-Task Framework for Dementia Diagnosis via Pathological Feature Learning from Multi-Organ Data

A Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

ACA: Post-hoc Adaptive Logit Alignment for 3D Medical Image Segmentation

Active Evaluation-Induced Graph Network Based Medical Hyperspectral Image Classification for Tumor Diagnosis

Aligning Prototypes and Updating Null Spaces for Continual WSI Learning

Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation

Anatomy-Aware Reverse Symmetric Self-paced Learning for Prostate Cancer Detection

Angular-Constrained Hyperbolic Learning for Hierarchical Multimodal Survival Prediction

ARCH-Net: Aligned 3D Teeth Reconstruction via Counterfactual-Enhanced Hierarchical Framework

AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

Beyond the Batch: Momentum-Updated Virtual Cohorts for 3D PET-CT Prognosis

BIGUS: Beam Integrated Gaussian Scattering for Continuous Ultrasound View Synthesis

BioFlow: A Biologically Valid Support-Preserving Flow for Histology-Conditioned Spatial Transcriptomics Prediction

BRAIN: Bi-directional Motion Reasoning with Dynamic Memory Pruning for Surgical Video Segmentation

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

CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening

CARE: Confidence-Aware Reasoning for Reliable Medical VQA

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

CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment

CIGTSurv: Clinical Information Guided Tri-Modal Survival Prediction with Local Prototype Association and Global Feature Alignment

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation

COAST: Context-Aware Differential Learning for Gene Expression Prediction in Spatial Transcriptomics

Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings

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

ConstTrack: Constellation-Guided Cell Tracking Under Lineage Constraints

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

Counterfactual Anatomy-Guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medical VLMs

Counterfactual Contrastive Analysis

Cross-Cancer Expert-Routing Knowledge Transfer in Federated Prognosis Prediction

Cross-channel Consistent Mamba for Extreme Limited-View Photoacoustic Tomography Reconstruction

Cross-Surface Representation Learning for Accurate Gingiva Prediction in CBCT

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images

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

CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

Cycle-Verified Gentle Teaching and Confusion Correction for Label-Scarce Cross-Modal Single-Cell Annotation

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model

DentMamba: An Anatomy-Aware Global-Local Hybrid Network for Large-Scale Multi-class Dental Disease Detection

DeNuC: Decoupling Nuclei Detection and Classification in Histopathology

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

DGFMIL: Fuzzy Multi-instance Learning with Cross-Granularity Calibration and Soft Semantic Routing for Histopathological Image Staging

Diagnose Like a Doctor: Misdiagnosis-Aware Structured Memory for Continual Learning of Medical Vision-Language Models

DiCoP-SAM: Disagreement-Band Guided Corrective Prompting for Collaborative Semi-Supervised Medical Image Segmentation

Diffusion-Guided Anatomical Position Encoding for Dense Longitudinal CT Correspondence

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

DosePlug: Observation-Driven Dose Modeling for Robust Low-Dose Reconstruction and Segmentation

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-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

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

E-MRL: Cross-View Aligned Evidence-Driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis

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

Enhancing Pathological VLMs with Cross-scale Reasoning

EvoMed: Self-Evolving Medical VLM via Training-free Continued Learning

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

Fast 3D Cell Volume Reconstruction from Multi-focus Images by Cross-modality Knowledge Distillation

FedSwitch: From Standard to Balanced Aggregation via Private Histogram Estimation in Federated Medical Image Classification

Footprint-Guided Exemplar-Free Continual Histopathology Report Generation

FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

Frequency-Aware Post-Training Quantization for Medical Image Denoising

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 Scanning Guidelines to Action: A Robotic Ultrasound Agent with LLM-Based Reasoning

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

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

GFR-MIL: Glance–Focus–Reflect Based Multiple Instance Learning for Multi-Scale Whole Slide Image Analysis

Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-identification

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

GU-SAM2: A Semi-supervised Medical Image Segmentation Framework via Gated Feature Fusion of MIM-Pretrained U-Net and SAM 2

H2M-Net: Hierarchical Hyperbolic Memory Network for Pathological Report Generation

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

HAR-MoE: Hierarchical Affinity-aware Routing Mixture-of-Experts for Unified Multi-Organ Ultrasound Analysis

HEDS-Net: A Hybrid State-Space Architecture with Axial Bridge and Progressive Weighting for Medical Image Segmentation

Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation

HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation

High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space

IgG4-QPC: Quantitative Pathology-Consistent Virtual Staining from H&E to IgG4

ImPartial: Multi-channel Whole-Cell Segmentation Using Partial Annotations

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields

Interpretable Medical Image Diagnosis via VLM-based Concept Alignment and Graph Reasoning

Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning

IOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral Scans

KiD-Seg: Kinetic-Disentangled Contrastive Learning with Anchor Guidance for Incomplete Multi-Modal Liver Tumor Segmentation

KMP-MIL: Knowledge Memory Pool Multiple Instance Learning with Foundation Model for Continual Whole Slide Image Classification

Knowledge-Enhanced Representation Learning with Retrieval-Augmented Multimodal Fusion for Survival Prediction

LAD: Learnable Anisotropic Deformation for 3D Medical Image Analysis

LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models

LangOR: 3D Language Field Reconstruction for Operating Room

Latent-to-Latent Flow for Volumetric Stochastic Segmentation

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 Hierarchical Anatomy-Grounded Representation for Cross-Modal Registration

Learning Task-Specific Anatomical Priors via Context Distillation for In-Context Medical Image Segmentation

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

Learning Where to Look: Pathologist-Inspired Multi-field-of-View Evidence Retrieval for Cell Type Classification in H&E

LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics

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

MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

MAP-Diff: Multi-anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

Marginal Constrained Morphological Prototype Learning for Patch Search in Whole Slide Images

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

MBFAD: Benchmarking Balance Function Assessment with Environmental Perturbation and Synergistic Tasks

Measuring Prediction Uncertainty in Neural Cellular Automata

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

MedCenterDet: A Center-Based Object Detection Framework for 3D Medical Image

MedEnv: Scaling Multimodal Virtual Medical Environments for Long-Horizon Diagnosis

MedExpMem: Adapting Experience Memory for Differential Diagnosis

MedFuse-Seg: Multi-level Visual and Semantic Context Fusion for Segmentation-Based Medical Reasoning

Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

MedObvious: Exposing the Medical Moravec’s Paradox in VLMs via Clinical Triage

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

MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

MERIT: Multi-scale Mamba with Enhanced Information Retention for Treatment Response Prediction from Whole Slide Images

MetaVFM: Meta-Learned Efficient Adaptation of Vision Foundation Models for Medical Imaging

MicroscopyCLIP: A Domain-Specific Vision-Language Model for Optical Microscopy

MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models

MLLM-Enhanced Region-Aware Bidirectional Evidence-Based Model for Tongue Diagnosis

MMIC-EndoDepth: Self-Supervised Endoscopic Depth Estimation with Multi-Mechanism Illumination Correction

MoCaf-Mamba: Modality Completion and Alignment in Feature Space for Missing-Modality Segmentation

MORI-Seg: Learning Morphological Geometry for Instance Segmentation Without Instance Annotations

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

MRSeg3D: A Perturbation-Resilient Model for 3D Medical Reasoning Segmentation

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy

Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction

Multimodal-Conditioned Flow Matching for Pathology Nuclei Data Augmentation

Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment

Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation

Mutually Promoted Medical Image Segmentation and Classification via Prompt-Driven Interaction

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

One-Shot Data Selection for Medical Image Classification via Graph Coverage

Open World MRI Reconstruction with Bias-Calibrated Adaptation

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

OPVD: On-Policy Chain-of-Visual-Thought Distillation for Medical Reasoning

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

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

P2R-Net: Physics-to-Reality SM Calibration Network with Sparse Measurement Guidance for High-Precision MPI Reconstruction

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding

PC-VLG: Position-Correlated Vision–Language Graph Alignment for Semi-supervised Medical Image Segmentation

PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation

PhyRadGS: Physics-Aware Radiative Gaussian Splatting for Fly-Scanning CBCT Reconstruction

Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization

PiMoE: Physics-Informed Mixture-of-Experts for Accelerated MRI Reconstruction

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

PoCoLT: Position-Aware Cross-Modal Learning with LLM-Decoupled Hierarchical Reports for TMD Diagnosis

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

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation

Probabilistic Multi-rater Segmentation via Style-Aware Boundary Conditioning

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

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

Prototype Instance-Semantic Disentanglement with Low-Rank Regularized Subspace Clustering for WSIs Explainable Recognition

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

Quantify, Collect, and Correct: Evidence-Driven Multi-agent Framework for Critical Evidence Refinement in Emergency Rooms

RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning

RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

Really Need Recursion? Revisiting One-Pass Registration with Multi-Level Multi-Space Contextual Guidance

Real-Time 6D Ultrasound Probe Pose Tracking in Freehand Scanning

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins

Reliability-Aware Cross-Prompt Aggregation for Propagation-Based Segmentation of Arbitrary 3D Medical Objects

Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

Research Design Considerations for Empirical User Studies in MICCAI

Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation

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

Reward-Guided Distillation: A Progressive Pseudo-Bag Purification Framework for WSI Multiple Instance Learning

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

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

SAM-Cluster and SAM-LP: Structure-Aware Evaluation Metrics for Selecting WSI Feature Extractors Without MIL Training

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

SD-SAM: Synergizing SAM and DINOv3 for Parameter-Efficient Polyp Segmentation and a Challenging Benchmark Dataset

Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception

SegDINO: Introducing Multi-Scale Structure into DINO for Efficient 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

Semantically Consistent Whole-Body PET/CT Report Generation with Local Lesion-Level Guidance

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

SHOT-CCR: Biologically Guided Adversarial Training for Test-Time Adaptation in Cellular Morphology

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation

SlideGuard: WSI Artifact Detection Benchmark

Slim nnU-Net: Revisiting nnU-Net Self Configuration from an Optimization Angle

SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Spectral-Semantic Consensus for Few-Shot Whole Slide Image Classification

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

SS-IoSR: Self-supervised Intraoral Scans Repair

Structure-Aware Sensorless 3D Ultrasound and Photoacoustic Reconstruction

SuRe-Flow: Surface-to-CT Synthesis via Retrieval-Augmented Rectified Flow for CT-Free Superficial Radiotherapy

Surgical Anatomy Recognition with Context Learning using Foundation Representations

Surgical Video Temporal Grounding

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

SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

TCCT: Trajectory-Conditioned CBCT Reconstruction for Sinusoidal Non-circular Orbits with a Fourier Neural Operator

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

The Paper Has a GitHub, the GitHub Has a README, the README Has Nothing: Reproducibility Signals for Review Support

Through the Schrödinger Bridge: Benchmarking Antemortem Image Restoration from Postmortem Autolysis to Enhance Forensic Diagnostics

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

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

Towards Unified Image–Video Modeling Across B-Mode and Contrast-Enhanced Ultrasound for Multi-task Analysis

TRACE-PSG: Traceable Sleep Diagnosis Support with Pointer-Grounded Evidence

Tracer-Adaptive Expert Learning for Generalizable PET Lesion Segmentation

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

Trustworthy Endoscopic Super-Resolution

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

UniLiver: Gradient-Conditioned Unified Model for Multi-target Hepatic Segmentation

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

UT-MIL: Uncertainty-Rectified and TME-Decoupling Dual-Stream Aggregation for Robust WSI Survival Prediction

Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation

VesselSim: learning 3D blood vessel segmentation without expert annotations

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

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

Weakly-Supervised Temporal Decomposition with Graph Neural Networks for Parkinsonian Turning Assessment

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

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers

Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians

Machine Learning -> Algorithmic Fairness / Safety / Regulation

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents

Equity-Aware Self-supervised Multi-domain Connectome Representation Learning for Major Depressive Disorder Diagnosis

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

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

Machine Learning -> Causal Inference / Counterfactual Reasoning

A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

Counterfactual Contrastive Analysis

Counterfactual Stress-Testing for Fixing Lung Cancer Segmentation Models

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy

EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach

GeoCAN: Nonlinear Causal-Geometric Learning for Echocardiography Quality Assessment

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

SLICE-MIL: Counterfactual Semantic Anchoring of Disentangled Evidence for Child-Pugh Grading

Spatiotemporal Modeling of Longitudinal MRI with Causal Graph Reasoning for Breast Cancer pCR Prediction

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

Machine Learning -> Continual / Lifelong Learning

Aligning Prototypes and Updating Null Spaces for Continual WSI Learning

ConceptIL: Concept Incremental Learning for Interpretable Medical AI

ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-domain Virtual IHC Staining

Dynamic Collaborative Continual Test-Time Adaptation for 3D Vessel Segmentation

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

EvoMed: Self-Evolving Medical VLM via Training-free Continued Learning

Footprint-Guided Exemplar-Free Continual Histopathology Report Generation

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

KMP-MIL: Knowledge Memory Pool Multiple Instance Learning with Foundation Model for Continual Whole Slide Image Classification

Learning Task-Specific Anatomical Priors via Context Distillation for In-Context Medical Image Segmentation

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

ROTE: Routing–Timescale Framework for Balanced Expert Allocation in MoE-Based Continual Segmentation

Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

Test-Time Adaptation for ECG Classification via SQI-Gated Self-training and Beat-Rhythm Consistency

Machine Learning -> Deep Learning

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 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 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 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 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

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

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

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

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

AHPR-Net: Anatomy-aware Hierarchical Prompting Refinement Network for Spine Image Segmentation

AI-Driven Pulmonary Congestion Assessment for Lung Ultrasound via Segmentation-Guided Transformers

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

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-Aware Hierarchical Multiple Instance Learning for Interpretable COPD Diagnosis and Phenotype Analysis

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-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

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis

ARCH-Net: Aligned 3D Teeth Reconstruction via Counterfactual-Enhanced Hierarchical Framework

Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization

Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation

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

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

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

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

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

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

BiC-ODE: Bidirectionally Coupled Neural ODEs for Rapid Laminar Surface Reconstruction of the Human Cortex from 5T MRI

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

BioFlow: A Biologically Valid Support-Preserving Flow for Histology-Conditioned Spatial Transcriptomics Prediction

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

BrainACU: Asynchronous Coordination Unit Modeling for Dynamic Brain Network Analysis

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

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

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

CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs

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 Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening

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

CARE: Confidence-Aware Reasoning for Reliable Medical VQA

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

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

CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI

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

CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults

Collaborative Topology and Connectivity Learning for EM Neuron Segmentation

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

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

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

Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

ConVL: Interpretable Concept-Guided Vision-Language MIL for Survival Analysis in Whole Slide Images

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

CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

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-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

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

Cubic Structure-Aware Neural Radiance Fields for Zero-Shot Super-Resolution of Susceptibility-Weighted Imaging

Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs

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

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

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

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

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

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

Det-Y: A Multi-center Dataset and Benchmark for Efficient Detection of Mycobacterium Tuberculosis in Sputum Smears

DFuse: A Dual-Branch Adaptive Fusion Network for Multi-Channel MCG Denoising

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

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

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

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

Discriminative Directional Projection for Reverse Distillation in Breast Ultrasound Anomaly Detection

Discriminative Synergistic Temporal Diffusion for Ultrasound Video Thyroid Nodule Segmentation

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

Displacement Preserving Relational Distillation for Robust Medical 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

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

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-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents

Dynamic Spatial-Temporal Mapping for EEG-to-fMRI Synthesis via Gaussian-Guided Heterogeneous Graph Neural Network

EA-LDM: Explicit Alignment Latent Diffusion Model for Patient-Specific CT Reconstruction from Bi-planar X-Rays

ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos

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

EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model

Efficient Flow Matching for Sparse-View CT Reconstruction

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

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

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

Estimated Age-Guided Cerebral Microbleed Segmentation

Evidential Neural Networks for Uncertainty-Aware Alzheimer’s Disease Screening from Resting-State EEG

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

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 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

FARSIGHT: A Dynamic Multi Modal Medical Image Analysis Framework Powered by a Prior Knowledge Guided Vision Language Model

FDMMBone: Flow-Based Conditional Deformable Mesh Modeling for Accurate 3D Bone Defect Completion

Feature Space Guidance for Breast Cancer Classification in DCE-MRI

FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis

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

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

From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction

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 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

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

GeoCAN: Nonlinear Causal-Geometric Learning for Echocardiography Quality Assessment

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

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

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

Harmonic Kernel Mixing for Interpretable Oculomotor Event Segmentation in Video-Nystagmography

HbO2 and HbR Spatiotemporal Heatmap Feature Fusion Network for ADHD Diagnosis in Children

HEDS-Net: A Hybrid State-Space Architecture with Axial Bridge and Progressive Weighting for Medical Image Segmentation

Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation

Hierarchical Cross-Modal Fusion with Modality-Specific Training Paradigms for High-Precision Non-invasive Aging Assessment

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

HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation

HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification

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

Injecting a Low-Rank Background Prior: A Plugin for Medical Image Segmentation

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 Longitudinal Disease Forecasting with Graph-Based Multimodal Encoding and Population-Aware Language Generation

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

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

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

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

KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation

KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability

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

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

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

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-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 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 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 the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis

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 What Can Move: Patient-Specific Motion Subspaces from a Single Scan

Learning Where to Look: Pathologist-Inspired Multi-field-of-View Evidence Retrieval for Cell Type Classification in H&E

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

LOT-Bridge: A Latent Optimal Transport Bridge Based on Signed Distance Fields for Automatic Skull Defect Reconstruction

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

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

MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification

MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

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

Marginal Constrained Morphological Prototype Learning for Patch Search in Whole Slide Images

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

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

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

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

MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

MedTSC-Net: Bridging Semantic and Scale Gaps in Text-Guided Medical Image Segmentation

MedTS-TTT: Test-Time Training for Medical Time Series Classification

MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation

Memory-Guided Random-Direction Feature Disentanglement Model for Multi-phase MRI Translation

Merlin Plus: A Large-Scale, Multi-cancer, Image-Mask-Report Dataset

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

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

MoCaf-Mamba: Modality Completion and Alignment in Feature Space for Missing-Modality Segmentation

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

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-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-Conditioned Flow Matching for Pathology Nuclei Data Augmentation

Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment

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

MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography

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

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

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

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

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

One-Shot Data Selection for Medical Image Classification via Graph Coverage

On-Manifold Variational Learning with Heat-Kernel Priors

Open World MRI Reconstruction with Bias-Calibrated Adaptation

OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

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

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

PathoMamba: Piecewise-Diffeomorphic Registration via Stiffness-Modulated State Space Dynamics

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding

PC-VLG: Position-Correlated Vision–Language Graph Alignment for Semi-supervised Medical Image Segmentation

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

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-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

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

PICA: Physics-Guided Implicit Neural Fields with Boundary Conditioning for Intracranial Aneurysm Hemodynamics

Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI

PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

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

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

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

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

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

Proto-CAP: Prototype Memory Fusion and Curriculum-Adaptive Loss for Pediatric Myopia Visual Question Answering

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

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

Question-Driven Decision Tree via Knowledge Distillation for Interpretable Prediction

RACA: Rule-Aligned Collaborative Agents for Evidence-Grounded Breast Ultrasound Classification

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning

RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy

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

RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery

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

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

Reconstructing Isotropic 3D Cervical MRI from Anisotropic Clinical Scans via Anatomy-Style Decoupled INRs

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

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

ReMiX-Seg: Latent Modality Completion Meets Expert Routing for Robust Glioma Segmentation

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

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

Retrieval-Based Mixture-of-Experts for Patient-Specific Cancer Survival Prediction with Incomplete Multimodal Data

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

Riemannian Batch Normalization on Correlation Manifolds for EEG Decoding

R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration

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

RT-Super: Learning Tumor Segmentation from Longitudinal Images and Reports

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

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

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

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

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

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

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 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-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

Shape-Adaptive Guidance Signal for Interactive Cortical Sulcal Labeling

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

SkepticalNet: A Safety-Aware Interactive Segmentation Framework for Neuro-Oncology

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

SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis

Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory

Spatially-Aware Graph Geometric Representation for Lung Nodules Detection

Spatiotemporal Modeling of Tumor Dynamics via Optimal Transport for Enhanced Longitudinal Analysis

SPEAR: Error-Guided Sparse Refinement for Scalable Deformable Medical Image Registration

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

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

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-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

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

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

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

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

TGBD-Net: Tumor-Guided Bridging Distillation for Joint EGFR Mutation and Survival Prediction in Lung Cancer from CT Imaging

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

The Neuro-Developing Engine: a Surrogate Longitudinal Model for Infant Brain Dynamics Via Causal Distillation

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

TOFlow: Learning-Based Isotropic Reconstruction and Flow Mapping from Multi-orientation TOF-MRA

Tooth Alignment via Virtual Trajectories with Clinical Constraints

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 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 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

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

TRACE-PSG: Traceable Sleep Diagnosis Support with Pointer-Grounded Evidence

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

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

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation

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

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

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

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

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance

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

ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

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

WaCT-US: Cyclic-Alignment Scaled Contour Tubes for Efficient, Calibrated Uncertainty in Echocardiography

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

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

When, Where, and How: Adaptive Binning for Tabular Self-supervised Learning

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

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

Machine Learning -> Domain Adaptation / Harmonization

Active Source-free Domain Adaptation in Open-set Medical Image Segmentation via Decomposed Uncertainty and Prototype Discrepancy

Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation

Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

Anatomy-Texture Aware Safe Gradient Guidance for Source-Free Domain Adaptive Echocardiography Video Segmentation

Artifact-aware Prompt Learning for Domain Generalization

AsynDiff: Asynchronous-Timestep Diffusion with Noise-Aware Attention for Multi-sequence MRI Synthesis

Automated Disentangling Analysis of Skin Colour for Lesion Images

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Bridging Heterogeneous Medical Datasets via Mixture-of-Specialists Adapters for Unified Medical Image Classification

Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

Coarse-to-Fine Meta-Reweighting with Dynamic Retrieval for Adult-to-Pediatric Domain Adaptation in Tumor Segmentation

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework Without Direct DICOM Access

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival

DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy

DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy

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

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

FDRAS: Failure Diagnosis and Repair for Airway Segmentation

FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis

From Sparsity to Geometry: Spatial Modeling for 3D Reconstruction from Biplanar Bone X-rays

GCM-Net: Anatomy-Aware Gaussian-Contrastive Multi-layer Fusion Network for Abdominal Ultrasound Standard Plane Classification

Generative Anchor-Guided Federated Domain Generalization for Heterogeneous Pan Cancer Image Analysis

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

HD-TTA: Hypothesis-Driven Test-Time Adaptation for Safer Brain Tumor Segmentation

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation

LAD: Learnable Anisotropic Deformation for 3D Medical Image Analysis

Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis

Localization-Grounded Supervision: Revisiting Vanilla SFT of Large Vision-Language Models for Medical Image Analysis

Maximizing Domain Generalization in Automated Fetal Brain Biometry

MedTSC-Net: Bridging Semantic and Scale Gaps in Text-Guided Medical Image Segmentation

MetaVFM: Meta-Learned Efficient Adaptation of Vision Foundation Models for Medical Imaging

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation

Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

Plane-Wise Retrieval Memory and Structural Evidence Fusion for Tetralogy of Fallot Video Diagnosis

POT-SAM3: Prompt-Only Tuning for One-Shot Electron Microscopy Segmentation

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

Protocol-Manifold Coverage Learning (PMCL): Source-Free Active Adaptation for Multi-Center Nasopharyngeal Carcinoma MRI Segmentation

ReMiX-Seg: Latent Modality Completion Meets Expert Routing for Robust Glioma Segmentation

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

Segment Anything Model with Symmetric Spectral Uncertainty Gating for Generalizable Medical Image Segmentation

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 Learning on Lingual Ultrasound Video Encodes Clinically Meaningful Articulatory Structure of Rhotic Production in Residual Speech Sound Disorder

SHOT-CCR: Biologically Guided Adversarial Training for Test-Time Adaptation in Cellular Morphology

Source-Free Domain Adaptation for Medical Image Segmentation via LLM-Agent Collaboration

Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification

StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-Contrast CT

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

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

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation

Tracer-Adaptive Expert Learning for Generalizable PET Lesion Segmentation

Tri-KA: Tri-level knowledge anchoring test-time adaptation for source-free cross-site MRI rectal cancer segmentation

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

Uncertainty-Aware Spatio-Semantic Contextual Prompts for Multimodal Medical Segmentation

UniFCHarm: Unified Prompt-Guided Harmonization of fMRI Functional Connectivity Across Scanners and Atlases

Unsupervised Domain Adaptation for Pelvic Landmark Localization in CT and MR Using Landmark-Conditioned Synthesis

URLCF: Universal Representation Learning for Cross-Domain Few-Shot Autism Spectrum Disorder Detection

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

VesselSim: learning 3D blood vessel segmentation without expert annotations

Machine Learning -> Evaluation / Benchmarking / Reproducibility

A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

All-in-One Augmented Reality Guided Head and Neck Tumor Resection

AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery

Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores

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

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

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

CDFP-Net: Cross-Modal Dynamic Fusion with Diffusion Priors for PET-CT Tumor Segmentation

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

CoSim: Unleashing Eye Movements for EEG-Free Emotion Recognition via Conditional Prompting and Similarity-Guided Augmentation

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

Decoupled Ordinal Refinement with Geometric Alignment for Chest X-ray Severity Scoring

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

Differential Privacy Representation Geometry for Medical Image Analysis

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

Distilling Temporal Coherence Into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation

EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

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

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

IAVS: A Multi-center Dataset and Applicability Evaluation System for Computational Fluid Dynamics-Oriented Intracranial Aneurysm Segmentation

Inflated Performance in fMRI-Based ASD Diagnosis: A Reproducibility Study of Data Leakage in Feature Selection Pipelines

KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability

KJD-25K: A 3D Multi-modal Dataset and Benchmark for Knee Joint Diagnosis

Knowledge Distillation-Driven Quality Transfer with Importance-Guided Supervision for Fundus Image Enhancement

Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning

LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision–Language Models

MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification

MBFAD: Benchmarking Balance Function Assessment with Environmental Perturbation and Synergistic Tasks

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

MedFuse-Seg: Multi-level Visual and Semantic Context Fusion for Segmentation-Based Medical Reasoning

Medical Image Spatial Grounding with Semantic Sampling

MedObvious: Exposing the Medical Moravec’s Paradox in VLMs via Clinical Triage

Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy

Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment

Oculo: A Multilabel Dataset for the Identification of Ocular Abnormalities from Ultrasound Images

On the Behavior of Calibration Error Under Rater Disagreement

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

One-Shot Data Selection for Medical Image Classification via Graph Coverage

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

OphthFlowBench: A Unified Ophthalmology Multimodal Benchmark with Workflow-Aligned Evaluation

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

Reducing Expert Annotation Effort for CTA Vessel Delineation with Synthetic Pretraining

Research Design Considerations for Empirical User Studies in MICCAI

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning

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

SAM-Cluster and SAM-LP: Structure-Aware Evaluation Metrics for Selecting WSI Feature Extractors Without MIL Training

SlideGuard: WSI Artifact Detection Benchmark

Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

The Paper Has a GitHub, the GitHub Has a README, the README Has Nothing: Reproducibility Signals for Review Support

ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2

Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain

Understanding Model Behavior in Monocular Polyp Sizing

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

Machine Learning -> Fairness / Safety / Reliability

ACA: Post-hoc Adaptive Logit Alignment for 3D Medical Image Segmentation

Adapting Ordinal-Risk Alignment for Clinically Safe Diabetic Retinopathy Grading

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

Are Foundational Models Less Biased Than Specialized Models? An Ultrasound Study

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment

Confidence-Aware Supervision for Robust Multi-task Embryo Grading

CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support

Decoupled Ordinal Refinement with Geometric Alignment for Chest X-ray Severity Scoring

DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

Differential Privacy Representation Geometry for Medical Image Analysis

Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI

DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model

EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

Fair Curriculum Learning for Concept Bottleneck Models in Dermatology

FairGE: Gated Expert Routing for Intersectional Fairness in Medical Foundation Models

Faithful, Interpretable Chest X-ray Diagnosis with Artifact-Free B-cos Networks

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

Group-Conditioned Representation Modulation for Fair Skin Disease Diagnosis

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

Harmless Copyright Protection for CT Dataset

High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

Human-AI Collaboration for 2D/3D Registration Quality Assurance

KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection

Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations

Localization-Grounded Supervision: Revisiting Vanilla SFT of Large Vision-Language Models for Medical Image Analysis

Longitudinal Reliability of Cross-Sectional Normative Models Under Measurement Error

MASurv: Risk-Conditional Martingale Adversarial Training for Calibrated Multi-slide Survival Prediction in Whole-Slide Histopathology Images

Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models

Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation

MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography

On the Behavior of Calibration Error Under Rater Disagreement

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

SkepticalNet: A Safety-Aware Interactive Segmentation Framework for Neuro-Oncology

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation

SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes

Trustworthy Endoscopic Super-Resolution

VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation

VoxShield: Protecting 3D Medical Datasets from Unauthorized Training via Frequency-Aware Inter-Slice Disruption

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers

Machine Learning -> Foundation Models

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring

A Unified Few-Shot Framework for Multi-Atlas Neuroimaging Segmentation Leveraging Vision Foundation Models

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays

Are Foundational Models Less Biased Than Specialized Models? An Ultrasound Study

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

Benchmarking Video Foundation Models for Remote Parkinson’s Disease Screening

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

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study

ConnecToMind2: Inter-Subject fMRI Decoding via Whole-Brain Connectome-Guided Alignment

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

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

DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology

Differential Privacy Representation Geometry for Medical Image Analysis

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image 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

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation

EchoFID: A Multi-teacher Distilled Evaluation Network for Cardiac Ultrasound Image Generation

EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

EEGRFusion: Uncertainty-Aware EEG-to-Image Evidence for Adjunct Bedside Assessment of CMD in Disorders of Consciousness

EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video

EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning

FairGE: Gated Expert Routing for Intersectional Fairness in Medical Foundation Models

Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters

From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction

From Patches to Patients: A Study of the Tile-to-Slide Performance Transferability in Digital Pathology

Genetically Aligned Patient Representations Improve Hematological Diagnosis

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

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

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer

Hierarchical Region-Aware Multi-Granularity Mamba for White Matter Lesion Segmentation

HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

HK-Fuse: Hilbert-Interleaved Kimi Delta Attention for Incomplete-Modality Brain Tumor Segmentation

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space

ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-supervised Masked Autoencoders

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Inversion from ECG Foundation Model

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

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

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

Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning

Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT

LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-Ray

LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

MammoFlow: Multiview Mammogram Synthesis with Anatomically Consistent Flow Matching

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

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

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

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

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

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models

MuellerPT: Decomposition Driven Pre-training for Dense Learning in Mueller Polarimetry

Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation

NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening

One-Shot Data Selection for Medical Image Classification via Graph Coverage

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration

OPVD: On-Policy Chain-of-Visual-Thought Distillation for Medical Reasoning

PALETTE: Pathology-Aware Latent Embedding for Targeted Tissue Expression

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

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding

PC-VLG: Position-Correlated Vision–Language Graph Alignment for Semi-supervised Medical Image Segmentation

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification

Prompt and Probe: Data-Efficient Adaptation of Black-Box Foundation Models via Unified Active Visual Prompting

Prototype-based Physiological Transfer Enables NCCT-only Hyperacute Stroke Tissue-Window Segmentation Under Missing Perfusion

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

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

Residual-Aware Structured Pruning with Dual-Stream Alignment for Adapter-Tuned SAM

Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation

ROTE: Routing–Timescale Framework for Balanced Expert Allocation in MoE-Based Continual Segmentation

SAM-Cluster and SAM-LP: Structure-Aware Evaluation Metrics for Selecting WSI Feature Extractors Without MIL Training

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

Segment Anything Model with Symmetric Spectral Uncertainty Gating for Generalizable Medical Image Segmentation

ShapeEFM: A Shape-Based Pretrained Foundation Model on ECG Morphology Comprehension

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

Subject- and Task-Aware EEG Foundation Model

SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

SynMamba: Synergizing Visual Mamba with Synthesized Clinical Semantics for Boundary-Aware Segmentation

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation

TotalFM: An Organ-Separated 3D-CT Foundation Model Leveraging Large-Scale Routine Clinical Radiology Data

Toward Thyroid Cancer BRAF V600E Mutation Prediction via Multimodal Large Language Model: Dataset and Model Development

Towards Unified Image–Video Modeling Across B-Mode and Contrast-Enhanced Ultrasound for Multi-task Analysis

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Uncertainty-Aware Spatio-Semantic Contextual Prompts for Multimodal Medical Segmentation

Unleashing Video Language Models for Fine-grained HRCT Report Generation

VRUGA: Visual and Reasoning Uncertainty Guided Active Learning for Medical MLLM Post-training

When Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

Machine Learning -> Interpretability / Explainability

A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics

A Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning

AC-MIL: Weakly-Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

Anatomy-Aware Hierarchical Multiple Instance Learning for Interpretable COPD Diagnosis and Phenotype Analysis

Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays

AsynDiff: Asynchronous-Timestep Diffusion with Noise-Aware Attention for Multi-sequence MRI Synthesis

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

BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment

BrainACU: Asynchronous Coordination Unit Modeling for Dynamic Brain Network Analysis

BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability

BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use

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

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

Clinically-Grounded Hierarchical Classification for Consistent Chest X-ray Interpretation

ConceptIL: Concept Incremental Learning for Interpretable Medical AI

Counterfactual Contrastive Analysis

Counterfactual Stress-Testing for Fixing Lung Cancer Segmentation Models

Cross-Modal Concept Transfer: From ECG Signals to Images for Explainable Disease Prediction

Decoding the Alzheimer’s Continuum: Interpretable Multi-gate Routing for Diagnosis and Transition Prediction

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

Deep-IMMA: an Interpretable Immune-Aware Multimodal Deep Representation Learning for Cancer Prognosis and Recurrence Prediction

DepthPilot: From Controllability to Reliability in Colonoscopy Video Generation

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

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

Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI

ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation

EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

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

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

Fair Curriculum Learning for Concept Bottleneck Models in Dermatology

FairGE: Gated Expert Routing for Intersectional Fairness in Medical Foundation Models

Faithful, Interpretable Chest X-ray Diagnosis with Artifact-Free B-cos Networks

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

Gene-Selective Morphological Conditioning with Heteroscedastic Flow Matching for Spatial Transcriptomics

GG-AE: Genetically-Guided Autoencoder for Disentangling Structural Networks of Brain Atrophy

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment

H2GT: Hub-enhanced Hierarchical Graph Transformer for Explainable Diagnosis of ASD with Functional Brain Networks

HemoPIC: A Physics-Informed Cerebral Hemodynamics Digital Twin for Brain Perfusion

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning

HoughSAM: Geometry-Guided Zero-Shot Segmentation of Main Incision in Cataract Surgery Using SAM2 for Skill Assessment

Human-AI Collaboration for 2D/3D Registration Quality Assurance

HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

Image-mediated fMRI-to-caption generation with visual pathway tokens and hyperbolic alignment

Inflated Performance in fMRI-Based ASD Diagnosis: A Reproducibility Study of Data Leakage in Feature Selection Pipelines

Interaction-Aware Contrastive Multi-task Learning for Joint Segmentation and Malignancy Classification in Thyroid Ultrasound

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

Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

Joint Imaging–ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification

KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation

KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability

Latent-CURE: Interpretable Breast Cancer Diagnosis via Dual-Asymmetric Chain-of-Thought

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

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

LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics

LLM-Steered Clinical Knowledge Discovery for CVD Outcome Modeling

Localization-Grounded Supervision: Revisiting Vanilla SFT of Large Vision-Language Models for Medical Image Analysis

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

Modeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos

MS-GDUN: Multi-scale Graph Deep Unfolding Network with Gradient-Threshold Learning for FMT Reconstruction

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Multimodal Large Language Model-Driven Self-Verification Reasoning for Interpretable Diagnosis of Diffuse Cystic Lung Diseases

MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography

NetCorr: A Resection-Induced Network Perturbation Framework for Predicting Seizure Freedom in Drug-Resistant Epilepsy

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

Pathologist Attention–Aligned Report Generation for Prostate Histopathology

Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

Positive Semi-definite Group-Aware Instance Disentangled Learning for WSI Representation

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

Prototype Instance-Semantic Disentanglement with Low-Rank Regularized Subspace Clustering for WSIs Explainable Recognition

Proxy-CAC: Learning Coronary Calcium Segmentation from Volume-Level Scores

Question-Driven Decision Tree via Knowledge Distillation for Interpretable Prediction

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

SANT-CBM: Structurally-Aware and Noise-Tolerant Semi-supervised Concept Bottleneck Models

SAVer: Structure-Aware Validation of Standard Fetal Head Planes via Clinically Grounded Anatomical Completeness

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

SLICE-MIL: Counterfactual Semantic Anchoring of Disentangled Evidence for Child-Pugh Grading

SONIC: Sonographer-Inspired Conceptual Explanation for Neural Networks

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI

Stage-Aware Adaptive Reaction–Diffusion Framework for Modeling Alzheimer’s Disease Progression with Tau and Amyloid-β PET Scans

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

Testable Concept Bottlenecks for Pretreatment pCR Prediction in Breast DCE-MRI: Faithfulness and Reliability

Text as the Sieve: Information Bottleneck Guided Prototype Sieving for Text-Guided Medical Image Segmentation

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

VCDA-Net: Graph-Guided Voxel-Cluster Density Attention for Global-Regional Brain Age Gap Estimation

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers

Machine Learning -> Multimodal Models / LLMs / VLMs

3D Classification of Paramagnetic Rim Lesions in Multiple Sclerosis via Asymmetric QSM–FLAIR Modeling

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management

A Confounder-aware Representation Learning Framework for Alzheimer’s Disease Classification

A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring

AdaBIMBA: Adaptive Token Compression for Long Endoscopy Video Understanding

Addressing Gradient Conflicts in Multimodal Fundus Disease Recognition with Fusion-Guided Learning

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

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

AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery

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 Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision–Language Prognostic Modeling in Hepatocellular Carcinoma

BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment

Born Different: A Multi-level Individualized Modeling Framework for Embryo Euploidy Prediction

BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

Calibrated Confidence Expression for Radiology Report Generation

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

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

CARE: Clinically Aligned Retrieval Evidence for Consistent Radiology Report Generation

CARE: Confidence-Aware Reasoning for Reliable Medical VQA

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

CerviThink: A Reinforced Visual Reasoning Framework for Cervical Cancer Cell Classification

CheXanatomy: Anatomy–Aware Vision–Language Modeling for Chest Radiographs

CIGTSurv: Clinical Information Guided Tri-Modal Survival Prediction with Local Prototype Association and Global Feature Alignment

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

ClinRAG-GRAPH: Clinical-Prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Compass: Prostate Cancer Detection Needs Multi-view Context

Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings

CoSim: Unleashing Eye Movements for EEG-Free Emotion Recognition via Conditional Prompting and Similarity-Guided Augmentation

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

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-Modal Concept Transfer: From ECG Signals to Images for Explainable Disease Prediction

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models

CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support

DCLDs-RAG: Evidence-Grounded Multimodal Retrieval-Augmented Generation for Diffuse Cystic Lung Diseases Diagnosis

Decouple and Reason: Anatomically Guided Two-Stage Grounding of Lung Lesions in 3D Chest CT from Free-Text Reports

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

Demographic-Conditioned State Space Models for ECG-Based Age Estimation

DermAgent: A Multi-Tool Agentic System for Evidence-Grounded and Traceable Reasoning in Dermatology

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

DGFMIL: Fuzzy Multi-instance Learning with Cross-Granularity Calibration and Soft Semantic Routing for Histopathological Image Staging

Diagnose Like a Doctor: Misdiagnosis-Aware Structured Memory for Continual Learning of Medical Vision-Language Models

Diagnostic Evidence-Based Prototype Learning via Dirichlet Process for Multimodal Bone Tumor Subtyping

Di-PACT: Discrete Prognosis via Aligned Co-Topology of Pathways and Tumor Microenvironment

Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation

DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation

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-Space Cold-Start Active Learning Guided by SAM3 for Medical Image Segmentation

DUCX: Decomposing Unfairness in Tool-Using Chest X-Ray Agents

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

ECLIPSE: EHR-Constrained Localized Inference for Pan-Tumor Segmentation

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

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

Enhancing Pathological VLMs with Cross-scale Reasoning

Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities

Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning

FARSIGHT: A Dynamic Multi Modal Medical Image Analysis Framework Powered by a Prior Knowledge Guided Vision Language Model

Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters

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

FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance

Frequency-Aware Prototype Learning in VLM for Intracranial Aneurysm HR-VWI Segmentation

From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision-Language Pretraining

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

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

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT

Global-Local Structure-Aware Alignment for Automated LGE MRI Report Generation

GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

Hierarchical Disentangled Consistency Learning for Semi-supervised Multi-modal Medical Image Segmentation

Hierarchical Memory for Radiology Report Generation with Rich Context

HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation

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

How Good Are Foundation Models in Longitudinal MRI Disease Progression Reasoning?

Human-In-The-Loop Multi-agent Ventilator Decision Support with Contextual Bandit Preference Learning

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

Interpretable Longitudinal Disease Forecasting with Graph-Based Multimodal Encoding and Population-Aware Language Generation

Interpretable Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

Just 32 Tokens: Medical Referring Image Segmentation via Next-Token Mask Prediction

KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability

KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection

KJD-25K: A 3D Multi-modal Dataset and Benchmark for Knee Joint Diagnosis

LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models

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

Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis

Learning Role-Conditioned Alignment for Medical Image Referring Segmentation

Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT

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

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation

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

LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision–Language Models

M3D-QAdapter: 3D Medical VQA with Lesion-Level Finding-Segmentation Alignment and Query-Driven Adaptive Token Reduction

Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

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

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 Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

MedObvious: Exposing the Medical Moravec’s Paradox in VLMs via Clinical Triage

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

MedTSC-Net: Bridging Semantic and Scale Gaps in Text-Guided Medical Image Segmentation

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation

MicroscopyCLIP: A Domain-Specific Vision-Language Model for Optical Microscopy

MiGAD: Gut Microbiota-informed Genetic Surrogates for Multimodal Alzheimer’s Disease Diagnosis

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

MRSeg3D: A Perturbation-Resilient Model for 3D Medical Reasoning Segmentation

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

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

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

Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation

Mutually Promoted Medical Image Segmentation and Classification via Prompt-Driven Interaction

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

NeuroAlign: A Unified Plug-and-Play Enhancer for Visual and Linguistic Brain Decoding

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation

Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

Ontology-Grounded Structured Prediction for Dental CBCT Reporting

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

OPVD: On-Policy Chain-of-Visual-Thought Distillation for Medical Reasoning

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding

PC-VLG: Position-Correlated Vision–Language Graph Alignment for Semi-supervised Medical Image Segmentation

PETFlux: Taming Natural Foundation Models for Accurate MRI-to-PET Synthesis

Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

Plane-Wise Retrieval Memory and Structural Evidence Fusion for Tetralogy of Fallot Video Diagnosis

PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness

Pressure-Tuned Auditor for Sycophancy-Resistant Breast Ultrasound VLM Diagnosis

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

Proto-CAP: Prototype Memory Fusion and Curriculum-Adaptive Loss for Pediatric Myopia Visual Question Answering

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

Quantify, Collect, and Correct: Evidence-Driven Multi-agent Framework for Critical Evidence Refinement in Emergency Rooms

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

RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models

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

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology 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

ReportX: The BraTS Clinical Report Dataset

Resolution-Conditioned Representation Learning for Unified Brain MRI Modeling

Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

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

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

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

SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

SAR-Net: Sample-Agnostic Retrieval Network for Robust Brain Tumor Segmentation with Missing Modalities

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation

Semantic-Consistent Dual-Image Vision-Language Alignment via Modality Routing for 3D PET/CT

SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment

Situational context embedding and knowledge-based grounding for LLMs in surgical training assistance

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

Smartphone-Based ASD Screening via Instance-Adaptive Cross-Modal Fusion and Contrastive Learning

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

Spectral-Semantic Consensus for Few-Shot Whole Slide Image Classification

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification

Surgical Video Temporal Grounding

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary

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

Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology

SynMamba: Synergizing Visual Mamba with Synthesized Clinical Semantics for Boundary-Aware Segmentation

SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

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

Think Global, Look Focal: Dual-Stream Retrieval-Augmented Pathology Report Generation for Whole Slide Images

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories

TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis

TopoOR: A Unified Topological Scene Representation for the Operating Room

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 Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

TRACE-PSG: Traceable Sleep Diagnosis Support with Pointer-Grounded Evidence

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

Unified Multimodal Model for Brain MRI Imputation and Understanding

Unleashing Video Language Models for Fine-grained HRCT Report Generation

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering

VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation

VRUGA: Visual and Reasoning Uncertainty Guided Active Learning for Medical MLLM Post-training

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

Wavelet-Enhanced Coarse-to-Fine Radiology Report Generation with Large Language Models

When Does Uncertainty Become Meaningful in Medical Vision-Language Models? Alignment Enables Disease-wise Uncertainty and Risk-Aware Prediction

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

Machine Learning -> Other

ALFA: Biplanar X-Ray Reconstruction via Anatomy-Latent Field Adaptation

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

BREIT: A Framework for Brain Stroke Reconstruction using Multi-frequency 3D EIT

Collaborative Topology and Connectivity Learning for EM Neuron Segmentation

Contrast-Invariant Reference-Based Slice Thickness Estimation in MRI via Spectral Matching

Dual-Stage Course-to-Fine Tooth Alignment Framework with Decoupled Position, Orientation and Shape Features

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

LumiState: Retinex-inspired Illumination Decoupling in 4D Gaussian Splatting for Endoscopic Reconstruction

MEC: Medical Evidence Capsules for Retrieval-Augmented Generation in Medical Multimodal Question Answering

Motion-Conditioned Multi-view Fusion for Myocardial Infarction Localization from Echocardiography

On-Manifold Variational Learning with Heat-Kernel Priors

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization

Research Design Considerations for Empirical User Studies in MICCAI

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

SSPT: Spiking Serialized Point Transformer for Couinaud Segmentation in 3D Medical Data

Trackerless Ultrasound Pose Estimation via Correspondence-Aware Tokenization and Flow-Matching Transformers

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

Where Is the Needle Tip? VA Sensing Reveals Hidden Needle-Tissue Transitions During US Guidance

Machine Learning -> Pathomics

A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

COAST: Context-Aware Differential Learning for Gene Expression Prediction in Spatial Transcriptomics

FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics

GeneRAG: A Retrieval-Augmented Framework for Spatially Resolved Gene Expression Prediction

Generative Anchor-Guided Federated Domain Generalization for Heterogeneous Pan Cancer Image Analysis

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

IgG4-QPC: Quantitative Pathology-Consistent Virtual Staining from H&E to IgG4

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation

Learning Where to Look: Pathologist-Inspired Multi-field-of-View Evidence Retrieval for Cell Type Classification in H&E

Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction

QCAgent: An Agentic Framework for Quality-Controllable Pathology Report Generation from Whole Slide Image

TinyH2GNet: Exploring Lightweight Models for Gene Expression Prediction from H&E Images

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

Machine Learning -> Radiomics / Radiogenomics

Echo-SCAR: Temporal Feature Learning for Myocardial Scar Detection from Routine Echocardiography

Multi-regional CT Radiomics Fusion to Quantify Pathology-Derived Pollutant Burden in Lung Cancer

Radiogenomics-Driven Hierarchical Multimodal Stacking for Non-invasive Triage of High-Risk PKD1-Truncating Genotypes in ADPKD

Through-Plane Attention for Anisotropic CT Super-Resolution Improves Quantitative Lung Cancer Analysis

Machine Learning -> Reinforcement Learning / Control / Decision-Making

Adapting Ordinal-Risk Alignment for Clinically Safe Diabetic Retinopathy Grading

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

CARE: Confidence-Aware Reasoning for Reliable Medical VQA

CerviThink: A Reinforced Visual Reasoning Framework for Cervical Cancer Cell Classification

E-MRL: Cross-View Aligned Evidence-Driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval

Human-In-The-Loop Multi-agent Ventilator Decision Support with Contextual Bandit Preference Learning

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

MedEnv: Scaling Multimodal Virtual Medical Environments for Long-Horizon Diagnosis

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning

RAPO: Risk-Aware Anatomical Prior Optimization via Reinforcement Learning for CAC Detection in Rheumatoid Arthritis

SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

SeedPro: Place Brachytherapy Seeds Like Expert Clinicians via Hierarchical Reinforcement Agents

S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation

SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space

TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis

Towards Versatile and Safe Multi-electrode Path Planning for SEEG Implantation

TRACE-PSG: Traceable Sleep Diagnosis Support with Pointer-Grounded Evidence

VigilSAM3: Reinforcement-Optimized Memory Gating for Ultra-Long Surgical Video Segmentation

VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation

Machine Learning -> Semi- / Weakly- / Self-supervised Learning

A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces

AC-MIL: Weakly-Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

Aligning Prototypes and Updating Null Spaces for Continual WSI Learning

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-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays

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

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

BDFR-Net: Boundary-Aware Dual-Domain Feature Reconstruction Network for Fetal Ultrasound Image Segmentation

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability

Brain-Specialized Self-supervised Learning: Neuroanatomy-Aware Spatial Priors for 3D Brain MRI

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

Bridging EEG to fMRI: Semi-Supervised Functional Connectivity Translation via Latent Alignment

C²RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

CardiacPULSE: Frequency-Aware Self-supervised Cardiac Phase Detection in Echocardiography

CDFP-Net: Cross-Modal Dynamic Fusion with Diffusion Priors for PET-CT Tumor Segmentation

CiLA: Knowledge-Preserving Self-supervised Adaptation of CLIP for Fundus Imaging

Compass: Prostate Cancer Detection Needs Multi-view Context

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

DGFMIL: Fuzzy Multi-instance Learning with Cross-Granularity Calibration and Soft Semantic Routing for Histopathological Image Staging

DiCoP-SAM: Disagreement-Band Guided Corrective Prompting for Collaborative Semi-Supervised Medical Image Segmentation

Diffusion-Guided Anatomical Position Encoding for Dense Longitudinal CT Correspondence

Discriminative Directional Projection for Reverse Distillation in Breast Ultrasound Anomaly Detection

Distilling Temporal Coherence Into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

DK-Net: Semi-supervised Wavelet-KAN Landmark Localization for Angle of Progression Measurement in Intrapartum Transperineal Ultrasound

Dual Agreement Consistency Learning for Semi-supervised Fetal Ultrasound Segmentation

Dual-Modality Neural Network Integrating Sequence and Structural Information for Drug-Target Interaction Prediction

Dual-Teacher Knowledge Distillation with SAM and Learnable Prototype Guidance for Semi-supervised 3D Medical Segmentation

ECHO: Estimated Composite Hybrid Observation for Zero-Shot Self-Supervised MRI Reconstruction

EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model

EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

Exploring Efficient Weakly Supervised Ultrasound Video Object Segmentation with VLM-Guided Structure Advantage Learning

FARSIGHT: A Dynamic Multi Modal Medical Image Analysis Framework Powered by a Prior Knowledge Guided Vision Language Model

FluxCut: Shifting from Global Reconstruction to Local Geometry for Unsupervised Small Lesion Segmentation

Frequency and Geometry Guided Graph Clustering for Weakly Supervised Skin Lesion Segmentation

From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

Genetically Aligned Patient Representations Improve Hematological Diagnosis

Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

GG-AE: Genetically-Guided Autoencoder for Disentangling Structural Networks of Brain Atrophy

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

HeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction

HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-task Breast Cancer Analysis

Hierarchical Cautious Optimization for Semi-supervised Medical Image Segmentation

Hierarchical Disentangled Consistency Learning for Semi-supervised Multi-modal Medical Image Segmentation

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Hyperbolic Vision-Language Interaction for Semi-supervised Medical Image Segmentation

ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-supervised Masked Autoencoders

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

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

Joint Decomposition and Learned Deformation for Part-to-Whole MRI to Histology Registration

Latent Lessons from Histopathology: A Registration-Free Cross-Modal Supervision Framework for mpMRI-Based ISUP Grading

Learning Beyond Pixels: Structured Knowledge Topology Consistency for Semi-supervised 2D/3D Medical Image Segmentation

Learning Invariant Anatomical Representations from Multi-Sequence MRI for Brain Segmentation

Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

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 Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

Marginal Constrained Morphological Prototype Learning for Patch Search in Whole Slide Images

Maximizing Domain Generalization in Automated Fetal Brain Biometry

MDL-DA Track: Self-supervised Sperm Motility Direction Learning and Density-Adaptive Association for Sperm Tracking

MedPro: Dual-View Propagation and Prototypical Assessment for Training-Free Few-Shot Medical Segmentation

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

Mitigating Grade Boundary Conflicts for Disease Severity Grading with Ambiguous Labels

MMIC-EndoDepth: Self-Supervised Endoscopic Depth Estimation with Multi-Mechanism Illumination Correction

MuellerPT: Decomposition Driven Pre-training for Dense Learning in Mueller Polarimetry

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Multilayer Modularity-Aware Graph Autoencoder for Detecting Subpopulation Community Structure in Dynamic Brain Networks

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

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

NoiBox: Safeguard Frontier via Reverse Adversarial Diffusion for Noisy-Box-Supervised 3D Tumor Segmentation

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

One-Shot Data Selection for Medical Image Classification via Graph Coverage

On-Manifold Variational Learning with Heat-Kernel Priors

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations

Organ-Invariant Tumor Representation Learning via Disentangled Adversarial MAE for Multi-organ Ultrasound Imaging

OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva

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

PAVL: Enhancing Feature Prototype Alignment with Vision–Language Model for Semi-supervised Medical Image Segmentation

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

PhyRadGS: Physics-Aware Radiative Gaussian Splatting for Fly-Scanning CBCT Reconstruction

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

Positive Semi-definite Group-Aware Instance Disentangled Learning for WSI Representation

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Progressive Self-supervised Learning with Individualized Community Assignment for Brain Network Analysis

ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression

Proxy-CAC: Learning Coronary Calcium Segmentation from Volume-Level Scores

QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging

Quality-Guided Semi-supervised Learning for Medical Image Segmentation

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

RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery

ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views

Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

Representation Learning with Distance-Residualized Functional Connectivity for Cortical Parcellation from rs-fMRI

Retrieval-Guided Semi-supervised Federated Learning for Medical Image Segmentation

Reward-Guided Distillation: A Progressive Pseudo-Bag Purification Framework for WSI Multiple Instance Learning

SA-CFM: Structure-Aware Continuous Flow Matching for Normative Modeling of EEG Microstate

SAM-Cluster and SAM-LP: Structure-Aware Evaluation Metrics for Selecting WSI Feature Extractors Without MIL Training

SAR-Net: Sample-Agnostic Retrieval Network for Robust Brain Tumor Segmentation with Missing Modalities

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

SCKAN: Structural Consensus-Based KAN Prototype Learning for Semi-supervised Pancreas Segmentation

ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy

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 Spline Autoencoder for Smooth Latent Dynamics in Echocardiography

Self-supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping

Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI

Shared Gaussian Geometry for Brain MRI Spatial Resolution Harmonization Without External Training

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

Source-Free Domain Adaptation for Medical Image Segmentation via LLM-Agent Collaboration

Sparse Autoencoders for Interpretable Medical Image Representation Learning

SRPAN: Implicit Neural Slice-to-Volume Reconstruction for Super-Resolution Pancreatic MRI

SS-IoSR: Self-supervised Intraoral Scans Repair

Structural-Semantic Aware Information Reduction for Asymmetric EEG-Visual Alignment

Structure-Contrast Disentangled INRs for Accelerated Multi-contrast MRI Reconstruction

SurgZSD: Zero-Shot Surgical Action Triplet Detection via Attribute Composition and Clinical Feasibility Inference

SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

Test-Time Adaptation for Rare Surgical Phase Recognition: Bridging the Coverage-Gap Paradox

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

TOF-GR: Unsupervised PET Reconstruction via Time-of-Flight Gaussian Representation and Kernel-Based Prior Modeling

TracerAD: Training-Free Few-Shot 3D Anomaly Detection for Novel PET Tracers

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

TRIAGE-MIL: Multi-axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images

TrustSyn: Reliable and Divergent Synergy for Mixed-Domain Fundus 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

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

VRUGA: Visual and Reasoning Uncertainty Guided Active Learning for Medical MLLM Post-training

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical 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 Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography

When, Where, and How: Adaptive Binning for Tabular Self-supervised Learning

Machine Learning -> Synthetic Data / Data-centric AI

A Deep Learning Surrogate Model for Microwave Thermal Ablation: From Preoperative Planning to Intraoperative Re-planning

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-view Matching

Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

Conditional Latent Diffusion Model with Fourier-Based Motion Modelling for Virtual Population Synthesis

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

CT2-DiT: Enabling Abdominal Non-contrast to Contrast-Enhanced CT Translation with Diffusion Transformers in the Low-Data Regime

CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

DeformTTA: Morphology-Aware Controllable Deformation for Test-Time Adaptation in Fetal Cardiac Ultrasound Image Segmentation

DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image Classification

Device-Constrained Real-Time EVD Catheter Segmentation

Distilling Photon-Counting CT Into Routine Chest CT Through Clinically Validated Degradation Modeling

DTI-Guided Volumetric Spherical Harmonics Regression for Single-to-Multi-shell dMRI Synthesis

Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

Dynamic Spatial-Temporal Mapping for EEG-to-fMRI Synthesis via Gaussian-Guided Heterogeneous Graph Neural Network

EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis

EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

MammoFlow: Multiview Mammogram Synthesis with Anatomically Consistent Flow Matching

MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry

MEC: Medical Evidence Capsules for Retrieval-Augmented Generation in Medical Multimodal Question Answering

MedFuse-Seg: Multi-level Visual and Semantic Context Fusion for Segmentation-Based Medical Reasoning

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

MicroscopyCLIP: A Domain-Specific Vision-Language Model for Optical Microscopy

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

Multimodal-Conditioned Flow Matching for Pathology Nuclei Data Augmentation

Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis

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

One-Shot Data Selection for Medical Image Classification via Graph Coverage

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation

PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Refining 3D Medical Segmentation with Verbal Instruction

RePCM: Region-Specific and Phenotype-Adaptive Bi-ventricular Cardiac Motion Synthesis

ReScan-IA: A Spatially-Adaptive Diffusion Framework for Controllable 3D Intracranial Aneurysm Inpainting

Residual Diffusion Bridge in Wavelet Space for Medical Image Translation

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation

Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI

Structural Congruence Matters: Biological Pretraining for Vascular Graph Extraction

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

SynHydro: Biomechanics-Driven Domain Randomization for Hydrocephalus-Agnostic, Generalizable Tissue-Ventricle Segmentation Across Age, Modality, and Resolution

Text-Deficient Multimodal Stroke Segmentation with Lesion-Grounded Self-Retrieval-Augmented Generation

Through the Schrödinger Bridge: Benchmarking Antemortem Image Restoration from Postmortem Autolysis to Enhance Forensic Diagnostics

Time Matters: Rethinking Diffusion and Flow Models in One-Step Medical Image Translation

TotalFM: An Organ-Separated 3D-CT Foundation Model Leveraging Large-Scale Routine Clinical Radiology Data

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

Unified Multimodal Model for Brain MRI Imputation and Understanding

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

Unsupervised Domain Adaptation for Pelvic Landmark Localization in CT and MR Using Landmark-Conditioned Synthesis

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

VRUGA: Visual and Reasoning Uncertainty Guided Active Learning for Medical MLLM Post-training

Machine Learning -> Uncertainty Quantification

A Real-World Evaluation of Failure Detection for Liver CT Segmentation

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

B-spline Activations as Intrinsic Uncertainty Estimators in Medical Image Segmentation

CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification

Calibrated Confidence Expression for Radiology Report Generation

CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection

Confidence-Aware Supervision for Robust Multi-task Embryo Grading

Conformal 3D Lesion Segmentation with Balanced Risk Control

DDecomp: Structured Uncertainty Decomposition Using Masked Autoencoders for Anomaly Detection in Diffusion MRI

Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-consistency

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

DGFMIL: Fuzzy Multi-instance Learning with Cross-Granularity Calibration and Soft Semantic Routing for Histopathological Image Staging

Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI

Dual-Space Cold-Start Active Learning Guided by SAM3 for Medical Image Segmentation

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

Efficient Conformal Volumetry for Template-Based 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

FedSwitch: From Standard to Balanced Aggregation via Private Histogram Estimation in Federated Medical Image Classification

ImPartial: Multi-channel Whole-Cell Segmentation Using Partial Annotations

Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability

Latent-to-Latent Flow for Volumetric Stochastic Segmentation

LLM-Steered Clinical Knowledge Discovery for CVD Outcome Modeling

Longitudinal Reliability of Cross-Sectional Normative Models Under Measurement Error

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

Measuring Prediction Uncertainty in Neural Cellular Automata

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction

On the Behavior of Calibration Error Under Rater Disagreement

On-Manifold Variational Learning with Heat-Kernel Priors

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation

RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

Retinopathy of Prematurity Staging via Prototype-Evidential Learning

Robust Colonoscopy Video Polyp Segmentation via Quality-Aware Memory and Prototype Alignment

SHINE: An Entropy-Guided Digital Twin Framework for 3D Myocardial Scar Reconstruction from Sparse CMR

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

Trustworthy Endoscopic Super-Resolution

Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

Uncertainty-Guided Conservative Propagation for Coronary Artery Segmentation

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

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

When Does Uncertainty Become Meaningful in Medical Vision-Language Models? Alignment Enables Disease-wise Uncertainty and Risk-Aware Prediction

When Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography

Modalities -> CT / X-ray

3D Cerebrovascular Shape Completion from Biplane Angiography and CTA Prior

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 Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

A Real-World Evaluation of Failure Detection for Liver CT Segmentation

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

ACA: Post-hoc Adaptive Logit Alignment for 3D Medical Image Segmentation

Active Source-free Domain Adaptation in Open-set Medical Image Segmentation via Decomposed Uncertainty and Prototype Discrepancy

Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation

AHPR-Net: Anatomy-aware Hierarchical Prompting Refinement Network for Spine Image Segmentation

ALFA: Biplanar X-Ray Reconstruction via Anatomy-Latent Field Adaptation

AMFG: Anatomy-Grounded Multi-finding Guidance for Training-Free Chest X-Ray Generation

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Aware Hierarchical Multiple Instance Learning for Interpretable COPD Diagnosis and Phenotype Analysis

Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-view Matching

Anatomy-Structured Hierarchical MIL for Weakly-Supervised Thoracic Disease Detection in Chest X-Rays

APEX-SAM: Anatomy-Aware Prompting with Expert Retrieval for Training-Free Medical Image Segmentation

Artery and vein segmentation on brain CTA using CTP for contrast-phase augmentation

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

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

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 Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

Bidirectional Anatomy-Aware Post-Training for Longitudinal Chest X-Ray Progression Modeling

BiM-GeoAttn-Net: Linear-Time Depth Modeling with Geometry-Aware Attention for 3D Aortic Dissection CTA Segmentation

Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies

Breaking Annotation Dependency in Coronary Stenosis Segmentation via Physics-Driven Sim2Real Learning

Bridging Heterogeneous Medical Datasets via Mixture-of-Specialists Adapters for Unified Medical Image Classification

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

Calibrated Confidence Expression for Radiology Report Generation

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

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening

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

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

Cervical Vertebral Maturation Staging from a Continuous Perspective

CheXanatomy: Anatomy–Aware Vision–Language Modeling for Chest Radiographs

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models

Clinically-Grounded Hierarchical Classification for Consistent Chest X-ray Interpretation

Co-MoCo: Collaborative Learning Enabled Motion Compensation for Weight-Bearing CBCT

Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings

Conditional Diffusion Prompting for Ambiguous Medical Image Segmentation

Conformal 3D Lesion Segmentation with Balanced Risk Control

Counterfactual Anatomy-Guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medical VLMs

Counterfactual Stress-Testing for Fixing Lung Cancer Segmentation Models

CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification

Cross-Surface Representation Learning for Accurate Gingiva Prediction in CBCT

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

CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

DCLDs-RAG: Evidence-Grounded Multimodal Retrieval-Augmented Generation for Diffuse Cystic Lung Diseases Diagnosis

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

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

DentMamba: An Anatomy-Aware Global-Local Hybrid Network for Large-Scale Multi-class Dental Disease Detection

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

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-3DRA: Leveraging 2D Foundation Model Semantics for 3D Cerebral Aneurysm Segmentation

DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation

Disease-Consistent Visual-Text Alignment and Fusion for Reliable Radiology Report Generation

Displacement Preserving Relational Distillation for Robust Medical Segmentation

Distilling Photon-Counting CT Into Routine Chest CT Through Clinically Validated Degradation Modeling

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

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

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation

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 Sub-domain Modeling for Robust Medical Image Segmentation

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

ECLIPSE: EHR-Constrained Localized Inference for Pan-Tumor Segmentation

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

E-MRL: Cross-View Aligned Evidence-Driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis

End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery

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

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

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

Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields

FDRAS: Failure Diagnosis and Repair for Airway Segmentation

Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters

Fine-Grained Cerebrovascular Parsing in DSA via Structurally-Grounded Semantic Disentanglement

FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration

Frequency-Aware Post-Training Quantization for Medical Image Denoising

From Baseline to Future CT: Large-Scale Diffusion Pretraining for Single-Scan IPF Progression Prediction

From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision-Language Pretraining

From Sparsity to Geometry: Spatial Modeling for 3D Reconstruction from Biplanar Bone X-rays

FSE-Reg: Enhancing 3D Deformable Registration with Frozen Large-Scale Pre-trained Segmentation Encoders

Geometry-Aware Point-to-Voxel Fusion via Gaussian Splatting for Intracranial Aneurysm Segmentation

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

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

GU-SAM2: A Semi-supervised Medical Image Segmentation Framework via Gated Feature Fusion of MIM-Pretrained U-Net and SAM 2

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification

Harmless Copyright Protection for CT Dataset

HeartVolMesh: Cardiac Volumetric Mesh Reconstruction via Covariance-Guided Graph Deformation

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 Memory for Radiology Report Generation with Rich Context

HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation

High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement

HiProS: A Hierarchical Prompt Selection for Stage-wise Vision–Language Alignment in Medical Image Segmentation

Human-AI Collaboration for 2D/3D Registration Quality Assurance

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Hyperbolic Vision-Language Interaction for Semi-supervised Medical Image Segmentation

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

ICH-DIANet: A Modality-Disentangled and Attention-Expert Interaction Network for Brain Injury Assessment in Intracerebral Hemorrhage

Improved Vascular Segmentation via Binary Flow Matching with Straight-Path Regularization

Interactive MWA Planning via Probabilistic Inverse Inference

Interpretable Medical Image Diagnosis via VLM-based Concept Alignment and Graph Reasoning

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

InvDetect: Unsupervised Medical Anomaly Detection in the Noise Latent Space of DDIM

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift

Just 32 Tokens: Medical Referring Image Segmentation via Next-Token Mask Prediction

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

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

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

Landmark-Free Assessment of Lower-Limb Alignment with Implicit Neural Shape Functions from Knee Radiographs

Latent-to-Latent Flow for Volumetric Stochastic Segmentation

Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis

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 Hierarchical Anatomy-Grounded Representation for Cross-Modal Registration

Learning Modality-Invariant Structure and Distribution Alignment for Multimodal Medical Image Registration

Learning Quantitative Calibration of Computed Tomography for Bone Mineral Density Estimation Using Multi-Center Data

Learning Role-Conditioned Alignment for Medical Image Referring Segmentation

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 Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

Learning What Can Move: Patient-Specific Motion Subspaces from a Single Scan

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

Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis

LinGuinE: Longitudinal Guidance Estimation for Volumetric Tumour Segmentation

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

Longitudinal Multi-view Modeling for Breast Cancer Risk Prediction

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 Velocity Fields as a Structural Prior for Unsupervised 4D Medical Image Interpolation

M3D-QAdapter: 3D Medical VQA with Lesion-Level Finding-Segmentation Alignment and Query-Driven Adaptive Token Reduction

MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

MamaDino: Mammography-Aware Multi-view Attentional DINO for 3-Year Breast Cancer Risk Prediction

MammoFlow: Multiview Mammogram Synthesis with Anatomically Consistent Flow Matching

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

Mask-Guided Attention Regulation for Anatomically Consistent Counterfactual CXR Synthesis

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

Measuring What VLMs Don’t Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

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

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

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

MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining

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

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

MedXEdit-GRPO: Reasoning-Aware Online RL for Counterfactual Medical Image Generation

Merlin Plus: A Large-Scale, Multi-cancer, Image-Mask-Report Dataset

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

Mitigating Grade Boundary Conflicts for Disease Severity Grading with Ambiguous Labels

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

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

MRSeg3D: A Perturbation-Resilient Model for 3D Medical Reasoning Segmentation

MSHF-Net: Multimodal Breast Cancer Molecular Subtype Prediction via Segmentation-Guided Hierarchical Fusion Network

Multi-agent Test-Time Adaptation for Robust Medical Image-to-Image Translation

Multimodal Large Language Model-Driven Self-Verification Reasoning for Interpretable Diagnosis of Diffuse Cystic Lung Diseases

Multi-regional CT Radiomics Fusion to Quantify Pathology-Derived Pollutant Burden in Lung Cancer

Multi-stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections

Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation

MVDA-Net: Multi-View Dual-Alignment Network for 3D Carotid Artery Segmentation

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

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

Non-linear INR-Based Motion Modeling for 4D Radiotherapy

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

On the Behavior of Calibration Error Under Rater Disagreement

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

One-Shot Data Selection for Medical Image Classification via Graph Coverage

Ontology-Grounded Structured Prediction for Dental CBCT Reporting

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

OPS: One-Shot Point Prompted Semantics-Aware Learning for Medical Image Registration

Optimal Steps for Fast Diffeomorphic Shape Registration

OrthoFlow: Decoupled Landmark Prediction and Image Synthesis for Orthodontic Treatment Outcome Visualization

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

OTFusion: Optimal Transport-Driven 3D Multi-modal Medical Image Fusion for Enhanced Cross-Modality Representation

PAVL: Enhancing Feature Prototype Alignment with Vision–Language Model for Semi-supervised Medical Image Segmentation

Perfusion Aware Infarct Core and Penumbra Segmentation on NCCT with Region Constraints

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

Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction

PICA: Physics-Guided Implicit Neural Fields with Boundary Conditioning for Intracranial Aneurysm Hemodynamics

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

Planning the Perfect Burn: Multi-objective PSO for Multi-needle Thermal Ablation

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

PriLoRA: Prior-Conditioned Low-Rank Adapters for Medical Vision Models

Prior-Guided Hierarchical Vector Quantized-VAE for Digital Subtraction Angiography Generation

Probabilistic Multi-rater Segmentation via Style-Aware Boundary Conditioning

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

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

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression

Prototype-based Physiological Transfer Enables NCCT-only Hyperacute Stroke Tissue-Window Segmentation Under Missing Perfusion

Proxy-CAC: Learning Coronary Calcium Segmentation from Volume-Level Scores

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

Quantification of 3D Musculoskeletal CT Image-Based Biomarkers in the Lumbar Spine: Application in Metastatic Prostate Cancer

RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review

RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation

RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models

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

RDE-Seg: Role-Disentangled Experts with Residual Routing and Anatomy Constraints for DSA Guidewire Segmentation

Reducing Expert Annotation Effort for CTA Vessel Delineation with Synthetic Pretraining

Reference-Guided Gradient Balancing Loss for Long-Tailed Multi-label Medical Image Classification

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

ReScan-IA: A Spatially-Adaptive Diffusion Framework for Controllable 3D Intracranial Aneurysm Inpainting

Rethinking RAG: Mitigating Text-Driven Hallucinations via Feature-Level Retrieval Integration in Medical LVLMs

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

Robust Tooth Segmentation Under Orthodontic CBCT: A Metal Artifact-Aware Approach

RT-Super: Learning Tumor Segmentation from Longitudinal Images and Reports

SAFE-Diff: Structurally Anchored Diffusion for Anatomically Faithful CT Image Super-Resolution

SAM2 as a Key Bridge Between 2D Slices and 3D Volumes for Sparsely-supervised Medical Image Segmentation

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

SCKAN: Structural Consensus-Based KAN Prototype Learning for Semi-supervised Pancreas Segmentation

ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy

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

SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation

Self-auditing Parameter-Efficient Fine-Tuning for Few-Shot 3D Medical Image Segmentation

Semantic Feature Modulation for Mammographic Lesion Classification

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

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation

SLICE-MIL: Counterfactual Semantic Anchoring of Disentangled Evidence for Child-Pugh Grading

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models

Spatially-Aware Graph Geometric Representation for Lung Nodules Detection

Spatiotemporal Modeling of Tumor Dynamics via Optimal Transport for Enhanced Longitudinal Analysis

Spherical Clinical Embedding with Adaptive Multi-expert Fusion for AAA Rupture Classification

SSPT: Spiking Serialized Point Transformer for Couinaud Segmentation in 3D Medical Data

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

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

SuRe-Flow: Surface-to-CT Synthesis via Retrieval-Augmented Rectified Flow for CT-Free Superficial Radiotherapy

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

SymmDiff: Symmetry-Guided Diffusion for Fracture Localization in Pelvic Radiographs

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence

SynMamba: Synergizing Visual Mamba with Synthesized Clinical Semantics for Boundary-Aware Segmentation

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

TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction

Temporal Phase-Difference Guided Spatiotemporal Learning for DSA Vessel Segmentation

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-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

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

The Learnability Gap in Medical Latent Diffusion

Through-Plane Attention for Anisotropic CT Super-Resolution Improves Quantitative Lung Cancer Analysis

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories

ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2

TotalFM: An Organ-Separated 3D-CT Foundation Model Leveraging Large-Scale Routine Clinical Radiology Data

Toward Synergistic Learning for Liver Vessel and Couinaud Segmentations

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

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

Uncertainty-Aware Spatio-Semantic Contextual Prompts for Multimodal Medical Segmentation

Uncertainty-Guided Conservative Propagation for Coronary Artery Segmentation

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis

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

Unsupervised Domain Adaptation for Pelvic Landmark Localization in CT and MR Using Landmark-Conditioned Synthesis

U-ReLSE: Voxel-Wise Evidential Uncertainty-Regularized MIL for Vertebral Metastasis Detection with Hybrid Supervision

VarDeFlow: Variational Deformation Learning with Flow Matching for Multi-organ Cross-Modality Medical Image Synthesis

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

VesselSim: learning 3D blood vessel segmentation without expert annotations

VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering

ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model

VM-NeXT UNet: Synergizing ConvNeXT and Visual Mamba for Robust Medical Image Segmentation

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers

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

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

Wavelet-Enhanced Coarse-to-Fine Radiology Report Generation with Large Language Models

Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling

When Does Uncertainty Become Meaningful in Medical Vision-Language Models? Alignment Enables Disease-wise Uncertainty and Risk-Aware Prediction

WHO-CXRBench: A CXR Benchmark for Diagnostic Rule Retrieval in CLIP-Style MedVLMs

X2Bone: Reconstructing 3D Bone Structures from 2D Biplanar X-Rays via Cross-RWKV

Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians

Modalities -> Diffusion MRI

A Heterogeneous Prognosis Prediction Framework with Global Brain Connectivity and Local Image Features

ACMap: Across-scales Connectivity Mapping of Primate Brain

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

APEX-SAM: Anatomy-Aware Prompting with Expert Retrieval for Training-Free Medical Image Segmentation

BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use

Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks

Data-Driven Optimization of Prostate Sectorization from MRI

DDecomp: Structured Uncertainty Decomposition Using Masked Autoencoders for Anomaly Detection in Diffusion MRI

DTI-Guided Volumetric Spherical Harmonics Regression for Single-to-Multi-shell dMRI Synthesis

DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis

Explainability in Multimodal Deep Transformation Models for Stroke Outcome Prediction

Feature Space Guidance for Breast Cancer Classification in DCE-MRI

HAM-BGT: Harmonic-Aware Multimodal Brain Graph Transformer for Brain Disease Diagnosis

HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

Interpretable Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

Joint Multi-modal Learning for Susceptibility-Induced Distortion Correction in Diffusion MRI

Learning from Good Neighbors: Slice-wise Quality-aware CT-to-Diffusion MRI Synthesis

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI

Text-Deficient Multimodal Stroke Segmentation with Lesion-Grounded Self-Retrieval-Augmented Generation

Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

Modalities -> Digital Pathology/Histopathology

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Addressing Tissue and Appearance Heterogeneity in Text-Guided Few-Shot WSI Classification

AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

Aligning Prototypes and Updating Null Spaces for Continual WSI Learning

Attribute-Aware Federated Learning with Pseudo-Bag Augmentation for Multi-Center WSI Classification

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

BioFlow: A Biologically Valid Support-Preserving Flow for Histology-Conditioned Spatial Transcriptomics Prediction

C²RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

Case-Specific Priors-Guided Multimodal Fusion for Prognosis Prediction in Head and Neck Cancer

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

COAST: Context-Aware Differential Learning for Gene Expression Prediction in Spatial Transcriptomics

Confusion-Aware Evidence Calibration for Few-Shot Whole Slide Image Classification

ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-domain Virtual IHC Staining

Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics

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

Cross-Modal Prediction of DNA Methylation from Histology Images

Deep-IMMA: an Interpretable Immune-Aware Multimodal Deep Representation Learning for Cancer Prognosis and Recurrence Prediction

DeNuC: Decoupling Nuclei Detection and Classification in Histopathology

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain

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

Di-PACT: Discrete Prognosis via Aligned Co-Topology of Pathways and Tumor Microenvironment

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

DualGGR-MoME: A Mixture of Multimodal Experts with Dual-Branch Gating and Global-Guided Routing for Cancer Survival Prediction

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

Enhancing Pathological VLMs with Cross-scale Reasoning

Evidential Fusion Network for Multimodal Survival Prediction Under Missing Modalities

FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

Footprint-Guided Exemplar-Free Continual Histopathology Report Generation

From Patches to Patients: A Study of the Tile-to-Slide Performance Transferability in Digital Pathology

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

GFR-MIL: Glance–Focus–Reflect Based Multiple Instance Learning for Multi-Scale Whole Slide Image Analysis

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

H2M-Net: Hierarchical Hyperbolic Memory Network for Pathological Report Generation

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer

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

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation

Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics

IgG4-QPC: Quantitative Pathology-Consistent Virtual Staining from H&E to IgG4

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

ImPartial: Multi-channel Whole-Cell Segmentation Using Partial Annotations

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization

Joint Biomarker and Survival Prediction via Concept-Conditioned Multimodal Slot Factorization

Joint Decomposition and Learned Deformation for Part-to-Whole MRI to Histology Registration

Knowledge-Enhanced Representation Learning with Retrieval-Augmented Multimodal Fusion for Survival Prediction

LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models

Latent Lessons from Histopathology: A Registration-Free Cross-Modal Supervision Framework for mpMRI-Based ISUP Grading

Learnable Gaussian Prototype Guided Ordinal Learning for Fine-Grained WSI Grading

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation

Learning Where to Look: Pathologist-Inspired Multi-field-of-View Evidence Retrieval for Cell Type Classification in H&E

LiSAD: A Label-Efficient Implicit Model with Spatially Adaptive Directional Total Variation for Spatial Transcriptomics

LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

Making HE Histopathological Images More Colorful by Conditional Flow Matching

Marginal Constrained Morphological Prototype Learning for Patch Search in Whole Slide Images

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

MASurv: Risk-Conditional Martingale Adversarial Training for Calibrated Multi-slide Survival Prediction in Whole-Slide Histopathology Images

MEC: A Multi-expert Consultation Framework for Synergizing Frozen Foundation Models in Whole Slide Image Analysis

Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

MERIT: Multi-scale Mamba with Enhanced Information Retention for Treatment Response Prediction from Whole Slide Images

MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models

MORI-Seg: Learning Morphological Geometry for Instance Segmentation Without Instance Annotations

Multimodal-Conditioned Flow Matching for Pathology Nuclei Data Augmentation

Multi-regional CT Radiomics Fusion to Quantify Pathology-Derived Pollutant Burden in Lung Cancer

Noise-Aware Importance–Uncertainty Disentangled Multimodal Learning for Robust Cancer Survival Prediction

One-Shot Data Selection for Medical Image Classification via Graph Coverage

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

PALETTE: Pathology-Aware Latent Embedding for Targeted Tissue Expression

Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

Pathologist Attention–Aligned Report Generation for Prostate Histopathology

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding

PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

Positive Semi-definite Group-Aware Instance Disentangled Learning for WSI Representation

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation

Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation

Prototype Instance-Semantic Disentanglement with Low-Rank Regularized Subspace Clustering for WSIs Explainable Recognition

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

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

RareGCD: Toward Rare Disease Discovery via Generalized Category Discovery

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

Retrieval-Based Mixture-of-Experts for Patient-Specific Cancer Survival Prediction with Incomplete Multimodal Data

Reward-Guided Distillation: A Progressive Pseudo-Bag Purification Framework for WSI Multiple Instance Learning

SAM-Cluster and SAM-LP: Structure-Aware Evaluation Metrics for Selecting WSI Feature Extractors Without MIL Training

Seamless Whole Slide Label-Free Virtual Staining

Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation

SlideGuard: WSI Artifact Detection Benchmark

Spectral-Semantic Consensus for Few-Shot Whole Slide Image Classification

Synergistic Information Disentanglement for Omni-Modal Slide Representation Learning in Computational Pathology

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

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

TinyH2GNet: Exploring Lightweight Models for Gene Expression Prediction from H&E Images

TRIAGE-MIL: Multi-axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images

Two-Stage Cross-Domain Cervical Abnormality Screening with Cytopathological Image Synthesis and Knowledge Distillation

UT-MIL: Uncertainty-Rectified and TME-Decoupling Dual-Stream Aggregation for Robust WSI Survival Prediction

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

VRUGA: Visual and Reasoning Uncertainty Guided Active Learning for Medical MLLM Post-training

Modalities -> EEG / MEG / ECG / Physiological Signals

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

Bridging EEG to fMRI: Semi-Supervised Functional Connectivity Translation via Latent Alignment

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

CMD-AD: Cross-Modality Distillation from fMRI-EEG for Single-Modality Alzheimer’s Disease Diagnosis

CoSim: Unleashing Eye Movements for EEG-Free Emotion Recognition via Conditional Prompting and Similarity-Guided Augmentation

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

Cut, Stitch, Adapt: Data-Efficient and Low-Calibration Speech BCIs

Demographic-Conditioned State Space Models for ECG-Based Age Estimation

DFuse: A Dual-Branch Adaptive Fusion Network for Multi-Channel MCG Denoising

Disentangling Uterine and Bladder Activity in Paired EHG-MRI Data Using Anatomy-Guided Multicluster Beamforming

Dynamic Spatial-Temporal Mapping for EEG-to-fMRI Synthesis via Gaussian-Guided Heterogeneous Graph Neural Network

ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-view Echos

EEGRFusion: Uncertainty-Aware EEG-to-Image Evidence for Adjunct Bedside Assessment of CMD in Disorders of Consciousness

EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach

Evidential Neural Networks for Uncertainty-Aware Alzheimer’s Disease Screening from Resting-State EEG

Frequency-Aware Neural Architecture Search with Bidirectional Mamba for EEG Emotion Recognition

Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction

GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment

Harmonic Kernel Mixing for Interpretable Oculomotor Event Segmentation in Video-Nystagmography

HbO2 and HbR Spatiotemporal Heatmap Feature Fusion Network for ADHD Diagnosis in Children

Inversion from ECG Foundation Model

Joint-Level Motor Imagery Decoding in fNIRS via a Unified Pairwise Machine Learning Framework

LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising

MARBLE: Lightweight EEG-to-fMRI Translation via Mamba-Attention and ROI-Conditioned Decoding

MDPNet: A Multi-Scale Deformable Prototype Network for Accurate and Interpretable Medical Image Classification

MedTS-TTT: Test-Time Training for Medical Time Series Classification

MSS-Net: Learning Hierarchical Multi-scale and Multimodal Representations for Complex Cardiac Disease Classification

Multi-scale Dual-domain Fusion-Based Spatio-Temporal Graph Learning for fNIRS Signal Classification

NetCorr: A Resection-Induced Network Perturbation Framework for Predicting Seizure Freedom in Drug-Resistant Epilepsy

NeuroFlow: Manifold-Aware Topological Flow Matching for EEG Decoding

NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS–ANS Dynamics

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

Physics-Informed Surrogate Model Using Graph Neural Network for Cardiac Electrophysiology

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

Real-Time Prediction of Impending Severe Fetal Distress Using Deep Learning on Fetal Heart Rate Monitoring

Riemannian Batch Normalization on Correlation Manifolds for EEG Decoding

SA-CFM: Structure-Aware Continuous Flow Matching for Normative Modeling of EEG Microstate

S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring

ShapeEFM: A Shape-Based Pretrained Foundation Model on ECG Morphology Comprehension

SpikeEEGformer: A Spike-Driven Transformer for Generalized EEG Recognition

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

Structural-Semantic Aware Information Reduction for Asymmetric EEG-Visual Alignment

Subject- and Task-Aware EEG Foundation Model

Test-Time Adaptation for ECG Classification via SQI-Gated Self-training and Beat-Rhythm Consistency

VEGA: Vision Enhanced Generative Augmentation for Cross-Subject Electrocardiogram Generalization

Modalities -> Electronic Health Records

ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

Deep-IMMA: an Interpretable Immune-Aware Multimodal Deep Representation Learning for Cancer Prognosis and Recurrence Prediction

DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival

EmERGE: A Multimodal LLM-Based Evidence-Mediated ECG Report Generation and Evaluation Approach

Fibers of Asymmetric Similarity: A Framework for Clinical and Imaging Data

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

Human-In-The-Loop Multi-agent Ventilator Decision Support with Contextual Bandit Preference Learning

ICH-DIANet: A Modality-Disentangled and Attention-Expert Interaction Network for Brain Injury Assessment in Intracerebral Hemorrhage

KANEx: Translating Kolmogorov-Arnold Networks’ Interpretability to Medical Explainability

LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-Ray

LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making

MedEnv: Scaling Multimodal Virtual Medical Environments for Long-Horizon Diagnosis

MedExpMem: Adapting Experience Memory for Differential Diagnosis

Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

Quantify, Collect, and Correct: Evidence-Driven Multi-agent Framework for Critical Evidence Refinement in Emergency Rooms

Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

Text as a Compass: Semantic-Navigated 3D Bone Collapse Prediction via Orthogonal Micro-volume Primitives

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories

Towards Class-Aware Semantic Decoupling in Multi-modal Disease Diagnosis with Missing Modalities

When, Where, and How: Adaptive Binning for Tabular Self-supervised Learning

Modalities -> Endoscopy

AdaBIMBA: Adaptive Token Compression for Long Endoscopy Video Understanding

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

BRAIN: Bi-directional Motion Reasoning with Dynamic Memory Pruning for Surgical Video Segmentation

Breaking Teacher’s Mean Regression Bias: Boundary-Aware Contrastive Distillation for Endoscopic Super-Resolution

B-spline Activations as Intrinsic Uncertainty Estimators in Medical Image Segmentation

CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation

CoGE: Sim-to-Real Online Geometric Estimation for Monocular Colonoscopy

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

Computer-Assisted Intervention in Capsule Endoscopy: A Real-Time Edge-AI Auditing System

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

DepthPilot: From Controllability to Reliability in Colonoscopy Video Generation

Diagnose Like a Doctor: Misdiagnosis-Aware Structured Memory for Continual Learning of Medical Vision-Language Models

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Do Not Break the Vessels: Structure-Preserving Mean Flow for Vascular Image Translation

Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

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

ESRT: Endoscopic Stereo Reconstruction Transformer

From Perception to Anticipation: Forecasting Vessel–Instrument Interactions in Endoscopic Surgery under Unreliable Observations

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation

Hi-FL: Hierarchical Federated Learning Adaptation of Vision-Language Models for Multi-Institutional Surgical Phase Recognition

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Injecting a Low-Rank Background Prior: A Plugin for Medical Image Segmentation

KAN-AINet: Kolmogorov-Arnold Network with Adaptive Illumination Modulation for Generalizable Polyp Segmentation

Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition

Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning

Learning Diverse and Realistic Polyp Data via Style-Fused Diffusion Models

Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations

Leuko, I Am Your Prototype: A Prototypical Detection Framework for Fine-Grained Laryngeal Lesion Stratification

LoHi-Net: A Low-to-High Hierarchical Wavelet Network for Laparoscopic Surgical Smoke Removal

LumiState: Retinex-inspired Illumination Decoupling in 4D Gaussian Splatting for Endoscopic Reconstruction

MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

MMIC-EndoDepth: Self-Supervised Endoscopic Depth Estimation with Multi-Mechanism Illumination Correction

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

Multi-Annotation Adaption: A Label-Informed Dynamic Framework for Medical Segmentation and Localization

Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy

Multi-Stage Dilated Convolution-Mamba Network for Surgical Action Triplet Recognition

Occlusion-aware Disparity Estimation via Depth Prior Embedded Cost Volume for Stereo Endoscopic Images

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

Ordinal Priors for Colonoscopy Temporal Segmentation

PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis

PhaseMamba: Two-Stage Learning from Short Clips to Full Procedures for Online Surgical Phase Recognition

PhysioSplat: Physics-Informed Dynamic Gaussian Splatting for Surgical Scene Reconstruction

PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

Probabilistic Multi-rater Segmentation via Style-Aware Boundary Conditioning

RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception

ReMeDI: Refined Memory for Disambiguation of Identities with SAM3 in Surgical Segmentation

Retrieval-Guided Semi-supervised Federated Learning for Medical Image Segmentation

Robust Colonoscopy Video Polyp Segmentation via Quality-Aware Memory and Prototype Alignment

RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation

S2DLight: Single Step Diffusion Network via Degradation-Aware Adaptation for Surgical Endoscopic Image Low-Light Enhancement

S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation

SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

SD-SAM: Synergizing SAM and DINOv3 for Parameter-Efficient Polyp Segmentation and a Challenging Benchmark Dataset

Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception

SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation

Selective Confidence Fusion for Specular Highlight Detection in Medical Images

SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment

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

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

TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation

Test-Time Adaptation for Rare Surgical Phase Recognition: Bridging the Coverage-Gap Paradox

Text-Guided Multi-frequency Latent Diffusion for Medical Image Segmentation

Towards Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

Trustworthy Endoscopic Super-Resolution

Uncertainty-Aware Hypergraph Consistency Learning for Semi-supervised Medical Image Segmentation

Understanding Model Behavior in Monocular Polyp Sizing

Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D–2D Registration for Liver Laparoscopy

Vision-Based Force Estimation Using Brain Surface Deformation Models

Modalities -> Functional MRI

A Heterogeneous Prognosis Prediction Framework with Global Brain Connectivity and Local Image Features

A Multi-view, Hybrid, Hypergraph Learning Framework with Causal Perturbation for Early Alzheimer’s Disease Diagnosis

Age Conditional Longitudinal Forecasting of Adolescent Functional Connectivity via Brownian Bridge Diffusion Models

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation

Bayesian Topological Analysis of Brain Networks

BrainACU: Asynchronous Coordination Unit Modeling for Dynamic Brain Network Analysis

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

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

CMD-AD: Cross-Modality Distillation from fMRI-EEG for Single-Modality Alzheimer’s Disease Diagnosis

Community-Aware Dynamic Graph Learning for Brain Disorder Diagnosis

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

Data-Driven Optimization of Prostate Sectorization from MRI

DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction

Dynamic Spatial-Temporal Mapping for EEG-to-fMRI Synthesis via Gaussian-Guided Heterogeneous Graph Neural Network

DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis

Equity-Aware Self-supervised Multi-domain Connectome Representation Learning for Major Depressive Disorder Diagnosis

Geometry-Aware Manifold Trajectory Modeling for Task fMRI Activation Mapping

H2GT: Hub-enhanced Hierarchical Graph Transformer for Explainable Diagnosis of ASD with Functional Brain Networks

HAM-BGT: Harmonic-Aware Multimodal Brain Graph Transformer for Brain Disease Diagnosis

Image-mediated fMRI-to-caption generation with visual pathway tokens and hyperbolic alignment

Inflated Performance in fMRI-Based ASD Diagnosis: A Reproducibility Study of Data Leakage in Feature Selection Pipelines

Interpretable Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

Latent Pathology–Age Decoupling in Functional Connectivity Graphs for Multi-task Schizophrenia Assessment

Learning Geometry-Aware Bundles with Spectral Heat Kernel Diffusion for fMRI-based Brain Disease Diagnosis

Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis

MARBLE: Lightweight EEG-to-fMRI Translation via Mamba-Attention and ROI-Conditioned Decoding

MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry

Multi-Expert Representation Learning with Dynamic Routing for Brain Captioning

Multilayer Modularity-Aware Graph Autoencoder for Detecting Subpopulation Community Structure in Dynamic Brain Networks

Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning

NeuroAlign: A Unified Plug-and-Play Enhancer for Visual and Linguistic Brain Decoding

PINet: A Multimodal Network for Pontine Infarction Segmentation and Early Neurological Deterioration Prediction

Progressive Self-supervised Learning with Individualized Community Assignment for Brain Network Analysis

Representation Learning with Distance-Residualized Functional Connectivity for Cortical Parcellation from rs-fMRI

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans

Spectral-Temporal State Space Modeling on Functional Brain Networks

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

The Neuro-Developing Engine: a Surrogate Longitudinal Model for Infant Brain Dynamics Via Causal Distillation

Uncertainty-Aware Hypergraph Consistency Learning for Semi-supervised Medical Image Segmentation

Uncertainty-Aware Spatiotemporal Graph Learning for Individualized Cortical Parcellation and Somato-Cognitive Integration in the Developing Brain

UniFCHarm: Unified Prompt-Guided Harmonization of fMRI Functional Connectivity Across Scanners and Atlases

URLCF: Universal Representation Learning for Cross-Domain Few-Shot Autism Spectrum Disorder Detection

Modalities -> MRI

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 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

ACA: Post-hoc Adaptive Logit Alignment for 3D Medical Image Segmentation

AC-MIL: Weakly-Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement

Active Source-free Domain Adaptation in Open-set Medical Image Segmentation via Decomposed Uncertainty and Prototype Discrepancy

ADAPT: Adaptive Profiling Transformers for Efficient Alzheimer’s Disease Diagnosis

AEGIS: Anatomy-Embedded Group-Invariant Segmentation for Fair Medical Foundation Models

AHPR-Net: Anatomy-aware Hierarchical Prompting Refinement Network for Spine Image Segmentation

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors

Anatomy- and Site-Guided 3D Patch Diffusion for Robust MRI Harmonization

Anatomy-Aware Reverse Symmetric Self-paced Learning for Prostate Cancer Detection

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

Arrhythmia-Robust Cine-MRI via Latent Motion Artifact Characterization

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

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

AutoLand: A Data-Efficient Automated Agentic Workflow for Universal Medical Landmark Detection

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI

Automatic LV Localization and Short-Axis Plane Estimation from Arbitrary CMR Slice

BCER Agent: Reliable Long-Horizon MRI Workflow Execution via Compilation, Artifact Binding, and Bounded Local Recovery

Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation

BiC-ODE: Bidirectionally Coupled Neural ODEs for Rapid Laminar Surface Reconstruction of the Human Cortex from 5T MRI

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision–Language Prognostic Modeling in Hepatocellular Carcinoma

BioGuide: Biomedically-Guided Segmentation for Medical Tasks

BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability

Brain-Specialized Self-supervised Learning: Neuroanatomy-Aware Spatial Priors for 3D Brain MRI

Bridging EEG to fMRI: Semi-Supervised Functional Connectivity Translation via Latent Alignment

Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs

CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

Cardiac Motion Transfer with Adaptive Physics Constraint

CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis

CARE: Confidence-Aware Reasoning for Reliable Medical VQA

CARformer: Class-Aware Representation Learning for Small-Cohort, Imbalanced Psychiatric Disorder Classification in Brain MRI

CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI

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

Coarse-to-Fine Meta-Reweighting with Dynamic Retrieval for Adult-to-Pediatric Domain Adaptation in Tumor Segmentation

Community-Aware Dynamic Graph Learning for Brain Disorder Diagnosis

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

Contrast-Invariant Reference-Based Slice Thickness Estimation in MRI via Spectral Matching

CortexAdapt3D: Parameter-Efficient Fine-Tuning of General 3D Foundation Models for Cortical Surface Analysis

Counterfactual Contrastive Analysis

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

CPS4: Class Prompt Driven Semi-supervised Spine Segmentation with Class-Specific Consistency Constraint

CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images

Cubic Structure-Aware Neural Radiance Fields for Zero-Shot Super-Resolution of Susceptibility-Weighted Imaging

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

Data-Driven Optimization of Prostate Sectorization from MRI

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

Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation

Deep Probabilistic Cerebrovascular Atlas

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

Diagnose Like a Doctor: Misdiagnosis-Aware Structured Memory for Continual Learning of Medical Vision-Language Models

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

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation

Discovering Heterogeneous Neurodegenerative Disease Patterns From MRI Data for Improved Prediction

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

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

DIVER-Surv: Diffusion and Virtual-Node Graph Fusion for Cross-Cohort Glioma Survival

DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy

DSCE-Net: Dual-Scale Conditioned Evolving Network with Balanced Optimization for All-in-One Medical Image Restoration

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

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

Dynamic Collaborative Continual Test-Time Adaptation for 3D Vessel Segmentation

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

ECHO: Estimated Composite Hybrid Observation for Zero-Shot Self-Supervised MRI Reconstruction

Efficient Conformal Volumetry for Template-Based Segmentation

ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs

End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

Estimated Age-Guided Cerebral Microbleed Segmentation

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

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

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

Feature Space Guidance for Breast Cancer Classification in DCE-MRI

Federated Medical Image Segmentation under Modality Heterogeneity via Specialized Adapters

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

FluxCut: Shifting from Global Reconstruction to Local Geometry for Unsupervised Small Lesion Segmentation

Frequency-Aware Prototype Learning in VLM for Intracranial Aneurysm HR-VWI Segmentation

FSE-Reg: Enhancing 3D Deformable Registration with Frozen Large-Scale Pre-trained Segmentation Encoders

G3R: Gaussian-Based Geometry-Guided Reconstruction for Fetal Brain MRI

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling

Geometry-Aware Manifold Trajectory Modeling for Task fMRI Activation Mapping

Geometry-Aware Self-supervised Learning for Whole-Heart 3D+t Representation

GG-AE: Genetically-Guided Autoencoder for Disentangling Structural Networks of Brain Atrophy

Global-Local Structure-Aware Alignment for Automated LGE MRI Report Generation

GU-SAM2: A Semi-supervised Medical Image Segmentation Framework via Gated Feature Fusion of MIM-Pretrained U-Net and SAM 2

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

HemoPIC: A Physics-Informed Cerebral Hemodynamics Digital Twin for Brain Perfusion

Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation

Hierarchical Cautious Optimization for Semi-supervised Medical Image Segmentation

Hierarchical Disentangled Consistency Learning for Semi-supervised Multi-modal Medical Image Segmentation

Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation

Hierarchical Region-Aware Multi-Granularity Mamba for White Matter Lesion Segmentation

Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts

High-Capacity Robust Medical Image Exfiltration via Neural Network Weight Replacement

HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning

HK-Fuse: Hilbert-Interleaved Kimi Delta Attention for Incomplete-Modality Brain Tumor Segmentation

How Good Are Foundation Models in Longitudinal MRI Disease Progression Reasoning?

Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical Segmentation

Hyperbolic Vision-Language Interaction for Semi-supervised Medical Image Segmentation

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-supervised Masked Autoencoders

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

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

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

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

InvDetect: Unsupervised Medical Anomaly Detection in the Noise Latent Space of DDIM

Joint Decomposition and Learned Deformation for Part-to-Whole MRI to Histology Registration

Joint Imaging–ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification

Joint Segmentation and Graph-Based Skeletal Representation Learning with Geometric Priors

KGT-Reg: Knowledge-Guided Multimodal Framework for Medical Image Registration

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

KJD-25K: A 3D Multi-modal Dataset and Benchmark for Knee Joint Diagnosis

KOAL: Knowledge-Driven Prostate Cancer Grading with Ordinal-Aware Learning

LAD: Learnable Anisotropic Deformation for 3D Medical Image Analysis

Large-Scale Distributed GPU-Accelerated Respiratory Motion-Resolved Reconstruction of 3D Non-cartesian mGRE MRI

Latent Lessons from Histopathology: A Registration-Free Cross-Modal Supervision Framework for mpMRI-Based ISUP Grading

Learning Beyond Pixels: Structured Knowledge Topology Consistency for Semi-supervised 2D/3D Medical Image Segmentation

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 to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

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

Localization-Grounded Supervision: Revisiting Vanilla SFT of Large Vision-Language Models for Medical Image Analysis

Longitudinal Reliability of Cross-Sectional Normative Models Under Measurement Error

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation

Low-Rank Velocity Fields as a Structural Prior for Unsupervised 4D Medical Image Interpolation

L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI

Maximizing Domain Generalization in Automated Fetal Brain Biometry

MEASURE: Multi-Task Slice Selection and Regression for Neonatal Brain Biometry

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

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

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

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation

Memory-Guided Random-Direction Feature Disentanglement Model for Multi-phase MRI Translation

MiGAD: Gut Microbiota-informed Genetic Surrogates for Multimodal Alzheimer’s Disease Diagnosis

Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

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

Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction

Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis

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

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

On-Manifold Variational Learning with Heat-Kernel Priors

Open World MRI Reconstruction with Bias-Calibrated Adaptation

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

OTFusion: Optimal Transport-Driven 3D Multi-modal Medical Image Fusion for Enhanced Cross-Modality Representation

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

PC-VLG: Position-Correlated Vision–Language Graph Alignment for Semi-supervised Medical Image Segmentation

PETFlux: Taming Natural Foundation Models for Accurate MRI-to-PET Synthesis

PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation

Physical-Driven Unified Implicit Regularization Network with Scan Parameter Prompts for Accelerated Multi-parametric MR Imaging

Physics-Driven Cold Diffusion with Severity-Aware Sampling and Adaptive Degradation Estimation for MRI Motion Artifact Removal

Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin

Physiology-Guided Cross-View Spatial-Temporal Aligning for Early Prediction of pCR in Breast Cancer from Longitudinal Multimodal MRI

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

Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

PoCoLT: Position-Aware Cross-Modal Learning with LLM-Decoupled Hierarchical Reports for TMD Diagnosis

PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness

Protocol-Manifold Coverage Learning (PMCL): Source-Free Active Adaptation for Multi-Center Nasopharyngeal Carcinoma MRI Segmentation

PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation

Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation

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

Really Need Recursion? Revisiting One-Pass Registration with Multi-Level Multi-Space Contextual Guidance

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

Refining 3D Medical Segmentation with Verbal Instruction

ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views

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

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

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning

Right Answer, Wrong Evidence: Revealing Visual Confabulation in Multi-Image Medical VLMs with the Evidence Attribution Score

S2GAIN: Spatio-Spectral Guided Affinity Imputation Network for Alzheimer’s Disease Diagnosis with Incomplete Modality

SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis

SAGEAgent: A Self-evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction

SAMoCo: A Learning-Initialized and Physics-Refined Framework for Sampling-Agnostic Motion Correction in MRI

SAR-Net: Sample-Agnostic Retrieval Network for Robust Brain Tumor Segmentation with Missing Modalities

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

Segment Anything Model with Symmetric Spectral Uncertainty Gating for Generalizable Medical Image Segmentation

Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding

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

S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation

Shape-Adaptive Guidance Signal for Interactive Cortical Sulcal Labeling

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

SIGMA-VAE: Sketched Isotropic Gaussian Multi-View Autoencoder for Normative Modeling

Single-Subject Multi-view MRI Super-Resolution via Implicit Neural Representations

SkepticalNet: A Safety-Aware Interactive Segmentation Framework for Neuro-Oncology

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation

Slim nnU-Net: Revisiting nnU-Net Self Configuration from an Optimization Angle

Source-Free Domain Adaptation for Medical Image Segmentation via LLM-Agent Collaboration

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Spatiotemporal Modeling of Longitudinal MRI with Causal Graph Reasoning for Breast Cancer pCR Prediction

SPEAR: Error-Guided Sparse Refinement for Scalable Deformable Medical Image Registration

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

SPHARM-Mamba: Rotation-Invariant Multiscale Modeling for Brain Age Prediction

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

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

Structural Congruence Matters: Biological Pretraining for Vascular Graph Extraction

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

Structure-Contrast Disentangled INRs for Accelerated Multi-contrast MRI Reconstruction

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

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

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

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

TeDyS: Temporal Dynamics with Spatial Context for Longitudinal Progression Prediction

Testable Concept Bottlenecks for Pretreatment pCR Prediction in Breast DCE-MRI: Faithfulness and Reliability

Text as Illumination: Spatial Contrastive Retinex Learning for Language-Guided Medical Image Segmentation

Text Guidance and Distance Gating Improve Detection and Segmentation of Focal Cortical Dysplasia

TGH-DB: Template-Guided Heteroscedastic Diffusion Bridge for Brain MRI-to-PET Synthesis

Time Matters: Rethinking Diffusion and Flow Models in One-Step Medical Image Translation

TOFlow: Learning-Based Isotropic Reconstruction and Flow Mapping from Multi-orientation TOF-MRA

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation

Towards Direction-Equilibrated Segmentation in 3D Medical Images

Towards Versatile and Safe Multi-electrode Path Planning for SEEG Implantation

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Tri-KA: Tri-level knowledge anchoring test-time adaptation for source-free cross-site MRI rectal cancer segmentation

Tumor-Aware Direct Preference Optimization for Longitudinal Post-operative MRI Generation

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical 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

Uncovering Interpretable Point-Wise Image Correspondences from Deep Segmentation Features

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

Unified Multimodal Model for Brain MRI Imputation and Understanding

UniField: A Unified Field-Aware MRI Enhancement Framework

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

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

VecHeart: Holistic Four-Chamber Cardiac Anatomy Modeling via Hybrid VecSets

VesselSim: learning 3D blood vessel segmentation without expert annotations

VIHD: Visual Intervention-Based Hallucination Detection for Medical Visual Question Answering

VM-NeXT UNet: Synergizing ConvNeXT and Visual Mamba for Robust Medical Image Segmentation

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

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Modalities -> Microscopy

A Counterfactual Framework for Directional Cell–Cell Interaction Analysis in Spatial Transcriptomics

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring

ACMap: Across-scales Connectivity Mapping of Primate Brain

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

BC-MultiSet: A Multi-target Dataset and Benchmark for Clinical Tasks in Breast Cancer

Born Different: A Multi-level Individualized Modeling Framework for Embryo Euploidy Prediction

Bridging Heterogeneous Medical Datasets via Mixture-of-Specialists Adapters for Unified Medical Image Classification

CALHippo: Cell Segmentation for Neuronal Density Inference in the Human Hippocampus

Cancer-Type-Agnostic Pan-Cancer Gene Expression Prediction from Histopathological Images

CerviThink: A Reinforced Visual Reasoning Framework for Cervical Cancer Cell Classification

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

Collaborative Topology and Connectivity Learning for EM Neuron Segmentation

Confidence-Aware Supervision for Robust Multi-task Embryo Grading

Conformal 3D Lesion Segmentation with Balanced Risk Control

ConstTrack: Constellation-Guided Cell Tracking Under Lineage Constraints

ConVL: Interpretable Concept-Guided Vision-Language MIL for Survival Analysis in Whole Slide Images

Counterfactual Contrastive Analysis

Cross-Cancer Expert-Routing Knowledge Transfer in Federated Prognosis Prediction

D2C: Data-Efficient Skin Lesion Classification for Clinical Images by Representation Alignment Using Dermoscopic Resources

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

DLCE-MIL: Depth-aware Local Context Enhanced Multiple Instance Learning for Patient-Level IVCM Fungal Keratitis Classification

DualCaMIL: Dual-Level Causal Multi-instance Learning for Patient-Level Diagnosis in Reflectance Confocal Microscopy

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

Fast 3D Cell Volume Reconstruction from Multi-focus Images by Cross-modality Knowledge Distillation

FreeBridge: Variational Schrödinger Bridges for Cellular Transition Dynamics

ImPartial: Multi-channel Whole-Cell Segmentation Using Partial Annotations

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields

Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning

Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning

Low-Rank Text-Guided Spectral Learning for Semi-supervised MHSI Segmentation

Low-Resource Cross-Modality Nucleus Detection via One-Sided Domain Adaptation

Measuring Prediction Uncertainty in Neural Cellular Automata

Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology

MicroscopyCLIP: A Domain-Specific Vision-Language Model for Optical Microscopy

Multi-frame Restoration for 10 Hz Lissajous Confocal Laser Endomicroscopy

NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis

Non-parametric Prototypes Enable Semantic Graph Learning for Whole-Slide Pathology

One-Shot Data Selection for Medical Image Classification via Graph Coverage

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters

POT-SAM3: Prompt-Only Tuning for One-Shot Electron Microscopy Segmentation

Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification

Prototype-Driven Robust Domain Generalization in Corneal Endothelial Cell Segmentation

R2P-SAM: Root-to-Prompt Hair Instance Segmentation with Geometric Priors under Point Supervision

ReDIVE: A Two-Stage Hybrid Network for Keratitis Diagnosis via Retinex-based Enhancement and Depth-Informed Vertical Embedding

Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation

S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation

Seamless Whole Slide Label-Free Virtual Staining

Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

SHOT-CCR: Biologically Guided Adversarial Training for Test-Time Adaptation in Cellular Morphology

Structural Congruence Matters: Biological Pretraining for Vascular Graph Extraction

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

TinyH2GNet: Exploring Lightweight Models for Gene Expression Prediction from H&E Images

TissueCodePilot: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Virtual 3D H&E Staining from Phase-Contrast Back-Illumination Interference Tomography

Wavelet-Guided Spectral–Spatial Learning for Medical Hyperspectral Image Segmentation

Modalities -> Mobile / Wearable / Point-of-Care Imaging & Sensors

Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead Based on Inherent Principles of ECG

Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation

All-in-One Augmented Reality Guided Head and Neck Tumor Resection

Better Said Than Seen: Exposing and Mitigating Modality Collapse with ICD-11-Grounded Evaluation

Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

D2C: Data-Efficient Skin Lesion Classification for Clinical Images by Representation Alignment Using Dermoscopic Resources

Device-Constrained Real-Time EVD Catheter Segmentation

Digital Twin of the Lung from Wearable Biosignals for Real-Time Respiratory Monitoring

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction

MBFAD: Benchmarking Balance Function Assessment with Environmental Perturbation and Synergistic Tasks

MetaFormer: Efficient Metadata-Guided Transformer for Patient-Aware 12-Lead Electrocardiogram Reconstruction

mSpecFusion-Net: Intelligent Multimodal Smartphone Imaging for Mobile Differential Diagnosis of Psoriasis and Dermatitis and Deep Learning

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

Smartphone-Based ASD Screening via Instance-Adaptive Cross-Modal Fusion and Contrastive Learning

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

Towards the Digital Dental Models: High-Fidelity CBCT-to-IOS Fusion via Anatomy-Aware Geometric Transformers

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

Modalities -> Multimodal Sensor Fusion

A Hierarchical Multi-Task Framework for Dementia Diagnosis via Pathological Feature Learning from Multi-Organ Data

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Asym-MSF: Asymmetric Multi-scale Structural Fusion for Robust BCVA Prediction with Self-supervised Fidelity Constraints

Boundary-Aware Multi-Granularity Learning for Depression Severity Estimation

CalibSleep: Cross-Modal Calibration and Rule-Aware Learning for Automatic Sleep Stage Classification

CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction

Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-identification

Imbalance-Aware Distributional Alignment of Heterogeneous Modalities for HER2 Status Prediction

Interpretable Structure-Function Coupling via State-Space Models for Brain Connectome Analysis

MBFAD: Benchmarking Balance Function Assessment with Environmental Perturbation and Synergistic Tasks

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

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

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

OTFusion: Optimal Transport-Driven 3D Multi-modal Medical Image Fusion for Enhanced Cross-Modality Representation

Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson’s Disease

Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans

PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

RAM-Missing: Retrieval-Augmented Missing-Aware Fusion for Robust Lung Cancer Subtyping

Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation

SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis

Modalities -> Nuclear Imaging / PET / SPECT

Beyond the Batch: Momentum-Updated Virtual Cohorts for 3D PET-CT Prognosis

BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability

CDFP-Net: Cross-Modal Dynamic Fusion with Diffusion Priors for PET-CT Tumor Segmentation

CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution

DosePlug: Observation-Driven Dose Modeling for Robust Low-Dose Reconstruction and Segmentation

DSCE-Net: Dual-Scale Conditioned Evolving Network with Balanced Optimization for All-in-One Medical Image Restoration

Kinetics-Informed Neural Representation for Dual-Tracer Dynamic PET Separation

MAP-Diff: Multi-anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

MetaVFM: Meta-Learned Efficient Adaptation of Vision Foundation Models for Medical Imaging

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

Multi-depth Rubidium PET Graph Neural Network for Major Adverse Cardiac Event Prediction

Mutual Distillation of Dual-Foundation Models for Semi-supervised PET/CT Segmentation

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

PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness

ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning

S2GAIN: Spatio-Spectral Guided Affinity Imputation Network for Alzheimer’s Disease Diagnosis with Incomplete Modality

Self-supervised Longitudinal Neuroimaging Augmentation for Continuous Staging of Alzheimer’s Disease

Semantically Consistent Whole-Body PET/CT Report Generation with Local Lesion-Level Guidance

Stage-Aware Adaptive Reaction–Diffusion Framework for Modeling Alzheimer’s Disease Progression with Tau and Amyloid-β PET Scans

SurvTTA: Order-Aware Test-Time Adaptation for Heterogeneous Domain Shifts in Multi-modal Survival Analysis

TAIR: Text-Guided Adaptive Prompt Refinement for Coarse-to-Fine all-in-One Medical Image Restoration

TGH-DB: Template-Guided Heteroscedastic Diffusion Bridge for Brain MRI-to-PET Synthesis

Time Matters: Rethinking Diffusion and Flow Models in One-Step Medical Image Translation

TOF-GR: Unsupervised PET Reconstruction via Time-of-Flight Gaussian Representation and Kernel-Based Prior Modeling

TracerAD: Training-Free Few-Shot 3D Anomaly Detection for Novel PET Tracers

Tracer-Adaptive Expert Learning for Generalizable PET Lesion Segmentation

Uni-Brain: Anatomy-Informed Diffusion for Multi-Tracer Synthesis and Counterfactual Prognosis from Cross-Sectional Data

Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

Modalities -> Other

A Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning

ACMap: Across-scales Connectivity Mapping of Primate Brain

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

ARCH-Net: Aligned 3D Teeth Reconstruction via Counterfactual-Enhanced Hierarchical Framework

ASTAR: Automated Induction of STAndardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

Asym-MSF: Asymmetric Multi-scale Structural Fusion for Robust BCVA Prediction with Self-supervised Fidelity Constraints

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

BiSA-DiT: A Bidirectional Spatially-Aware Diffusion Transformer for Sparse Tomographic Magnetic Particle Imaging

BREIT: A Framework for Brain Stroke Reconstruction using Multi-frequency 3D EIT

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification

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

CiLA: Knowledge-Preserving Self-supervised Adaptation of CLIP for Fundus Imaging

Clinically Structured Chain-of-Thought Reasoning for Intelligent Guidance in Coronary Artery Disease

ClinLoop: Human-AI Collaborative Agents for Multimodal Breast Cancer Diagnosis Under Incomplete Clinical Data

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis

Cross-Modal Alignment and Distillation for Retinal Imaging Dementia Screening

CrownFusion: 3D Dental Crown Generation Using Geometry Images and Latent Diffusion

Cycle-Verified Gentle Teaching and Confusion Correction for Label-Scarce Cross-Modal Single-Cell Annotation

DentalPSAM: Lifting SAM to Dental Plaque Segmentation with Hybrid 2D-3D Knowledge Fusion

DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology

Det-Y: A Multi-center Dataset and Benchmark for Efficient Detection of Mycobacterium Tuberculosis in Sputum Smears

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

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

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-Stage Course-to-Fine Tooth Alignment Framework with Decoupled Position, Orientation and Shape Features

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs

End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery

FA-Diff: Leveraging Frequency-Aware RWKV Diffusion for OCT to Correlation-Stability Map Translation

Fast Few-Shot Embolization Simulations in Ischemic Stroke Using Equivariant Neural Fields

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

From Geometry to Clinic: A Physics-Aware Evaluation Framework and Benchmark for Automated Dental Crown Design

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

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

HEDS-Net: A Hybrid State-Space Architecture with Axial Bridge and Progressive Weighting for Medical Image Segmentation

Hierarchical Cross-Modal Fusion with Modality-Specific Training Paradigms for High-Precision Non-invasive Aging Assessment

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization

INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields

Interpretable Longitudinal Disease Forecasting with Graph-Based Multimodal Encoding and Population-Aware Language Generation

Inverse Protocol Prediction from Spheroid Microscopy Imaging via Morphology-Aware Structured Learning

IOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral Scans

Keypoint Correspondence Learning for CBCT–IOS Registration

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

Learning Task-Specific Anatomical Priors via Context Distillation for In-Context Medical Image Segmentation

Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-Based Optimization

MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

Medical Knowledge-Guided Fusion of Holistic Hospital Data for Tumor Survival Analysis

MuellerPT: Decomposition Driven Pre-training for Dense Learning in Mueller Polarimetry

Mutually Promoted Medical Image Segmentation and Classification via Prompt-Driven Interaction

Non-intrusive Body Composition Assessment from Full-Body mmWave Scans

Oneclass4ASD: Autism Spectrum Disorder Screening via One-class Classifier

OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

Physics-Based iOCT Sonification for Real-Time Interaction Awareness in Subretinal Injection

PhysOCT: Physics-Guided Retinal Modeling for OCT Image Synthesis

Prompt and Probe: Data-Efficient Adaptation of Black-Box Foundation Models via Unified Active Visual Prompting

PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning

Proto-CAP: Prototype Memory Fusion and Curriculum-Adaptive Loss for Pediatric Myopia Visual Question Answering

Prototype Learning for Visual Field Estimation from Fundus Photography in High Myopia

Quantify, Collect, and Correct: Evidence-Driven Multi-agent Framework for Critical Evidence Refinement in Emergency Rooms

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins

Refining 3D Medical Segmentation with Verbal Instruction

Remixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

Research Design Considerations for Empirical User Studies in MICCAI

Retrieval-Based Mixture-of-Experts for Patient-Specific Cancer Survival Prediction with Incomplete Multimodal Data

REVEAL++: Differentiable Phenotypic Grouping for Vision–Language Retinal Modeling of Alzheimer’s Disease Risk

ROTE: Routing–Timescale Framework for Balanced Expert Allocation in MoE-Based Continual Segmentation

S-GRPO: Structural Group Relative Policy Optimization for Medical Image Segmentation

Situational context embedding and knowledge-based grounding for LLMs in surgical training assistance

SS-IoSR: Self-supervised Intraoral Scans Repair

SSPT: Spiking Serialized Point Transformer for Couinaud Segmentation in 3D Medical Data

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

The Paper Has a GitHub, the GitHub Has a README, the README Has Nothing: Reproducibility Signals for Review Support

Tooth Alignment via Virtual Trajectories with Clinical Constraints

Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

VL-RewardGen: Vision–Language Reward Driven Skin Lesion Image Generation

Volume-Fused Super-Resolution OCT Reveals Cellular-Level Structures in the Outer Segment Across Wider Fields Without Adaptive Optics

Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

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

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers

Modalities -> Photograph / Video

A Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning

Adapting Ordinal-Risk Alignment for Clinically Safe Diabetic Retinopathy Grading

Adaptive Frequency-Guided Parallel Mamba Network for Polyp Segmentation

Addressing Gradient Conflicts in Multimodal Fundus Disease Recognition with Fusion-Guided Learning

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

ARCH-Net: Aligned 3D Teeth Reconstruction via Counterfactual-Enhanced Hierarchical Framework

Artifact-aware Prompt Learning for Domain Generalization

Automated Disentangling Analysis of Skin Colour for Lesion Images

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

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 Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection

BioGait-VLM: A Tri-Modal Vision–Language–Biomechanics Framework for Interpretable Clinical Gait Assessment

Boundary-Aware Multi-Granularity Learning for Depression Severity Estimation

Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification

B-spline Activations as Intrinsic Uncertainty Estimators in Medical Image Segmentation

Cell-Division-Aware Category-Enhanced Contrastive Learning Model for Embryonic Cleavage Stage Classification

CoGaze: Closed-Loop Eye-Face Alignment for Multi-center Mobile Gaze-Based Cognitive Screening in Older Adults

Collaborative Multiscale Representation Learning for AMD Detection

Comparative Analysis of Automated Frame Selection Methods for Glaucoma Detection in Smartphone-Based Low-Quality Fundus Video

ConceptIL: Concept Incremental Learning for Interpretable Medical AI

Conditional Diffusion Prompting for Ambiguous Medical Image Segmentation

ConstTrack: Constellation-Guided Cell Tracking Under Lineage Constraints

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

Cross-domain Controllable Generation Enables Zero-shot Fundus Image Analysis

CSAM-HQ: A Multi-stage Refinement Framework for Surgical Instrument Segmentation based on SAM and Probabilistic Graphical Models

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

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

DermAgent: A Multi-Tool Agentic System for Evidence-Grounded and Traceable Reasoning in Dermatology

DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology

Device-Constrained Real-Time EVD Catheter Segmentation

Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework Without Direct DICOM Access

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

Discriminative Synergistic Temporal Diffusion for Ultrasound Video Thyroid Nodule Segmentation

Dual-Space Cold-Start Active Learning Guided by SAM3 for Medical Image Segmentation

Dual-Stream Diffusion with Structure-Aware Fusion for Joint Synthesis of Coherent Medical Image-Mask Pairs

ECFR: Entropy-Consistency Flow Rectification in Test-Time Adaptation for Medical Foundation Models

Eigen-Directed Random Projection for Medical Image Class Incremental Learning

Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval

Fair Curriculum Learning for Concept Bottleneck Models in Dermatology

FairGE: Gated Expert Routing for Intersectional Fairness in Medical Foundation Models

FedAgree: Label-Free Performance Estimation Under Distribution Shift for Federated Medical Imaging Analysis

FedSwitch: From Standard to Balanced Aggregation via Private Histogram Estimation in Federated Medical Image Classification

Frequency and Geometry Guided Graph Clustering for Weakly Supervised Skin Lesion Segmentation

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

Group-Conditioned Representation Modulation for Fair Skin Disease Diagnosis

HoughSAM: Geometry-Guided Zero-Shot Segmentation of Main Incision in Cataract Surgery Using SAM2 for Skill Assessment

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

KIDA: Kinematic-Intent Dual-path Alignment for Surgical Error Detection

Knowledge Distillation-Driven Quality Transfer with Importance-Guided Supervision for Fundus Image Enhancement

LangOR: 3D Language Field Reconstruction for Operating Room

Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations

Learning to Segment Burns with Limited Labels: A Dual-Path Cascaded Network with Uncertainty-Guided Teacher Diffusion Exposure

LLM-Bootstrapped Targeted Finding Guidance for Factual MLLM-based Medical Report Generation

Mask to Concept: Auto-Promptable SAM3 via Efficient Test-Time Concept Embedding Search for Few-Shot Annotation

MDL-DA Track: Self-supervised Sperm Motility Direction Learning and Density-Adaptive Association for Sperm Tracking

MEC: Medical Evidence Capsules for Retrieval-Augmented Generation in Medical Multimodal Question Answering

MedFuse-Seg: Multi-level Visual and Semantic Context Fusion for Segmentation-Based Medical Reasoning

MLLM-Enhanced Region-Aware Bidirectional Evidence-Based Model for Tongue Diagnosis

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

Multi-Disease Diagnosis in Retinal Images via Patch-Level Reasoning and Selective Aggregation

Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment

NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

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

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

Privacy-Preserving Video-Based Facial Palsy Recognition via Dynamic Facial Action Modeling

PseudoRET: A General Retinal Segmentation Framework with Multi-target Pseudo Embeddings

Quality-Guided Semi-supervised Learning for Medical Image Segmentation

Quantification of Uncertainty with Adversarial Models in Medical Image Segmentation

Question-Driven Decision Tree via Knowledge Distillation for Interpretable Prediction

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization

Response-Aware Multimodal Learning for Post-treatment Visual Acuity Forecasting

Retinopathy of Prematurity Staging via Prototype-Evidential Learning

REVEAL++: Differentiable Phenotypic Grouping for Vision–Language Retinal Modeling of Alzheimer’s Disease Risk

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

Robust Colonoscopy Video Polyp Segmentation via Quality-Aware Memory and Prototype Alignment

SANT-CBM: Structurally-Aware and Noise-Tolerant Semi-supervised Concept Bottleneck Models

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 Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment

Skin2Mind: A Multimodal Framework for Mental Health Risk Screening via Facial Images and Structured Skin Reports

Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory

SpecF2M: A Spectral-Aware Multi-task Network Estimating Axial Length and Refractive Error from Pediatric Fundus Photographs

Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

SurgZSD: Zero-Shot Surgical Action Triplet Detection via Attribute Composition and Clinical Feasibility Inference

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

The Learnability Gap in Medical Latent Diffusion

TopoOR: A Unified Topological Scene Representation for the Operating Room

Toward Markerless Video-Based Tremor Analysis: Objective Quantification of Pathological Tremor in Mouse Preclinical Models

TRACE-PSG: Traceable Sleep Diagnosis Support with Pointer-Grounded Evidence

TrustSyn: Reliable and Divergent Synergy for Mixed-Domain Fundus Segmentation

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

WaveDE: Wavelet-Routed Dual-Expert Network for Fundus Photograph Enhancement

Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling

Weakly-Supervised Temporal Decomposition with Graph Neural Networks for Parkinsonian Turning Assessment

Modalities -> Robotics / Intraoperative Imaging

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

CAG-WM: A Synthetic-Data-Driven Coronary World Model for Autonomous Guidewire Navigation

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model

EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration

Robotic Ultrasound Makes CBCT Alive

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

Surgical Anatomy Recognition with Context Learning using Foundation Representations

SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space

TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Trajectory-Aware Cross-Paradigm Transformers for Efficient System Matrix Calibration in Magnetic Particle Imaging

VigilSAM3: Reinforcement-Optimized Memory Gating for Ultra-Long Surgical Video Segmentation

Wrist Camera Pose-Guided Multi-view Fusion for Occlusion Reconstruction in Robot-Assisted Microsurgical Anastomosis

Modalities -> Spectroscopy

Active Evaluation-Induced Graph Network Based Medical Hyperspectral Image Classification for Tumor Diagnosis

FA-Diff: Leveraging Frequency-Aware RWKV Diffusion for OCT to Correlation-Stability Map Translation

Non-Stationary Spectral State-Space Networks with Region-Wise Frequency Routing for Robust Fundus Vessel Segmentation

Wavelet-Guided Spectral–Spatial Learning for Medical Hyperspectral Image Segmentation

Modalities -> Synthetic / Computational Imaging

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Conditioned Domain Randomization for Zero-Shot 3D Cerebrovascular Segmentation

AsynDiff: Asynchronous-Timestep Diffusion with Noise-Aware Attention for Multi-sequence MRI Synthesis

Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants

CheXanatomy: Anatomy–Aware Vision–Language Modeling for Chest Radiographs

Conditional Latent Diffusion Model with Fourier-Based Motion Modelling for Virtual Population Synthesis

CONNECT-4: Brain Connectivity-Guided Hyperedge Graph Fusion for Structural MRI to 4D Rest Functional MRI Synthesis

Cross-channel Consistent Mamba for Extreme Limited-View Photoacoustic Tomography Reconstruction

CTTok: Voxel-Abulary for Autoregressive 3D CT Volume Generation with Large Language Models

DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image Classification

EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis

EndoX: A GPU-Accelerated Endoscopic Perception Simulation Framework

FDMMBone: Flow-Based Conditional Deformable Mesh Modeling for Accurate 3D Bone Defect Completion

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

MS-GDUN: Multi-scale Graph Deep Unfolding Network with Gradient-Threshold Learning for FMT Reconstruction

On-Manifold Variational Learning with Heat-Kernel Priors

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

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

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans

Seamless Whole Slide Label-Free Virtual Staining

Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

Time Matters: Rethinking Diffusion and Flow Models in One-Step Medical Image Translation

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

TriFlow: Triplane Latent Conditional Flow Matching for Efficient 3D Skull Shape Completion

Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography

VesselSim: learning 3D blood vessel segmentation without expert annotations

Modalities -> Ultrasound

A Modality-Aware Mixture-of-Experts Framework for Clinical Multimodal Breast Ultrasound Diagnosis

Adapting Without Access: Black-Box Bayesian Adaptation for Trustworthy Cross-Center Medical Image Segmentation

AI-Driven Pulmonary Congestion Assessment for Lung Ultrasound via Segmentation-Guided Transformers

Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

Anatomy-Texture Aware Safe Gradient Guidance for Source-Free Domain Adaptive Echocardiography Video Segmentation

Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration

AnomExpert: Identifying and Selecting Anatomical Planes for Prenatal Ultrasound Anomaly Diagnosis

Are Foundational Models Less Biased Than Specialized Models? An Ultrasound Study

AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression

AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation

BDFR-Net: Boundary-Aware Dual-Domain Feature Reconstruction Network for Fetal Ultrasound Image Segmentation

BIGUS: Beam Integrated Gaussian Scattering for Continuous Ultrasound View Synthesis

Boosting Ultrasound Image Classification via Attribute-Guided Dual-Branch Framework

Bridging Heterogeneous Medical Datasets via Mixture-of-Specialists Adapters for Unified Medical Image Classification

B-spline Activations as Intrinsic Uncertainty Estimators in Medical Image Segmentation

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

CardiacPULSE: Frequency-Aware Self-supervised Cardiac Phase Detection in Echocardiography

Compass: Prostate Cancer Detection Needs Multi-view Context

Conformal 3D Lesion Segmentation with Balanced Risk Control

CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification

CSGE: Break the SSL Bottleneck in Medical Image Segmentation via Collaborative Semantic-Geometric Experts

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

DiCoP-SAM: Disagreement-Band Guided Corrective Prompting for Collaborative Semi-Supervised Medical Image Segmentation

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Discriminative Directional Projection for Reverse Distillation in Breast Ultrasound Anomaly Detection

Discriminative Synergistic Temporal Diffusion for Ultrasound Video Thyroid Nodule Segmentation

Disentangling Clinic-Specific Acquisition Variability from Motion Dynamics in Intrapartum Ultrasound

Distilling Temporal Coherence Into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation

DK-Net: Semi-supervised Wavelet-KAN Landmark Localization for Angle of Progression Measurement in Intrapartum Transperineal Ultrasound

DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration

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

Dual-Domain Meta Conditioning Network for Fetal Head and Pubic Symphysis Segmentation in Ultrasound Images Analysis

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

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

Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

Exploring Efficient Weakly Supervised Ultrasound Video Object Segmentation with VLM-Guided Structure Advantage Learning

FARSIGHT: A Dynamic Multi Modal Medical Image Analysis Framework Powered by a Prior Knowledge Guided Vision Language Model

FedCHDP: Federated Concept-Guided Dual-Modal Prompting for CHD Diagnosis

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

Fibers of Asymmetric Similarity: A Framework for Clinical and Imaging Data

FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance

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

Frequency-Aware Multi-Margin Loss for Imbalanced Medical Ordinal Classification

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

GCM-Net: Anatomy-Aware Gaussian-Contrastive Multi-layer Fusion Network for Abdominal Ultrasound Standard Plane Classification

GeoCAN: Nonlinear Causal-Geometric Learning for Echocardiography Quality Assessment

HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

HAR-MoE: Hierarchical Affinity-aware Routing Mixture-of-Experts for Unified Multi-Organ Ultrasound Analysis

Hierarchical Hyperbolic Self-Attention Network for Medical Image Segmentation

Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection

High-Frequency Guided Feature Refinement for Semi-supervised Ultrasound Image Segmentation

HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

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

Interaction-Aware Contrastive Multi-task Learning for Joint Segmentation and Malignancy Classification in Thyroid Ultrasound

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

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography

Latent-CURE: Interpretable Breast Cancer Diagnosis via Dual-Asymmetric Chain-of-Thought

Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

Mamba Based Anisotropic Diffusion Model for Speckle Noise Reduction in Ultrasound Images

MedExpMem: Adapting Experience Memory for Differential Diagnosis

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models

MedObvious: Exposing the Medical Moravec’s Paradox in VLMs via Clinical Triage

Modality-Agnostic Domain Generalizable Medical Image Segmentation via Self-Coordinated Focusing

Motion-Conditioned Multi-view Fusion for Myocardial Infarction Localization from Echocardiography

MSHF-Net: Multimodal Breast Cancer Molecular Subtype Prediction via Segmentation-Guided Hierarchical Fusion Network

MSQG-3DNet: Multi-scale Token Selection with Query-Decoder and Gated Fusion for 3D Breast Tumor Classification

Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift

Multi-view Consistency-Based Adaptation of SAM2 for 3D ABUS Tumor Segmentation

MUX-USCT: A Noise-Robust Neural Network for Ultrasound Computed Tomography

Oculo: A Multilabel Dataset for the Identification of Ocular Abnormalities from Ultrasound Images

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning

Organ-Invariant Tumor Representation Learning via Disentangled Adversarial MAE for Multi-organ Ultrasound Imaging

OSCAR: Occupancy-Based Shape Completion via Acoustic Neural Implicit Representations

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

PancCADx: A Multimodal Framework for Pancreatic Cancer Diagnosis

PANet: Probability-Anchored Network for Ultrasound Bone Segmentation

Peeling an Onion: Layer-Wise Doppler-Backprojected Ultrasound Microvascular Vector Flow Imaging

Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization

Plane-Wise Retrieval Memory and Structural Evidence Fusion for Tetralogy of Fallot Video Diagnosis

PoseBridgeNet: Learning a Pose-Evolving Schrödinger Bridge for Multi-Organs Segmentation in Prenatal Volumetric Ultrasound

Pressure-Tuned Auditor for Sycophancy-Resistant Breast Ultrasound VLM Diagnosis

Proactive Domain Unification for Robust Echocardiography Segmentation

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

ProSyn-Net: A Reliable Prototypical Synergy Network for Imbalanced Dermatologic Multimodal Ultrasound Diagnosis

Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

RACA: Rule-Aligned Collaborative Agents for Evidence-Grounded Breast Ultrasound Classification

Real-Time 6D Ultrasound Probe Pose Tracking in Freehand Scanning

Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework

Robotic Ultrasound Makes CBCT Alive

S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation

SAVer: Structure-Aware Validation of Standard Fetal Head Planes via Clinically Grounded Anatomical Completeness

SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation

Self-supervised Learning on Lingual Ultrasound Video Encodes Clinically Meaningful Articulatory Structure of Rhotic Production in Residual Speech Sound Disorder

Self-supervised Spline Autoencoder for Smooth Latent Dynamics in Echocardiography

Self-supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping

Shape-Aware Registration Without Pretraining: CT-Ultrasound Bone Surface Alignment via Instance-Level Shape Completion

SONIC: Sonographer-Inspired Conceptual Explanation for Neural Networks

SonoCLIP: Mask-Guided Region-Aware Vision–Language Pretraining for Fetal Ultrasound Analysis

Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation

Structure-Aware Sensorless 3D Ultrasound and Photoacoustic Reconstruction

TG-OT: Topology-Guided CCTA-IVUS Registration via Optimal Transport Matching

The Learnability Gap in Medical Latent Diffusion

Toward Thyroid Cancer BRAF V600E Mutation Prediction via Multimodal Large Language Model: Dataset and Model Development

Towards Unified Image–Video Modeling Across B-Mode and Contrast-Enhanced Ultrasound for Multi-task Analysis

Trackerless Ultrasound Pose Estimation via Correspondence-Aware Tokenization and Flow-Matching Transformers

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning

Ultrafast Echocardiography Based on Dynamic Subspace-Guided and Temporal Adaptive Diffusion

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation

UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance

Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video

WaCT-US: Cyclic-Alignment Scaled Contour Tubes for Efficient, Calibrated Uncertainty in Echocardiography

wBCAM: Windowed Bi-directional Cross-Attention with Mamba for Enhanced 3D Vascular Reconstruction in Free-Hand Photoacoustic and Ultrasound Imaging

When Views Disagree: Conflict-Aware Evidential Inference for Multi-view Mammography

Where Is the Needle Tip? VA Sensing Reveals Hidden Needle-Tissue Transitions During US Guidance

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Special Topic -> AI for Neglected Diseases & Limited-Resource Settings

A Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

ALSAnchorNet: Biologically Informed Multimodal MRI Fusion for Amyotrophic Lateral Sclerosis Diagnosis

AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression

Attention is Matter for Inclusiveness: Generating Synthetic CT for Patients with Hip Implants

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

CDFP-Net: Cross-Modal Dynamic Fusion with Diffusion Priors for PET-CT Tumor Segmentation

Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification

DCLDs-RAG: Evidence-Grounded Multimodal Retrieval-Augmented Generation for Diffuse Cystic Lung Diseases Diagnosis

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

Echo-SCAR: Temporal Feature Learning for Myocardial Scar Detection from Routine Echocardiography

Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

Foundation Model-Driven Key Anatomy Frame Selection for Blind-Sweep Ultrasound Fetal Birth Weight Estimation

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

Generative Anchor-Guided Federated Domain Generalization for Heterogeneous Pan Cancer Image Analysis

Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection

HiLoGraph: Hierarchical-Longitudinal Brain Network Representation Learning

HomoSeg: A Weak-Label-Guided Semi-supervised Framework for Tumor Microenvironment Segmentation

I²-Med: Interpretable Medical Inference Through Visual-Guided Dynamic Logits Calibration

KiD-Seg: Kinetic-Disentangled Contrastive Learning with Anchor Guidance for Incomplete Multi-Modal Liver Tumor Segmentation

MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

Microglia-RTS: Instance Segmentation of Microglia in Hypoxic Ischemic Fetal Sheep Brain Histology

Multimodal Large Language Model-Driven Self-Verification Reasoning for Interpretable Diagnosis of Diffuse Cystic Lung Diseases

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

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

Quantification of 3D Musculoskeletal CT Image-Based Biomarkers in the Lumbar Spine: Application in Metastatic Prostate Cancer

RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review

ReLiF-3D: Prior-Guided Semi-supervised 3D MRI Segmentation via Robust Bias-Consistent Paired Views

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

TinyH2GNet: Exploring Lightweight Models for Gene Expression Prediction from H&E Images

Special Topic -> AI for Population Health, Public Health & Epidemiology

A Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

BrainKODE: Controlled Koopman Dynamics over Longitudinal Structure–Function Coupling for Early Prediction of Adolescent Substance Use

ClinLoop: Human-AI Collaborative Agents for Multimodal Breast Cancer Diagnosis Under Incomplete Clinical Data

DEER: A Foundation Model with Dual-Branch CT-Enhanced Embeddings for Thoracoabdominal Radiographs

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning

Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection

LLM-Steered Clinical Knowledge Discovery for CVD Outcome Modeling

MamaDino: Mammography-Aware Multi-view Attentional DINO for 3-Year Breast Cancer Risk Prediction

Multimodal Contrastive Regression for Organ-Resolved Biological Age Prediction

NutriDiff: Phenotype-Consistent Diffusion Augmentation for Malnutrition Screening

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

Privacy-Preserving Video-Based Facial Palsy Recognition via Dynamic Facial Action Modeling

RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

Semantic-Aware Organ-Level Esophageal Tumor Synthesis via Latent Rectified Flow

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

Special Topic -> Clinical Trials & Deployment

A Modality-Aware Mixture-of-Experts Framework for Clinical Multimodal Breast Ultrasound Diagnosis

An Artifact-Based Agent Framework for Adaptive and Reproducible Medical Image Processing

Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

CSAM-HQ: A Multi-stage Refinement Framework for Surgical Instrument Segmentation based on SAM and Probabilistic Graphical Models

CURA: Calibrated Uncertainty with Retrieval and Agents for Trustworthy Multimodal Medical Decision Support

Device-Constrained Real-Time EVD Catheter Segmentation

Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework Without Direct DICOM Access

DPMix-GAN: Dual-Domain Perception and Dynamic Patch-Wise Mixing GAN for 3D CT Synthesis in MR-only Radiotherapy

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

Multi-probe Trait–State Latent Modeling for Cross-Context Clinical Motor Assessment

PathoMamba: Piecewise-Diffeomorphic Registration via Stiffness-Modulated State Space Dynamics

SF-DINO: Spatial-Frequency Adapted Foundation Model for Multiple Myeloma Diagnosis

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

Special Topic -> Low-Cost / Point-of-Care Imaging

A Multi-center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

ALFA: Biplanar X-Ray Reconstruction via Anatomy-Latent Field Adaptation

AS-TIME: Time-Conditioned Multimodal Modeling of Aortic Stenosis Progression

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

BREIT: A Framework for Brain Stroke Reconstruction using Multi-frequency 3D EIT

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology

Device-Constrained Real-Time EVD Catheter Segmentation

DFuse: A Dual-Branch Adaptive Fusion Network for Multi-Channel MCG Denoising

Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

Echo-SCAR: Temporal Feature Learning for Myocardial Scar Detection from Routine Echocardiography

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

Foundation Model-Driven Key Anatomy Frame Selection for Blind-Sweep Ultrasound Fetal Birth Weight Estimation

Frequency-Aware Post-Training Quantization for Medical Image Denoising

FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images

GTRE: A Physiological-Semantic Foundation Model for Generalizable EEG Analysis via Preference-Guided Alignment

Hierarchical Multi-Video Multiple Instance Learning: AI-Interpreted Point-of-Care Ultrasound for TB Detection

HypOProto: Hyperbolic Ordinal Prototypes for Left Ventricular Filling Pressure Classification

Learning Dual Prior Presentation for Opportunistic Screening of Visceral Artery Aneurysms on Non-Contrast CT

Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-ultrasound Prostate Cancer Detection

Missingness-Aware Multimodal Learning for Four-Class Adrenal Tumor Classification

MS-GDUN: Multi-scale Graph Deep Unfolding Network with Gradient-Threshold Learning for FMT Reconstruction

mSpecFusion-Net: Intelligent Multimodal Smartphone Imaging for Mobile Differential Diagnosis of Psoriasis and Dermatitis and Deep Learning

ProtoReg: Prototype Guidance and Dual-Level Uncertainty-Weighted Consistency for Semi-supervised Pulmonary Perfusion Regression

SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

SuRe-Flow: Surface-to-CT Synthesis via Retrieval-Augmented Rectified Flow for CT-Free Superficial Radiotherapy

VisiFAT: Estimating Visceral Fat from Dual-View DXA Scans Using Cross-View Attention

Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity

Special Topic -> Telemedicine & Mobile Health Imaging

Benchmarking Foundation Models for Early Multi-retinopathy Detection at National Scale: Performance, Generalization, and Bias

Benchmarking Video Foundation Models for Remote Parkinson’s Disease Screening

Better Said Than Seen: Exposing and Mitigating Modality Collapse with ICD-11-Grounded Evaluation

Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework Without Direct DICOM Access

Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction

mSpecFusion-Net: Intelligent Multimodal Smartphone Imaging for Mobile Differential Diagnosis of Psoriasis and Dermatitis and Deep Learning

Smartphone-Based ASD Screening via Instance-Adaptive Cross-Modal Fusion and Contrastive Learning

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

Weakly-Supervised Temporal Decomposition with Graph Neural Networks for Parkinsonian Turning Assessment

Surgery -> Data Science in Surgery

A Modality-Aware Mixture-of-Experts Framework for Clinical Multimodal Breast Ultrasound Diagnosis

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction

DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration

EdgeCVS: Democratization of surgical AI with a Distilled Edge-Deployable Critical View of Safety (CVS) model

EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting

From Perception to Anticipation: Forecasting Vessel–Instrument Interactions in Endoscopic Surgery under Unreliable Observations

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

Graph Neural Networks for Morphometric Characterization of the Aortic Valve

HoughSAM: Geometry-Guided Zero-Shot Segmentation of Main Incision in Cataract Surgery Using SAM2 for Skill Assessment

LangOR: 3D Language Field Reconstruction for Operating Room

Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

OsteoFlow: Lyapunov-Guided Flow Distillation for Predicting Bone Remodeling after Mandibular Reconstruction

PhaseMamba: Two-Stage Learning from Short Clips to Full Procedures for Online Surgical Phase Recognition

Physics-Inspired Continuous Transformer for Fast QDSA Reconstruction

PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

Positive Semi-definite Group-Aware Instance Disentangled Learning for WSI Representation

R-MSA: Rhythm-Conditioned Surgical Video Skill Assessment via Morphology Synchronization and Uncertainty Calibration

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

Sparsely Supervised Surgical Video Segmentation with Reliable Asymmetric Dual Memory

SpikeMamba: Spike-Driven State Space Models for Energy-Efficient Biomedical Sequence Modeling

Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition

Surgical Anatomy Recognition with Context Learning using Foundation Representations

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-Rays

SwallowReg: SAM-Assisted Deformable Registration with Adaptive Global-Local Features for Cine-MRI Swallowing Function Quantification

Temporal Phase-Difference Guided Spatiotemporal Learning for DSA Vessel Segmentation

Test-Time Adaptation for Rare Surgical Phase Recognition: Bridging the Coverage-Gap Paradox

Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided

Towards Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs

Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D–2D Registration for Liver Laparoscopy

When Tissue Speaks: Vibroacoustic Monitoring of Tissue Response During Electrosurgery

Surgery -> Human-Robot Interaction & Autonomous Systems

CoSim: Unleashing Eye Movements for EEG-Free Emotion Recognition via Conditional Prompting and Similarity-Guided Augmentation

DreamReg: Belief-Driven World Model for 2D–3D Ultrasound Registration

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

TraceCXR: Verifiable Chest X-ray Reports via Evidence-Addressable Graph Prompting

VigilSAM3: Reinforcement-Optimized Memory Gating for Ultra-Long Surgical Video Segmentation

Surgery -> Mixed / Augmented / Virtual Reality

All-in-One Augmented Reality Guided Head and Neck Tumor Resection

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

Device-Constrained Real-Time EVD Catheter Segmentation

LangOR: 3D Language Field Reconstruction for Operating Room

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

Physics-Based iOCT Sonification for Real-Time Interaction Awareness in Subretinal Injection

S2DLight: Single Step Diffusion Network via Degradation-Aware Adaptation for Surgical Endoscopic Image Low-Light Enhancement

Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D–2D Registration for Liver Laparoscopy

All-in-One Augmented Reality Guided Head and Neck Tumor Resection

Anatomy-Aware Standard Plane Localization in 3D Ultrasound with Geometric Constraints

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

Bridging the Markerless Tracking Validation Gap: Intraoperative X-Ray Workflow Integration

CAG-WM: A Synthetic-Data-Driven Coronary World Model for Autonomous Guidewire Navigation

End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery

EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video

FlowReg: Reconstruction-Guided Flow Matching for Universal Spinal CT/X-Ray Registration

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

LangOR: 3D Language Field Reconstruction for Operating Room

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

NR-Align: Non-rigid Alignment for Non-simultaneous Two-View 3D Coronary Reconstruction in Complex Cardiac Interventions

OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

Real-Time 6D Ultrasound Probe Pose Tracking in Freehand Scanning

Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework

Robotic Ultrasound Makes CBCT Alive

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

Surgical Anatomy Recognition with Context Learning using Foundation Representations

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery

Trackerless Ultrasound Pose Estimation via Correspondence-Aware Tokenization and Flow-Matching Transformers

Surgery -> Other

B² Loss for Evidential Classification of Critical View of Safety in Laparoscopic Cholecystectomy

Beyond Stochastic Diffusion: Trajectory-Consistent Deterministic Flow Matching for Fluorescence Molecular Tomography

ClinLoop: Human-AI Collaborative Agents for Multimodal Breast Cancer Diagnosis Under Incomplete Clinical Data

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

Dynamic Sub-domain Modeling for Robust Medical Image Segmentation

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

From Geometry to Clinic: A Physics-Aware Evaluation Framework and Benchmark for Automated Dental Crown Design

Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-identification

HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Space

MedRAG-SCA: A Retrieval-Augmented Self-correcting Agent for Clinically Compliant Cross-Modality MRI Synthesis

PathoMamba: Piecewise-Diffeomorphic Registration via Stiffness-Modulated State Space Dynamics

Physics-Grounded Weakly Supervised Histopathological Tissue Segmentation via Frozen Tri-Domain Prototypes

Physio-Anatomical Prior-Guided Probabilistic Field Learning for Ultrasound-Based Neuro-Fascial Interface Landmark Localization

Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

Prototype-Driven Robust Domain Generalization in Corneal Endothelial Cell Segmentation

Research Design Considerations for Empirical User Studies in MICCAI

TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

Unveiling Brain-Body Axis Interactions in Psychiatric-Endocrine Disorder with Deep Graph Causal Neural Network

Surgery -> Planning & Simulation

A Deep Learning Surrogate Model for Microwave Thermal Ablation: From Preoperative Planning to Intraoperative Re-planning

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

Anatomically Accurate 3D Vessel Generation via 3-Phase Chebyshev Curve Diffusion

Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT

Automated Scope Pose Estimation in Real-World Robotic-Assisted Bronchoscopy with Integrated C-Arm Imaging

Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-Shot Biparametric MRI Quality Assessment via Distortion-Trained Prototypical Networks

CAG-WM: A Synthetic-Data-Driven Coronary World Model for Autonomous Guidewire Navigation

From Geometry to Clinic: A Physics-Aware Evaluation Framework and Benchmark for Automated Dental Crown Design

Interactive MWA Planning via Probabilistic Inverse Inference

KiD-Seg: Kinetic-Disentangled Contrastive Learning with Anchor Guidance for Incomplete Multi-Modal Liver Tumor Segmentation

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

OrthoMorphNet: Alignment-Guided Hierarchical Morphological Synthesis of Post-orthodontic Dentition and Gingiva

OsteoFlow: Lyapunov-Guided Flow Distillation for Predicting Bone Remodeling after Mandibular Reconstruction

OT-Coupled Flow: Towards Realistic TEE Simulation via Unpaired Cross-Modality Translation with Anatomical Consistency

Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

Planning the Perfect Burn: Multi-objective PSO for Multi-needle Thermal Ablation

Preoperative Simulation of Personalized Breast Reconstruction via Implant Prior Controllable Diffusion

RaD-Seg: Region-Aware Disentangled Learning for Plan-Guided Longitudinal Tumor Segmentation in Head-and-Neck Adaptive Radiotherapy

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation

SeedPro: Place Brachytherapy Seeds Like Expert Clinicians via Hierarchical Reinforcement Agents

SMART-KNEE: Sparse-Morphology Based Anatomical Reconstruction Using Topology-Aware Networks for Imageless Total Knee Arthroplasty

SurfMark3D: Surface-Based Graph Convolution Framework for Distal Femoral Landmark Localisation in Total Knee Arthroplasty

SutureFormer: Learning Surgical Trajectories via Goal-Conditioned Offline RL in Pixel Space

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

Towards Versatile and Safe Multi-electrode Path Planning for SEEG Implantation

TriFlow: Triplane Latent Conditional Flow Matching for Efficient 3D Skull Shape Completion

Surgery -> Scene Understanding

AffordTissue: Dense Affordance Prediction for Tool-Action Specific Tissue Interaction

Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting

EndoDA3: Unified Depth and Pose Estimation for Endoscopic Video

From Perception to Anticipation: Forecasting Vessel–Instrument Interactions in Endoscopic Surgery under Unreliable Observations

Hi-FL: Hierarchical Federated Learning Adaptation of Vision-Language Models for Multi-Institutional Surgical Phase Recognition

LangOR: 3D Language Field Reconstruction for Operating Room

Multi-Stage Dilated Convolution-Mamba Network for Surgical Action Triplet Recognition

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

Ordinal Priors for Colonoscopy Temporal Segmentation

PhysioSplat: Physics-Informed Dynamic Gaussian Splatting for Surgical Scene Reconstruction

RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception

ReMeDI: Refined Memory for Disambiguation of Identities with SAM3 in Surgical Segmentation

SIRA: Reasoning-Aware Surgical Instrument Segmentation via Query-Anchored Alignment

Situational context embedding and knowledge-based grounding for LLMs in surgical training assistance

Surgical Anatomy Recognition with Context Learning using Foundation Representations

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

SurgOnAir: Hierarchy-Aware Real-Time Surgical Video Commentary

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

TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation

Towards Unified Surgical Scene Understanding: Bridging Reasoning and Grounding via MLLMs

Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D–2D Registration for Liver Laparoscopy

Surgery -> Surgical Skills, Workflow & Team Dynamics

Bayesian Temporal Pose Networks for Uncertainty-Calibrated Laparoscopic Tool Pose Tracking

CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment

DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection

GES-Net: A Gesture, Error, and Smoothness Aware Network for Surgical Skill Assessment

Hi-FL: Hierarchical Federated Learning Adaptation of Vision-Language Models for Multi-Institutional Surgical Phase Recognition

HoughSAM: Geometry-Guided Zero-Shot Segmentation of Main Incision in Cataract Surgery Using SAM2 for Skill Assessment

KIDA: Kinematic-Intent Dual-path Alignment for Surgical Error Detection

LangOR: 3D Language Field Reconstruction for Operating Room

Multi-camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency

OCS-MAMBA: Object-Centric, Logic-Guided Approach for Surgical Action Understanding

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception

Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins

Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition

Surgical Video Temporal Grounding

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

SurgZSD: Zero-Shot Surgical Action Triplet Detection via Attribute Composition and Clinical Feasibility Inference

SWoMo: Neuro-Symbolic World Model for Cataract Surgery Simulation

TopoOR: A Unified Topological Scene Representation for the Operating Room

List of Papers by Subject Areas

Applications -> Anomaly / Lesion Detection

Applications -> Computational / Integrative Pathology

Applications -> Computational Anatomy & Physiology

Applications -> Computer-Aided Diagnosis

Applications -> Connectivity & Network Analysis

Applications -> Digital Twins / Simulation / Synthetic Data

Applications -> Federated / Privacy-Preserving Analysis

Applications -> Image Reconstruction

Applications -> Image Registration

Applications -> Image Segmentation

Applications -> Image Synthesis / Augmentation / Super-Resolution

Applications -> Image-Guided Interventions

Applications -> Medical Robotics

Applications -> Multimodal Integration with Clinical / Genomic / Biomarkers

Applications -> Neuropsychiatry & Mental Health Imaging

Applications -> Other

Applications -> Outcome Prediction / Prognosis / Longitudinal Modeling

Applications -> Public Health Imaging & Epidemiology

Applications -> Visualization in Biomedical Imaging

Body -> Abdomen

Body -> Brain

Body -> Breast

Body -> Cardiac

Body -> Eye

Body -> Fetal / Pediatric

Body -> Head & Neck

Body -> Lung / Thoracic

Body -> Musculoskeletal / Orthopedic

Body -> Pelvis / Reproductive System

Body -> Skin

Body -> Spine

Body -> Vasculature

Body -> Whole-body / Multi-organ / Other

Machine Learning -> Algorithmic Fairness / Safety / Regulation

Machine Learning -> Causal Inference / Counterfactual Reasoning

Machine Learning -> Continual / Lifelong Learning

Machine Learning -> Deep Learning

Machine Learning -> Domain Adaptation / Harmonization

Machine Learning -> Evaluation / Benchmarking / Reproducibility

Machine Learning -> Fairness / Safety / Reliability

Machine Learning -> Foundation Models

Machine Learning -> Interpretability / Explainability

Machine Learning -> Multimodal Models / LLMs / VLMs

Machine Learning -> Other

Machine Learning -> Pathomics

Machine Learning -> Radiomics / Radiogenomics

Machine Learning -> Reinforcement Learning / Control / Decision-Making

Machine Learning -> Semi- / Weakly- / Self-supervised Learning

Machine Learning -> Synthetic Data / Data-centric AI

Machine Learning -> Uncertainty Quantification

Modalities -> CT / X-ray

Modalities -> Diffusion MRI

Modalities -> Digital Pathology/Histopathology

Modalities -> EEG / MEG / ECG / Physiological Signals

Modalities -> Electronic Health Records

Modalities -> Endoscopy

Modalities -> Functional MRI

Modalities -> MRI

Modalities -> Microscopy

Modalities -> Mobile / Wearable / Point-of-Care Imaging & Sensors

Modalities -> Multimodal Sensor Fusion

Modalities -> Nuclear Imaging / PET / SPECT

Modalities -> Other

Modalities -> Photograph / Video

Modalities -> Robotics / Intraoperative Imaging

Modalities -> Spectroscopy

Modalities -> Synthetic / Computational Imaging

Modalities -> Ultrasound

Special Topic -> AI for Neglected Diseases & Limited-Resource Settings

Special Topic -> AI for Population Health, Public Health & Epidemiology

Special Topic -> Clinical Trials & Deployment

Special Topic -> Low-Cost / Point-of-Care Imaging

Special Topic -> Telemedicine & Mobile Health Imaging

Surgery -> Data Science in Surgery

Surgery -> Human-Robot Interaction & Autonomous Systems

Surgery -> Mixed / Augmented / Virtual Reality

Surgery -> Navigation

Surgery -> Other

Surgery -> Planning & Simulation