List of Papers by Subject Areas

Abdomen

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Abnormality-Driven Representation Learning for Radiology Imaging

Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation

Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis

Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

CENet: Context Enhancement Network for Medical Image Segmentation

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Edge-Aware Token Halting for Efficient and Accurate Medical Image Segmentation

EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models

Exploring the Design Space of 3D MLLMs for CT Report Generation

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

HyperSORT: Self-Organising Robust Training with hyper-networks

Implicit Deformable Medical Image Registration with Learnable Kernels

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting

Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Learning Segmentation from Radiology Reports

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

NeRF-based CBCT Reconstruction needs Normalization and Initialization

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs

RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

RadSAM: Segmenting 3D radiological images with a 2D promptable model

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation

ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

SAMUSA: Segment Anything Model 2 for UltraSound Annotation

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Tied Prototype Model for Few-Shot Medical Image Segmentation

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Towards Holistic Surgical Scene Graph

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency

Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Anomaly Detection

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Abnormality-Driven Representation Learning for Radiology Imaging

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Automated Detection of Abnormalities in Zebrafish Development

BenchReAD: A systematic benchmark for retinal anomaly detection

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

Deep Learning-based Alignment Measurement in Knee Radiographs

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Exploring the Design Space of 3D MLLMs for CT Report Generation

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Multi-Linear 3D Craniofacial Infant Shape Model

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection

Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation

RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis

Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification

StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap

Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

Application (Other)

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging

Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Automatic dataset shift identification to support safe deployment of medical imaging AI

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction

CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction

Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

Direct Inversion Formula of the Multi-coil MR Operator under Arbitrary Trajectories

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

DuoDent: Tooth Generation using Dual-Stream Diffusion with Normal Consistency

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Intra- and Cross-View Enhancement for OCTA Imaging

ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Medical Large Vision Language Models with Multi-Image Visual Ability

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction

NeRF-based CBCT Reconstruction needs Normalization and Initialization

Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping

Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Radar-Based Imaging for Sign Language Recognition in Medical Communication

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention

Supervised Diffusion-Model-Based PET Image Reconstruction

Surgical Action Planning with Large Language Models

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

UltrON: Ultrasound Occupancy Networks

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Unleashing the Power of LLMs for Medical Video Answer Localization

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs

VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Biomedical Image Computing for Neglected Diseases

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Brain

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation

A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction

Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Bowsher prior Enhanced Unsupervised PET image Denoising

Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

CATVis: Context-Aware Thought Visualization

CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

CENet: Context Enhancement Network for Medical Image Segmentation

Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Conditional Graph Diffusion with Topological Constraints for Brain Network Generation

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Conformal forecasting for surgical instrument trajectory

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification

CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis

Cross-Modal Graph Learning for Perivascular Spaces Segmentation

CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection

DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis

Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine

DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Does Connectome Harmonic Analysis pass the Spin Test?

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Exploring the feasibility of zero-shot super-resolution in preclinical imaging

F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation

Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Generating Novel Brain Morphology by Deforming Learned Templates

Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Harnessing Side Information for Highly Accelerated MRI

Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation

Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Interpretable fMRI Captioning via Contrastive Learning

Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Masked Contrastive Language-Image Modeling For Brain Segmentation

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

MedGNN: General Medical Image Recognition Network via GNN Visual Representations

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework

MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks

Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

NeRF-based CBCT Reconstruction needs Normalization and Initialization

Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions

New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

One-shot active learning for vessel segmentation

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency

Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data

Predicting Longitudinal Brain Development via Implicit Neural Representations

Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution

Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis

RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

RadSAM: Segmenting 3D radiological images with a 2D promptable model

RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval

Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment

Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation

Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation

Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention

SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities

StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap

Supervised Diffusion-Model-Based PET Image Reconstruction

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

The Refining of Brain Connectivity Features on Residual Posterior Patterns

This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer

Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion

Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Brain Network Analysis

A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation

A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks

BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Conditional Graph Diffusion with Topological Constraints for Brain Network Generation

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification

Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis

DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection

DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis

DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine

Does Connectome Harmonic Analysis pass the Spin Test?

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Interpretable fMRI Captioning via Contrastive Learning

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits

MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency

Predicting Longitudinal Brain Development via Implicit Neural Representations

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

The Refining of Brain Connectivity Features on Residual Posterior Patterns

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

Breast

A flexible deep learning framework for survival analysis with medical data

A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

Abnormality-Driven Representation Learning for Radiology Imaging

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Advancing Medical Representation Learning Through High-Quality Data

AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Automatic dataset shift identification to support safe deployment of medical imaging AI

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Concept-induced Graph Perception Model for Interpretable Diagnosis

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Distilling foundation models for robust and efficient models in digital pathology

Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

KMUNet: A novel medical image segmentation model based on KAN and Mamba

Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Medical Large Vision Language Models with Multi-Image Visual Ability

MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology

Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

One For All: A Unified Approach to Classification and Self-Explanation

P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Paired Image Generation with Diffusion-Guided Diffusion Models

Pathology Image Compression with Pre-trained Autoencoders

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Physics-guided deep image prior network for general zero-shot stain deconvolution

Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images

ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

Robust sensitivity control in digital pathology via tile score distribution matching

SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

Single Image Test-Time Adaptation via Multi-View Co-Training

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

Temporal Model-Based Federated Active Medical Image Classification

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI

Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

UWT-Net: Mining low-frequency feature information for medical image segmentation

VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

CT / X-Ray

µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

A flexible deep learning framework for survival analysis with medical data

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Abnormality-Driven Representation Learning for Radiology Imaging

Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Advancing Medical Representation Learning Through High-Quality Data

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Automatic dataset shift identification to support safe deployment of medical imaging AI

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

CF-Seg: Counterfactuals meet Segmentation

Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction

CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Cycle Context Verification for In-Context Medical Image Segmentation

DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Deep Learning-based Alignment Measurement in Knee Radiographs

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

DuoDent: Tooth Generation using Dual-Stream Diffusion with Normal Consistency

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Edge-Aware Token Halting for Efficient and Accurate Medical Image Segmentation

EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Equitable Federated Learning with NCA

Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

Exploring the Design Space of 3D MLLMs for CT Report Generation

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation

Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

HyperSORT: Self-Organising Robust Training with hyper-networks

Implicit Deformable Medical Image Registration with Learnable Kernels

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Interactive Segmentation and Report Generation for CT Images

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction

Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

Learning Segmentation from Radiology Reports

Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

LesionDiffusion: Towards Text-controlled General Lesion Synthesis

Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Localization Lens for Improving Medical Vision-Language Models

Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

Med-BiasX: Robust Medical Visual Question Answering with Language Biases

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Medical Contrastive Learning of Positive and Negative Mentions

Medical Large Vision Language Models with Multi-Image Visual Ability

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts

MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Multi-Linear 3D Craniofacial Infant Shape Model

Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

NeRF-based CBCT Reconstruction needs Normalization and Initialization

New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

One For All: A Unified Approach to Classification and Self-Explanation

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Paired Image Generation with Diffusion-Guided Diffusion Models

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders

Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

RadSAM: Segmenting 3D radiological images with a 2D promptable model

RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation

ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment

Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Self-Supervised Multiview Xray Matching

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Separable tissue representations for attributable risk prediction

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Steerable Anatomical Shape Synthesis with Implicit Neural Representations

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap

Subgroup Performance Analysis in Hidden Stratifications

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Tied Prototype Model for Few-Shot Medical Image Segmentation

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Towards Automated Pediatric Dental Development Staging: A Dataset and Model

Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Untangling Vascular Trees for Surgery and Interventional Radiology

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance

Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

VesselSDF: Distance Field Priors for Vascular Network Reconstruction

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction

VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Cardiac

4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Addressing Label Scarcity and Domain Shift in Medical Image Segmentation

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Blind Restoration of High-Resolution Ultrasound Video

CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

NIMOSEF: Neural implicit motion and segmentation functions

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

RadSAM: Segmenting 3D radiological images with a 2D promptable model

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

RegScore: Scoring Systems for Regression Tasks

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection

Computational (Integrative) Pathology

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

A flexible deep learning framework for survival analysis with medical data

A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Adaptive Stain Normalization for Cross-Domain Medical Histology

AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

CytoSAE: Interpretable Cell Embeddings for Hematology

Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Distilling foundation models for robust and efficient models in digital pathology

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology

Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Pathology Image Compression with Pre-trained Autoencoders

Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Physics-guided deep image prior network for general zero-shot stain deconvolution

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Robust sensitivity control in digital pathology via tile score distribution matching

Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Training state-of-the-art pathology foundation models with orders of magnitude less data

Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Computational Anatomy and Physiology

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Deep Learning-based Alignment Measurement in Knee Radiographs

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

Steerable Anatomical Shape Synthesis with Implicit Neural Representations

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

VesselGPT: Autoregressive Modeling of Vascular Geometry

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Computer Aided Diagnosis

µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training

Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Adaptive Stain Normalization for Cross-Domain Medical Histology

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Advancing Medical Representation Learning Through High-Quality Data

Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Clinically-guided Data Synthesis for Laryngeal Lesion Detection

CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Concept-induced Graph Perception Model for Interpretable Diagnosis

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Confidence in Angle Predictions for Clinical Decision Support

Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification

Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Deep Learning-based Alignment Measurement in Knee Radiographs

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine

Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization

Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

Exploring the Design Space of 3D MLLMs for CT Report Generation

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

FunBench: Benchmarking Fundus Reading Skills of MLLMs

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Improving Autism Detection with Multimodal Behavioral Analysis

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Interactive Segmentation and Report Generation for CT Images

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction

Learning Disease State from Noisy Ordinal Disease Progression Labels

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

Localization Lens for Improving Medical Vision-Language Models

Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion

Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

Med-BiasX: Robust Medical Visual Question Answering with Language Biases

MedGCD: Generalized Category Discovery in Medical Imaging

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Medical Contrastive Learning of Positive and Negative Mentions

Medical Large Vision Language Models with Multi-Image Visual Ability

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Multi-Linear 3D Craniofacial Infant Shape Model

Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

One For All: A Unified Approach to Classification and Self-Explanation

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models

Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA

PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection

Personalized Federated Side-Tuning for Medical Image Classification

Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Predicting Longitudinal Brain Development via Implicit Neural Representations

Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease

Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning

Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

RedDino: A foundation model for red blood cell analysis

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Self-Supervised Multiview Xray Matching

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification

StepAL: Step-aware Active Learning for Cataract Surgical Videos

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Subgroup Performance Analysis in Hidden Stratifications

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

Temporal Model-Based Federated Active Medical Image Classification

Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Towards Automated Pediatric Dental Development Staging: A Dataset and Model

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Training state-of-the-art pathology foundation models with orders of magnitude less data

Training-free Test-time Improvement for Explainable Medical Image Classification

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction

Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency

UWT-Net: Mining low-frequency feature information for medical image segmentation

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction

VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Data Science

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Medical Contrastive Learning of Positive and Negative Mentions

MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Multi-Linear 3D Craniofacial Infant Shape Model

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

NIMOSEF: Neural implicit motion and segmentation functions

Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Predicting Longitudinal Brain Development via Implicit Neural Representations

Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

StepAL: Step-aware Active Learning for Cataract Surgical Videos

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

EEG / ECG

A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

CATVis: Context-Aware Thought Visualization

CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification

This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

Endoscopy

A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Conformal forecasting for surgical instrument trajectory

CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoGen: Conditional Autoregressive Endoscopic Video Generation

Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

KMUNet: A novel medical image segmentation model based on KAN and Mamba

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Towards Holistic Surgical Scene Graph

Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency

Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

UWT-Net: Mining low-frequency feature information for medical image segmentation

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Eye

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Automatic dataset shift identification to support safe deployment of medical imaging AI

BenchReAD: A systematic benchmark for retinal anomaly detection

Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

FunBench: Benchmarking Fundus Reading Skills of MLLMs

Gaussian Primitive Optimized Deformable Retinal Image Registration

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Intra- and Cross-View Enhancement for OCTA Imaging

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Learning Disease State from Noisy Ordinal Disease Progression Labels

Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

One For All: A Unified Approach to Classification and Self-Explanation

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Personalized Federated Side-Tuning for Medical Image Classification

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning

Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

StepAL: Step-aware Active Learning for Cataract Surgical Videos

Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

Unsupervised OCT image interpolation using deformable registration and generative models

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Fetal / Pediatric Imaging

Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

Confidence in Angle Predictions for Clinical Decision Support

CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Equitable Federated Learning with NCA

Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Multi-Linear 3D Craniofacial Infant Shape Model

PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation

Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos

Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Gynecology

Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning

Image Registration

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

Gaussian Primitive Optimized Deformable Retinal Image Registration

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Implicit Deformable Medical Image Registration with Learnable Kernels

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Multi-Linear 3D Craniofacial Infant Shape Model

New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions

OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Image Segmentation

A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

Addressing Label Scarcity and Domain Shift in Medical Image Segmentation

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

CENet: Context Enhancement Network for Medical Image Segmentation

CF-Seg: Counterfactuals meet Segmentation

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Cross-Modal Graph Learning for Perivascular Spaces Segmentation

Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

CS²C: Collaborative Spatial and Spectral Neural Clustering for Organelle Segmentation from Volumetric Electron Microscopy

CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Cycle Context Verification for In-Context Medical Image Segmentation

D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation

Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

Edge-Aware Token Halting for Efficient and Accurate Medical Image Segmentation

Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

Equitable Federated Learning with NCA

ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation

FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

HyperSORT: Self-Organising Robust Training with hyper-networks

IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation

IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation

KMUNet: A novel medical image segmentation model based on KAN and Mamba

Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Learning Segmentation from Radiology Reports

Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

Masked Contrastive Language-Image Modeling For Brain Segmentation

MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

NIMOSEF: Neural implicit motion and segmentation functions

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

One-shot active learning for vessel segmentation

Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Predicting Longitudinal Brain Development via Implicit Neural Representations

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs

RadSAM: Segmenting 3D radiological images with a 2D promptable model

ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation

ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation

Single Image Test-Time Adaptation via Multi-View Co-Training

SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation

SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation

Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Spline refinement with differentiable rendering

SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model

STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Tied Prototype Model for Few-Shot Medical Image Segmentation

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

UWT-Net: Mining low-frequency feature information for medical image segmentation

Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance

Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

VesselSDF: Distance Field Priors for Vascular Network Reconstruction

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Image Synthesis / Augmentation / Super-Resolution

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Blind Restoration of High-Resolution Ultrasound Video

BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Bowsher prior Enhanced Unsupervised PET image Denoising

CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

CATVis: Context-Aware Thought Visualization

Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis

Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance

Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction

EndoGen: Conditional Autoregressive Endoscopic Video Generation

Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Exploring the feasibility of zero-shot super-resolution in preclinical imaging

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation

FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Generating Novel Brain Morphology by Deforming Learned Templates

Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Harnessing Side Information for Highly Accelerated MRI

Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image

Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting

Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

LesionDiffusion: Towards Text-controlled General Lesion Synthesis

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework

Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Paired Image Generation with Diffusion-Guided Diffusion Models

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution

Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis

R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval

RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Self-Supervised Multiview Xray Matching

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Steerable Anatomical Shape Synthesis with Implicit Neural Representations

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities

Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration

Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI

TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer

UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Unsupervised OCT image interpolation using deformable registration and generative models

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference

Image-Guided Interventions

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Conformal forecasting for surgical instrument trajectory

CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Deep Learning-based Alignment Measurement in Knee Radiographs

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Implicit Deformable Medical Image Registration with Learnable Kernels

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Towards Holistic Surgical Scene Graph

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Integration of Imaging with Non-Imaging Biomarkers

Abnormality-Driven Representation Learning for Radiology Imaging

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

CATVis: Context-Aware Thought Visualization

ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Learning Segmentation from Radiology Reports

Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

RegScore: Scoring Systems for Regression Tasks

Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Separable tissue representations for attributable risk prediction

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

Low-Cost and Point-of-Care Imaging Solutions

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Lung

A flexible deep learning framework for survival analysis with medical data

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Advancing Medical Representation Learning Through High-Quality Data

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Automatic dataset shift identification to support safe deployment of medical imaging AI

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

CENet: Context Enhancement Network for Medical Image Segmentation

CF-Seg: Counterfactuals meet Segmentation

Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Cycle Context Verification for In-Context Medical Image Segmentation

Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Equitable Federated Learning with NCA

Exploring the Design Space of 3D MLLMs for CT Report Generation

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

Implicit Deformable Medical Image Registration with Learnable Kernels

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction

Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Localization Lens for Improving Medical Vision-Language Models

Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Medical Contrastive Learning of Positive and Negative Mentions

Medical Large Vision Language Models with Multi-Image Visual Ability

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression

Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

One For All: A Unified Approach to Classification and Self-Explanation

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders

Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

RadSAM: Segmenting 3D radiological images with a 2D promptable model

ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

Subgroup Performance Analysis in Hidden Stratifications

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

MIC and CAI Solutions for Limited-Resource Environments

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

NeRF-based CBCT Reconstruction needs Normalization and Initialization

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models

Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

MRI

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation

Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Addressing Label Scarcity and Domain Shift in Medical Image Segmentation

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks

BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Bowsher prior Enhanced Unsupervised PET image Denoising

BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Cross-Modal Graph Learning for Perivascular Spaces Segmentation

CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

Direct Inversion Formula of the Multi-coil MR Operator under Arbitrary Trajectories

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine

DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction

Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

Exploring the feasibility of zero-shot super-resolution in preclinical imaging

Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation

Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Generating Novel Brain Morphology by Deforming Learned Templates

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

Harnessing Side Information for Highly Accelerated MRI

Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation

Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

Masked Contrastive Language-Image Modeling For Brain Segmentation

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Medical Large Vision Language Models with Multi-Image Visual Ability

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions

New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

NIMOSEF: Neural implicit motion and segmentation functions

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

One-shot active learning for vessel segmentation

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping

Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data

Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Predicting Longitudinal Brain Development via Implicit Neural Representations

Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution

ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

RadSAM: Segmenting 3D radiological images with a 2D promptable model

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

RegScore: Scoring Systems for Regression Tasks

ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation

SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Single Image Test-Time Adaptation via Multi-View Co-Training

Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities

StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap

SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI

Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Tied Prototype Model for Few-Shot Medical Image Segmentation

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI

Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer

UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model

Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion

Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance

VesselGPT: Autoregressive Modeling of Vascular Geometry

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

MRI - Diffusion Imaging

A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Conditional Graph Diffusion with Topological Constraints for Brain Network Generation

Does Connectome Harmonic Analysis pass the Spin Test?

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI

Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis

Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

MRI - Functional MRI

A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification

DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis

Does Connectome Harmonic Analysis pass the Spin Test?

Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Interpretable fMRI Captioning via Contrastive Learning

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits

MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework

MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

The Refining of Brain Connectivity Features on Residual Posterior Patterns

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Machine Learning -

A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Conditional Graph Diffusion with Topological Constraints for Brain Network Generation

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Implicit Deformable Medical Image Registration with Learnable Kernels

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Temporal Model-Based Federated Active Medical Image Classification

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance

Machine Learning - Algorithmic Fairness

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Subgroup Performance Analysis in Hidden Stratifications

Machine Learning - Data Science

A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

Machine Learning - Deep Learning

µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

A flexible deep learning framework for survival analysis with medical data

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Abnormality-Driven Representation Learning for Radiology Imaging

Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

Advancing Medical Representation Learning Through High-Quality Data

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis

Automatic dataset shift identification to support safe deployment of medical imaging AI

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

BenchReAD: A systematic benchmark for retinal anomaly detection

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Blind Restoration of High-Resolution Ultrasound Video

Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Bowsher prior Enhanced Unsupervised PET image Denoising

BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

CATVis: Context-Aware Thought Visualization

CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

CENet: Context Enhancement Network for Medical Image Segmentation

Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification

CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis

Cross-Modal Graph Learning for Perivascular Spaces Segmentation

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction

CS²C: Collaborative Spatial and Spectral Neural Clustering for Organelle Segmentation from Volumetric Electron Microscopy

CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Cycle Context Verification for In-Context Medical Image Segmentation

CytoSAE: Interpretable Cell Embeddings for Hematology

D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction

DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Deep Learning-based Alignment Measurement in Knee Radiographs

DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis

DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance

Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Distilling foundation models for robust and efficient models in digital pathology

Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation

Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

DuoDent: Tooth Generation using Dual-Stream Diffusion with Normal Consistency

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Edge-Aware Token Halting for Efficient and Accurate Medical Image Segmentation

Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

EndoGen: Conditional Autoregressive Endoscopic Video Generation

Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Equitable Federated Learning with NCA

ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Exploring the Design Space of 3D MLLMs for CT Report Generation

Exploring the feasibility of zero-shot super-resolution in preclinical imaging

F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation

Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation

FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

FunBench: Benchmarking Fundus Reading Skills of MLLMs

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Generating Novel Brain Morphology by Deforming Learned Templates

Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

Harnessing Side Information for Highly Accelerated MRI

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation

Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

HyperSORT: Self-Organising Robust Training with hyper-networks

IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation

Implicit Deformable Medical Image Registration with Learnable Kernels

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Interactive Segmentation and Report Generation for CT Images

Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Interpretable fMRI Captioning via Contrastive Learning

Intra- and Cross-View Enhancement for OCTA Imaging

Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

KMUNet: A novel medical image segmentation model based on KAN and Mamba

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction

Learning Disease State from Noisy Ordinal Disease Progression Labels

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Learning Segmentation from Radiology Reports

Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

Localization Lens for Improving Medical Vision-Language Models

Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba

MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

Masked Contrastive Language-Image Modeling For Brain Segmentation

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

MedGCD: Generalized Category Discovery in Medical Imaging

MedGNN: General Medical Image Recognition Network via GNN Visual Representations

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Medical Contrastive Learning of Positive and Negative Mentions

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts

MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework

Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction

Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

NeRF-based CBCT Reconstruction needs Normalization and Initialization

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

NIMOSEF: Neural implicit motion and segmentation functions

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

One-shot active learning for vessel segmentation

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Paired Image Generation with Diffusion-Guided Diffusion Models

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Pathology Image Compression with Pre-trained Autoencoders

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models

PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA

PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Personalized Federated Side-Tuning for Medical Image Classification

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping

Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Predicting Longitudinal Brain Development via Implicit Neural Representations

Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis

Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs

Radar-Based Imaging for Sign Language Recognition in Medical Communication

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images

RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

RadSAM: Segmenting 3D radiological images with a 2D promptable model

RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Robust sensitivity control in digital pathology via tile score distribution matching

Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Self-Supervised Multiview Xray Matching

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Separable tissue representations for attributable risk prediction

SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Single Image Test-Time Adaptation via Multi-View Co-Training

Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention

Spline refinement with differentiable rendering

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Steerable Anatomical Shape Synthesis with Implicit Neural Representations

StepAL: Step-aware Active Learning for Cataract Surgical Videos

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities

Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap

StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap

Subgroup Performance Analysis in Hidden Stratifications

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Supervised Diffusion-Model-Based PET Image Reconstruction

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease

SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

The Refining of Brain Connectivity Features on Residual Posterior Patterns

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Tied Prototype Model for Few-Shot Medical Image Segmentation

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method

Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Towards Automated Pediatric Dental Development Staging: A Dataset and Model

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Towards Holistic Surgical Scene Graph

Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Training state-of-the-art pathology foundation models with orders of magnitude less data

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction

Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI

UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

UltrON: Ultrasound Occupancy Networks

UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

UWT-Net: Mining low-frequency feature information for medical image segmentation

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

VesselSDF: Distance Field Priors for Vascular Network Reconstruction

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Machine Learning - Deep learning

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

Machine Learning - Domain Adaptation / Harmonization

Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Adaptive Stain Normalization for Cross-Domain Medical Histology

Advancing Medical Representation Learning Through High-Quality Data

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Blind Restoration of High-Resolution Ultrasound Video

Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Medical Contrastive Learning of Positive and Negative Mentions

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Robust sensitivity control in digital pathology via tile score distribution matching

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Single Image Test-Time Adaptation via Multi-View Co-Training

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation

SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion

Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

Machine Learning - Foundation Models

µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

A flexible deep learning framework for survival analysis with medical data

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Abnormality-Driven Representation Learning for Radiology Imaging

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Advancing Medical Representation Learning Through High-Quality Data

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

CENet: Context Enhancement Network for Medical Image Segmentation

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Cycle Context Verification for In-Context Medical Image Segmentation

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Distilling foundation models for robust and efficient models in digital pathology

DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Exploring the Design Space of 3D MLLMs for CT Report Generation

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Medical Contrastive Learning of Positive and Negative Mentions

Medical Large Vision Language Models with Multi-Image Visual Ability

MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

RedDino: A foundation model for red blood cell analysis

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Training state-of-the-art pathology foundation models with orders of magnitude less data

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction

UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unleashing the Power of LLMs for Medical Video Answer Localization

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Machine Learning - Interpretability / Explainability

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction

An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Blind Restoration of High-Resolution Ultrasound Video

Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Concept-induced Graph Perception Model for Interpretable Diagnosis

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis

CytoSAE: Interpretable Cell Embeddings for Hematology

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Interpretable fMRI Captioning via Contrastive Learning

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Learning Disease State from Noisy Ordinal Disease Progression Labels

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

Localization Lens for Improving Medical Vision-Language Models

MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

Multi-Linear 3D Craniofacial Infant Shape Model

Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

One For All: A Unified Approach to Classification and Self-Explanation

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

Physics-guided deep image prior network for general zero-shot stain deconvolution

PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

RegScore: Scoring Systems for Regression Tasks

Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Separable tissue representations for attributable risk prediction

Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Subgroup Performance Analysis in Hidden Stratifications

Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Machine Learning - Machine Learning - Semi- / Weakly- / Self-supervised Learning

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

Machine Learning - Machine Learning - Uncertainty

GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

Machine Learning - Machine Learning - Validation

Automatic dataset shift identification to support safe deployment of medical imaging AI

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

Machine Learning - Mixed / Augmented / Virtual Reality

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Machine Learning - Navigation

World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Machine Learning - Planning and Simulation

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting

Machine Learning - Scene Understanding

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Machine Learning - Semi- / Weakly- / Self-supervised Learning

A flexible deep learning framework for survival analysis with medical data

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Abnormality-Driven Representation Learning for Radiology Imaging

Addressing Label Scarcity and Domain Shift in Medical Image Segmentation

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Advancing Medical Representation Learning Through High-Quality Data

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Bowsher prior Enhanced Unsupervised PET image Denoising

BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Direct Inversion Formula of the Multi-coil MR Operator under Arbitrary Trajectories

Distilling foundation models for robust and efficient models in digital pathology

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation

ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Masked Contrastive Language-Image Modeling For Brain Segmentation

Medical Contrastive Learning of Positive and Negative Mentions

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology

Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Physics-guided deep image prior network for general zero-shot stain deconvolution

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders

Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Robust sensitivity control in digital pathology via tile score distribution matching

RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Self-Supervised Multiview Xray Matching

Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Separable tissue representations for attributable risk prediction

SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Single Image Test-Time Adaptation via Multi-View Co-Training

Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation

The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Tied Prototype Model for Few-Shot Medical Image Segmentation

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Training state-of-the-art pathology foundation models with orders of magnitude less data

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Machine Learning - Uncertainty

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Confidence in Angle Predictions for Clinical Decision Support

Conformal forecasting for surgical instrument trajectory

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Learning Disease State from Noisy Ordinal Disease Progression Labels

Med-BiasX: Robust Medical Visual Question Answering with Language Biases

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Single Image Test-Time Adaptation via Multi-View Co-Training

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

StepAL: Step-aware Active Learning for Cataract Surgical Videos

SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Supervised Diffusion-Model-Based PET Image Reconstruction

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs

Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

Machine Learning - Validation

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

FunBench: Benchmarking Fundus Reading Skills of MLLMs

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

LDDMEm: Large Deformation Diffeomorphic Metric Embedding Decoupling Shape Analysis from Image Registration

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Subgroup Performance Analysis in Hidden Stratifications

Surgical Action Planning with Large Language Models

ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Training state-of-the-art pathology foundation models with orders of magnitude less data

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

Microscopy

A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Adaptive Stain Normalization for Cross-Domain Medical Histology

Advancing Medical Representation Learning Through High-Quality Data

AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Automated Detection of Abnormalities in Zebrafish Development

Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

CS²C: Collaborative Spatial and Spectral Neural Clustering for Organelle Segmentation from Volumetric Electron Microscopy

CytoSAE: Interpretable Cell Embeddings for Hematology

D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Delving into Out-of-Distribution Detection with Medical Vision-Language Models

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Distilling foundation models for robust and efficient models in digital pathology

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology

Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

One For All: A Unified Approach to Classification and Self-Explanation

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Pathology Image Compression with Pre-trained Autoencoders

Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Physics-guided deep image prior network for general zero-shot stain deconvolution

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

RedDino: A foundation model for red blood cell analysis

Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Robust sensitivity control in digital pathology via tile score distribution matching

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Spline refinement with differentiable rendering

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

Temporal Model-Based Federated Active Medical Image Classification

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Training state-of-the-art pathology foundation models with orders of magnitude less data

Training-free Test-time Improvement for Explainable Medical Image Classification

Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction

Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Mixed / Augmented / Virtual Reality

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Modality (Other)

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

A flexible deep learning framework for survival analysis with medical data

A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis

DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation

DuoDent: Tooth Generation using Dual-Stream Diffusion with Normal Consistency

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

FunBench: Benchmarking Fundus Reading Skills of MLLMs

Gaussian Primitive Optimized Deformable Retinal Image Registration

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image

IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation

Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Intra- and Cross-View Enhancement for OCTA Imaging

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Learning Disease State from Noisy Ordinal Disease Progression Labels

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

MedGCD: Generalized Category Discovery in Medical Imaging

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Medical Large Vision Language Models with Multi-Image Visual Ability

MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

Radar-Based Imaging for Sign Language Recognition in Medical Communication

RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention

SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

Steerable Anatomical Shape Synthesis with Implicit Neural Representations

Supervised Diffusion-Model-Based PET Image Reconstruction

Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images

TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Unsupervised OCT image interpolation using deformable registration and generative models

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference

World Model for AI Autonomous Navigation in Mechanical Thrombectomy

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Navigation

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Conformal forecasting for surgical instrument trajectory

D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Nuclear Imaging

A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Bowsher prior Enhanced Unsupervised PET image Denoising

Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease

Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration

Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Photograph / Video

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

BenchReAD: A systematic benchmark for retinal anomaly detection

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Concept-induced Graph Perception Model for Interpretable Diagnosis

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

FunBench: Benchmarking Fundus Reading Skills of MLLMs

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Improving Autism Detection with Multimodal Behavioral Analysis

Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting

ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

KMUNet: A novel medical image segmentation model based on KAN and Mamba

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Multi-Linear 3D Craniofacial Infant Shape Model

Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Personalized Federated Side-Tuning for Medical Image Classification

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

StepAL: Step-aware Active Learning for Cataract Surgical Videos

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Temporal Model-Based Federated Active Medical Image Classification

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks

Training-free Test-time Improvement for Explainable Medical Image Classification

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Unleashing the Power of LLMs for Medical Video Answer Localization

Planning and Simulation

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Multi-Linear 3D Craniofacial Infant Shape Model

Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis

Untangling Vascular Trees for Surgery and Interventional Radiology

VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Robotics

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Surgical Action Planning with Large Language Models

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Scene Understanding

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction

Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency

Localization Lens for Improving Medical Vision-Language Models

MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression

Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

StepAL: Step-aware Active Learning for Cataract Surgical Videos

Surgical Action Planning with Large Language Models

Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Towards Holistic Surgical Scene Graph

Skill and Work Flow Analysis

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

Skin

Advancing Medical Representation Learning Through High-Quality Data

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

Concept-induced Graph Perception Model for Interpretable Diagnosis

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis

Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image

NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

One For All: A Unified Approach to Classification and Self-Explanation

Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Personalized Federated Side-Tuning for Medical Image Classification

PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

Subgroup Performance Analysis in Hidden Stratifications

Temporal Model-Based Federated Active Medical Image Classification

Training-free Test-time Improvement for Explainable Medical Image Classification

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Spectroscopy

A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Spine

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

RadSAM: Segmenting 3D radiological images with a 2D promptable model

Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

UltrON: Ultrasound Occupancy Networks

Telemedicine and Mobile Health Imaging Technologies

GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Ultrasound

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging

Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Blind Restoration of High-Resolution Ultrasound Video

Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Concept-induced Graph Perception Model for Interpretable Diagnosis

Confidence in Angle Predictions for Clinical Decision Support

D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Equitable Federated Learning with NCA

EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models

Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

One For All: A Unified Approach to Classification and Self-Explanation

OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS

SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

UltrON: Ultrasound Occupancy Networks

Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

UWT-Net: Mining low-frequency feature information for medical image segmentation

Urology

Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

UWT-Net: Mining low-frequency feature information for medical image segmentation

Vasculature

A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Intra- and Cross-View Enhancement for OCTA Imaging

ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

One-shot active learning for vessel segmentation

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

Steerable Anatomical Shape Synthesis with Implicit Neural Representations

TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Untangling Vascular Trees for Surgery and Interventional Radiology

Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

VesselGPT: Autoregressive Modeling of Vascular Geometry

VesselSDF: Distance Field Priors for Vascular Network Reconstruction

VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Visualization in Biomedical Imaging

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Confidence in Angle Predictions for Clinical Decision Support

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

HalF-SAM: SAM-based Haustral Fold Detection In Colonoscopy with Debris Suppression and Temporal Consistency

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Multi-Linear 3D Craniofacial Infant Shape Model

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Predicting Longitudinal Brain Development via Implicit Neural Representations

pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Untangling Vascular Trees for Surgery and Interventional Radiology

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning