List of Authors

A.N., Rajagopalan

• Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Abaci Turk, Esra

• Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
• Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Abbas, Ahmed

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

Abbasi, Mohammad

• Generating Novel Brain Morphology by Deforming Learned Templates

Abboud, Zeinab

• Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Abdelmoula, Walid M.

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

Abdelsamad, Baraa

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Abeln, Sanne

• Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Abioye, Sofiat

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

Abolmaesumi, Purang

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection
• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Acar, Ayberk

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
• From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training

Achim, Alin

• Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Adalsteinsson, Elfar

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

Adamowicz, Arleta

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

Adeli, Ehsan

• WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
• Generating Novel Brain Morphology by Deforming Learned Templates

Afkanpour, Arash

• Advancing Medical Representation Learning Through High-Quality Data

Aftabi, Hamidreza

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

Afyouni, Shadi

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

Agrawal, Pritee

• MedGCD: Generalized Category Discovery in Medical Imaging

Agrawal, Rishi

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Aharonyan, Artur Arturi

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases
• Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Ahmad, Hamza

• CATVis: Context-Aware Thought Visualization

Ahmed, SK Miraj

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

Ahn, Hayoung

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

Ahn, Jung Su

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

Ahn, Minkyu

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

Ahn, Sangjeong

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

Ahn, Sung Jun

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

Ai, Danni

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Ai, Tashan

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

Aiso, Sadakazu

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Akanbi, Lukman

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

Akash, Naren

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Akhtar, Naveed

• Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Akhter, Yasmeena

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

Akumu, Tanya

• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Al Hasan, Md Mahfuz

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

Al Khalil, Yasmina

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Al Moubayed, Noura

• DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

Al-Aswad, Lama

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

Al-masni, Mohammed A.

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

Alatrany, Abbas S.

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Alavi, Javaneh

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Albarqouni, Shadi

• Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Albuquerque, Tomé

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

Alcover-Couso, Roberto

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

Aldea, Gabriela D.

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

Alexander, Daniel C.

• Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS
• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Ali, Ayman

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

Ali, Danish

• Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Ali, Sharib

• ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

Alkhatib, Mohammad

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

Allassonnière, Stéphanie

• Untangling Vascular Trees for Surgery and Interventional Radiology

Allen, Samantha

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

Almagro-Pérez, Cristina

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

Almakky, Ibrahim

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

Almansoori, Mohammad

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

Alonso, Albert

• Spline refinement with differentiable rendering

Alus, Or

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

Alvén, Jennifer

• Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
• Separable tissue representations for attributable risk prediction

Alwakeel, Mahmoud

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

Ambsdorf, Jakob

• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Amir, Syeda Abeera

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

Amiranashvili, Tamaz

• Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Amruthalingam, Ludovic

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Amrutkar, Ankit

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

An, Chao

• Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification
• Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

An, Cheolhong

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

An, Fengwei

• Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

An, Jinseo

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

An, Jonghoon

• Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Andani, Sonali

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Anikina, Anna

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

Antipushina, Ekaterina

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

Anwar, Syed Muhammad

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases
• Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Ao, Licheng

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

Ao, Mingwu

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Aoki, Shigeki

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

Apfel, David

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

Arbel, Tal

• RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models
• Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Arce, David

• Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Argyriou, Vasileios

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

Armand, Mehran

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

Arnold, Jayanth Ranjit

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Arora, Chetan

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

Arora, Mehak

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

Arrigoni, Filippo

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

Arsanjani, Reza

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

Arvanitis, Theodoros N.

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Asadizanjani, Navid

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

Asano, Yuki M.

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

Asano, Yuta

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Ashburner, John

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

Ashkezari, Sajad

• Advancing Medical Representation Learning Through High-Quality Data

Ashraf, Shazad

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

Ashraf, Tajamul

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Ashrafian, Pooria

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

Atad, Matan

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

Atalık, Arda

• Harnessing Side Information for Highly Accelerated MRI

Atlaw, Meklit

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

Atoum, Jumanh

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
• From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training

Aung, Nay

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Aviles-Rivero, Angelica I.

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

Avinash, Gopal

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

Awasthi, Akash

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Axelsson, Kristian

• Separable tissue representations for attributable risk prediction

Ayache, Nicholas

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

Ayoub, Chadi

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

Azad, Reza

• LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
• CENet: Context Enhancement Network for Medical Image Segmentation

Azampour, Mohammad Farid

• UltrON: Ultrasound Occupancy Networks
• UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
• HyperSORT: Self-Organising Robust Training with hyper-networks

Azrak, Omar

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

B. van Heeswijk, Ruud

• NIMOSEF: Neural implicit motion and segmentation functions

Babin, Danilo

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

Babst, Reto

• Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

Baby, Britty

• Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
• Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Bae, Kyongtae Tyler

• MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Baek, John

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

Baek, Seung Jun

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

Baek, Seunghun

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

Baghbanzadeh, Negin

• Advancing Medical Representation Learning Through High-Quality Data

Bago-Horvath, Zsuzsanna

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

Baharoon, Mohammed

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

Bahig, Houda

• Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
• Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Bai, Harrison

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

Bai, Jie

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

Bai, Long

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Bai, Lu

• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Bai, Peng

• SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Bai, Shuwei

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

Bai, Wenjia

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
• CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Bai, Xiang

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Bai, Xiaoyu

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

Bai, Xuexue

• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Bai, Yang

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

Bai, Yunhao

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

Baik, Dayoung

• Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction

Bak, Soyeon

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

Baklouti, Ghassen

• Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation

Balakrishnan, Guha

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

Baldini, Chiara

• Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Bale, Reto

• Implicit Deformable Medical Image Registration with Learnable Kernels

Balestriero, Randall

• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Ballan, Lamberto

• Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

Balle Sanchez, Marc

• HyperSORT: Self-Organising Robust Training with hyper-networks

Balocco, Simone

• Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Balter, James M.

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

Balu, Niranjan

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Banerjee, Abhirup

• An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Banerjee, Imon

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

Banus, Jaume

• NIMOSEF: Neural implicit motion and segmentation functions

Bao, Jiayu

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

Bao, Lingyun

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

Bao, Nan

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

Bao, Qinsen

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

Bao, Rina

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

Bapi, Raju S.

• Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Barnard, Sarah

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

Barnett, Alina Jade

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

Barratt, Dean

• Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

Barrier, Loris

• PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Bartoli, Adrien

• Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images
• Automatic Deep Deformable Registration using Domain Adaptation and Run-Time Optimisation

Bartoli, Axel

• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Bartsch, Dirk-Uwe G.

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Baru, Lalith Bharadwaj

• Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Basak, Hritam

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

Basar, Saqib

• ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Bassi, Pedro R. A. S.

• Learning Segmentation from Radiology Reports

Basu, Soumen

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

Bathla, Girish

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

Batlle, Víctor M.

• EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

Baumann, Carole

• Automated Detection of Abnormalities in Zebrafish Development

Baumann, Elias

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Baumann, Jonas

• Automated Detection of Abnormalities in Zebrafish Development

Baumgartner, Christian F.

• Subgroup Performance Analysis in Hidden Stratifications
• Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
• Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Baumgartner, Michael

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

Bayer, Siming

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

Bayrak, Roza G.

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

Bazargani, Roozbeh

• ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Beaton, Andrea

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Beeler-Duden, Stefen

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

Beer, Meinrad

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

Beetz, Marcel

• An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Beggs, Andrew

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

Beizaee, Farzad

• Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Ben Ayed, Ismail

• Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
• Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
• Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.
• Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Benisty, Rotem

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

Benitez, Benito K.

• Multi-Linear 3D Craniofacial Infant Shape Model

Bera, Shreyangshu

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

Bercea, Cosmin I.

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

Berens, Philipp

• Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning
• Learning Disease State from Noisy Ordinal Disease Progression Labels

Bergeles, Christos

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

Berger, Alexander H.

• Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Berke, Robert

• Training state-of-the-art pathology foundation models with orders of magnitude less data
• On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

Berkovsky, Shlomo

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

Bernard, Olivier

• Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Beyan, Cigdem

• MadCLIP: Few-shot Medical Anomaly Detection with CLIP

Bhandari, Sanjay

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

Bhangu, Aneel

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

Bhardwaj, Rahul

• ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

Bhargava, Jia

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

Bhargava, Rohit

• Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Bhat, Sheethal

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
• CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

Bhattacharjee, Sourav

• Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Bhattacharya, Indrani

• Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Bhattarai, Binod

• NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging
• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Bi, Haixia

• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Bi, Qi

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

Bi, Yuan

• UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
• Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Biagini, Diego

• HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

Bian, Chang

• Deep Learning-based Alignment Measurement in Knee Radiographs

Bian, Jinghao

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Bian, Minghao

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

Bian, Zhangxing

• Unsupervised OCT image interpolation using deformable registration and generative models

Bianchi, Davide

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

Bidaoui, Ghassan

• SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Bie, Yequan

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

Biederer, Jürgen

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

Biffi, Carlo

• Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

Bigdeli, Siavash Arjomand

• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Bigolin Lanfredi, Ricardo

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Bihorac, Azra

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

Bilal, Muhammad

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

Billot, Benjamin

• Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
• Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Biros, George

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

Bise, Ryoma

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Bissoto, Alceu

• Subgroup Performance Analysis in Hidden Stratifications

Black, Peter

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Bloch, Isabelle

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

Blokx, Willeke A. M.

• Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Blum, Nele

• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Bodanapally, Uttam K.

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

Boedecker, Joschka

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

Boeken, Tom

• Untangling Vascular Trees for Surgery and Interventional Radiology
• RadSAM: Segmenting 3D radiological images with a 2D promptable model

Bogunović, Hrvoje

• RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Bolelli, Federico

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
• IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Bongratz, Fabian

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

Booth, Thomas C.

• World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Bose, Rupak

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

Bose, Soham

• Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

Botteron, Kelly N.

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

Boudrias, Marie-Hèléne

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

Bounias, Dimitrios

• The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Bozorgpour, Afshin

• LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
• CENet: Context Enhancement Network for Medical Image Segmentation

Branzan, Daniela

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

Braren, Rickmer

• Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
• A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

Braun, Philipp

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

Bravo, Diego

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

Braytee, Ali

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

Breeuwer, Marcel

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
• Cross-Modal Graph Learning for Perivascular Spaces Segmentation

Breimer, Gerben E.

• Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Breininger, Katharina

• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift
• Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

Broudy, Taylor Gloria

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Brown, Kelsey

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Bu, Jiajun

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

Buc, Emmanuel

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

Buck, Michele

• CytoSAE: Interpretable Cell Embeddings for Hematology

Buess, Lukas

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

Bum, Junghyun

• Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Busam, Benjamin

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

Bustin, Héloïse

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Butler, David

• Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

Butt, Adil

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

Byeon, Keunho

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

Byeon, Yunsu

• Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Byfield, Adam

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

Bäuerle, Alex

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

Bülow, Robin

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

Caffo, Brian

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

Cahan, Noa

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

Cai, Chengfei

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

Cai, Du

• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Cai, Gaocheng

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Cai, Gege

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

Cai, Hongmin

• PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
• GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network
• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Cai, Jianfei

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending
• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Cai, Jiangdong

• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Cai, Jieyi

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

Cai, Jing

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

Cai, Jiushen

• RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Cai, Junhao

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

Cai, Kunyan

• Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

Cai, Linghan

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

Cai, Lishan

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

Cai, Qian

• T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Cai, Shangyan

• GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network
• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Cai, Tongan

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Cai, Tuo

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

Cai, Wuque

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Cai, Xiaohao

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

Cai, Xiaoxu

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

Cai, Yu

• A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

Cai, Yuxin

• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Cai, Zerong

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

Calabresi, Peter A.

• Unsupervised OCT image interpolation using deformable registration and generative models

Calderara, Simone

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

Calhoun, Vince D.

• Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks
• A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

Caligiore, Gaia

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Campanella, Gabriele

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
• A flexible deep learning framework for survival analysis with medical data

Campbell, Abey

• Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Campello, Victor M.

• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Cao, Chao

• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Cao, Guitao

• Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

Cao, Jiawei

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

Cao, Peng

• Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities
• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
• ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
• BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

Cao, Qinglei

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

Cao, Wuteng

• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

Cao, Yuzhu

• Paired Image Generation with Diffusion-Guided Diffusion Models

Capitani, Giacomo

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

Capitão, Nuno

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

Carass, Aaron

• Unsupervised OCT image interpolation using deformable registration and generative models
• Exploring the feasibility of zero-shot super-resolution in preclinical imaging

Carlson, Grady Earl

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

Carneiro, Gustavo

• Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

Carretta, Alessandro

• Conformal forecasting for surgical instrument trajectory

Cascarano, Pasquale

• Blind Restoration of High-Resolution Ultrasound Video

Castro, Simão

• Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Cavalli, Andrea

• Learning Segmentation from Radiology Reports

Ceelen, Wim

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

Cen, Jie

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Cen, Min

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

Chai, Jiaxing

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

Chai, Shurong

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

Chaitanya, Krishna

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

Chakraborti, Tapabrata

• Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Chalcroft, Liam

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

Chan, Chee Seng

• Maverick: Collaboration-free Federated Unlearning for Medical Privacy

Chan, Jason Ying-Kuen

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Chan, Ka-Hou

• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Chan, Kwan Ho Ryan

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

Chan, Raymond H.

• Blind Restoration of High-Resolution Ultrasound Video

Chan, Simon C. K.

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

Chan, Yi Hao

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

Chang, Ao

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

Chang, Catie

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

Chang, Chengyuan

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

Chang, Heng

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Chang, Richard Shek-kwan

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

Chang, Shijie

• UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Chang, Silvia

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Chang, Xiaona

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Chang, Young Hwan

• Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Chang, Yujie

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

Chang, Yunyoung

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

Chang, ZiQing

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

Chao, Chieh-Ju

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

Chao, Hanqing

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Chaptoukaev, Hava

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
• One-shot active learning for vessel segmentation

Charton, Jerome

• RegScore: Scoring Systems for Regression Tasks

Chassagnon, Guillaume

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Che, Xin

• MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Chekkoury, Andrei

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

Chen, Antong

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

Chen, Bailiang

• Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Chen, Bin

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Chen, Bingdi

• Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
• Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Chen, Binghua

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

Chen, Bingzhi

• PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection
• Med-BiasX: Robust Medical Visual Question Answering with Language Biases

Chen, Boan

• SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

Chen, Bohao

• Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Chen, Boqi

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Chen, Boyu

• Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

Chen, Changjian

• Concept-induced Graph Perception Model for Interpretable Diagnosis

Chen, Chaoyu

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Chen, Chen

• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Chen, Cheng

• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Chen, Chu

• Blind Restoration of High-Resolution Ultrasound Video

Chen, Dewei

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

Chen, Dongdong

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

Chen, Elvis C.S.

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

Chen, Eric Z.

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Chen, Feng

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Chen, Geng

• SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation
• Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Chen, Guoliang

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Chen, Guoqing

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Chen, Hanyu

• LesionDiffusion: Towards Text-controlled General Lesion Synthesis
• Interactive Segmentation and Report Generation for CT Images

Chen, Hao

• PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
• Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
• Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection
• Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models
• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
• Dia-LLaMA: Towards Large Language Model-driven CT Report Generation
• Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Chen, Haowei

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

Chen, Haoyuan

• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

Chen, Hui

• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

Chen, Huijun

• Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Chen, Jia

• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Chen, Jiabao

• Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

Chen, Jiahui

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

Chen, Jialei

• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction

Chen, Jianan

• Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer
• Physics-guided deep image prior network for general zero-shot stain deconvolution

Chen, Jianguo

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Chen, Jiasheng

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

Chen, Jiayi

• Personalized Federated Side-Tuning for Medical Image Classification

Chen, Jiazhou

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

Chen, Jie

• SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

Chen, Jieneng

• Learning Segmentation from Radiology Reports

Chen, Jingjing

• Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Chen, Jingkun

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
• SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Chen, Jiongquan

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Chen, Jiqun

• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Chen, Jixiang

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

Chen, Jun

• Temporal Model-Based Federated Active Medical Image Classification
• Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training
• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Chen, Junhao

• MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Chen, Junyu

• Unsupervised OCT image interpolation using deformable registration and generative models

Chen, Junzhou

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

Chen, Kai

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Chen, Kanghao

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

Chen, Lei

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

Chen, Li

• ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation
• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Chen, Lihui

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

Chen, Liming

• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Chen, Ling

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

Chen, Lixuan

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

Chen, Lumin

• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Chen, Lushi

• VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

Chen, Mao

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

Chen, Min

• An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Chen, Minheng

• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Chen, Mohan

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Chen, Nan

• Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

Chen, Nanguang

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

Chen, Ning

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

Chen, Qi

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts
• Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Chen, Qiao

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

Chen, Qichao

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

Chen, Qingchao

• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Chen, Rui

• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Chen, Ruiyue

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Chen, Runnan

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

Chen, Rusi

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Chen, Shannan

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

Chen, Shaobin

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Chen, Shengcai

• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Chen, Shengchao

• Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

Chen, Shenghao

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

Chen, Shengxian

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

Chen, Shijing

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

Chen, Siqi

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Chen, Tao

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification
• Cross-Modal Graph Learning for Perivascular Spaces Segmentation
• Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

Chen, Terrence

• PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis
• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Chen, Tianyi

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

Chen, Tingxuan

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

Chen, Tong

• WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference
• SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Chen, Wanyi

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

Chen, Weihong

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

Chen, Weilin

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

Chen, Weiyi

• T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Chen, Wen

• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Chen, Wenting

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Chen, Wenxuan

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

Chen, Xi

• Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation
• ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Chen, Xiang

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability
• Gaussian Primitive Optimized Deformable Retinal Image Registration
• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Chen, Xiangguang

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Chen, Xiao

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Chen, Xin

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks
• E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

Chen, Xu

• XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification
• Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Chen, Xuejin

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Chen, Yanbo

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

Chen, Yang

• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Chen, Yanlin

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Chen, Yaxi

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

Chen, Yen-Wei

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography
• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Chen, Yifei

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

Chen, Ying

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Chen, Yinran

• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
• A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging

Chen, Yixiong

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

Chen, Yizhou

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Chen, Yong

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

Chen, Yong-Sheng

• Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification

Chen, Yu

• Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

Chen, Yuanbin

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

Chen, Yufei

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

Chen, Yuhang

• Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Chen, Yundai

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Chen, Yuxi

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

Chen, Zan

• Bowsher prior Enhanced Unsupervised PET image Denoising
• A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Chen, Zeli

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
• Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Chen, Zhanghao

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

Chen, Zhaolin

• Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer
• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation
• D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

Chen, Zhen

• Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Chen, Zhengming

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Chen, Zhennong

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Chen, Zhensen

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Chen, Zhi

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

Chen, Zhibin

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

Chen, Zhichen

• Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

Chen, Zhiguang

• LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Chen, Zhihao

• Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

Chen, Zhixuan

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

Chen, Zhu

• CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

Chen, Zifan

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

Chen, Zige

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

Chen, Zijian

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

Chen, Ziyang

• Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

Chen, Ziyi

• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Cheng, Chun-Wun

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

Cheng, Erkang

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

Cheng, Guanwei

• MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Cheng, Hao

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

Cheng, Hsiu-Chi

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

Cheng, Jianhong

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

Cheng, Jiashu

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

Cheng, Jiayuan

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

Cheng, Jingliang

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

Cheng, Jun

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• Intra- and Cross-View Enhancement for OCTA Imaging
• Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data
• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Cheng, Kun

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

Cheng, Li

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Cheng, Shing Shin

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

Cheng, Tim Kwang-Ting

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

Cheng, Wangang

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

Cheng, Wenquan

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Cheng, Wensheng

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

Cheng, Yanqi

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

Cheng, Zhiwei

• NeRF-based CBCT Reconstruction needs Normalization and Initialization

Cheoi, Kyung Joo

• Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

Cherubini, Andrea

• Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

Cheung, Alison

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

Chhetri, Anju

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

Chi, Cheng

• A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

Cho, Enki

• Towards Holistic Surgical Scene Graph

Cho, Hwan-ho

• Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Cho, Hyuna

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

Cho, Jungkyung

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

Cho, Junwoo

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Cho, Sue Min

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

Cho, Sungzoon

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

Cho, Tae-Hee

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

Cho, Yeongjae

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

Cho, Young-Rae

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

Chobola, Tomáš

• Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

Choi, Heeyoul

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

Choi, Hyewon

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

Choi, Hyoungshin

• PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency
• Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Choi, Jang-Hwan

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

Choi, Kyu Sung

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

Choi, Sun

• Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Choi, Yoonseok

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

Cholakkal, Hisham

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

Chong, Winston

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Choo, Hyunseung

• Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Choo, Kyobin

• PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification
• Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Chopra, Sumit

• Harnessing Side Information for Highly Accelerated MRI

Choudhuri, Anwesa

• PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Chouvarda, Ioanna

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

Chowdary, G. Jignesh

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

Christensen, Anders N.

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

Christodoulidis, Stergios

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Christodoulou, Anthony G.

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

Chu, Lingyang

• MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Chu, Mengxiang

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

Chu, Surong

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

Chu, Wei

• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Chu, Xiaowen

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

Chu, Yanfen

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

Chu, Yuetan

• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Chu, Yuhui

• RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Chun, Se Young

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

Chung, Brandon V.

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Chung, Hyungjin

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

Chung, Jiwon

• RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
• PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency

Chung, Minyoung

• Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Chung, Woojin

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

Chung, Yunsung

• SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Clarkson, Matthew J.

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

Cleary, Jon

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Clement, Allison

• Confidence in Angle Predictions for Clinical Decision Support

Clifford, Bryan

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

Colacci, Michael

• Advancing Medical Representation Learning Through High-Quality Data

Collins, Toby

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Colombo Serra, Sonia

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

Cong, Cong

• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
• FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality
• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Cong, Fengyu

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
• Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
• Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Cong, Jing

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Connor, Peter S.

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

Contreras, Miguel

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

Cool, Derek W.

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

Cooper, Rosalin

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Cootes, Timothy

• Deep Learning-based Alignment Measurement in Knee Radiographs

Coubez, Xavier

• PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Crinion, Jenny

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

Crispin-Ortuzar, Mireia

• Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Croisille, Pierre

• Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Cui, Beilei

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Cui, Hengfei

• SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation
• Personalized Federated Side-Tuning for Medical Image Classification
• CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Cui, Honghao

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

Cui, Jiahao

• Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Cui, Jian

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

Cui, Jianan

• Bowsher prior Enhanced Unsupervised PET image Denoising

Cui, Jiaqi

• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Cui, Kangning

• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
• Blind Restoration of High-Resolution Ultrasound Video

Cui, Ligang

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

Cui, Lizhen

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Cui, Mingyue

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Cui, Ruize

• Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Cui, Wenju

• Paired Image Generation with Diffusion-Guided Diffusion Models

Cui, Xiaoxiao

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Cui, Yawen

• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Cui, Yuxin

• Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Cui, Zhiming

• Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion
• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images
• Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
• A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

Cui, Zhuo-Xu

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Cula, Gabriela

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

Cullen, Dominic

• Deep Learning-based Alignment Measurement in Knee Radiographs

Curran, Kathleen M.

• Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation
• Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Czempiel, Tobias

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

Dabboussi, Mohamad

• Self-Supervised Multiview Xray Matching

Dadi, Kamalaker

• Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge

Dager, Stephen R.

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

Dai, Boyang

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

Dai, Duwei

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Dai, Jian

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

Dai, Jingguo

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

Dai, Lihuan

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Dai, Ling

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

Dai, Linrui

• LesionDiffusion: Towards Text-controlled General Lesion Synthesis

Dai, Lisong

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

Dai, Pengyu

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

Dai, Yuwei

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

Daida, Atsuro

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

Dall’Alba, Diego

• PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Daly, Connor

• Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Dan, Mai

• RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Dan, Ruilong

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

Dan, Tingting

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

Dancette, Corentin

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

Daneshjou, Roxana

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

Dang, Kang

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Dang, Thao M.

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Dannecker, Maik

• Predicting Longitudinal Brain Development via Implicit Neural Representations

Dao, Son Duy

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Darwish, Omar

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

Das, Ankit

• MedGCD: Generalized Category Discovery in Medical Imaging

Das, Jyotipriya

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

Dasdelen, Muhammed Furkan

• CytoSAE: Interpretable Cell Embeddings for Hematology

Dasgupta, Prokar

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

Dashtbozorg, Behdad

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Datta, Suvrankar

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

Davey, Catherine

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

Davidson, Andrea

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

Davies, Rhodri

• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Davis, Carolyn

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

Davydov, Nikita

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

Dawood, Muhammad

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Dayarathna, Sanuwani

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

De Feo, Riccardo

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

De Moor, Bart

• Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

De Neve, Wesley

• SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification
• Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

De Sousa Ribeiro, Fabio

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
• CF-Seg: Counterfactuals meet Segmentation

De Winne, Jens

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

DeSilvio, Thomas

• Mutual Information Regularization for Fairness-aware Deep Imaging Representations

Deb, Swakshar

• Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Decherchi, Sergio

• Learning Segmentation from Radiology Reports

Delaloye, Antoine

• NIMOSEF: Neural implicit motion and segmentation functions

Deleat-Besson, Romain

• Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Delingette, Hervé

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

Delrieux, Claudio

• VesselGPT: Autoregressive Modeling of Vascular Geometry

Demir, Başar

• Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

Deng, Hannah H.

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Deng, Jiaxiao

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Deng, Jingjing

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

Deng, Kai

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

Deng, Ruining

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

Deng, Sen

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

Deng, Xiang

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

Deng, XinYu

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

Deng, Xuedong

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

Deng, Zhaohong

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

Deng, Zhigang

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Desrosiers, Christian

• Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Deutges, Michael

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

Dewey, Blake E.

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

Dey, Neel

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

Dhaliwal, Kevin

• Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression
• BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Dhamale, Vivek

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

Dharia, Rohan

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Di Ieva, Antonio

• FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI
• FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Di Ruberto, Cecilia

• RedDino: A foundation model for red blood cell analysis

Di Salvo, Francesco

• Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Di, Donglin

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Di, Yicheng

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

Diamantaras, Konstantinos

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

Diao, Yueqin

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

Diaz, Oliver

• Single Image Test-Time Adaptation via Multi-View Co-Training
• Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Diaz, Sebastian

• Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Dillard, Laurent

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Ding, Amanda

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

Ding, Guodong

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Ding, Hao

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Ding, Jiaman

• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Ding, Meidan

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Ding, Qingpeng

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

Ding, Shuaipeng

• MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
• ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

Ding, Weiping

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

Ding, Wenhao

• Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Ding, Xiaohuan

• TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

Ding, Yuanyi

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

Ding, Zhengyao

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
• DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

Ding, Zhifeng

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

Dinh, Viet Sang

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

Dippel, Jonas

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Distler, Marius

• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Djoumessi, Kerol

• Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning

Do, Tien Dung

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

Docea, Reuben

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Dolatabadi, Elham

• Advancing Medical Representation Learning Through High-Quality Data

Dolz, Jose

• Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
• Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
• Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.
• Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Dong, Ankai

• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Dong, Bin

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
• Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Dong, Caixia

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Dong, Danyang

• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Dong, Di

• TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction
• CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Dong, Heming

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

Dong, Jie

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

Dong, Le

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Dong, Lingyan

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Dong, Ruihai

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

Dong, Shunjie

• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Dong, Suyu

• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Dong, Weihong

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

Dong, Weisheng

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Dong, Wenzhen

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Dong, Xia

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

Dong, Xiang

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

Dong, Xiuyu

• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Dong, Yaoxian

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

Dong, Yi

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

Dong, Yiheng

• CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis

Dong, Yihong

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

Donnelly, Jon

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

Doorenbos, Lars

• Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Dop, Nicolas

• Distilling foundation models for robust and efficient models in digital pathology

Dou, Hao

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

Dou, Haoran

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Dou, Qi

• Surgical Action Planning with Large Language Models
• Medical Large Vision Language Models with Multi-Image Visual Ability
• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
• CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning
• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Dou, Yong

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

Drexlin, David Jacob

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Drimalla, Hanna

• Improving Autism Detection with Multimodal Behavioral Analysis

Du, Anghong

• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Du, Bo

• Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation
• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis
• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference
• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Du, Chenlin

• Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Du, Congwu

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

Du, Dianrong

• CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Du, Hanyu

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

Du, Honghui

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

Du, Jennifer

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Du, Lei

• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Du, Mubai

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

Du, Shaoyi

• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis
• Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Du, Xiaofei

• Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance

Du, Yao

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
• CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

Du, Yuetian

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

Du, Yuexi

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

Du, Yuhui

• Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks
• A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

Du, Yuxin

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

Du, Zetao

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

Duan, Chenda

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

Duan, Fan

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

Duan, Haoran

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

Duan, Jinming

• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Duan, Lixin

• Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification
• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Duan, Minghong

• Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Duan, Wenting

• Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Duan, Xiaohui

• 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
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Duan, Yaofei

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Duan, Yuting

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

Duan, Yuying

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Dubois, Rémy

• Distilling foundation models for robust and efficient models in digital pathology

Duchateau, Nicolas

• Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Duchesnay, Edouard

• Does Connectome Harmonic Analysis pass the Spin Test?

Duelmer, Felix

• UltrON: Ultrasound Occupancy Networks
• UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation

Dufumier, Benoît

• Does Connectome Harmonic Analysis pass the Spin Test?

Duncan, James S.

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Duong , Viet Hung

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

Duran, Audrey

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

Durr, Nicholas J.

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

Dutta, Arindam

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

Dutta, Bikash

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

Dutta, Srinjoy

• Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

Dutta, Tapas K.

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

Dutta, Usha

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

Dvornek, Nicha C.

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

Dzikunu, Obed

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Dziobek, Isabel

• Improving Autism Detection with Multimodal Behavioral Analysis

D’Alberti, Elena

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

D’Souza, Niharika

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

Eaton, Eric

• Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Ebert, Florian

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Eck, Ulrich

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

Eckstein, Katharina

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

Ehm, Viktoria

• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
• Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Eibenberger, Eva

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

Eichner, Cornelius

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

Eijpe, Aniek

• Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Ekanayake, Jinendra

• Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Ekanayake, Mevan

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

Ekenel, Hazım Kemal

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

Eksi, Ece

• Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

El Nahhas, Omar S. M.

• Abnormality-Driven Representation Learning for Radiology Imaging

El-Sheimy, Naser

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

Elazab, Ahmed

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Elbarbary, Karim Khalifa

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

Elbatel, Marawan

• Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model
• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Elghareb, Tarek

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Elhoseiny, Mohamed

• Temporal Model-Based Federated Active Medical Image Classification

Elison, Jed T.

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

Elsayed, Ayman

• MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
• DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
• ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Elson, Daniel S.

• Towards Markerless Intraoperative Tracking of Deformable Spine Tissue
• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
• SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Endo, Hidenori

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

Eom, Heeseong

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

Epstein, Frederick H.

• Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Erdal Cesur, Melis

• Training state-of-the-art pathology foundation models with orders of magnitude less data
• Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Erdil, Ertunc

• Conformal forecasting for surgical instrument trajectory

Erdur, Ayhan Can

• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
• Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Erick, Franciskus Xaverius

• Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Esmaeilzadeh, Elyar

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

Esper, Annette

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

Espinel, Yamid

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

Esposito, Salvatore

• VesselSDF: Distance Field Priors for Vascular Network Reconstruction

Essert, Caroline

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

Essofi, Abdelmajid

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

Estes, Annette M.

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

Etemad, Ali

• Advancing Medical Representation Learning Through High-Quality Data

Evangelista, Davide

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

Evans, Alan C.

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

Evans, Linton T.

• Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Eversmann, Lola

• Improving Autism Detection with Multimodal Behavioral Analysis

Fagotti, Anna

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

Faisan, Sylvain

• PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Fakharzadeh, Steven

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

Falahkheirkhah, Kianoush

• Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Falcetta, Daniele

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
• One-shot active learning for vessel segmentation

Fallah, Yaser Pourmohammadi

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

Fallahpour, Adibvafa

• Advancing Medical Representation Learning Through High-Quality Data

Fallis, Simon

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

Fan, Chao

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
• Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

Fan, Chenchen

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

Fan, Fenglei

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

Fan, Fuxin

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

Fan, Heng

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

Fan, Jiansong

• Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images
• Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction
• Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation
• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Fan, Jingfan

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Fan, Kailong

• IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Fan, Lei

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Fan, Linqian

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

Fan, Mengnan

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

Fan, Ninghan

• Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Fan, Wenkang

• Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation
• Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation
• Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Fan, Wenrui

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

Fan, Wentao

• PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Fan, Xiaomao

• Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis
• Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Fan, Xiaoyao

• Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Fan, Xin

• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Fan, Xinqi

• Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Fan, Xuwei

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

Fan, Yimeng

• 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
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Fan, Yuheng

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Fan, Zeng

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

Fan, Zhaoyang

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

Fan, Zhiyuan

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

Fan, Zhun

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Fang, Congyu

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

Fang, Hao

• Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation
• Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Fang, Huihui

• Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
• Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

Fang, Mengjie

• TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction
• CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Fang, Ruogu

• OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

Fang, Songke

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

Fang, Wei

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

Fang, Wenzhuo

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

Fang, Xiaocheng

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

Fang, Xingkai

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

Fang, Yuqi

• Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction
• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

Farahani, Somayeh

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

Farina, Juan Maria

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

Farooq, Aiman

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

Farooq, Hasan

• Localization Lens for Improving Medical Vision-Language Models

Farshad, Azade

• HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation
• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Fazio, Timothy

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

Fecso, Ronald

• RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Fehrentz, Maximilian

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

Fei, Hongwen

• EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Fei, Manman

• Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Fei, Yuchen

• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Feiweier, Thorsten

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

Feldman, Paula

• VesselGPT: Autoregressive Modeling of Vascular Geometry

Fellmann, Léon

• Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

Fels, Sidney

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

Feng, Bin

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

Feng, Chun-Mei

• Temporal Model-Based Federated Active Medical Image Classification

Feng, Guanyuan

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

Feng, Jiadong

• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Feng, Jianhui

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

Feng, Jingxi

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

Feng, Jun

• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Feng, Mengling

• No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling
• BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

Feng, Ming

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes
• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Feng, Na

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

Feng, Qianjin

• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising
• Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Feng, Qingmin

• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Feng, Rong

• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Feng, Rui

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Feng, Siwei

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

Feng, Siyang

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Feng, Tianchao

• Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

Feng, Yang

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

Feng, Yidan

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

Feng, Yongxuan

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

Feng, Yuanjing

• Bowsher prior Enhanced Unsupervised PET image Denoising

Feng, Zetian

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Feng, Zexin

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

Feng, Zhan

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

Feng, Zhenghao

• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

Fenster, Aaron

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

Feragen, Aasa

• Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound
• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Ferreres, Elodie

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

Feuerhake, Friedrich

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

Feydy, Jean

• Untangling Vascular Trees for Surgery and Interventional Radiology

Ficarra, Elisa

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
• IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Figini, Matteo

• Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Filiot, Alexandre

• Distilling foundation models for robust and efficient models in digital pathology

Finck, Marten J.

• Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Finkelstein, Mark

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Fleishman, Greg M.

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

Fletcher, P. Thomas

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

Floca, Ralf

• The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Flühmann, Tim

• Subgroup Performance Analysis in Hidden Stratifications

Fogarollo, Stefano

• Implicit Deformable Medical Image Registration with Learnable Kernels

Fontana, Sabina

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Fooladgar, Fahimeh

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Forde, Colm

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

Forest, Thomas

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

Forghani, Reza

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

Forkert, Nils D.

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

Foster, Emma

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

Fournel, Joris

• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Fournier, Lisa

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Frangi, Alejandro F.

• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Frantzen, Maximilian

• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Franzen, Jannik

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Frazee, Katherine

• Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Freeman, William R.

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Freiman, Moti

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

French, Jacqueline

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

Friedrich, Corentin

• Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Frindel, Carole

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

Frisch, Yannik

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

Friswell, Mark

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

Fritz, Mario

• Automated Detection of Abnormalities in Zebrafish Development

Frossard, Pascal

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Froyman, Wouter

• Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Fu, Guohong

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

Fu, Huazhu

• Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
• Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
• No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling
• MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
• Cycle Context Verification for In-Context Medical Image Segmentation

Fu, Jia

• UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model
• SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Fu, Juan

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Fu, Junhu

• VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Fu, Kaiwen

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

Fu, Peiyao

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

Fu, Renyu

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

Fu, Tianyu

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Fu, Xianjun

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Fu, Xueming

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Fu, Yili

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Fu, Yingji

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

Fu, Yu

• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction
• Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Fu, Yunguan

• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Fu, Zeyu

• Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Fua, Pascal

• Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling
• DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Fuchs, Thomas J.

• A flexible deep learning framework for survival analysis with medical data

Fudalej, Piotr

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

Funke, Isabel

• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Gadoux, Emilien

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

Gai, Xiaotang

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

Galati, Francesco

• One-shot active learning for vessel segmentation

Galbán, Craig J.

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

Gamage Nanayakkara, Dinusara Sasindu

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

Gan, Daisong

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

Gan, Fan

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

Gan, Shushen

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

Gan, Tianyuan

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

Gan, Zhikun

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation

Gao, Chong

• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

Gao, Feng

• FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images
• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Gao, Jean

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Gao, Jiakang

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

Gao, Jie

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Gao, Jinlong

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

Gao, Jun

• D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Gao, Lei

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Gao, Linlin

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

Gao, Mengze

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

Gao, Mingqi

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

Gao, Shang

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2
• BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Gao, Shangde

• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
• Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Gao, Shangqi

• Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Gao, Shenghua

• Intra- and Cross-View Enhancement for OCTA Imaging

Gao, Shujian

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

Gao, Shuo

• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Gao, Sicong

• Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

Gao, Tianyu

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

Gao, Wenbo

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

Gao, Wenpeng

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images
• Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

Gao, Xiaoru

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

Gao, Xin

• SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds
• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images
• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Gao, Xinbo

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

Gao, Xingyu

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

Gao, Xinru

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

Gao, Xueqing

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

Gao, Yang

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

Gao, Yaozong

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

Gao, Yibo

• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Gao, Yifan

• SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
• EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Gao, Yuan

• Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
• EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Gao, Yue

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
• Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
• Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis
• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Gao, Yuhan

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

Gao, Yunhe

• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Gao, Zheyao

• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Gao, Zhibin

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

Gao, Zhizezhang

• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Gao, Zhongpai

• PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Gao, Zhuangzhi

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

Gao, Zijun

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

Gao, Zu-hua

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

Garaaghaji, Ehsan

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

Garic, Dea

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

Garrucho, Lidia

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

Gateno, Jaime

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Gautam, Chandan

• MedGCD: Generalized Category Discovery in Medical Imaging

Ge, Chaoyang

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

Ge, Jia

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

Ge, Rongjun

• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Ge, Ruiquan

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Ge, Yong

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Ge, Yuyan

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

Ge, Zongyuan

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation
• Delving into Out-of-Distribution Detection with Medical Vision-Language Models
• Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Geng, Daoying

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

Geng, Feng

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

Geng, Qing

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Georgantas, Costa

• NIMOSEF: Neural implicit motion and segmentation functions

George, Daniel

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

George, Yasmeen

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Georgescu, Bogdan

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Gerber, Samuel

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

Gerig, Guido

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

Germani, Elodie

• Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Geysels, Axel

• Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Gharib, Omar A. M.

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

Ghazaei, Ghazal

• SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis
• CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

Ghesu, Florin-Cristian

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

Giannarou, Stamatia

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

Gibson, Eli

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

Gilani, Syed Zulqarnain

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
• A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

Giovanello, Kelly S.

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

Girault, Jessica B.

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

Giske, Kristina

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Glocker, Ben

• UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
• CF-Seg: Counterfactuals meet Segmentation
• Automatic dataset shift identification to support safe deployment of medical imaging AI

Glynn, Andrea

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

Glüer, Claus-C.

• Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Godau, Patrick

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

Goh, Rick Siow Mong

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

Golbabaee, Mohammad

• Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Golden, Daniel

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

Gole, Akshay

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

Golhar, Mayank

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

Golland, Polina

• Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
• Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Gong, Bingxin

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

Gong, Chen

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

Gong, Jin

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Gong, Jing

• HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Gong, Jinu

• Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Gong, Shaogang

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

Gong, Tan

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

Gong, Yongyi

• DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

Gong, Zhiying

• 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

Gonzalez-Jimenez, Alvaro

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Goodale, Sarah E.

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

Gopinath, Karthik

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

Gori, Pietro

• Self-Supervised Multiview Xray Matching
• Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Gotkowski, Karol

• Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Gottfrois, Philippe

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Gou, Hao

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

Gou, Zhongshan

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Goujat, Celia

• Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Gousseau, Yann

• Self-Supervised Multiview Xray Matching

Govindarajan, Sandhya

• Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Graf, Robert

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

Graikos, Alexandros

• Pathology Image Compression with Pre-trained Autoencoders

Grana, Costantino

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
• IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Granados, Alejandro

• World Model for AI Autonomous Navigation in Mechanical Thrombectomy
• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Grant, P. Ellen

• Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
• Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Grau, Vicente

• An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Grbic, Sasa

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Greenspan, Hayit

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

Greer, Hastings

• Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

Griffin, Xavier

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

Grigis, Antoine

• Does Connectome Harmonic Analysis pass the Spin Test?

Grimm, Lars J.

• MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Grolig, Julian

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

Gross, Markus

• Multi-Linear 3D Craniofacial Infant Shape Model

Grzadzinski, Rebecca

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

Grzeszczyk, Michal K.

• RegScore: Scoring Systems for Regression Tasks
• GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

Gröger, Fabian

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Gu, Chaochen

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

Gu, Difei

• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Gu, Jin

• The Refining of Brain Connectivity Features on Residual Posterior Patterns

Gu, Jincheng

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

Gu, Jingjun

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

Gu, Lixu

• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Gu, Shenjian

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Gu, Yannian

• Interactive Segmentation and Report Generation for CT Images

Gu, Yi

• Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction
• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Gu, Yuliang

• Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation
• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Gu, Zaiwang

• Intra- and Cross-View Enhancement for OCTA Imaging
• Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Gual Ramon, Jaume

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

Guan, Haoyue

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

Guan, Xiaohang

• Towards Automated Pediatric Dental Development Staging: A Dataset and Model

Guan, Xiaoyuan

• Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Guan, Xinping

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

Guan, Zhenghua

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

Guan, Ziyuan

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

Guendelman, Simon

• Improving Autism Detection with Multimodal Behavioral Analysis

Guo, Bowen

• VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Guo, Chenxu

• Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction

Guo, Daqing

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Guo, Dazhou

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

Guo, Erjian

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

Guo, Heng

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

Guo, Hongbo

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

Guo, Jia

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Guo, Jianlin

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

Guo, Jiarong

• CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

Guo, Jiaxin

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Guo, Jie

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

Guo, Jinming

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Guo, Jintao

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

Guo, Jun

• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Guo, Kangwei

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Guo, Limei

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Guo, Mengxiang

• Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

Guo, Ning

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

Guo, Pengfei

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Guo, Rui

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Guo, Runyi

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

Guo, Weidong

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

Guo, Weiwei

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

Guo, Xiaojuan

• Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification
• Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Guo, Xiaotong

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Guo, Xin

• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Guo, Xu

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Guo, Yan

• T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Guo, Yi

• VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation
• FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

Guo, Yichen

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

Guo, Yin

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Guo, Yong

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

Guo, Yongxin

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

Guo, Yuhao

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

Guo, Yuping

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Guo, Yuxing

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

Guo, Yuzhi

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Gupta, Pankaj

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

Gurkahraman, Kali

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

Gurudu, Archana

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

Gurung, Ram B.

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

Gutbrod, Max

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

Gyawali, Prashnna

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

Gómez, Martín

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

Gónzalez, Fabio A.

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

Göbl, Rüdiger

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

Götz, Michael

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

Götze, Katharina S.

• CytoSAE: Interpretable Cell Embeddings for Hematology

Hacihaliloglu, Ilker

• Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
• CENet: Context Enhancement Network for Medical Image Segmentation

Hadar, Peter

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

Hadzic, Arnela

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

Haeffele, Benjamin D.

• Adaptive Stain Normalization for Cross-Domain Medical Histology

Hagerman, David

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

Hajimiri, Sina

• Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Hallaji Azad, Farzad

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

Hamada, Hidetoshi

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Hamm, Jihun

• SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Hammers, Alexander

• Supervised Diffusion-Model-Based PET Image Reconstruction

Hamzehei, Sahand

• Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Han, Hua

• Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Han, Hyunkyung

• Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Han, Ji Yong

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Han, Ji-Wung

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

Han, Kai

• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Han, Kun

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

Han, Linxuan

• Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Han, Luyi

• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement
• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Han, Tong

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Han, Wenchao

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

Han, Woojung

• PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
• Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

Han, Xiangmin

• Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction
• Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis
• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Han, Xinyi

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Han, Xu

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
• PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Han, Yikai

• DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance

Han, Yuchi

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Hang, Yueqin

• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Hansen, Stine

• Tied Prototype Model for Few-Shot Medical Image Segmentation
• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Hao, Chao

• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Hao, Jiacheng

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

Hao, Jindou

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

Hao, Pengfei

• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

Hao, Qin

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

Hao, Qun

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

Hao, Shuang

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Hao, Teqi

• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Hao, Xiaohan

• MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Hao, Xiaoke

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

Hao, Xinyu

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
• Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
• Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Haouchine, Nazim

• Towards Patient-Specific Deformable Registration in Laparoscopic Surgery
• BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Hardan, Shahad

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

Harders, Matthias

• Implicit Deformable Medical Image Registration with Learnable Kernels

Hareendranathan, Abhilash

• Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Hargunani, Rikin

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

Harmanani, Mohamed

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Hashemi, Nima

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Hashemi, Sam

• ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Hashimoto, Daniel A.

• Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Hashimoto, Noriaki

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Hassan, Ghulam Mubashar

• Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Hassan, Salma

• MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
• DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
• ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Hassidim, Avinatan

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

Hatami, Nima

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

Hatsukami, Thomas S.

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Hayashi, Yuichiro

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

Hazlett, Heather C.

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

He, Along

• Towards Automated Pediatric Dental Development Staging: A Dataset and Model

He, Chao

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

He, Dongdong

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

He, Gengyu

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

He, Guanghua

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

He, Hangzhou

• Training-free Test-time Improvement for Explainable Medical Image Classification

He, Hongliang

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

He, Jia

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

He, Jiayi

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

He, Junjun

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
• HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

He, Kai

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
• BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

He, Lifang

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

He, Liuyuan

• A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

He, Mengshen

• MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

He, Mengxian

• Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks
• CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

He, Min

• Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

He, Muzhen

• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI

He, Ping

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

He, Rongzhao

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

He, Shidan

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

He, Shihuan

• Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

He, Shiqi

• MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

He, Xiangjian

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

He, Xiaowei

• T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS
• GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

He, Xingyu

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

He, Yijiang

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

He, Yili

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

He, Yong

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

He, Yuanzhe

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

He, Zefeng

• Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

He, Zhihui

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

He, Zhiyang

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

He, Zhu

• D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Heber, Ulrike

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

Heidrich, Holger

• Learning Disease State from Noisy Ordinal Disease Progression Labels

Heiliger, Christian

• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Heiliger, Thomas

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

Hein, Matthias

• Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Heinke, Anna

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Heiselman, Jon

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Hejazi, Marjaneh

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

Helbich, Thomas H.

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

Heng, Pheng-Ann

• Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
• Medical Large Vision Language Models with Multi-Image Visual Ability
• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Hengel, Anton van den

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

Hennemuth, Anja

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Hennersperger, Christoph

• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Hense, Julius

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Heo, Chanyeong

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

Heo, Keun-Soo

• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Hernandez-Cruz, Netzahualcoyotl

• Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Herrmann, Jennifer

• Automated Detection of Abnormalities in Zebrafish Development

Herz, Sebastian

• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Hickler, Julia

• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Hillenhagen, Heiko

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

Hilton, Adrian

• Risk Estimation of Knee Osteoarthritis Progression via Predictive Multi-task Modelling from Efficient Diffusion Model using X-ray Images

Hoang, Manh-Hai

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Hoang, Trung-Dung

• Subgroup Performance Analysis in Hidden Stratifications

Hocquet, Guillaume

• Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Hodgson, Antony

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

Hodgson, Jonathan M.

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Hogenkamp, Maarten

• 6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Holland, Robbie

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

Holm, Felix

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

Holper, Sarah

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

Homma, Noriyasu

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

Hong, Charmgil

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

Hong, Gil-sun

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

Hong, Helen

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

Hong, Junpyo

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

Hong, Mingxuan

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

Hong, Xiaoming

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

Hong, Xiaoyan

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

Hong, Yang

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

Hong, Yuan

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Honjaya, Aaron

• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Honkamaa, Joel

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

Hontani, Hidekata

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Hoque, Mobarak I.

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
• Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Horlings, Hugo Mark

• Training state-of-the-art pathology foundation models with orders of magnitude less data

Hosseini, Abdullah

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

Hosseinzadeh Taher, Mohammad Reza

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

Hostettler, Alexandre

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Hothorn, Torsten

• A flexible deep learning framework for survival analysis with medical data

Hou, Haotian

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

Hou, Jia

• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Hou, Jingyang

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Hou, Junlin

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

Hou, Qingshan

• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Hou, Ruibo

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Hou, Wentai

• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Hou, Xiaorong

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

Houry, Guillaume

• Untangling Vascular Trees for Surgery and Interventional Radiology

Hsing-Yu, Kun

• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Hsu, Wen-Chi

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

Hu, Bin

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

Hu, Bo

• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Hu, Chao

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Hu, Dan

• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Hu, Daosong

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Hu, Enyuan

• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Hu, Hao

• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Hu, Huawen

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
• BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Hu, Jingliang

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Hu, Ming

• Temporal Model-Based Federated Active Medical Image Classification
• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

Hu, Qiang

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection
• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Hu, Qinjie

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

Hu, Renjiu

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Hu, Shishuai

• Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
• Cycle Context Verification for In-Context Medical Image Segmentation

Hu, Shurui

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

Hu, Wenbin

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

Hu, Wenzheng

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

Hu, Xiangyun

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

Hu, Xiaofei

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

Hu, Xiaoqing

• Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

Hu, Xingcan

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

Hu, Yang

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

Hu, Yibo

• RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration
• MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Hu, Yihuang

• Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Hu, Yilong

• UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Hu, Yingzi

• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Hu, Yipeng

• Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model
• Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images
• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Hu, Yujian

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Hu, Yuqi

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

Hu, Zhanli

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning
• BenchReAD: A systematic benchmark for retinal anomaly detection
• Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Hu, Zhisen

• Deep Learning-based Alignment Measurement in Knee Radiographs

Hua, Liujie

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Huan, Zihan

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Huang, Baoru

• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction

Huang, Bin

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

Huang, Bingsheng

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

Huang, Bingxin

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

Huang, Dianye

• Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Huang, Dingjiang

• A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

Huang, Fangrui

• Generating Novel Brain Morphology by Deforming Learned Templates

Huang, Feiyue

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

Huang, Guolin

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Huang, Hailiang

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Huang, Han

• T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Huang, Hanbin

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

Huang, Hao

• TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation
• Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Huang, Haolin

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Huang, Hengguan

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

Huang, Hong

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

Huang, Huimin

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

Huang, JiaJu

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

Huang, Jiaju

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Huang, Jian

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

Huang, Jiashuang

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

Huang, Jiaxing

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

Huang, Jie

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

Huang, Jing

• Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition

Huang, Jinghan

• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Huang, Jingjing

• Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

Huang, JunTao

• SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

Huang, Junzhou

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Huang, Kai

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Huang, Kaiwen

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

Huang, Lianfen

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

Huang, Lina

• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Huang, Luojie

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

Huang, Mu

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

Huang, Peixiang

• HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
• Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Huang, Peiyu

• Cross-Modal Graph Learning for Perivascular Spaces Segmentation

Huang, Peng

• VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Huang, Qilin

• LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Huang, Rui

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

Huang, Runlin

• PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Huang, Ruobing

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

Huang, Sharon X.

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Huang, Shiqi

• Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

Huang, Shuo

• Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis
• Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

Huang, Taoran

• EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Huang, Tianjin

• LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Huang, Tianyu

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Huang, Weitian

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

Huang, Wenhui

• MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba
• MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Huang, Wenqi

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

Huang, Xingyu

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

Huang, Xinyan

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

Huang, Xuping

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Huang, Yan

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
• Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Huang, Yanchao

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Huang, Yanhao

• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Huang, Yanyan

• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction
• HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
• Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Huang, Yawen

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

Huang, Yiming

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Huang, Yuan

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

Huang, Yuhao

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Huang, Yuliang

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

Huang, Zhen

• U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

Huang, Zhengxing

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
• DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

Huang, Zhenxing

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Huang, Zhongzhen

• Surgical Action Planning with Large Language Models

Huang, Zihang

• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
• TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization
• A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

Huang, Zixuan

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

Huang, Ziyan

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

Huard, Malo

• Self-Supervised Multiview Xray Matching

Hui, Chen

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Hui, Hui

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Huijben, Evi M. C.

• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Huo, Jiayu

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

Hussing, Marcel

• Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Huy, Ta Duc

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

Hwang, Dosik

• Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Hwang, Jeonghyun

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

Hwang, Minho

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

Hwang, Seong Jae

• PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
• Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
• Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Hyun, Sang-Hwan

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

Häggström, Ida

• Separable tissue representations for attributable risk prediction
• A flexible deep learning framework for survival analysis with medical data

Iarussi, Emmanuel

• VesselGPT: Autoregressive Modeling of Vascular Geometry

Ibragimov, Bulat

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

Ibragimova, Diliara

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

Ibrahim, Ahmed

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

Iglesias, Juan Eugenio

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

Ilivitzki, Anat

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

Im, Sio-Kei

• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Imanishi, Nobuaki

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Imran, Md Shah

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

Innocenzi, Chiara

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Ippolito, Matthew M.

• Adaptive Stain Normalization for Cross-Domain Medical Histology

Iranzo, Raúl

• EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

Isensee, Fabian

• Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Islam, Kh Tohidul

• Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer
• D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

Islam, Md Shazid

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

Isogawa, Mariko

• Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Ivanova, Aleksandra

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

Iñígo, Blanca

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

Jacokes, Zachary

• Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
• BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Jacquier, Alexis

• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Jaensch, Steffen

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

Jafrasteh, Bahram

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

Jagadeesan, Jayender

• Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Jailin, Clément

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

Jain, Mohit

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Jain, Pooja P.

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

Jain, Rahul Kumar

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Jamzad, Amoon

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Janardhan, Kyathanahalli

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

Janardhanan, Nirmal

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

Jang, Donggon

• Interpretable fMRI Captioning via Contrastive Learning

Jang, Eojin

• Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Jang, Hanbyol

• Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Jang, Jaeyoon

• CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

Jang, Jeong-Woo

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

Jang, Jinhyeok

• PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Jang, Joon

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

Jang, Kuk Jin

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

Janizek, Joseph D.

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

Janíčková, Ivana

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

Jaremko, Jacob

• Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Jaspers, Tim

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Jaume, Guillaume

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

Jawad, Abdul

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

Jaward, Mohamed Hisham

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

Jedynak, Bruno

• Unsupervised OCT image interpolation using deformable registration and generative models

Jenkins, Tiffany

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

Jenssen, Robert

• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Jeon, Yongjun

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

Jeon, Young Seok

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

Jeong, Hwihun

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

Jeong, Hyunsu

• R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Jeong, Ji-Hoon

• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
• EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Jeong, Jiwoong

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

Jeong, Minjae

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

Jha, Debesh

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

Ji, Bing

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

Ji, Boan

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

Ji, Guohua

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

Ji, Junzhong

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

Ji, Kangjun

• Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Ji, Wei

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

Ji, Wenbo

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

Ji, Xuantao

• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Ji, Yuanfeng

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Ji, Zexin

• Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Ji, Zhanghexuan

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

Ji, Zhengyang

• BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Ji, Zongrui

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

Jia, Baoping

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

Jia, Chen

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

Jia, Chenjie

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

Jia, Dan

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Jia, Fucang

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

Jia, Minqiang

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

Jia, Weiming

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

Jia, Xibin

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

Jia, Yan

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

Jia, Yifan

• BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Jiang, Bo

• SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease
• Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Jiang, Caiwen

• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images
• BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration
• A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

Jiang, Chen

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

Jiang, Feng

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Jiang, Haiteng

• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis
• Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Jiang, Han

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

Jiang, Haotian

• SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
• Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Jiang, Hengyi

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

Jiang, Jimao

• DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance
• CS²C: Collaborative Spatial and Spectral Neural Clustering for Organelle Segmentation from Volumetric Electron Microscopy

Jiang, Jiwei

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Jiang, Junfeng

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Jiang, Lai

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

Jiang, Manxi

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

Jiang, Meng

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Jiang, Shancheng

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

Jiang, Shanzhi

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Jiang, Shu

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

Jiang, Shuo

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

Jiang, Songtao

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

Jiang, Tianzi

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction
• Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Jiang, Weili

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

Jiang, Wenzong

• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Jiang, Xixi

• TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
• ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization

Jiang, Yiwen

• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Jiang, Yixing

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

Jiang, Yixuan

• Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Jiang, Yong

• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Jiang, Yuncheng

• 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
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Jiang, Zhengang

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

Jiang, Zhengyong

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

Jiang, Zhifan

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Jiang, Zhongliang

• UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
• Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
• Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Jiang, Zhuangzhuang

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

Jiang, Zihang

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Jiao, Zhicheng

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

Jin, Chen

• Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Jin, Dakai

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Jin, Dongyang

• Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

Jin, Hairong

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

Jin, Haolong

• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Jin, Pengfei

• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Jin, Qiyu

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Jin, Seyong

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

Jin, Tao

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

Jin, Wei

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Jin, Whitney

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Jin, Yeying

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

Jin, Yueming

• ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
• Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
• BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Jin, Ze

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

Jin, Zhuo

• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Jing, Jin

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

Jing, Weipeng

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

Jo, Eunjung

• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Jo, Gyeongdeok

• Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

Jo, Wooyoung

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

Jogan, Matjaz

• Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Joham, Simon Johannes

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

Johansson, Lisa

• Separable tissue representations for attributable risk prediction

Johnson, David

• Deep Learning-based Alignment Measurement in Knee Radiographs

Jones, Charles

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

Jones, Craig

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

Jordan, Jakob

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Jose, Anusha

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

Joshi, Sarang

• Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Joshi, Smriti

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

Joutard, Samuel

• HyperSORT: Self-Organising Robust Training with hyper-networks

Joyce, Thomas

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

Ju, Dayun

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

Ju, Jianguo

• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Ju, Lie

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

Ju, Young-Gi

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

Jun, Youngjun

• PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification
• PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Junayed, Masum Shah

• Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Jung, Chung-Hwan

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

Jung, Jaehee

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

Jung, Kyu-Hwan

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

Jung, Sungyoon

• MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework

Jung, Sunyoung

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

Jung, Wooseok

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

Jäckel, Anna-Lisa

• Automated Detection of Abnormalities in Zebrafish Development

Jäkel, Oliver

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Kadoury, Samuel

• Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Kahl, Fredrik

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

Kain, Alec

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

Kainmüller, Dagmar

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Kainz, Bernhard

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
• Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Kajita, Hiroki

• Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Kalantari, Mohammad Mahdi

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

Kaleta, Joanna

• PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Kalinowski, Piotr

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

Kalkhof, John

• Equitable Federated Learning with NCA

Kalra, Mannudeep

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

Kalweit, Gabriel

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

Kalweit, Maria

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

Kam, Tae-Eui

• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning
• EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Kamaleswaran, Rishikesan

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

Kameda, Yuito

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Kampa, Björn

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

Kampffmeyer, Michael

• VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
• Tied Prototype Model for Few-Shot Medical Image Segmentation
• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Kamran, Sharif Amit

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

Kanamori, Masayuki

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

Kang, Bogyeong

• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Kang, Eunsong

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

Kang, Joonhyuk

• Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Kang, Junghwa

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

Kang, Kyungtae

• Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

Kang, Mingon

• Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

Kang, MungSoo

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

Kang, Myeongkyun

• Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Kang, Qingbo

• D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Kang, Susu

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Kang, Xiaoli

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Kannan, Arunkumar

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

Karakis, Ioannis

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

Karakis, Rukiye

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

Karami, Mostafa

• Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Karampinos, Dimitrios

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

Karaoglu, Mert Asim

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

Karasikov, Mikhail

• Training state-of-the-art pathology foundation models with orders of magnitude less data

Karlas, Angelos

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

Kasaei, Mohammadreza

• BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Kather, Jakob Nikolas

• Abnormality-Driven Representation Learning for Radiology Imaging

Kato, Yuna

• Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Katz, Ian

• UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

Kauczor, Hans-Ulrich

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

Kaufman, Arie

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

Kavasidis, Isaak

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Kaviani, Parisa

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

Kavoussi, Nicholas L.

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
• From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training

Ke, Wei

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

Ke, Yiping

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

Keane, Pearse A.

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

Kee, Youngwook

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

Keeza, Yvonne

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Kellman, Peter

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Kessler, Dimitri

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

Khadem, Mohsen

• Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression
• BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Khallaghi, Siavash

• ProgreSpine: Inherently Explainable Prototypical Regression for Spine Age Estimation

Khan, Fahad Shahbaz

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

Khan, Salman

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

Khanal, Bidur

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

Khanal, Bishesh

• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Khazaie, Vahid Reza

• Advancing Medical Representation Learning Through High-Quality Data

Khlaut, Julien

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

Khosravi, Pooya

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

Khoury, Brandon

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Killeen, Benjamin D.

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

Kilmer, Ethan

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

Kim, Bogeun

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

Kim, Boosung

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

Kim, Chanyoung

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

Kim, Chulhong

• R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Kim, Daeseung

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Kim, Daeshik

• Interpretable fMRI Captioning via Contrastive Learning

Kim, Daesung

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

Kim, Dahee

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Kim, Dong-Hyun

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

Kim, Harim

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

Kim, Ho-Jung

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

Kim, Hye Jung

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

Kim, Hyeon Bae

• SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

Kim, Hyeongji

• Tied Prototype Model for Few-Shot Medical Image Segmentation

Kim, Hyeonmin

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

Kim, Hyun-Woo

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

Kim, Hyunwoong

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

Kim, Jaeil

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

Kim, Jaeyoung

• Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

Kim, Jihwan

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

Kim, Jinkyu

• Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Kim, Jinyeong

• Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
• Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Kim, Jiwon

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

Kim, JongWoo

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

Kim, Jonghun

• Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
• PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency
• Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Kim, Jung Yong

• Towards Holistic Surgical Scene Graph

Kim, Junha

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Kim, Ka Young

• Towards Holistic Surgical Scene Graph
• SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition

Kim, Kiduk

• R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Kim, Kyungsu

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

Kim, Minjeong

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

Kim, Namkug

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

Kim, Saejin

• Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Kim, Sangmook

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

Kim, Sangwook

• Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
• EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

Kim, Sekeun

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Kim, Seong Tae

• Towards Holistic Surgical Scene Graph
• SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
• PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Kim, Seongjun

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

Kim, Seunghoi

• Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Kim, Sewon

• Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Kim, So Hyun

• Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Kim, Soopil

• Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Kim, Sujeong

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Kim, Sun Hyung

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

Kim, Sung Hun

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

Kim, Sunghun

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

Kim, Sunjung

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Kim, Taehyeon

• Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Kim, Taesoo

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Kim, Taewon

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Kim, Won Hwa

• MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
• MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework
• Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI
• DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine
• Conditional Graph Diffusion with Topological Constraints for Brain Network Generation
• Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction

Kim, Youjin

• Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Kim, Youngmin

• Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

King, Andrew P.

• Supervised Diffusion-Model-Based PET Image Reconstruction

Kirkegaard, Julius B.

• Spline refinement with differentiable rendering

Kirsch, Simon

• Improving Autism Detection with Multimodal Behavioral Analysis

Kirscher, Tristan

• PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Kirschke, Jan

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

Kishi, Kazuo

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Kitahara, Itaru

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

Kitasaka, Takayuki

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

Klauschen, Frederick

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Klausmann, Leonard

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

Klein, John

• Robust sensitivity control in digital pathology via tile score distribution matching

Klodmann, Julian

• KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Ko, Jaepil

• Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

Ko, Seonghyeon

• Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Ko, Young Sin

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

Koch, Lisa M.

• Subgroup Performance Analysis in Hidden Stratifications

Kochunov, Peter

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

Koelzer, Viktor H.

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Kok, Christopher

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

Kolahi, Sina Ghorbani

• CENet: Context Enhancement Network for Medical Image Segmentation

Kolbinger, Fiona

• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Komodakis, Nikos

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

Konan, Sujith

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

Kong, Jinwei

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

Kong, Lingyao

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

Kong, Ming

• Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
• Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Kong, Qingpeng

• NeRF-based CBCT Reconstruction needs Normalization and Initialization

Kong, Yan

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

Kono, Sotaro

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Konstantin, Mirko

• Equitable Federated Learning with NCA

Konukoglu, Ender

• Conformal forecasting for surgical instrument trajectory
• Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Koohi-Moghadam, Mohamad

• MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Kook, Lucas

• A flexible deep learning framework for survival analysis with medical data

Koreuber, Nora

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Korhonen, Jari

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

Korzeniowski, Przemysław

• PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
• GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

Koser, Niklas C.

• Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Koush, Yury

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

Kovacs, Balint

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Kreher, Björn

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

Krembs, Luke

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Krief, Gaspard

• Multi-Linear 3D Craniofacial Infant Shape Model

Krishnamoorthy, Murali

• Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Krist, Lilian

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

Krumb, Henry John

• Equitable Federated Learning with NCA

Kuang, Haomin

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Kuang, Hulin

• VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
• Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
• MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Kuang, Junhua

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Kuang, Tianshu

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Kuang, Xiaodong

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Kui, Xiaoyan

• Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Kuiper, Gino

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Kujawa, Aaron

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

Kumar, Amar

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

Kumar, Anand T. N.

• Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Kumar, Atin

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

Kumar, Komal

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

Kumaralingam, Logiraj

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Kumari, Pratibha

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

Kumari, Suruchi

• Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness
• Addressing Label Scarcity and Domain Shift in Medical Image Segmentation

Kunanbayev, Kassymzhomart

• Interpretable fMRI Captioning via Contrastive Learning

Kunhimon, Shahina

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

Kurugol, Sila

• Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Kushibar, Kaisar

• Single Image Test-Time Adaptation via Multi-View Co-Training
• Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Kwak, Jin Tae

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

Kwak, Ki Hoon

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

Kwan, Patrick

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

Kway, Yeshe

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

Kwon, Doeyoung

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

Kwon, Junmo

• Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Kwon, Junseok

• Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Kächele, Jessica

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

Känzig, Nicolas

• Training state-of-the-art pathology foundation models with orders of magnitude less data

Küstner, Thomas

• Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Ladikos, Alexander

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

Lahiri, Rimita

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

Lai, Haoran

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Lai, Jiahao

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Lai, Runhe

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

Laimer, Gregor

• Implicit Deformable Medical Image Registration with Learnable Kernels

Lajoinie, Guillaume

• Steerable Anatomical Shape Synthesis with Implicit Neural Representations

Lakbir, Soufyan

• Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Lalush, David S.

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

Lam, Chan-Tong

• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

Lam, Chi Kin

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

Lam, Saikit

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

Lan, Liantao

• Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

Lan, Lizhen

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

Lan, Meng

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

Lan, Mengcheng

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

Lan, Rushi

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Lan, Tianzhong

• Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

Lang, Daniel M.

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

Langs, Georg

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

Lao, Qicheng

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation
• D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Laousy, Othmane

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Lartizien, Carole

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

Lavanchy, Joël L.

• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

Lawlor, Aonghus

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

Lawson, Sophie

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

Lazo, Jorge F.

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

Le Folgoc, Loïc

• Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Le Roy, Bertrand

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

Le, Anjie

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

Le, Duc-Tai

• Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Le, Gao

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

Le, Hieu

• Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Le, Lawrence H.

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Le, Ngan

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Le, Quang Toan

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

Ledesma-Carbayo, Maria J.

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

Ledig, Christian

• Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Lee, Dong Hyun

• Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Lee, Donghwan

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

Lee, Donghyun

• MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework
• Conditional Graph Diffusion with Topological Constraints for Brain Network Generation

Lee, Euijong

• EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Lee, Hangyeul

• InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Lee, Ho Hin

• WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Lee, Hong Joo

• PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset

Lee, Hyeonsoo

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Lee, Hyun Jung

• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Lee, Hyunki

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Lee, Hyunyeol

• CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

Lee, In Kyu

• Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Lee, In-Gyu

• EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Lee, Insup

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Lee, Jae Yong

• Physics-Informed Neural Operators for Tissue Elasticity Reconstruction

Lee, Jaejin

• MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

Lee, Ji Young

• CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

Lee, Jong-eun

• Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Lee, Jongho

• MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning

Lee, Joonsang

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Lee, Jung Oh

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Lee, Jungwook

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Lee, Junhyeok

• Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Lee, Junseok

• Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Lee, Kwang Min

• Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Lee, Michael

• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Lee, Min Jin

• From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation

Lee, Minwoo

• Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation
• Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

Lee, Namsoon

• EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Lee, Sang-Woong

• Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

Lee, Seungeun

• Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention
• Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography

Lee, Soochahn

• Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Lee, Sung Hak

• Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Lee, Yeong Jong

• TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Lee, Yeonkyung

• PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning

Lee, Youngjoon

• Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Legris, Loïc

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Lei, Baiying

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks
• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
• Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction
• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Lei, Cheng

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Lei, Dongdong

• EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Lei, Haijun

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Lei, Long

• MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

Lei, Tianye

• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Lei, Wenhui

• LesionDiffusion: Towards Text-controlled General Lesion Synthesis
• Interactive Segmentation and Report Generation for CT Images

Lei, Yong

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Lei, Zhen

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes
• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Leigh, David

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Lekadir, Karim

• Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
• Single Image Test-Time Adaptation via Multi-View Co-Training
• Clinically-guided Data Synthesis for Laryngeal Lesion Detection
• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Lemasson, Benjamin

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Lemke, Nick

• Equitable Federated Learning with NCA

Lemmon, Michael

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Leng, Junhong

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Leng, Qibin

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Leng, Shuang

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Lenz, Tim

• Abnormality-Driven Representation Learning for Radiology Imaging

Leslie, William D.

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Leveridge, Michael

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Levilly, Sébastien

• Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Lewis, Joshua R.

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
• A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

Li, Biao

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Li, Bin

• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Li, Binghan

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Li, Binghua

• Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Li, Bohan

• Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Li, Bonan

• Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Li, Bozhao

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Li, Chang

• CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Li, Changjian

• VesselSDF: Distance Field Priors for Vascular Network Reconstruction

Li, Chao

• Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks
• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features
• Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Li, Cheng

• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Li, Cheng-Yi

• Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Li, Chengkun

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Li, Chenglong

• Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation
• Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Li, Chenjia

• Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Li, Chenjun

• Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Li, Chenyang

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Li, Chuanfu

• Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

Li, Chuanpu

• Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Li, Chunli

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

Li, Chunyan

• Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Li, Danna

• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Li, Danyi

• Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Li, Dongying

• M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

Li, Fan

• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

Li, Fang

• Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Li, Fangjie

• From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training
• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Li, Feng

• ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
• Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Li, Gan

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Li, Gang

• PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Li, Ganping

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Li, Gaolei

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Li, Guanbin

• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
• Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

Li, Guoshi

• A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation

Li, Hailong

• A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging

Li, Haiqing

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Li, Haitao

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
• DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

Li, Han

• PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation
• NeRF-based CBCT Reconstruction needs Normalization and Initialization
• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Li, Hao

• Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals
• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Li, Haoang

• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Li, Haojie

• Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

Li, Haokun

• Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Li, Haoshen

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion

Li, Haoyue

• SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

Li, He

• UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model

Li, Hexi

• Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Li, Hong-Jun

• Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
• Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Li, Honglin

• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Li, Hongsheng

• VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

Li, Hongshuo

• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Li, Hongwei Bran

• Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Li, Hui

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Li, Huiqi

• RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports
• Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Li, Jialu

• Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Li, Jiaming

• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Li, Jiancheng

• VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

Li, Jiapei

• LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

Li, Jiaqiang

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Li, Jiatong

• CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Li, Jincheng

• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Li, Jingjing

• Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Li, Jingming

• Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification

Li, Jingxiong

• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Li, Jinpeng

• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
• Medical Large Vision Language Models with Multi-Image Visual Ability

Li, Jinze

• MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Li, Jun

• MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Li, Junjian

• VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
• MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Li, Junlin

• LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

Li, Jupeng

• PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

Li, Kaiwen

• Training-free Test-time Improvement for Explainable Medical Image Classification

Li, Kang

• DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
• D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Li, Kefeng

• Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Li, Kehan

• CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Li, Kenli

• Concept-induced Graph Perception Model for Interpretable Diagnosis

Li, Kuan

• Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Li, Lanting

• BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

Li, Lei

• Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Li, Li

• Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction

Li, Lianghua

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Li, Lihua

• Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images
• Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction
• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Li, Lin

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation
• ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

Li, Linyuan

• CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

Li, Liu

• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Li, Mengran

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Li, Mengtang

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Li, Miao

• Medical Contrastive Learning of Positive and Negative Mentions

Li, Mingjie

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Li, Mingqian

• PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Li, Mingyang

• Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Li, Mingyong

• MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
• ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation

Li, Muhong

• Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Li, Na

• 3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

Li, Ningshu

• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Li, Peilin

• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Li, Qian

• Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
• BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Li, Qiang

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection
• MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Li, Qing

• Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization
• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Li, Qingli

• Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
• Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Li, Qingqiu

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Li, Qingya

• Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Li, Qingyun

• Unleashing the Power of LLMs for Medical Video Answer Localization

Li, Qinsong

• Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Li, Qirong

• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Li, Quanlin

• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Li, Quanzheng

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Li, Ran

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Li, Rui

• Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification
• Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Li, Ruiyang

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Li, Ruocheng

• MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

Li, Shaoxin

• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Li, Sheng

• Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Li, Shengxi

• Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Li, Shi

• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Li, Shihao

• SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

Li, Shuai

• Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Li, Shuaibo

• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

Li, Shumeng

• GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

Li, Shuo

• Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem
• RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning
• Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation
• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
• E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
• Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis
• Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Li, Sicheng

• RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Li, Siqiao

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Li, Siyou

• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Li, Sunyun

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Li, Tao

• Towards Automated Pediatric Dental Development Staging: A Dataset and Model
• PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Li, Tianbin

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Li, Wei

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
• BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
• A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Li, Weisheng

• DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Li, Weishi

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Li, Wenbo

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Li, Wenda

• Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Li, Wentao

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Li, Wenxuan

• Learning Segmentation from Radiology Reports

Li, Wenxue

• FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

Li, Wenyu

• Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Li, Xi

• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Li, Xiang

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
• Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Li, Xiao

• T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS
• GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Li, Xiaomeng

• VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
• Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models
• MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
• Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model
• EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography
• Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction
• CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Li, Xiaoxiao

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
• PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Li, Xieji

• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

Li, Xingyu

• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method

Li, Xinming

• Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Li, Xinxing

• Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Li, Xinyu

• Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Li, Xinyuan

• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Li, Xirong

• FunBench: Benchmarking Fundus Reading Skills of MLLMs

Li, Xuesong

• Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Li, Xueyang

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Li, Yahang

• Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Li, Yali

• Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Li, Yamin

• CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Li, Yan

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Li, Yang

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel
• Hierarchical Feature Learning for Medical Point Clouds via State Space Model
• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Li, Yanheng

• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Li, Yaqin

• Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Li, Yaxuan

• Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Li, Ye

• Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Li, Yi

• MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

Li, Yifan

• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

Li, Yijie

• A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

Li, Yiming

• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Li, Yingtai

• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era
• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Li, Yinhao

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Li, Yiping

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Li, Yiran

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Li, Yiwei

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Li, Yonghao

• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

Li, Yuan

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
• GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Li, Yuexiang

• Temporal Model-Based Federated Active Medical Image Classification
• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Li, Yujia

• Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
• NeRF-based CBCT Reconstruction needs Normalization and Initialization

Li, Yulong

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Li, Yuqin

• A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Li, Yuqing

• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Li, Yuxin

• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Li, Yuxing

• Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

Li, Yuzhen

• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Li, Yuzhu

• Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

Li, Zefeng

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Li, Zeju

• VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Li, Zezhou

• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Li, Zhe

• Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis
• Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Li, Zhen

• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Li, Zhenghong

• Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Li, Zhicheng

• NeRF-based CBCT Reconstruction needs Normalization and Initialization

Li, Zhixuan

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Li, Zhongsen

• Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Li, Zhuangzhuang

• DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

Li, Zhuoxiao

• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Li, Zi

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Li, Zihan

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Li, Zilinghan

• Pathology Image Compression with Pre-trained Autoencoders

Li, Ziyu

• Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization
• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
• DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

Li, Zongfang

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Lian, Chenyu

• BenchReAD: A systematic benchmark for retinal anomaly detection

Lian, Chunfeng

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
• CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching
• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Lian, Shichang

• Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Liang, Bocheng

• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Liang, Dazhu

• SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

Liang, Dong

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach
• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Liang, Haohui

• PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models

Liang, Hongrui

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Liang, Huanwen

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Liang, Jiaming

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Liang, Jian

• TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration

Liang, Jianwen

• Masked Contrastive Language-Image Modeling For Brain Segmentation

Liang, Junjie

• Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities

Liang, Li

• Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Liang, Lin

• Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Liang, Qinghua

• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Liang, Rui

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

Liang, Senwei

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Liang, Shiuan-Ni

• Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Liang, Tian

• Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Liang, Tong

• Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Liang, Xiao

• PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Liang, Xinglong

• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Liang, Xinyue

• Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Liang, Yaodong

• PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Liang, Yu

• Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction

Liang, Yuan

• Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Liang, Yuci

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Liang, Yunyi

• VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

Liang, Yuxia

• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Liang, Zhiwen

• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Liang, Zhuo

• MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Liao, Congyu

• Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Liao, Fangzhou

• SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

Liao, Fei

• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Liao, Guiqiu

• Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Liao, Hongen

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Liao, Huai

• EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Liao, Junda

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Liao, Linbo

• Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Liao, Minghui

• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Liao, Rui

• MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Liao, Weicheng

• A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Liao, Wenjun

• TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
• ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation
• Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

Liao, Xiangyun

• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Liao, Xin

• OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

Liao, Yi

• GE2Hist: Generating Histology Images from Single-cell Gene Expression via Cross-modal Generative Network

Liao, Zehui

• Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
• Cycle Context Verification for In-Context Medical Image Segmentation

Liao, Zhibin

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Liao, Zhijun

• DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Liebschner, Michael A.K.

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Liermann, Jakob

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Ligero, Marta

• Abnormality-Driven Representation Learning for Radiology Imaging

Lill, Yoriko

• Multi-Linear 3D Craniofacial Infant Shape Model

Lim, Chanho

• SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Lim, Dosun

• Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Lim, Hyesu

• CytoSAE: Interpretable Cell Embeddings for Hematology

Lim, Jongsoo

• Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Lim, Minjoo

• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Lim, Sang-Heon

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Lima, Joao A. C.

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Lin, Chenyu

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Lin, Ching-Long

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Lin, Haotian

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Lin, Haowei

• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Lin, Hongxin

• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Lin, Hun

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Lin, Jie

• DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation

Lin, Lanfen

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Lin, Li

• UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

Lin, Lizhuo

• Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Lin, Muyu

• Improving Autism Detection with Multimodal Behavioral Analysis

Lin, Qing

• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Lin, Rizhong

• UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

Lin, Tianyu

• Learning Segmentation from Radiology Reports
• LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Lin, Vivian

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Lin, Weili

• Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion
• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI
• Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline
• Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Lin, Weiping

• Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction
• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
• Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Lin, Xi

• Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Lin, Xian

• Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

Lin, Xin

• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Lin, Yanduan

• Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Lin, Yi

• CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis

Lin, Yimeng

• Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Lin, Ying-Chih

• Weighted Stratification in Multi-Label Contrastive Learning for Long-Tailed Medical Image Classification

Lin, Yiqun

• Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction

Lin, Yixuan

• Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction
• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Lindner, Claudia

• Deep Learning-based Alignment Measurement in Knee Radiographs

Lindquist, Martin A.

• BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

Ling, Haibin

• Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
• OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

Ling, Rongbo

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Linguraru, Marius George

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases
• Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Linke, Rebecca

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Linte, Cristian

• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Lionetti, Simone

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Lip, Gregory Y.H.

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

Litjens, Geert

• Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Liu, Baodi

• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Liu, Bo

• SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views
• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Liu, Bohan

• Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Liu, Chang

• VBCD: A Voxel-Based Framework for Personalized Dental Crown Design
• Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation
• Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Liu, Chaozong

• Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

Liu, Che

• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Liu, Chengcai

• Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

Liu, Chengzhi

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Liu, Congcong

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Liu, Dairui

• Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Liu, Daochang

• DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

Liu, Dong

• BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Liu, Fan

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Liu, Fanxuan

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Liu, Fei

• Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Liu, Feihong

• Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data
• Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks

Liu, Feng

• BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Liu, Fengchun

• Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

Liu, Fenglin

• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Liu, Gang

• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Liu, Han

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Liu, Hanruo

• RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Liu, Hantao

• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Liu, Hao

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Liu, Haofeng

• ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Liu, Haoyang

• MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

Liu, Hengyu

• EndoGen: Conditional Autoregressive Endoscopic Video Generation

Liu, Hong

• RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
• Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
• DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation
• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Liu, Hongbin

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes
• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery
• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery
• EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Liu, Huafeng

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
• IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Liu, Huan

• A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Liu, Huanyu

• PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection

Liu, Hui

• MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction
• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Liu, Jia

• Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Liu, Jiahe

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Liu, Jiaji

• Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Liu, Jiameng

• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET

Liu, Jianjun

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Liu, Jianping

• Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

Liu, Jiaqing

• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Liu, Jiarun

• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Liu, Jiaxiang

• V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
• Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Liu, Jie

• Paired Image Generation with Diffusion-Guided Diffusion Models

Liu, Jikui

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Liu, Jin

• VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
• Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
• MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Liu, Jinduo

• MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Liu, Jinghan

• Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Liu, Jingsong

• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Liu, Jingyu

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Liu, Jinhua

• EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

Liu, Jiyao

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Liu, Junhong

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Liu, Junkai

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Liu, Ke

• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Liu, Keyuan

• Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Liu, Kun

• GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion
• GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Liu, Kunhong

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Liu, Kunye

• High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

Liu, Lei

• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Liu, Li

• BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Liu, Lian

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Liu, Lihao

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Liu, Lingqiao

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Liu, Liping

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Liu, Liwen

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Liu, Lu

• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• LKA: Large Kernel Adapter for Enhanced Medical Image Classification
• Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Liu, Lydia Y.

• Physics-guided deep image prior network for general zero-shot stain deconvolution

Liu, Mei

• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Liu, Mengjun

• Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Liu, Mengting

• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Liu, Min

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Liu, Mingsi

• Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

Liu, Mingtian

• Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

Liu, Mingxia

• Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion
• MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI
• Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
• Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline
• Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Liu, Mingxin

• MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Liu, Peng

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Liu, Shaohui

• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Liu, Shenglin

• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Liu, Shengyuan

• TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction

Liu, Shuai

• MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Liu, Shuting

• Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

Liu, Si-Qi

• Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

Liu, Sidong

• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
• FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-Parametric MRI
• FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Liu, Sihan

• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Liu, Tianming

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
• Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
• EndoGen: Conditional Autoregressive Endoscopic Video Generation
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Liu, Tiantian

• UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

Liu, Tianzhu

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Liu, Tin Y. A.

• Unsupervised OCT image interpolation using deformable registration and generative models

Liu, Ting

• KMUNet: A novel medical image segmentation model based on KAN and Mamba

Liu, Tuo

• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Liu, Wanchen

• AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Liu, Wei

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

Liu, Weifeng

• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Liu, Wenjie

• Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Liu, Wenjin

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Liu, Xi

• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Liu, Xiao

• AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Liu, Xiaohong

• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Liu, Xiaoyu

• Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Liu, Xiaoyue

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Liu, Xiaoyun

• Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

Liu, Xing

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Liu, Xinrui

• MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

Liu, Xinwang

• PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

Liu, Xinyu

• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation
• EndoGen: Conditional Autoregressive Endoscopic Video Generation

Liu, Xinyue

• 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

Liu, Xuan

• MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Liu, Xuhui

• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Liu, Yajun

• M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

Liu, Yang

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing
• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Liu, Yanjun

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Liu, Yanzhen

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Liu, Yanzuo

• Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Liu, Yaoqun

• Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

Liu, Yi

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Liu, Yifan

• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

Liu, Yihao

• Unsupervised OCT image interpolation using deformable registration and generative models

Liu, Yikang

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Liu, Yingcheng

• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Liu, Yishu

• Med-BiasX: Robust Medical Visual Question Answering with Language Biases

Liu, Yong

• MedGCD: Generalized Category Discovery in Medical Imaging
• DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis
• AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

Liu, Yongzhi

• FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Liu, Yuanye

• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Liu, Yufei

• SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Liu, Yuhe

• DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Liu, Yulong

• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Liu, Yumeng

• Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis

Liu, Yun-Hui

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Liu, Yusi

• A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Liu, Yuxiao

• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders
• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis
• Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks

Liu, Yuxuan

• Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

Liu, Zaiyi

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Liu, Zaiyuan

• Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap

Liu, Zekai

• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method

Liu, Zelin

• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Liu, Zelong

• Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation
• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Liu, Zhaohui

• P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Liu, Zhe

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
• LKA: Large Kernel Adapter for Enhanced Medical Image Classification
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training
• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Liu, Zhenbing

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Liu, Zhentao

• Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

Liu, Zhenzhong

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Liu, Zheyuan

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Liu, Zhi

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Liu, Zhong

• E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

Liu, ZiYu

• Medical Contrastive Learning of Positive and Negative Mentions

Liu, Ziteng

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Liu, Ziwen

• Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Liu, Zixuan

• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation
• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Liu, Zuozhu

• V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
• Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
• Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Llambias, Sebastian

• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Lloyd, John E.

• OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Lo, Joseph Y.

• MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Loddo, Andrea

• RedDino: A foundation model for red blood cell analysis

Lodygensky, Gregory

• Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport.

Loftus, Tyler J.

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Lohmeyer, Quentin

• Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery
• 6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Lombaert, Herve

• Variational Visible Layers: A Practical Framework for Uncertainty Estimation

Long, Nuoer

• BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

Long, Qiang

• Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Long, Xi

• Cross-Modal Graph Learning for Perivascular Spaces Segmentation

Long, Xin

• MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations

Long, Yang

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Long, Yu

• 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
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Long, Yuxuan

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Longari, Giorgio

• Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Loo, Junn Yong

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Lorentzon, Mattias

• Separable tissue representations for attributable risk prediction

Lou, Edmond H. M.

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Lou, Jingjiao

• PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

Lu, Chen

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Lu, Cheng

• Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology

Lu, Chunyao

• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Lu, Donghuan

• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Lu, Guangming

• Med-BiasX: Robust Medical Visual Question Answering with Language Biases

Lu, Haiping

• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Lu, Hao

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Lu, Huchuan

• UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Lu, Huimin

• Delving into Out-of-Distribution Detection with Medical Vision-Language Models

Lu, Jian

• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Lu, Jing

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Lu, Le

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
• Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Lu, Lijun

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Lu, Minhua

• PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection

Lu, Qing

• Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Lu, Si-Yuan

• LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Lu, Tao

• UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model

Lu, Wantong

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA

Lu, Wenkai

• Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Lu, Wenqi

• Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Lu, Xinhua

• Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

Lu, Yadong

• Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Lu, Yanye

• Training-free Test-time Improvement for Explainable Medical Image Classification

Lu, Yao

• Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Lu, Yijun

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Lu, Yonghan

• Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Lu, Yuqing

• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Lu, Zhouxian

• VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

Lu, Zilin

• Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

Lucas, Molly

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Lucassen, Ruben T.

• Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Lui, Yvonne W.

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Luisier, Raphaëlle

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Lumetti, Luca

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

Luna, Miguel

• Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Luo, Chen

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Luo, Gan

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Luo, Gongning

• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Luo, Guibo

• MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Luo, Haozhe

• On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

Luo, Huan

• Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

Luo, Huoling

• Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

Luo, Li

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Luo, Lin

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Luo, Luyang

• Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Luo, Mingyuan

• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Luo, Pengpeng

• LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

Luo, Tao

• Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training

Luo, Wei

• Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

Luo, Weihao

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Luo, Xiangde

• Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
• DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

Luo, Xiaonan

• DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

Luo, Xin

• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Luo, Xinzhe

• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Luo, Xiongbiao

• Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation
• Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation
• Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation

Luo, Xuxiao

• ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Luo, Yihao

• Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Luo, Yimin

• WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Luo, Yiwen

• Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution

Luo, Yong

• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Luo, Zhiming

• SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Luo, Zihao

• Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

Luong, Christina

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Luong, Hiep

• Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Luosang, Gadeng

• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Luthman, Siri

• Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Lutnick, Brendon

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Lux, Laurin

• Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Lv, Haolin

• Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Lv, Jianping

• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Lv, Sangyin

• Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Lv, Tianxu

• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Lv, Yanan

• Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Lv, Yuntong

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Ly, Son T.

• Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Lynch, Carisa N.

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

Lyu, Chongwen

• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Lyu, Ilwoo

• Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention

Lyu, Junyan

• Masked Contrastive Language-Image Modeling For Brain Segmentation

Lyu, Qingcheng

• WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference

Lyu, Xinheng

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Lyu, Yanjun

• Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Lyu, Zhengyuan

• Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Lüscher, Jérôme

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

M. Gordaliza, Pedro

• NIMOSEF: Neural implicit motion and segmentation functions

Ma, Ao

• Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Ma, Benteng

• Personalized Federated Side-Tuning for Medical Image Classification

Ma, Chenglong

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Ma, Dingrui

• Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

Ma, Fang

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Ma, Gengchen

• Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

Ma, Hehuan

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Ma, Jianhua

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
• CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching
• Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Ma, Jiawei

• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Ma, Jiaxin

• Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction

Ma, Jinhui

• MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Ma, Jiquan

• MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Ma, Jun

• Exploring the Design Space of 3D MLLMs for CT Report Generation

Ma, Lei

• VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
• A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation
• 3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

Ma, Lele

• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Ma, Qiang

• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
• CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Ma, Qiongxiong

• PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Ma, Ruohan

• PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

Ma, Siqi

• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Ma, Siteng

• Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation

Ma, Tai

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Ma, Tao

• MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Ma, Tianyu

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Ma, Weikai

• High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

Ma, Wenchao

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Ma, Wenxin

• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Ma, Xiaochuan

• SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning

Ma, Xiaohui

• MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Ma, Xinghua

• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Ma, Xinke

• Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

Ma, Xinyu

• MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Ma, Yifei

• Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Ma, Yingfan

• Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Ma, Yuhui

• A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Ma, Yunxiang

• T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Ma, Yuxi

• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

Ma, Zeyao

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Mac Aodha, Oisin

• VesselSDF: Distance Field Priors for Vascular Network Reconstruction

Maccarone, Francesca

• Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Maccormac, Oscar

• Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Machado, Ines

• Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks

Machado-Reyes, Diego

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Mackute, Emile

• Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression
• BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Madan, Chetan

• Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

Madduri, Ravi K

• Pathology Image Compression with Pre-trained Autoencoders

Madeira, Manuel

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Madhipati, Rajesh

• CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

Madhusudhan, Savita

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting

Mae, Hirokazu

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Maeng, Junyeong

• Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

Maerkl, Raphaela

• DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Magnier, Baptiste

• Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Mahjoub, Mohamed Ali

• Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Mahmood, Ahsan

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Mahmood, Arif

• Localization Lens for Improving Medical Vision-Language Models

Mahmood, Faisal

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Mahmood, Razi

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Mai, Huayu

• MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Maier, Andreas

• FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
• DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging
• CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

Maier-Hein, Klaus H.

• The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
• Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Maier-Hein, Lena

• Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Maihe, Boris

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Majhi, Snehashis

• Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

Major, Paul

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Malarz, Dawid

• PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Malik, Hashmat Shadab

• Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Mammadov, Ali

• Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Manceron, Pierre

• RadSAM: Segmenting 3D radiological images with a 2D promptable model

Mann, Ritse

• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Mansi, Tommaso

• MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Mansoor, Awais

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Mao, Axiu

• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Mao, Yiheng

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
• DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities

Mao, Yiji

• Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Maqsood, Arooba

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Marchesini, Kevin

• IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Marchi, Baptiste

• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Marciano, Vincenzo

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Marconi, Elettra

• Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Marculescu, Radu

• EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

Marcus, Daniel

• Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Marescaux, Jacques

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Marini, Rafael

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Marr, Carsten

• RedDino: A foundation model for red blood cell analysis
• CytoSAE: Interpretable Cell Embeddings for Hematology

Marrouche, Nassir

• SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Marrus, Natasha

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Marshall, Dominic C.

• CF-Seg: Counterfactuals meet Segmentation

Martel, Anne L.

• Physics-guided deep image prior network for general zero-shot stain deconvolution

Martin-Isla, Carlos

• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Marttinen, Pekka

• New Multimodal Similarity Measure for Image Registration via Modeling Local Functional Dependence with Linear Combination of Learned Basis Functions

Mascagni, Pietro

• Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Masquelin, Axel H.P.

• Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders

Massad, Christian

• SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation

Mata, Kattia

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Matek, Christian

• Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Mathew, Shawn

• RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

Matias, Yossi

• CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Matthews, Paul M.

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
• CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Mattos, Leonardo S.

• Towards Patient-Specific Deformable Registration in Laparoscopic Surgery
• Clinically-guided Data Synthesis for Laryngeal Lesion Detection

Maurin, Arnaud

• Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control

Mayo, Perla

• Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Mazomenos, Evangelos B.

• Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion
• 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

McCann, Gerry P.

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

McClelland, Jamie R.

• DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

McIntosh, Chris

• Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
• EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks

McKinstry, Robert C.

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Meboldt, Mirko

• Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery
• 6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Mecharbat, Lotfi Abdelkrim

• MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

Mechtouff, Laura

• Lesion-centered vision transformer for stroke outcome prediction from image and clinical data

Medghalchi, Yasamin

• Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Mehdipour Ghazi, Mostafa

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Mehmood, Tariq

• CATVis: Context-Aware Thought Visualization

Mehta, Deval

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Mehta, Raghav

• UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
• CF-Seg: Counterfactuals meet Segmentation
• Automatic dataset shift identification to support safe deployment of medical imaging AI

Mehtali, Jonas

• C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Mei, Junhao

• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Mei, Liye

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Mei, Wei

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Mello-Thoms, Claudia

• Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

Melzi, Simone

• Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Meng, Dequan

• MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

Meng, Dongdong

• Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Meng, Gaofeng

• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery
• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Meng, Hongxue

• Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction

Meng, Hui

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Meng, Max Q.-H.

• Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation
• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

Meng, Qingjie

• CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Meng, Runqi

• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

Meng, Weiyu

• Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Meng, Yanda

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting
• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
• Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Meng, Zijie

• SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Menten, Martin J.

• Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Menze, Bjoern

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
• Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
• Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Merhof, Dorit

• Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis
• LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
• HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography
• CENet: Context Enhancement Network for Medical Image Segmentation

Messina, Pablo

• IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Metaxas, Dimitris

• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Metzler, Philipp

• Multi-Linear 3D Craniofacial Infant Shape Model

Meyer, Philippe

• PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Meyer, Tom

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Meyer-Baese, Anke

• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis

Mezouar, Youcef

• Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Mi, Xuande

• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Mian, Ajmal

• Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation

Miao, Chaoran

• UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

Miao, Fen

• ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

Miao, Fuyou

• Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment

Miao, Juzheng

• Medical Large Vision Language Models with Multi-Image Visual Ability

Miao, Xingyu

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Miao, Yiyi

• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Miao, Yuwei

• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Midden, Dominique van

• Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Miernik, Arkadiusz

• KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Miga, Michael

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Mihalik, Jason P.

• Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Mikolaj, Kamil

• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Milana, Flavio

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Miletic, Vesna

• DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

Milioni de Carvalho, Pablo

• Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Miller, Lloyd

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Mills, Gordon B.

• Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Miloserdov, Konstantin

• Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

Min, Hyungi

• InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

Min, Jaesik

• Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Min, Wenwen

• Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Min, Zhe

• Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation

Mineo, Raffaele

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Ming, Shuai

• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Mirkes, Evgeny M.

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Miron, Radu

• Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Mirza, Sohail K.

• Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Misawa, Kazunari

• Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Mishra, Deepak

• Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Mishra, Divyanshu

• Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos

Missel, Ryan

• Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Mitsis, Georgios D.

• Attention-Based Multimodal Deep Learning Model for Post-Stroke Motor Impairment Prediction

Miyoshi, Hiroaki

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Mo, Jianqing

• SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation

Mo, Junyang

• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Moafi, Aida

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Moafi, Danial

• Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels

Moas, Victor

• CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Modrzejewski, Richard

• Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Mohamed, Mohamed

• RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

Mohapatra, Sovesh

• TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Mok, Tony C. W.

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Monroe, Derek C.

• Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Montavon, Grégoire

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Montiel, José M. M.

• EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

Montoya-Zegarra, Javier A.

• Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Moon, Chanyu

• OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

Moon, Hoyeon

• Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Moon, Hyeonjoon

• Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation

Moon, Taejin

• Aorta Multi-class Segmentation via Anatomically Constrained Plane Detection

Moonemans, Sander P. J.

• Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Morano, José

• RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Mori, Kensaku

• Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Mori, Shohei

• Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Morotti, Elena

• LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

Morshuis, Jan Nikolas

• Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Mortanges, Aurélie Pahud de

• On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

Mortazavi, Bobak J.

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Mossa-Basha, Mahmud

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Mossina, Luca

• Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Mostapha, Mahmoud

• Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Mottershead, Marcus

• RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Mou, Lei

• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Mou, Lichao

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Mouadden, Nabil

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Mouchère, Harold

• Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Mourad, Charbel

• Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Mourão, Mariana

• Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Mousavi, Parvin

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Mu, Tingting

• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Mu, Wei

• IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image

Mueller, Andreas A.

• Multi-Linear 3D Craniofacial Infant Shape Model

Mukherjee, Pritam

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Mukhopadhyay, Anirban

• SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis
• Equitable Federated Learning with NCA

Munir, Mustafa

• EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

Munk, Asbjørn

• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Murali, Kaushik

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Murino, Vittorio

• MadCLIP: Few-shot Medical Anomaly Detection with CLIP

Mustafaev, Tamerlan

• Longitudinal anatomical attention maps for recognizing diagnostic errors from radiologists’ eye movements

Muthukrishnan, Ramya

• Spatial regularisation for improved accuracy and interpretability in keypoint-based registration

Márquez-Neila, Pablo

• Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Möller, Hendrik

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Müller, Beat

• Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Müller, Johanna Paula

• Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Müller, Klaus-Robert

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Müller, Philip

• Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Müller, Sarah

• Learning Disease State from Noisy Ordinal Disease Progression Labels

Müller, Simon

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

N. Christensen, Anders

• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Na, Inye

• RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

Nabavi, Sheida

• Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading
• Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Nadar, Mariappan S.

• Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Nadeem, Saad

• RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches

Naeem, Roman

• Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

Nag, Sayak

• ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

Nagai, Arata

• MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

Nagatani, Rina

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Nagel, Ines D.

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Nailon, William Henry

• AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Nam, Gahie

• Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Nam, Hyeonyeong

• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Nam, Yoojin

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Nam, Yoonho

• Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network

Nandakumar, Karthik

• Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

Nandi, Tarak Nath

• Pathology Image Compression with Pre-trained Autoencoders

Naouar, Mehdi

• One For All: A Unified Approach to Classification and Self-Explanation

Napolitano, Michael J.

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Nariai, Hiroki

• Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Nascimento, Jacinto C.

• Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Naseer, Muzammal

• Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Nasim, Mehwish

• Localization Lens for Improving Medical Vision-Language Models

Nasirihaghighi, Sahar

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Nasser, Tasneem

• Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

Navab, Nassir

• UltrON: Ultrasound Occupancy Networks
• UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
• UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
• Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval
• Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset
• NeRF-based CBCT Reconstruction needs Normalization and Initialization
• LiteTracker: Leveraging Temporal Causality for Accurate Low-latency Tissue Tracking
• Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication
• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization
• HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation
• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift
• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology
• CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery
• BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation
• Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Navarini, Alexander A.

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Nayak, Deepak Ranjan

• Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

Nazem-Zadeh, Mohammad

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Nazlioglu, Ahmet

• HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

Neary-Zajiczek, Lydia

• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Neog, Debanga Raj

• ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

Nerella, Subhash

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Neri, Alberto

• Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Newby, David E.

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

Ng, Felix

• Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment

Ngo, Dien Hy

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Nguyen, Anh

• Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Nguyen, Ba Sy

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Nguyen, Binh P.

• Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Nguyen, Duc Quyen

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Nguyen, Hanh Huyen My

• Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs

Nguyen, Hien V.

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant
• Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Nguyen, Khoa Tuan

• Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Nguyen, Kim-Cuong T.

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Nguyen, Phi Le

• Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting
• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Nguyen, Thanh Trung

• Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Nguyen, Tien Cuong

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Nguyen, Tri-Thien

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Nguyen, Truong Q.

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Nguyen-Duc, Thanh

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Nhu, Duong

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Ni, Dong

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Ni, Haomiao

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Ni, Huangjing

• Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Ni, Qiongying

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Ni, Simin

• Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

Ni, Xuefeng

• Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Nicolaou, Savvas

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Nie, Dong

• Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation
• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Nie, Fang

• FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

Nie, Qiang

• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Nie, Xinyu

• GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Nie, Xiu

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Nie, Yuanpeng

• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Niederer, Steven

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Nielsen, Mads

• Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency
• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Niendorf, Thoralf

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Niethammer, Marc

• Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

Niklas, Martin

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Nikonorov, Artem

• pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

Nikouei Mahani, Mohammad-Ali

• MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Niloy, Fahim Faisal

• ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

Ning, Guochen

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Ning, Junzhi

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Ning, Xiaolin

• High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

Nishiyama, Daiki

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Niu, Chen

• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Niu, Xiaolong

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Noble, J. Alison

• Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Noh, Junhyug

• Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Noh, Wonjong

• Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation
• Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

Noh, Yeonwoo

• Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation
• Decentralized Noise Handling in Medical Imaging: Encoder-Decoder Based Federated Imputation for Robust Training

Noman, Fuad

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
• Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

Nong, Luming

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Norden, Matthias

• Improving Autism Detection with Multimodal Behavioral Analysis

Ntampakis, Nikolaos

• NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

Nupairoj, Natawut

• EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Nwoye, Chinedu Innocent

• Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

Oda, Masahiro

• Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images

Odille, Freddy

• Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Ofosu Mensah, Samuel

• Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning

Ogidi, Franklin

• Advancing Medical Representation Learning Through High-Quality Data

Oh, Ji-Hun

• Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Oh, Ji-Hye

• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Oh, Jintaek

• Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance

Oh, Joonseo

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Oh, Jun-Young

• EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification

Oh, Namkee

• Towards Holistic Surgical Scene Graph
• CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

Oh, Yujin

• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Ohara, Erik Y.

• Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

Ohshima, Koichi

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Okada, Seiji

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Okamoto, Masashi

• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Okello, Emmy

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Oliva, Riccardo

• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Oliva-Maza, Laura

• KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Oliveira, Sara P.

• Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Olivier, Antoine

• Robust sensitivity control in digital pathology via tile score distribution matching
• Distilling foundation models for robust and efficient models in digital pathology

Oluigbo, Chima

• Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Ombao, Hernando

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
• Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

Ondruschka, Benjamin

• Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Onemli, Emre

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Oner, Doruk

• CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation

Ong, Huey Fang

• Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Ong, Jason J.

• Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Ong, Valentin

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Ong, Win Kent

• Maverick: Collaboration-free Federated Unlearning for Medical Privacy

Onken, Arno

• VesselSDF: Distance Field Priors for Vascular Network Reconstruction

Ortuño, Juan E.

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Osgood, Greg

• FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Ostroff, Linnaea

• Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Osuala, Richard

• Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
• Single Image Test-Time Adaptation via Multi-View Co-Training
• Clinically-guided Data Synthesis for Laryngeal Lesion Detection
• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Otake, Yoshito

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach
• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Otálora, Sebastian

• Training state-of-the-art pathology foundation models with orders of magnitude less data

Ou, Chubin

• VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Ou, Yafei

• GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

Ou, Yangming

• Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Ourselin, Sebastien

• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
• EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Ouyang, Cheng

• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Ouyang, Minhui

• TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Ouyang, Song

• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Ouyang, Xiaocao

• UWT-Net: Mining low-frequency feature information for medical image segmentation

Ozbulak, Utku

• SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Ozgur, Erol

• Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Ozrazgat-Baslanti, Tezcan

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

O’Brien, Terence

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

O’Donnell, Lauren J.

• A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

O’Regan, Declan P.

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
• CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Padoy, Nicolas

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
• Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery
• Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Paetzold, Johannes C.

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI
• Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Pagnucco, Maurice

• Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

Pal, Basudha

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Pal, Rahul

• Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Palazzo, Simone

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Palm, Christoph

• DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Pan, Dan

• MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Pan, Delin

• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Pan, Haoyu

• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Pan, Hefu

• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Pan, Hongxin

• Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Pan, Jiazhen

• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Pan, Junjun

• Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation

Pan, Qingtao

• PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

Pan, Shi

• Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

Pan, Sitian

• CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Pan, Xiang

• Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images
• Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction
• Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation
• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Pan, Xipeng

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Pan, Yingtian

• Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Pan, Yongsheng

• Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap
• Personalized Federated Side-Tuning for Medical Image Classification

Pan, Zhen

• MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Panambur, Adarsh Bhandary

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Pandey, Juhi

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Pang, Haowen

• D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

Pang, Zheng

• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Paonim, Thatphum

• EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Papageorghiou, Aris T.

• Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Papineni, Vijay Ram Kumar

• MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
• MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
• DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
• ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Paragios, Nikos

• Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Parhizkar, Yasaman

• Advancing Medical Representation Learning Through High-Quality Data

Parida, Abhijeet

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Park, Bo-Yong

• PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency

Park, Bo-yong

• Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer

Park, Dogeun

• SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification

Park, Dougho

• R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Park, Ga Eun

• Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network

Park, Hyung-Bok

• MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

Park, Hyunjin

• RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
• Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
• PMIL: Prompt enhanced Multimodal Integrative analysis of fMRI combining functional connectivity and temporal Latency
• Integrating meta-analysis in multi-modal brain studies with graph-based attention transformer
• Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Park, Jeong Joon

• Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

Park, Joon Hyung

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Park, Joonhyuk

• DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine
• Conditional Graph Diffusion with Topological Constraints for Brain Network Generation

Park, Junhyun

• OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

Park, Kanggil

• CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

Park, Sang Hyun

• Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Park, Sang-Jun

• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Park, Seonmin

• CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

Parmar, Chaitanya

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Parolari, Luca

• Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy

Passerat-Palmbach, Jonathan

• FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Pate, Shripad

• Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Patel Shah, Asha

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Patel, Vishal M.

• StepAL: Step-aware Active Learning for Cataract Surgical Videos

Patey, Olga

• Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Pati, Pushpak

• MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Paulsen, Keith D.

• Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Pearlson, Godfrey

• A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

Peeken, Jan C.

• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
• Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Peeters, Thomas

• Distilling foundation models for robust and efficient models in digital pathology

Pei, Guoquan

• Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

Pei, Jialun

• Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Pei, Yuru

• DiffStain: Conditioned Diffusion-Based Semantic Virtual Staining with Mask Guidance
• CS²C: Collaborative Spatial and Spectral Neural Clustering for Organelle Segmentation from Volumetric Electron Microscopy

Peiris, Himashi

• D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

Pelphrey, Kevin A.

• Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
• BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Peng, Can

• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Peng, Fengfeng

• Concept-induced Graph Perception Model for Interpretable Diagnosis

Peng, Gang

• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Peng, Jiachuan

• An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-Task Learning

Peng, Jialin

• Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

Peng, Jin

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Peng, Qin

• HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Peng, Ran

• UWT-Net: Mining low-frequency feature information for medical image segmentation

Peng, Tingying

• Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration

Peng, Wei

• WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
• Generating Novel Brain Morphology by Deforming Learned Templates

Peng, Xingchen

• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

Peng, Yong

• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Peng, Yunsong

• Paired Image Generation with Diffusion-Guided Diffusion Models

Peng, Zhixiang

• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze

Peng, Zihao

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Peng, Zizhao

• Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

Penza, Veronica

• Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Perperidis, Antonios

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Perrin, Simon

• Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Peruzzo, Denis

• Unraveling Brainstem Deformations in Joubert Syndrome: A Statistical Shape Analysis of MRI-Derived Structures

Pescia, Carlo

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Peters, Annette

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Peters, Terry M.

• A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

Petersen, Kersten

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Petersen, Steffen E.

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Pfeiffer, Micha

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting
• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Pham, Cuong M.

• Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Pham, Duc Hao

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Pham, Duy Khoa

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Pham, Huy Hoang

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Phan, Huong Duong

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Phan, Minh Hieu

• Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting
• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Phan, Raphaël C.-W.

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
• Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

Philippe, Helene

• RadSAM: Segmenting 3D radiological images with a 2D promptable model

Pi, Jialu

• MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse events with Causal Reasoning and De-confounding

Piccolomini, Elena Loli

• Blind Restoration of High-Resolution Ultrasound Video

Piechnik, Stefan K.

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Pierre, Clifford

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery

Pignet, Arthur

• Robust sensitivity control in digital pathology via tile score distribution matching

Ping, Xiangle

• MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba

Pipoli, Vittorio

• IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Pirk, Sören

• Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Pirkl, Carolin M.

• Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction

Pischon, Tobias

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Pitsiorlas, Ioannis

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Piven, Joseph

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Planche, Benjamin

• PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Pluim, Josien P. W.

• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Podvin, Baptiste

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Pohl, Kilian

• Generating Novel Brain Morphology by Deforming Learned Templates

Pokhrel, Sandesh

• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Polikovsky, Senya

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Polonen, Ilkka

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
• Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Porat, Moshe

• SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Porras, Tito

• Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Porrello, Angelo

• U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation

Poulett, William

• RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Pouly, Marc

• Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Pourmotabbed, Haatef

• CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Prabhakar, Chinmay

• Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Prasad, Mukesh

• DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

Prasanna, Prateek

• Pathology Image Compression with Pre-trained Autoencoders

Prenißl, Niklas

• MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Prevost, Raphael

• HyperSORT: Self-Organising Robust Training with hyper-networks

Price, Cathy J.

• Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

Prilepin, Evgeny

• pyOpenNFT: an open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback

Prince, Jerry L.

• Unsupervised OCT image interpolation using deformable registration and generative models
• Exploring the feasibility of zero-shot super-resolution in preclinical imaging

Prince, Richard L.

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Prisman, Eitan

• OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Proietto Salanitri, Federica

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Pruett Jr., John R.

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Prüfer, Friederike

• Multi-Linear 3D Craniofacial Infant Shape Model

Pu, Bin

• Personalized Federated Side-Tuning for Medical Image Classification
• Concept-induced Graph Perception Model for Interpretable Diagnosis
• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Pu, Cailing

• Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Pulakhandam, Rishitha

• Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Punithakumar, Kumaradevan

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Purdie, Thomas G.

• Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning

Puyol-Antón, Esther

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Pyatkovskiy, Sergey

• Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention

Płotka, Szymon

• GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

Qadir, Junaid

• RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Qahqaie, Melika

• FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Qi, Fei

• GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Qi, Lei

• GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
• Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

Qi, Liangce

• A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Qi, Muge

• A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

Qi, Qi

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Qi, Ronghui

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Qi, Xiaoming

• Concept-induced Graph Perception Model for Interpretable Diagnosis

Qi, Xiaoran

• FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

Qi, Yuan

• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Qian, Bo

• LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture

Qian, Chengxuan

• CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Qian, Kaiheng

• FunBench: Benchmarking Fundus Reading Skills of MLLMs

Qian, Xin

• SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
• RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction

Qian, Zhen

• Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Qiang, Yan

• Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Qiao, Lihong

• DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Qiao, Lishan

• MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

Qiao, Mengyun

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
• CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching

Qiao, Peng

• Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Qiao, Yu

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Qiao, Yuchuan

• UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation

Qin, Feiwei

• Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking
• Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Qin, Geng

• A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Qin, Guanyi

• ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Qin, Haonan

• Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

Qin, Jiaolong

• Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Qin, Jing

• Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
• Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
• CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
• BenchReAD: A systematic benchmark for retinal anomaly detection
• Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Qin, Pengyao

• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Qin, Qiyuan

• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

Qin, Shihua

• Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Qin, Wenjian

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Qin, Yi

• Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models
• EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography
• Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction

Qiu, Anqi

• Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis

Qiu, Bensheng

• MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Qiu, Enqi

• Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation

Qiu, Huaqi

• A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

Qiu, Junchao

• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Qiu, Kunpeng

• Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

Qiu, Liang

• Unleashing the Power of LLMs for Medical Video Answer Localization

Qiu, Liheng

• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

Qiu, Peijie

• Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Qiu, Riyu

• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Qiu, Shi

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Qiu, Shihan

• Unsupervised Learning-Based Susceptibility Artifact Correction for Diffusion-Weighted MRI in Multiple Organs

Qiu, Weihong

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Qiu, Wu

• P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography
• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Qiu, Xihe

• Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models
• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Qiu, Xingyu

• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Qiu, Xinmei

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Qiu, Yaru

• SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Qiu, Yuxuan

• A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Qiu, Zhaowen

• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Qiu, Zhaoyu

• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

Qu, Chao

• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Qu, Junlong

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Qu, Liangqiong

• Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

Qu, Mingcheng

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

Que, Ningfeng

• Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Quiñones Robles, Willmer Rafell

• MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

Ra, Sinyoung

• Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

Rabbani, Navid

• Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images

Radavelli-Bagatini, Simone

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Ragonese, Egidio

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Rahman, Maqsudur

• NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

Rahman, Md Mostafijur

• EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation

Rai, Ankit

• Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Raimondi, Gianna

• Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections

Rajapakse, Jagath C.

• Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits
• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Ramachandran, Pradeep

• Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Ramos-Guerra, Ana D.

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Rana, Ramesh

• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Ranjan, Rishabh

• Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Rao, Amog

• Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Rao, Fan

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Rao, Haonan

• VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

Rasal, Rajat

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Rashidi, Parisa

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Rashidian, Niki

• Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Rauber, David

• DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Razzak, Imran

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Re, Thomas J.

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Reader, Andrew J.

• Supervised Diffusion-Model-Based PET Image Reconstruction

Rebain, Daniel

• VesselSDF: Distance Field Priors for Vascular Network Reconstruction

Reber, Manuel

• Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery

Reddy, Arthi

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Reisenbüchler, Daniel

• Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis

Reith, Fabian H.

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Rekik, Islem

• Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Remedios, Samuel W.

• Unsupervised OCT image interpolation using deformable registration and generative models
• Exploring the feasibility of zero-shot super-resolution in preclinical imaging

Ren, Hongliang

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Ren, Hui

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Ren, Jiaojiao

• T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Ren, Jiaxiang

• Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention

Ren, Qin

• OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

Ren, Xueting

• Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Ren, Yinhao

• MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Ren, Yuanfang

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Ren, Yudan

• GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Ren, Zehua

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Renc, Pawel

• RegScore: Scoring Systems for Regression Tasks

Rennke, Helmut

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Revel, Marie-Pierre

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Reyes, Mauricio

• On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

Reznik, Gabrielle

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Rezvani, Arghavan

• XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Rhee, Seungyeon

• MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

Riazi, Maryam

• LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

Richiardi, Jonas

• NIMOSEF: Neural implicit motion and segmentation functions

Rietberg, Max T.

• Steerable Anatomical Shape Synthesis with Implicit Neural Representations

Riklin-Raviv, Tammy

• HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

Ringman, John

• GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Riou, Auriane

• Distilling foundation models for robust and efficient models in digital pathology

Ripaud, Elodie

• Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Rittscher, Jens

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Riva, Marco

• Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Rizky, L. M. Riza

• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Rizzaro, Massimiliano Domenico

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Robertshaw, Harry

• World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Robin, Geneviève

• Robust sensitivity control in digital pathology via tile score distribution matching
• Distilling foundation models for robust and efficient models in digital pathology

Rochford, William

• Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Roddan, Alfie

• SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Rodriguez y Baena, Ferdinando

• Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Rofsky, Neil M.

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Rohleder, Maximilian

• DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Roi, Dylan

• Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Romero, Eduardo

• Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis

Rominger, Axel

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Ronchetti, Matteo

• Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Ropinski, Timo

• Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Rosati, Andrea

• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Roschewitz, Mélanie

• CF-Seg: Counterfactuals meet Segmentation
• Automatic dataset shift identification to support safe deployment of medical imaging AI

Roshanitabrizi, Pooneh

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Roth, Holger R.

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Rothermel, Markus

• HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

Roy, Antika

• WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Roy, Debasmit

• Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

Roy, Shuvendu

• Advancing Medical Representation Learning Through High-Quality Data

Roy-Chowdhury, Amit K.

• ODES: Online Domain Adaptation with Expert Guidance for Medical Image Segmentation

Roychowdhury, Vwani

• Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Royston, Daniel

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Ruan, Dongsheng

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Ruan, Wei

• Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences

Ruano, Josué

• Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis

Rudd, James H.F.

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

Rudin, Cynthia

• This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Rue, Nejung

• RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features

Rueckert, Daniel

• Predicting Longitudinal Brain Development via Implicit Neural Representations
• Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging
• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI
• Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
• Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
• A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

Rueckert, Tobias

• DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Rui, Shaohao

• CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Ruiperez-Campillo, Samuel

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Rumberger, Josef Lorenz

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Ruurda, Jelle

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

Rwebembera, Joselyn

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Ryou, Hosuk

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Ryser, Marc D.

• MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Rätsch, Gunnar

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Saadat, Armin

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Saakyan, William

• Improving Autism Detection with Multimodal Behavioral Analysis

Sable, Craig A.

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Sabuncu, Mert R.

• Generating Novel Brain Morphology by Deforming Learned Templates
• Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Sachdeva, Bhuvan

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Sack, Ingolf

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Sadafi, Ario

• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Sadegheih, Yousef

• LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation

Sadri, Amir Reza

• Mutual Information Regularization for Fairness-aware Deep Imaging Representations

Saeed, Almiqdad

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Saeed, Shaheer U.

• Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images

Safaei, Bardia

• StepAL: Step-aware Active Learning for Cataract Surgical Videos

Safdari, Reza

• MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Sagl, Benedikt

• OsteoOpt: A Bayesian Optimization Framework for Enhancing Bone Union Likelihood in Mandibular Reconstruction Surgery

Sagong, Min

• Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Saha, Pramit

• Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos

Sahai, Sharifa

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Saibro, Güinther

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Saidha, Shiv

• Unsupervised OCT image interpolation using deformable registration and generative models

Saillard, Charlie

• Distilling foundation models for robust and efficient models in digital pathology

Saito, Hideo

• Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Saito, Kuniaki

• Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction

Sakuma, Jun

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Salahuddin, Suaiba A.

• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Salas, Jorge A.

• CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Salcudean, Septimiu E.

• Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting

Saleem, Afsah

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
• A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets

Saleem, Tausifa Jan

• MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

Salem, Mostafa

• MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
• DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
• ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Saltz, Joel

• Pathology Image Compression with Pre-trained Autoencoders

Samaras, Dimitris

• Pathology Image Compression with Pre-trained Autoencoders

San José Estépar, Raúl

• Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminant Lung Cancer Classification using Masked Autoencoders

Sanelli, Pina C.

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Sang, Haolin

• Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images

Sang, Yudi

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Sangalli, Sara

• Conformal forecasting for surgical instrument trajectory

Santamaria-Pang, Alberto

• WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Santhirasekaram, Ainkaran

• CF-Seg: Counterfactuals meet Segmentation

Santiago, Carlos

• Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Saporita, Alessia

• IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Saremi, Parham

• RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

Sarigianndis, Panagiotis

• NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

Sarkar, Ram

• Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

Sarwin, Gary

• Conformal forecasting for surgical instrument trajectory

Sasnarukkit, Chayapon

• EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Satia, Aarjav

• Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification

Sato, Imari

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Sato, Yoshinobu

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach
• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Savitha, Ramasamy

• MedGCD: Generalized Category Discovery in Medical Imaging

Scalbert, Marin

• Distilling foundation models for robust and efficient models in digital pathology

Scambia, Giovanni

• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Schaap, Michiel

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Schatz, Michael C.

• Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Scheuplein, Joshua

• DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging

Schillinger, Moritz

• Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

Schlarmann, Christian

• Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Schlereth, Maja

• Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss

Schmeiser, Hanna Maria

• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Schmetterer, Leopold

• Intra- and Cross-View Enhancement for OCTA Imaging
• Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Schmidt, Daniel F.

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Schmidt, Gustav

• Learning Disease State from Noisy Ordinal Disease Progression Labels

Schmidt-Erfurth, Ursula

• RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Schnabel, Julia A.

• Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
• Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
• Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

Schnabel, Till N.

• Multi-Linear 3D Craniofacial Infant Shape Model

Schneider, Steffen

• CytoSAE: Interpretable Cell Embeddings for Hematology

Schoenpflug, Lydia A.

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Scholz, Daniel

• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
• Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Schousboe, John T.

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Schroeppel, Thomas J.

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Schuh, Andreas

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Schuiveling, Mark

• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Schulthess, Nico

• Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture

Schultz, Robert T.

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Schultz, Thomas

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Schulz, Volkmar

• HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography

Schunkert, Heribert

• Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

Schwenker, Friedhelm

• Background-Invariant Independence-Guided Multi-head Attention Network for Skin Lesion Classification

Schönlieb, Carola-Bibiane

• Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Schüffler, Peter J.

• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Schürch, Christian M.

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Schütz, Pascal

• Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

Secrier, Maria

• Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer

See, Kyle B.

• WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Selin-Türk, Ilayda

• Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Selioutski, Olga

• This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Selivanov, Alexander

• Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Sellergren, Andrew

• CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Selvarajah, Dinesh

• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Semenova, Lesia

• This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Sena, Jessica

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Seo, Jung Woo

• MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation

Seo, Sang Won

• Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching

Seo, Seungbeom

• PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Seo, Sumin

• Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection

Serag, Ahmed

• From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

Serebro, Doron

• HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis

Serfaty, Jean-Michel

• Super-resolution and segmentation of 4D Flow MRI using Deep learning and Weighted Mean Frequencies

Serra, Carlo

• Conformal forecasting for surgical instrument trajectory

Setio, Arnaud A. A.

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Setsompop, Kawin

• Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Sha, Yuyang

• Contrastive Knowledge-Guided Large Language Models for Medical Report Generation

Shaaban, Mai A.

• MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

Shah, Nisarg A.

• StepAL: Step-aware Active Learning for Cataract Surgical Videos

Shah, Tosha

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Shahriari, Dena

• Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Shakeel, Muhammad Haroon

• CATVis: Context-Aware Thought Visualization

Shakeri, Fereshteh

• Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Shakil, Sadia

• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Shama, Deeksha M.

• LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG

Shan, Caifeng

• Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction
• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Shan, Hongming

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

Shang, Yu

• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Shao, Minye

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Shao, Wei

• LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
• Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Shao, Zhiming

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Shapey, Jonathan

• Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Shapiro, Linda G.

• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Sharma, Gagan

• Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment

Shaw, Greg L.

• Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Sheikh Zeinoddin, Mona

• Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Sheikh, Musadiq Aadil

• Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Shelton, Lillie

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Shen, Ao

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Shen, Audrey M.

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Shen, Bingzhi

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Shen, Cong

• DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Shen, Daiyun

• Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
• BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Shen, Dinggang

• Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging
• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis
• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data
• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images
• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation
• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis
• BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration
• Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks
• Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
• A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency
• A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

Shen, Hualei

• BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Shen, Linlin

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Shen, Liyue

• Single-spoke Motion-compensated Dynamic 3D MRI Reconstruction via Neural Representation

Shen, Mark D.

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Shen, Shaowei

• EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

Shen, Vyacheslav

• Interpretable fMRI Captioning via Contrastive Learning

Shen, Wei

• EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Shen, Xin

• Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Shen, Xing

• Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Shen, Xiongri

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Shen, Yiqing

• Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Shen, Zhenrong

• Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Shen, Zhiqiang

• ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

Sheng, Jiabao

• Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Sheng, Jiaxi

• SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

Sheng, Xiaoqi

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Sheng, Xicheng

• Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Sheng, Xichun

• Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Sheng, Zhe

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Shentu, Junjie

• DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

Shetty, Shravya

• CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Shi, Daqian

• Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

Shi, Enze

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
• BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Shi, Feng

• ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders
• A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

Shi, Hengcan

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending

Shi, Jian

• Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

Shi, Junyu

• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Shi, Kaibo

• End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization

Shi, Ke

• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Shi, Kuangyu

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset
• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Shi, Lulin

• Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance
• Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

Shi, Ruohua

• A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

Shi, Shuo

• Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

Shi, Weili

• A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning

Shi, Weiyang

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Shi, Wenlong

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Shi, Xiaoyu

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Shi, Yilei

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Shi, Yinghuan

• GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
• Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

Shi, Yiyu

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Shi, Yonggang

• UFO-3: Unsupervised Three-Compartment Learning for Fiber Orientation Distribution Function Estimation
• Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease
• Robust Topographical Representation for Longitudinal Propagation of Tau Pathology
• Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis
• GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Shi, Yu

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

Shi, Yukun

• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Shi, Yuxuan

• A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

Shim, Kyu Won

• From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation

Shimazui, Takashi

• CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Shin, Dong-Hee

• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Shin, Jongmin

• Towards Holistic Surgical Scene Graph
• CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition

Shin, Yejee

• Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Shiri, Mahshid

• MadCLIP: Few-shot Medical Anomaly Detection with CLIP

Shit, Suprosanna

• Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Shoby, Abin

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Shrestha, Nikesh

• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Shrestha, Yash R.

• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Shteynman, Yevgenia

• SIMPLE: Simultaneous Multi-plane Self-supervised Learning for Isotropic MRI Restoration from Anisotropic Data

Shu, Shelley Zixin

• On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

Shu, Ting

• Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis

Shu, Yiran

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Shu, Yucheng

• DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Shui, Zhongyi

• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Shukla, Ananya

• Spatial Prior-Guided Boundary and Region-Aware 2D Lesion Segmentation in Neonatal Hypoxic Ischemic Encephalopathy

Si, Qian

• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Si, Weixin

• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Si, Wenwen

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Siemens, Robert

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Sikder, Shameema

• StepAL: Step-aware Active Learning for Cataract Surgical Videos

Siless, Viviana

• VesselGPT: Autoregressive Modeling of Vascular Geometry

Silva, Wilson

• Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction

Silva-Rodríguez, Julio

• Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
• Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
• Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Silveira, Margarida

• Multi-scale Attention-based Multiple Instance Learning for Breast Cancer Diagnosis

Silvestre, Guénolé

• Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Sim, Jaeyoon

• MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

Sim, Marc

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Simonetti, Orlando

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Sims, Zachary

• Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis

Sinclair, Matthew

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Singh, Harshdeep

• Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

Singh, Imraj

• DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

Singh, Pravendra

• Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness
• Addressing Label Scarcity and Domain Shift in Medical Image Segmentation

Singh, Richa

• Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Singri, Niharika

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Sinnona, Martin

• VesselGPT: Autoregressive Modeling of Vascular Geometry

Siomos, Vasilis

• FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Sitek, Arkadiusz

• RegScore: Scoring Systems for Regression Tasks
• GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

Sivaanpu, Anparasy

• OralSAM: One-shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy

Sivakumar, Ssharvien Kumar

• SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

Sivaprasad, Sarath

• Automated Detection of Abnormalities in Zebrafish Development

Sizikov, Meshi

• Cross-Modal CXR-CTPA Knowledge Distillation using latent diffusion priors towards CXR Pulmonary Embolism Diagnosis

Slabaugh, Greg

• XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

Smolak-Dyżewska, Weronika

• PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

So, Hon Yiu

• MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Soans, Rajath

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Sodickson, Daniel K.

• Harnessing Side Information for Highly Accelerated MRI

Sohn, Chul-Ho

• Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Sojoudi, Samira

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Sokolsky, Oleg

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Solebo, Ameenat

• Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

Solenthaler, Barbara

• Multi-Linear 3D Craniofacial Infant Shape Model

Son, Geonhui

• Physics-driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis

Son, Wan Gyu

• Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI

Son, Wonjun

• CT-Based Hippocampus Segmentation with Dual-Decoder Network (HDD-Net)

Son, Young-Han

• Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging

Song, Bo

• Edge-Aware Token Halting for Efficient and Accurate Medical Image Segmentation

Song, Chenyue

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Song, Dingjie

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Song, Diping

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Song, Haiyu

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Song, Hong

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Song, Hongning

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Song, In-Seok

• DuoDent: Tooth Generation using Dual-Stream Diffusion with Normal Consistency

Song, Jinsol

• Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Song, Mengdie

• MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Song, Ming

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Song, Pei-Cheng

• Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Song, Shanshan

• EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Song, Sibo

• Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Song, Sifan

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics
• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Song, Su Jeong

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Song, Tao

• FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

Song, Tianyu

• Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Song, Xiaolei

• BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration

Song, Xinrui

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Song, Xinyu

• Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

Song, Yang

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
• Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation
• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Song, Zhenxi

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Song, Zhijian

• Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance
• Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Song, Zhiwei

• Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification
• Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Song, Zhiyun

• Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Song, Zikai

• MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
• Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Soni, Ravi

• Learning Foundation Models from Multi-Organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures

Sonsbeek, Tom van

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Sotiras, Aristeidis

• Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Soubra, Yasmine

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Soussia, Mayssa

• Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity

Souza,Roberto

• Investigating Voxel-level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation

Sowmya, Arcot

• UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

Sozanska, Anna

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Spampinato, Concetto

• Radar-Based Imaging for Sign Language Recognition in Medical Communication

Sparks, Rachel

• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Speidel, Stefanie

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting
• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Spieker, Veronika

• Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI

Spinat, Quentin

• Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Spurek, Przemysław

• PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy

Sridhar, Sindhura

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Srivastav, Vinkle

• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
• Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

St. John, Tanya

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Staartjes, Victor

• Conformal forecasting for surgical instrument trajectory

Standish, Kristopher

• GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification

Stanic, Goran

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Stanley, Emma A. M.

• Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

Starck, Sophie

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Stauffer, Tobias

• Automated Integration of Surgical Implants into Digital Twins for Trauma Surgery
• 6D Object Pose Tracking for Orthopedic Surgical Training using Visual-Inertial Sensor Fusion

Stayman, J. Webster

• Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Stefanidis, Angelos

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Stegmaier, Johannes

• HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography
• CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

Steidle, Florian

• KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Stelter, Jonathan

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Stieber, Jonathan

• Equitable Federated Learning with NCA

Stille, Maik

• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Stollenga, Marijn

• HyperSORT: Self-Organising Robust Training with hyper-networks

Stolt-Ansó, Nil

• Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Stoyanov, Danail

• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
• Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion
• 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

Strobl, Klaus

• KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Styner, Martin

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Su, Bo

• VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

Su, Chenyang

• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Su, Haoyang

• CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Su, Huaqiang

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Su, Jingyong

• Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Su, Jionglong

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Su, Kehua

• Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrödinger Bridge

Su, Li

• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Su, Ruisheng

• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Su, Tonghua

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

Su, Weifeng

• PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Su, Xinqi

• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Su, Yanzhou

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Su, Yiyan

• Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Su, Zhihao

• MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Subramanian, Vaishnavi

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Subramanian, Venkataraman

• ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

Suehara, Kazuki

• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Sugano, Nobuhiko

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Sui, An

• Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

Sui, Zhilin

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Suk, Heung-Il

• Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

Sulam, Jeremias

• Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Sultana, Nurjahan

• Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Summers, Ronald M.

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Sun, Bai

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image

Sun, Bo

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Sun, Dai

• NeRF-based CBCT Reconstruction needs Normalization and Initialization

Sun, Guiyu

• ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Sun, Hao

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Sun, Haozhong

• Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Sun, Hongze

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Sun, Jiajun

• Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Sun, Jian

• MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation
• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Sun, Jianqi

• RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration
• MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Sun, Jinghan

• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Sun, Kaicong

• Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging
• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images
• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis
• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

Sun, Lianglong

• TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Sun, Lichao

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Sun, Longyu

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Sun, Luhao

• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Sun, Mengting

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Sun, Mingzhai

• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Sun, Qitai

• GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Sun, Quanlin

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

Sun, Rui

• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Sun, Rui-Qing

• Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Sun, Shanhui

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Sun, Susu

• Subgroup Performance Analysis in Hidden Stratifications
• Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification

Sun, Weibing

• UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Sun, Weixiang

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Sun, Xiaoxue

• Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Sun, Yaoqi

• Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Sun, Yifei

• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Sun, Yihua

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Sun, Yiqun

• Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

Sun, Yong

• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Sun, Yongheng

• Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Sun, Yuanyuan

• SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Sun, Yue

• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models
• SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement
• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images
• BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

Sun, Yusong

• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Sun, Yuxuan

• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Sun, Zhe

• Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Sun, Zhichao

• Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation
• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Sun, Zijun

• VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Sundaresan, Vaanathi

• Inter-class separability loss for weakly supervised mutually exclusive multiclass segmentation of brain tumor lesions

Sung, Minsik

• R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Susetzky, Tobias

• A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data

Suter, David

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Suzuki, Kenji

• GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

Suzuki, Yushi

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Svensson, Lennart

• Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes

Swain, Bishal Ranjan

• Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer

Swanson, Meghan R.

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Syeda-Mahmood, Tanveer

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Szczepański, Tomasz

• RegScore: Scoring Systems for Regression Tasks
• GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

Szeto, Justin

• Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

Sznitman, Raphael

• Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Ta, Na

• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Taj, Murtaza

• Localization Lens for Improving Medical Vision-Language Models
• CATVis: Context-Aware Thought Visualization

Takac, Martin

• MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search

Takashima, Kazuma

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach

Takatsume, Yoshifumi

• Occlusion-free 4D Gaussians for Open Surgery Videos Using Multi-Camera Shadowless Lamps

Takeuchi, Ichiro

• Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Talabot, Nicolas

• Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Talbot, Hugues

• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Tambe, Utkarsh Yashwant

• ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation

Tan, Bingyao

• Intra- and Cross-View Enhancement for OCTA Imaging
• Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Tan, Guanghua

• Concept-induced Graph Perception Model for Interpretable Diagnosis

Tan, Ru San

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Tan, Shan

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Tan, Shu Yun

• EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

Tan, Shufang

• TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation

Tan, Tao

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models
• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
• SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
• Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• Paired Image Generation with Diffusion-Guided Diffusion Models
• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement
• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images
• BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Tan, Wenjun

• Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Tan, Xiaoyu

• Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models
• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Tan, Yee-Fan

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Tan, Yen Y.

• Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer

Tan, Zhiwei

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Tanaka, Toshihisa

• Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Tandogdu, Zafer

• Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion

Tang, Angie

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Tang, Chang

• PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

Tang, Cheng

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Tang, Dennis

• This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Tang, Dong

• ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

Tang, Fei

• Training state-of-the-art pathology foundation models with orders of magnitude less data

Tang, Feilong

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Tang, Fenghe

• U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Tang, Hao

• Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Tang, He

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Tang, Hongzhong

• KMUNet: A novel medical image segmentation model based on KAN and Mamba

Tang, Jiachen

• Training-free Test-time Improvement for Explainable Medical Image Classification

Tang, Jiao

• LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
• Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Tang, Jijun

• DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Tang, Jin

• Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

Tang, Kaibo

• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Tang, Liming

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Tang, Raymond Shing-Yan

• MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

Tang, Tianhong

• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Tang, Wei

• Blind Restoration of High-Resolution Ultrasound Video

Tang, Xiaoqin

• Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Tang, Xiaoying

• UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning
• Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution
• Masked Contrastive Language-Image Modeling For Brain Segmentation

Tang, Xinyu

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Tang, Ye

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Tang, YuCheng

• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Tang, Yue

• BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

Tang, Yuxian

• ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval

Tang, Yuxing

• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Tang, Zhenyu

• Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation
• Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Tang, Zhihang

• V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

Tang, Zixin

• A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency

Tang, Zixuan

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Tang, Ziyao

• Target Prior-enriched Implicit 3D CT Reconstruction with Adaptive Ray Sampling

Tao, Guihua

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Tao, Guowei

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Tao, Haisu

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Tao, Qian

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
• Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
• Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

Tao, Xiaodong

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Tao, Xing

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Tao, Yaling

• Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Tapia Corón, Sebastián

• Multi-Linear 3D Craniofacial Infant Shape Model

Tapp, Austin

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Tarapov, Ivan

• WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Taratynova, Darya

• Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

Tardós, Juan D.

• EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy

Tarroni, Giacomo

• FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Tasharofi, Farid

• FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Taskin, Billurvan

• Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Tawk, Bouchra

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Taylor, Paul

• Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

Taylor, Russell H.

• FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
• Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

Taylor, William R.

• Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

Tchita, Oussama

• Distilling foundation models for robust and efficient models in digital pathology

Teboul, Olivier

• Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View

Teh, Kevin

• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Tehlan, Kartikay

• Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

TehraniNasab, Zahra

• RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models

Teneggi, Jacopo

• Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Teng, Gao-Jun

• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Teng, Lin

• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
• A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

Teng, Qiaoying

• Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Teng, Shiyu

• Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction

Tessier, David

• A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

Tew, Hwa Hui

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

Thaler, Franz

• FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

Tham, Yih Chung

• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Thanou, Dorina

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Thielemans, Kris

• DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model

Thies, Mareike

• FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction

Thirunavukarasu, Arun J.

• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Thom, Daniel

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Thomas, Emily

• Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Thompson, Peter

• Deep Learning-based Alignment Measurement in Knee Radiographs

Thomson, Robert

• BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Thoppey Srinivasan Balamuralikrishna, Praveen

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Thrun, Solveig

• VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Tian, Congyu

• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Tian, Feng

• UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Tian, Hengrui

• LesionDiffusion: Towards Text-controlled General Lesion Synthesis

Tian, Hongnian

• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement

Tian, Jie

• TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction
• IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image
• Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images
• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis
• CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Tian, Jun

• DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Tian, Lele

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Tian, Qingyao

• EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Tian, Shengwei

• R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs

Tian, Xin

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Tian, Yinjiao

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Tian, Yu

• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Timmerman, Dirk

• Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Ting, Chee-Ming

• T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
• Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification

Tiulpin, Aleksei

• Deep Learning-based Alignment Measurement in Knee Radiographs

Tivnan, Matthew

• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

To, Minh Nguyen Nhat

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

To, Minh-Son

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Tokunaga, Kunihiko

• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Toloubidokhti, Maryam

• Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Tolsgaard, Martin G.

• Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
• General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound

Toma, Augustin

• Exploring the Design Space of 3D MLLMs for CT Report Generation

Toman, Raneem

• ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation

Tompsett, Alison

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Tong, Huan

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Tong, Linjie

• Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Tong, Raymond Kai-yu

• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Tong, Shuo

• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Tong, Tong

• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

Tong, Wenjuan

• UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

Tong, Yuqi

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Topf, Michael

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Tordjman, Daniel

• RadSAM: Segmenting 3D radiological images with a 2D promptable model

Torzilli, Guido

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Tozzi, Francesca

• Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Tran, Sen

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Trang, Bailey

• Generating Novel Brain Morphology by Deforming Learned Templates

Tregidgo, Henry F. J.

• Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS

Triaridis, Kostas

• Pathology Image Compression with Pre-trained Autoencoders

Triebel, Rudolph

• KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Trinh, Elvis

• DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

Tripathi, Abhai K.

• Adaptive Stain Normalization for Cross-Domain Medical Histology

Triphan, Simon M. F.

• A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

Tristram, Felix

• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Truhn, Daniel

• Abnormality-Driven Representation Learning for Radiology Imaging

Trzciński, Tomasz

• RegScore: Scoring Systems for Regression Tasks
• GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation

Tsai, Andy

• Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Tsang, Michael Y.

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Tsang, Teresa S. M.

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Tsolaki, Magda

• NeuroXVocal: Detection and Explanation of Alzheimer’s Disease through Non-invasive Analysis of Picture-prompted Speech

Tsui, Hubert

• Physics-guided deep image prior network for general zero-shot stain deconvolution

Tu, Danyang

• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Tu, Zhengzheng

• Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Turgut, Özgün

• Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Tursynbek, Nurislam

• Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

Tzschätzsch, Heiko

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Uemura, Keisuke

• Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-Modality Survival Analysis Approach
• Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System

Ufitinema, Grace

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Ujemurwego, Florien

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Ullaskrishnan, Poikavila

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Ulrich, Constantin

• The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Unberath, Mathias

• Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins
• FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
• Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

Urschler, Martin

• FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

Vakalopoulou, Maria

• Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data

Valbusa, Giovanni

• LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction

Valenzuela, Ignacio

• Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Valter, Daria

• Distilling foundation models for robust and efficient models in digital pathology

Vamosi, Finn G.

• Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

Van Calster, Ben

• Calibration in Multiple Instance Learning: Evaluating Aggregation Methods for Ultrasound-Based Diagnosis

Van Dyck, Michiel

• MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Van Horn, John Darrell

• Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
• BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Van Vessem, John Derek

• Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Van de Panne, Michiel

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Vancamberg, Laurence

• Deep Learning Framework for Managing Inter-Reader Variability in Background Parenchymal Enhancement Classification for Contrast-Enhanced Mammography

Vankerschaver, Joris

• SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification
• Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Vardazaryan, Armine

• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Vasconcelos, Francisco

• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction

Vaseli, Hooman

• PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis

Vateekul, Peerapon

• EndoPlanar: Deformable Planar-based Gaussian Splatting for Surgical Scene Reconstruction

Vatsa, Mayank

• Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds

Vedula, S. Swaroop

• StepAL: Step-aware Active Learning for Cataract Surgical Videos

Veeraraghavan, Ashok

• Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation

Venkataraman, Archana

• LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG
• Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
• BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis

Venkatesh, Danush Kumar

• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Vercauteren, Tom

• Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Verde, Juan Manuel

• C-NCA : Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation

Verjans, Johan

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Verspoor, Karin

• Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation

Veta, Mitko

• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
• Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

Viallon, Magalie

• Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods

Vidal, René

• IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Vigneshwaran, Vibujithan

• Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

Vincent-Cuaz, Cédric

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Viriyasaranon, Thanaporn

• MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion

Viscione, Marco

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Viswanath, Satish E.

• Mutual Information Regularization for Fairness-aware Deep Imaging Representations

Viswanathan, Abhishek

• Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Vock, Raphaël

• Does Connectome Harmonic Analysis pass the Spin Test?

Vogl, Florian

• Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

Vogt, Julia E.

• Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Vogt, Yannick

• One For All: A Unified Approach to Classification and Self-Explanation

Voiculescu, Irina

• Confidence in Angle Predictions for Clinical Decision Support

Volpi, John

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Vu, Anh M.

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Vu, Huan

• ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset

Vyas, Kushal

• Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation

Völzke, Henry

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Wachinger, Christian

• X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Wagner, Martin

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting
• Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Wahd, Assefa

• Time-Contrastive Pretraining for In-Context Image and Video Segmentation

Walczak, Lars

• Multifrequency Neural Network-based Wave Inversion in MR Elastography

Wald, Tassilo

• The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection

Walimbe, Soham

• Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Wallace, Ben

• RAPTOR: Generative AI for Parsing Colorectal Cancer Referrals to Streamline Faster Diagnostic Standard Pathways

Wan, Cheng

• WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

Wan, Guojia

• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Wan, Jian

• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Wan, Peng

• LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
• Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Wan, Qian

• Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Wan, TongHua

• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Wan, Tonghua

• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation

Wan, Xiang

• Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond
• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Wan, Xingyu

• Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Wan, Xixi

• SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

Wan, Yan

• IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
• DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT

Wang, Alan Q.

• Generating Novel Brain Morphology by Deforming Learned Templates

Wang, Anbang

• Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Wang, Anli

• Towards Automated Pediatric Dental Development Staging: A Dataset and Model

Wang, Bo

• Exploring the Design Space of 3D MLLMs for CT Report Generation

Wang, Bomin

• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Wang, Boqian

• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Wang, Changmiao

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
• MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction
• Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX
• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
• Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking
• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans
• Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Wang, Chao

• MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
• ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation
• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Wang, Chen

• Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals
• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Wang, Cheng

• EndoGen: Conditional Autoregressive Endoscopic Video Generation

Wang, Chengyan

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Wang, Chengyuan

• ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Wang, Chenhui

• Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

Wang, Chunjiang

• PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation

Wang, Chunlian

• Concept-induced Graph Perception Model for Interpretable Diagnosis

Wang, Chunyu

• A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

Wang, Dadong

• UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

Wang, Dan

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Wang, Dong

• DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

Wang, Dongfang

• Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

Wang, Du

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Wang, Fan

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
• CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching
• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Wang, Fangyijie

• Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images

Wang, Feng

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Wang, Fu

• Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Wang, Gang

• PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Wang, Ge

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Wang, Guankun

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting

Wang, Guisheng

• AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Wang, Guoan

• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Wang, Guoli

• Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

Wang, Guoping

• Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Wang, Guotai

• UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model
• TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
• SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning
• StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap
• ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation
• OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
• FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation
• Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
• CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Wang, Haifeng

• Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Wang, Hailing

• Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

Wang, Haiqiao

• EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration

Wang, Hanzhong

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Wang, Haoran

• Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance

Wang, Haowen

• Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Wang, Haoyu

• Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-Contrast Scans

Wang, Hong

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
• A Prior-Driven Lightweight Network for Endoscopic Exposure Correction
• A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Wang, Hongkai

• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Wang, Hongpeng

• Compact Training-free NAS with Alternating Evolution Game for Medical Image Segmentation

Wang, Hongqiu

• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
• Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Wang, Huabin

• Anatomical Graph-based Multilevel Distillation for Robust Alzheimer’s Disease Diagnosis with Missing Modalities

Wang, Huadeng

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Wang, Hualiang

• VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
• Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction

Wang, Huanjun

• T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Wang, Huayu

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Wang, Hui-Po

• Automated Detection of Abnormalities in Zebrafish Development

Wang, Huihan

• FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation

Wang, James Z.

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Wang, Jiacheng

• LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification
• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Wang, Jiahao

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

Wang, Jiajun

• AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Wang, Jiamu

• Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Wang, Jian

• Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Wang, Jianxin

• VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
• Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
• MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Wang, Jianye

• 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

Wang, Jianyong

• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Wang, Jiaqi

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images
• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

Wang, Jiaze

• Medical Large Vision Language Models with Multi-Image Visual Ability

Wang, Jiazhen

• MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

Wang, Jiazheng

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Wang, Jie

• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Wang, Jinfeng

• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition

Wang, Jing

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing
• MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

Wang, Jinhao

• Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging

Wang, Jinliang

• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising
• 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

Wang, Jinyuan

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Wang, Juan

• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis

Wang, Jueqi

• Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Wang, Junwen

• Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation

Wang, Junyi

• SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
• A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

Wang, Junze

• MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI
• Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities

Wang, Kai

• Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
• MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

Wang, Kang

• Learning Segmentation from Radiology Reports

Wang, Kuanquan

• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
• A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients

Wang, Kun

• Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Wang, Kunpeng

• Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Wang, Lanlan

• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Wang, Lehan

• VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

Wang, Li

• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Wang, Liam J.

• FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation

Wang, Liang

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
• Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Wang, Liansheng

• Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction
• RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
• Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
• DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation
• Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection
• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
• Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation
• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
• A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging

Wang, Linwei

• Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling
• IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Wang, Litingyu

• ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation

Wang, Manning

• Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance
• Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Wang, Maoyu

• Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Wang, Meng

• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Wang, Mengyu

• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Wang, Mingliang

• VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

Wang, Nan

• Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

Wang, Ningli

• RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Wang, Peiqi

• Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Wang, Peiran

• Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Wang, Peng

• Towards Automated Pediatric Dental Development Staging: A Dataset and Model
• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Wang, Ping

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Wang, Qian

• Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
• ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Wang, Qianqian

• Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
• Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Wang, Qifeng

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts

Wang, Qijie

• Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

Wang, Qimei

• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Wang, Qiong

• Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Wang, Qiufeng

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Wang, Qiuying

• Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Wang, Rong

• SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Wang, Rongfang

• MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

Wang, Rongsheng

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

Wang, Roujia

• Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation

Wang, Rui

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Wang, Ruikang K.

• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Wang, Ruixuan

• Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
• Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
• Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Wang, Runze

• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Wang, Ruofan

• Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

Wang, Ruxin

• Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis
• Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

Wang, Sen

• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Wang, Shanshan

• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination
• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Wang, Shaolong

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Wang, Sheng

• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Wang, Shimeng

• Unsupervised OCT image interpolation using deformable registration and generative models

Wang, Shuai

• Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Wang, Shujun

• Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Wang, Shuo

• Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
• ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation
• Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images
• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Wang, Sihan

• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Wang, Siqi

• DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Wang, Tao

• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

Wang, Tianfu

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Wang, Tianqi

• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Wang, Wei

• Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction
• UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
• Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
• Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
• Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
• Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline

Wang, Weiming

• Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Wang, Weitao

• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Wang, Wenyao

• A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation

Wang, Xi

• Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Wang, Xiaofei

• Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Wang, Xiaofeng

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI

Wang, Xiaosong

• CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Wang, Xiaotian

• GLM-SFNet: Global-Local Vision-Mamba with Semantic Fusion for Medical Image Segmentation

Wang, Xin

• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation
• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network
• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Wang, Xinkai

• Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

Wang, Xinkun

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Wang, Xinlu

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Wang, Xinru

• SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Wang, Xinyu

• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Wang, Xinyuan

• DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Wang, Xu

• Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment
• 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

Wang, Xuemei

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Wang, Xuemin

• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Wang, Xuhui

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

Wang, Xujia

• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Wang, Yajie

• Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Wang, Yan

• Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation
• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
• Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
• Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Wang, Yanfeng

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Wang, Yi

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
• EUReg: End-to-end Framework for Efficient 2D-3D Ultrasound Registration
• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography
• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Wang, Yifan

• OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

Wang, Yifang

• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Wang, Yihan

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Wang, Ying

• Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation
• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Wang, Yipei

• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Wang, Yipeng

• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Wang, Yiran

• WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference

Wang, Yirui

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Wang, Yishun

• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Wang, Yiwei

• CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

Wang, Yixiu

• EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Wang, Yonghao

• Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Wang, Yu

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Wang, Yuan

• V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis

Wang, Yuanhan

• Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Wang, Yuanyuan

• VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

Wang, Yuanzhuo

• Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading

Wang, Yucheng

• Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Wang, Yueming

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Wang, Yuhan

• Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

Wang, Yuhao

• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models
• Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

Wang, Yujie

• SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search

Wang, Yuli

• Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Wang, Yulin

• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
• MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

Wang, Yuning

• Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Wang, Yuxi

• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Wang, Yuxuan

• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Wang, Zesong

• P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Wang, Zeyu

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Wang, Zheng

• Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation

Wang, Zhihua

• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Wang, Zhihui

• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Wang, Zhikang

• Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

Wang, Zhipeng

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Wang, Zhisong

• Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

Wang, Zhiwei

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection
• Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

Wang, Zhiyuan

• GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Wang, Zhongya

• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Wang, Zhuhao

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Wang, Zian

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Wang, Zihan

• FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Wang, Ziheng

• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Wang, Zipei

• TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction
• CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Wang, Ziyi

• Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video

Wang, Ziyue

• ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Warner, William R.

• Sparse-XM: Spine Pose Adjustment with RGB-D Bone Segmentation via Cross-Modality Label Transfer

Watson, Angus

• Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Watson, Matthew

• DiDGen: Diffusion-based Dual-task Synthesis for Dermoscopic Data Generation

Webber, George

• Supervised Diffusion-Model-Based PET Image Reconstruction

Wei, Benzheng

• Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem

Wei, Bingzheng

• TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration
• FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
• All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Wei, Bo

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Wei, Dong

• RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

Wei, Guangshun

• Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Wei, Jie

• StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap

Wei, Linda

• VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

Wei, Peiwei

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Wei, Qijie

• FunBench: Benchmarking Fundus Reading Skills of MLLMs

Wei, Shaolong

• VT-SNN: Variable Time-step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis

Wei, Shubin

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Wei, Shuwen

• Unsupervised OCT image interpolation using deformable registration and generative models

Wei, Wei

• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Wei, Xiyuan

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Wei, Yangyang

• Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Wei, Yibo

• PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA

Wei, Zechen

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Wei, Zhikai

• Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Wei, Zhipeng

• Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Wei, Ziquan

• Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning

Weinheimer, Oliver

• A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

Weins, Astrid

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Weir-McCall, Jonathan

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

Weitz, Jürgen

• Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models

Wells III, William M.

• A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

Wen, Huiying

• E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

Wen, Jing

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Wen, Lu

• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Wen, Xuyun

• SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation

Wen, Zheyu

• LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer’s Disease

Wendler, Thomas

• Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

Weng, Jingchong

• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Weng, Yueyun

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Weng, Zehao

• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

Weng, Zhenyu

• MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Westover, M. Brandon

• This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Wetzer, Elisabeth

• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Weykamp, Fabian

• Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy

Wickstrøm, Kristoffer

• Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Wielpütz, Mark O.

• A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

Wiestler, Benedikt

• MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
• Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method

Willaert, Wouter

• Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations

Willems, Siri

• Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Williams, Michelle C.

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA

Willich, Stefan N.

• MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Willoughby, James

• Confidence in Angle Predictions for Clinical Decision Support

Wilms, Matthias

• Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging

Wilson, Paul

• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection

Winkler, Alexander

• BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation

Winklmayr, Claudia

• PathoCellBench: A Comprehensive Benchmark for Cell Phenotyping

Wintergerst, Maximilian W. M.

• Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery

Wittayanakorn, Nunthasiri

• Multi-Modal Graph-Based Machine Learning for Predicting Surgical Outcome in Epilepsy Patients

Wolf, Daniel

• Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Wolf, Tom Nuno

• X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Wolfers, Thomas

• Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

Wolterink, Jelmer M.

• Steerable Anatomical Shape Synthesis with Implicit Neural Representations

Won, Dong-Ok

• SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-Classification

Won, Jong Bum

• SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification

Won, Jongjun

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Wong, Bryan

• MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

Wong, Chun Kit

• Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound

Wong, Kelvin

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Wong, Ken C.L.

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Wong, Kenneth K. Y.

• UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

Wong, Stephen T. C.

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Wong, Terence T. W.

• Pathology-aware Virtual H&E Staining of Section-free Thick Tissues with Semantic Contrastive Guidance
• Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

Wong, Tien Yin

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Wong, Tien-Tsin

• D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis

Woo, Jonghye

• Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Wu, Anthony T.

• XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Wu, Carol

• MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Wu, Chao

• Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Wu, Chaoyi

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Wu, Chengchuan

• Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment

Wu, Chunwei

• Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation

Wu, Dan

• Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Wu, Di

• DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Wu, Dufan

• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Wu, Fuping

• Uncertainty-Supervised Interpretable and Robust Evidential Segmentation

Wu, Guorong

• Conditional Graph Diffusion with Topological Constraints for Brain Network Generation
• Brain-Environment Cross-Attention (BECA) Meta-Matching: A New Perspective of Brain Connectome Zero-Shot Learning
• Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction

Wu, Han

• Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

Wu, Han-Ru

• World Model for AI Autonomous Navigation in Mechanical Thrombectomy

Wu, Hao

• Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis
• Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

Wu, Hong

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Wu, Huanan

• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Wu, Hubing

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Wu, Huisi

• Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection

Wu, Ji

• Medical Contrastive Learning of Positive and Negative Mentions

Wu, Jian

• V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
• Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
• Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models

Wu, Jianghao

• TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
• FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation
• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Wu, Jiankai

• Bowsher prior Enhanced Unsupervised PET image Denoising

Wu, Jie Ying

• NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
• From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training
• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Wu, Jing

• Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Wu, Jinge

• Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing

Wu, Jinglong

• UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

Wu, Jinlin

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes
• Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Wu, Joy

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports

Wu, Junde

• ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking
• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Wu, Junhua

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Wu, Junlei

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Wu, Kaijie

• Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

Wu, Kaishun

• Temporal Model-Based Federated Active Medical Image Classification
• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery

Wu, Kaiyuan

• CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Wu, Kecheng

• FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

Wu, Lei

• MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts

Wu, Lianming

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Wu, Ling

• Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Wu, Linshan

• Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Wu, Mengqi

• Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion

Wu, Minghui

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Wu, Mingjun

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Wu, Mingxiang

• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Wu, Nian

• Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Wu, Pei

• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Wu, Peiran

• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Wu, Qiuxia

• T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification

Wu, Ruiqi

• Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Wu, Shaoju

• Temporal Atlas-Guided Generation of Longitudinal Data via Geometric Latent Embeddings

Wu, Shaoxuan

• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Wu, Songxiong

• You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection

Wu, Taiyi

• Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

Wu, Taoyu

• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Wu, WeiLong

• Medical Contrastive Learning of Positive and Negative Mentions

Wu, Weitong

• HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Wu, Weiwen

• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis
• Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Wu, Wenbin

• SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
• EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Wu, Winnie

• Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions

Wu, Xi

• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

Wu, Xia

• Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization

Wu, Xian

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
• RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Wu, Xiaotong

• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis

Wu, Xinbao

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Wu, Xinyao

• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Wu, Xuanbin

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Wu, Yanan

• Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Wu, Yanlin

• Adaptive Stain Normalization for Cross-Domain Medical Histology

Wu, Ye

• Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions
• A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

Wu, YeLi

• Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Wu, Yi

• Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images
• Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features

Wu, Yicheng

• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending
• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Wu, Yijie

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Wu, Yuanquan

• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Wu, Yuli

• CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

Wu, Yun

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Wu, Yuncong

• Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning

Wu, Zhangyue

• RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

Wu, Zhaodong

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Wu, Zhengwang

• Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Wu, Zhenquan

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Wu, Zhijian

• A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

Wu, Zhiying

• F2PASeg: Feature Fusion for Pituitary Anatomy Segmentation in Endoscopic Surgery

Wu, Zhongxue

• Bowsher prior Enhanced Unsupervised PET image Denoising

Wu, Zihuang

• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

Wu, Zijian

• Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Wu, Ziyan

• PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Wysocki, Magdalena

• UltrON: Ultrasound Occupancy Networks
• UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation
• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Wåhlstrand, Victor

• Separable tissue representations for attributable risk prediction

Wölflein, Georg

• Abnormality-Driven Representation Learning for Radiology Imaging

Wörz, Stefan

• ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Xi, Xiaoming

• MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

Xia, Chen

• Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Xia, Jing

• Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits

Xia, Kun

• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Xia, Tian

• Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
• CF-Seg: Counterfactuals meet Segmentation

Xia, Yong

• Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
• Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap
• SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation
• RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images
• Personalized Federated Side-Tuning for Medical Image Classification
• Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation
• Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data
• Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
• Cycle Context Verification for In-Context Medical Image Segmentation
• CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Xiang, An

• ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

Xiang, Jinyi

• CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs
• A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Xiang, Lei

• Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

Xiang, Tianqi

• MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

Xiang, Xucheng

• HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Xiang, Ying

• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Xiao, Anqi

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Xiao, Bin

• DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Xiao, Boyi

• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Xiao, Deqiang

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Xiao, Haoke

• SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Xiao, Jianghong

• Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

Xiao, Junbin

• Unleashing the Power of LLMs for Medical Video Answer Localization

Xiao, Li

• Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis

Xiao, Qianmu

• Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Xiao, Ruiqiang

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Xiao, Sa

• Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Xiao, Wenbo

• A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Xiao, Yanmei

• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Xiao, Yi

• A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

Xie, Chun

• SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

Xie, Haoyu

• You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection

Xie, Housheng

• PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

Xie, Jianhao

• MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Xie, Jianyang

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting
• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
• A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Xie, Jinheng

• Temporal Model-Based Federated Active Medical Image Classification

Xie, Lingfeng

• DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

Xie, Meng

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Xie, Qihang

• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Xie, Shaomin

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Xie, Taofeng

• Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

Xie, Weichen

• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models

Xie, Weidi

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Xie, Xiaohui

• XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning

Xie, Xiaoling

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Xie, Xinghe

• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

Xie, Xinyu

• Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
• BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Xie, Yangyang

• PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Xie, Yutong

• PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts

Xing, Fangxu

• Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Xing, Lei

• Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Xing, Qilong

• MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
• Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Xing, Rubo

• Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control

Xing, Shuwei

• A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation

Xing, Xiaofen

• Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Xing, Zeyu

• Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals

Xing, Zhaohu

• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation
• FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images

Xing, Zheng

• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Xiong, Hao

• BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Xiong, Honglin

• Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET
• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Xiong, Shan

• Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images

Xiong, Tong

• Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Xiong, Xiangyu

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Xiong, Xinyu

• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation

Xiong, Yuanhuan

• Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

Xiong, Zizhan

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Xu, Boqiang

• MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery

Xu, Chang

• DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents

Xu, Chenchu

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Xu, Chi

• SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation

Xu, Daguang

• Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases

Xu, Dunyuan

• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation

Xu, Feng

• FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

Xu, Gelei

• Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Xu, Geng-Xin

• Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Xu, Heming

• Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis

Xu, Hongming

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
• Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
• Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Xu, Hongxia

• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Xu, Hongyan

• UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution

Xu, Hongzhi

• Unsupervised Structure-Geometric Consistency for Monocular Endoscopic Depth Overestimation

Xu, Hui

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Xu, Huihui

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization

Xu, Jiabo

• VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

Xu, Jiakun

• Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Xu, Jiaxing

• BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
• Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Xu, Jiayi

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Xu, Jilan

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Xu, Jinfeng

• Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Xu, Jingxian

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Xu, Jingyi

• Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Xu, Jinjing

• T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting

Xu, Jun

• MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Xu, Kangrong

• Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

Xu, Lei

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Xu, Lisa X.

• RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Xu, Lisheng

• Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Xu, Liying

• CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Xu, Mai

• Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Xu, Mengjie

• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Xu, Mengya

• Surgical Action Planning with Large Language Models
• CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

Xu, Miao

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

Xu, Minfeng

• Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Xu, Ningsheng

• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Xu, Peirong

• SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS

Xu, Pengbo

• MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction

Xu, Qi

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
• MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts
• Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Xu, Qing

• Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Xu, Ronald X.

• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Xu, Rui

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
• Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
• Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation
• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Xu, Ruihong

• PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Xu, Shawn

• CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Xu, Shuting

• Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models

Xu, Songhua

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Xu, Sonnet

• BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

Xu, Tian

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Xu, Tianyue

• Adaptive Stain Normalization for Cross-Domain Medical Histology

Xu, Tingfa

• Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

Xu, Weidi

• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support

Xu, Weixin

• IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image

Xu, Xiangmin

• Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Xu, Xiaowei

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Xu, Xiuyuan

• Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

Xu, Xuanang

• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Xu, Yan

• TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration
• FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
• All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Xu, Yanwu

• Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
• Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification
• EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

Xu, Yanyu

• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Xu, Yidan

• Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis

Xu, Yiling

• A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

Xu, Yin

• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

Xu, Yinghui

• Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
• MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Xu, Yingke

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Xu, Yong

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Xu, Yongchao

• Test-Time Training with Local Contrast- Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation
• Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation
• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Xu, Yuekai

• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Xu, Yueyue

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Xu, Zhaoliang

• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Xu, Zhe

• RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Xu, Zhikang

• Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Xu, Zhoubing

• MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Xu, Zhuowei

• NeRF-based CBCT Reconstruction needs Normalization and Initialization

Xue, Haochen

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Xue, Hui

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Xue, Jun

• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Xue, Le

• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

Xue, Meiting

• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Xue, Mengli

• Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition

Xue, Peng

• 3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model

Xue, Rundong

• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI

Xue, Shuailin

• Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Xue, Song

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Xue, Yuan

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Xun, Siyi

• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment

Xun, Yue

• Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Yacoub, Essa

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

Yamlahi, Amine

• Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Yan, Chenggang

• Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
• Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-Center fMRI Data Analysis
• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Yan, Haihao

• Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Yan, Jie

• Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Yan, Jielong

• Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction

Yan, Ke

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

Yan, Kun

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Yan, Miaoning

• PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Yan, Pingkun

• Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
• Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning

Yan, Rui

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

Yan, Senxiang

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Yan, Siyuan

• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
• Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Yan, Tianyi

• UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

Yan, Weicheng

• P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Yan, Wen

• Register Anything: Estimating “Corresponding Prompts” for Segment Anything Model

Yan, Xueqing

• Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations

Yan, Yige

• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Yan, Yuanting

• Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Yan, Yunlu

• Temporal Model-Based Federated Active Medical Image Classification

Yan, Zengqiang

• Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts

Yan, Zeya

• FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Yan, Zhiling

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Yan, Zhiqian

• PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Yan, Zhongnuo

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Yang, Bing

• CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

Yang, Bingyu

• Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data
• EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training

Yang, Chen

• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation
• SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift
• EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy
• Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

Yang, Cheng

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Yang, Chunyan

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Yang, Dawei

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Yang, Deqian

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Yang, Fan

• Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

Yang, Feng

• MedGCD: Generalized Category Discovery in Medical Imaging

Yang, Fengwei

• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Yang, Ge

• Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
• Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

Yang, Guang

• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
• Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

Yang, Guangzhengao

• Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Yang, Gyeongsik

• Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Yang, Haibo

• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Yang, Hao

• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Yang, Haoran

• Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction

Yang, Haosen

• PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Yang, Heran

• MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

Yang, Hongfei

• No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

Yang, Honglong

• EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography

Yang, Huigyu

• Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors

Yang, Jiahao

• Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

Yang, Jian

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
• Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
• DetectDiffuse: Aggregation- and Attention-driven Universal Lesion Detection with Multi-scale Diffusion Model

Yang, Jiancheng

• Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling
• DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Yang, Jianhua

• Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Yang, Jianwei

• Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

Yang, Jiaqi

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Yang, Jie

• Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
• EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

Yang, Jin

• Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Yang, Jing

• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

Yang, JingZhi

• Medical Contrastive Learning of Positive and Negative Mentions

Yang, Jingyun

• Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Yang, Jinzhu

• Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities
• ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
• BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

Yang, Kaiwen

• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

Yang, Kaiyuan

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation

Yang, Lian

• Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Yang, Lijian

• DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal

Yang, Lin

• CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Yang, Lingjie

• 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

Yang, Long

• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

Yang, Meimei

• Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis

Yang, Meng

• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Yang, Ming-Hsuan

• TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Yang, Peng

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Yang, Philip

• CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories

Yang, Piao

• EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Yang, Qianye

• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Yang, Qing

• PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

Yang, Qinghan

• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Yang, Qingyun

• Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection

Yang, Ronghao

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Yang, Ruijie

• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Yang, Ruimeng

• Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Yang, Shenglong

• Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network

Yang, Shengxiao

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Yang, Shenmiao

• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

Yang, Shidong

• ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Yang, Shuhua

• Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Yang, Shuojue

• Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
• BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement

Yang, Shuran

• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Yang, Shuting

• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
• Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation

Yang, Shuya

• SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

Yang, Sicheng

• CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Yang, Sihan

• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
• CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Yang, Su

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Yang, Tianbao

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Yang, Tong

• Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training

Yang, Tongyun

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Yang, Wei

• MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
• Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising
• Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis
• Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Yang, Xian

• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Yang, Xiao

• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Yang, Xiaofei

• ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

Yang, Xiaokang

• EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Yang, Xikai

• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
• Medical Large Vision Language Models with Multi-Image Visual Ability

Yang, Xin

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
• ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound
• A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

Yang, Xingyi

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Yang, Xinxin

• Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction

Yang, Xu

• Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion

Yang, Xuan

• Probabilistic Inverse Consistent Image Registration Using Sparse Bayesian Network
• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Yang, Xulei

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
• EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination
• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Yang, Yang

• Learning Segmentation from Radiology Reports
• Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Yang, Yanqi

• Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Yang, Yanwu

• Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

Yang, Yijun

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Yang, Yingyu

• Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos

Yang, Yizhe

• MRI Motion Artifact Correction via Frequency-Assisted Artifact Disentanglement and Confidence-Guided Knowledge Distillation

Yang, Yuanting

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Yang, Yuchuan

• SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Yang, Yuqiao

• GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

Yang, Yusen

• Unleashing the Power of LLMs for Medical Video Answer Localization

Yang, Yuxuan

• PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

Yang, Zhenghan

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Yang, Zhenya

• ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data

Yang, Zhiwei

• Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification

Yang, Zhiwen

• TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration
• FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
• All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Yang, Zijiang

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Yang, Zongbao

• Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

Yao, Angela

• Unleashing the Power of LLMs for Medical Video Answer Localization

Yao, Chun

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Yao, Dezhong

• Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Yao, Haoran

• BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency based Feature Enhancement for Brain Tumor Segmentation

Yao, Jiezhi

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Yao, Lisha

• Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks

Yao, Qingsong

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

Yao, Ruixuan

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Yao, Shiyi

• ShareLink: Neuro-Inspired EEG-based Cross-Subject Emotion Recognition via Shared Bi-hemisphere

Yao, Sophie

• Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Yao, Xincheng

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Yao, Yijun

• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Yao, Yuang

• Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Yao, Zhijian

• Path Signature Features Revealed SSRI-Induced White Matter Morphological Reorganization in Depressions

Yap, Choon Hwai

• Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Yap, Moi Hoon

• Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Yap, Pew-Thian

• Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion
• Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion
• A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation

Yaqub, Mohammad

• MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
• MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
• MAGNET-AD: Multitask Spatiotemporal GNN for Interpretable Prediction of PACC and Conversion Time in Preclinical Alzheimer
• Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
• DEFUSE-MS: Deformation Field-Guided Spatiotemporal Graph-Based Framework for Multiple Sclerosis New Lesion Detection
• ClinGRAD: Clinically-Guided Genomics and Radiomics Interpretable GNN for Dementia Diagnosis

Yazdani, Milad

• Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Yazıcı, Ziya Ata

• BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA

Ye, Chuyang

• UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction
• Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling
• Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI
• D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

Ye, Hongbo

• U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

Ye, Hongsheng

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Ye, Jiayu

• MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Ye, Jiazhen

• LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

Ye, Jin

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending
• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Ye, Ping

• ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation
• CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Ye, Tingting

• You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection

Ye, Weimin

• Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Ye, Wenqing

• HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Ye, Xianghua

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Ye, Xinchen

• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Ye, Xuesong

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Ye, Xujiong

• SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation
• R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
• Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Ye, Yiwen

• Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation

Ye, Yubo

• IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Ye, Zanting

• Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
• PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA
• MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Ye, Zhaoyi

• FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Yeganeh, Yousef

• DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology

Yelamarthy, Nikhil

• Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Yellapragada, Srikar

• Pathology Image Compression with Pre-trained Autoencoders

Yeo, Si Yong

• Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
• EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination

Yesilkaynak, Bugra

• Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Yi, Chenlang

• AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays

Yi, Fan

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Yi, Jingjun

• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Yi, Mun Yong

• MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

Yi, Weixi

• Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications

Yi, Won-Jin

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Yi, Yang

• TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration

Yi, Zhang

• Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba
• Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning

Yibulayimu, Sutuke

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Yildiran, Suemeyye R.

• DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis

Yilmaz, Rüveyda

• CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

Yin, Hongxia

• Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Yin, Lisong

• UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-guided Cross-modal Interaction

Yin, Ming

• Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Yin, Xiaoli

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

Yin, Xunhai

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Yin, Yuan

• Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Yin, Zhaozheng

• RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction
• D4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for Endoscopic Reconstruction

Yin, Ziman

• Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-Supervised Segmentation

Yin, Zixun

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Ying, Haochao

• Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading

Ying, Jinqiao

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Yoo, Cheol-Hwan

• CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

Yoo, Chuck

• Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Yoo, Donggeun

• SPEC-CXR: Advancing Clinical Safety through Entity-Level Performance Evaluation of Chest X-ray Report Generation

Yoo, Jaejun

• Spherical Diffusion Process for Score-Guided Cortical Correspondence via Spectral Attention
• Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction

Yoo, Jang-Hee

• CARE-VL: A Domain-Specialized Vision-Language Model for Early ASD Screening

Yoo, Seok Bong

• TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Yoo, Yeonho

• Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

Yoo, Yereen

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Yoo, Youngjin

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Yoon, Chanyong

• Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Yoon, Chiho

• R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Yoon, Jae Hyun

• TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

Yoon, Siyeop

• RegScore: Scoring Systems for Regression Tasks
• Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics

Yoshii, Yuichi

• SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model

You, Chenyu

• OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

You, Taeseung

• InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation

You, Tianqi

• Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

You, Xin

• Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
• HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift

Younis, Rayan

• Smarter Self-Distillation: Optimizing the Teacher for Surgical Video Applications

Yousefi, Amir

• Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication

Yu, Bo

• Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation

Yu, Chengjin

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders
• Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Yu, Dongdong

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Yu, Fei

• ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation

Yu, Gang

• MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction
• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Yu, Gaohang

• tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation

Yu, Hanyi

• Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis

Yu, Hongkui

• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Yu, Hongyuan

• SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation

Yu, Hu

• Multi-Spatial Granger Causality Features Fusion Network for Alzheimer’s Disease Classification
• Dual-Stream Multi-Band Fusion Network for Dynamic Functional Connectivity Analysis in Brain Disorder Classification

Yu, Jiahui

• Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
• RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Yu, Jianxun

• Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Yu, Jin-Gang

• Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
• Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning

Yu, Jingjing

• T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Yu, Junqing

• MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
• Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

Yu, Juntao

• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Yu, Junxuan

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Yu, Lequan

• MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport
• HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
• Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Yu, Limin

• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Yu, Liting

• MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Yu, Long

• R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs

Yu, Mingyang

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Yu, Minhui

• Unpaired Multi-Site Brain MRI Harmonization with Image Style-Guided Latent Diffusion
• Distribution-Guided Multi-Tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion

Yu, Qinji

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion

Yu, Qinkai

• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Yu, Rui

• Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation

Yu, Shiqi

• Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

Yu, Shoujun

• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Yu, Shujian

• MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

Yu, Sigang

• BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Yu, Tianen

• Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis

Yu, Weihao

• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation

Yu, Wenjing

• MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Yu, Xiaobing

• Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling

Yu, Xiaowei

• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Yu, Yang

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance

Yu, Youngjae

• Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Yu, Zhangyuan

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Yu, Zhen

• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
• Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Yu, Zhiyong

• Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Yu, Ziqi

• Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability
• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Yu, Zitong

• TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models
• MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
• BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields

Yuan, Chun

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Yuan, Deqi

• Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training

Yuan, Feng

• SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus

Yuan, Haoyue

• Aβ-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks

Yuan, HuiShu

• Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Yuan, Kun

• SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
• Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

Yuan, Manman

• LG-DBGL: Lateralization-Guided Dissociative Brain Graph Learning for Alzheimer’s Disease Identification

Yuan, Qilong

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
• BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Yuan, Runtian

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Yuan, Wu

• Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks
• CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

Yuan, Xinpan

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Yuan, Ye

• Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling

Yuan, Yixuan

• STEAM: Self-supervised TEeth Analysis and Modeling for Point Cloud Segmentation
• Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution
• Masked Contrastive Language-Image Modeling For Brain Segmentation
• EndoGen: Conditional Autoregressive Endoscopic Video Generation

Yuan, Yonggui

• Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis

Yuan, Yuchen

• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
• Medical Large Vision Language Models with Multi-Image Visual Ability

Yuan, Zhen

• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Yuchi, Ming

• P2INR-FWI: an Implicit Neural Representation Method for Speed of Sound Image Reconstruction in Ultrasound Computed Tomography

Yue, Changpeng

• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Yue, Chenxi

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset

Yue, Hailin

• VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
• MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
• Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction

Yue, Jiang

• M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

Yue, Jiaxin

• Robust Topographical Representation for Longitudinal Propagation of Tau Pathology
• GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Yue, Qiang

• CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Yue, Qingxiong

• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Yue, Xiaodong

• Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Yue, Yutao

• BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQA

Yuille, Alan L.

• Learning Segmentation from Radiology Reports
• CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Yum, Jieun

• Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Yun, Boxiang

• Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

Yun, Hannah

• Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation

Yun, Heejin

• Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Yun, Mijin

• PRGNN: Pyramidal Region Graph Neural Network for Region-Based Brain PET Classification

Zaiane, Osmar R.

• Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities
• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
• ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
• BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

Zakeri, Arezoo

• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Zaman, Mahdi

• WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation

Zampolini Faustini, Alice

• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Zang, Chengqi

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Zang, Zelin

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

Zarin, Farahdiba

• Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

Zdyb, Frans

• Spline refinement with differentiable rendering

Zedda, Luca

• RedDino: A foundation model for red blood cell analysis

Zeineddine, Fatima

• Bias and Generalizability of Foundation Models across Datasets in Breast Mammography

Zeng, An

• MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Zeng, Jingbo

• Intra- and Cross-View Enhancement for OCTA Imaging

Zeng, Kun

• DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

Zeng, Pinxian

• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

Zeng, Qiang

• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Zeng, Qingjie

• Exploring Text-enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data

Zeng, Xiaoting

• Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction

Zeng, Xinyi

• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction

Zeng, Yan

• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Zeng, Yuwen

• MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

Zeng, Zhuo

• Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation

Zettinig, Oliver

• Beyond Shadows: Learning Physics-inspired Ultrasound Confidence Maps from Sparse Annotations

Zha, Xinbei

• The Refining of Brain Connectivity Features on Residual Posterior Patterns

Zhai, Jihao

• MSGFlowNet: Learning Effective Connectivity Network based on Sparse Generative Flow Network from fMRI and EEG Data

Zhai, Penghua

• IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image

Zhan, Chen

• Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

Zhan, Haolan

• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Zhan, Yihong

• EFMS-Net: Efficient Frequency-Enhanced Multi-Scale Network for Ischemic Stroke Segmentation

Zhan, Yiqiang

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Zhan, Zhaoyi

• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Zhang, Andrew

• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers

Zhang, Ang

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Zhang, Ao

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Zhang, Baochang

• Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval

Zhang, Bin

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders
• Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

Zhang, Bohan

• Asynchronous Multi-Modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units

Zhang, Chaoxue

• Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Zhang, Chenbin

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Zhang, Chenghong

• WDNet: A Novel Wavelet-guided Hierarchical Diffusion Network for Multi-Target Segmentation in Colonoscopy Images

Zhang, Chengrui

• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Zhang, Chu

• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Zhang, Chujie

• PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation

Zhang, Dan

• Cross-Modal Graph Learning for Perivascular Spaces Segmentation
• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Zhang, Daokun

• WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Zhang, Daoqiang

• Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis
• Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition
• LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
• Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Zhang, Dingwen

• Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Zhang, Dingxin

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Zhang, Dong

• Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation
• Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis

Zhang, Duoer

• A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Zhang, Edward

• Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Zhang, Fan

• A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection

Zhang, Francis Xiatian

• Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression
• BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation

Zhang, Gongyu

• Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

Zhang, Guoming

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Zhang, Guoning

• FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation

Zhang, Guoqing

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel
• Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Zhang, Hai

• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Zhang, Haihao

• A Virtual Domain Collaborative Learning Framework for Semi-supervised Microscopic Hyperspectral Image Segmentation

Zhang, Haixian

• Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Zhang, Han

• Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging
• Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation
• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
• GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology
• FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
• DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model

Zhang, Hang

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Zhang, Hantao

• DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Zhang, Hanwen

• 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
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Zhang, Hanxiao

• Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis

Zhang, Hanyi

• A Learning Framework for Predicting CT-based PRM Biomarker from MRI Sequences in COPD

Zhang, Hao

• Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis
• Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation
• Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction

Zhang, Haochen

• Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading

Zhang, Haofeng

• MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

Zhang, Haoxuan

• Paired Image Generation with Diffusion-Guided Diffusion Models

Zhang, Haoyang

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Zhang, Hengyuan

• Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation

Zhang, Hongbo

• GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Zhang, Hongkun

• Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

Zhang, Hongli

• Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

Zhang, Hongsheng

• KMUNet: A novel medical image segmentation model based on KAN and Mamba

Zhang, Hongyuan

• You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection

Zhang, Hualong

• Edge-semantic Synergy Fusion and Adaptive Noise-aware for Weakly Supervised Pathological Tissue Segmentation

Zhang, Hui

• FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
• All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Zhang, Ji

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Zhang, Jiaan

• Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Zhang, Jiajin

• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation
• Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

Zhang, Jiaju

• Temporal Modulated Multi-Scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
• TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration

Zhang, Jiaming

• The Refining of Brain Connectivity Features on Residual Posterior Patterns

Zhang, Jian

• RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning
• GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
• Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

Zhang, Jianfang

• SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views

Zhang, Jiang

• Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping

Zhang, Jianjia

• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis
• Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Zhang, Jianwei

• Surface-based Multi-Axis Longitudinal Disentanglement Using Contrastive Learning for Alzheimer’s Disease
• Robust Topographical Representation for Longitudinal Propagation of Tau Pathology
• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Zhang, Jiaqing

• MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Zhang, Jiayang

• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Zhang, Jiayi

• EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Zhang, Jie

• Surgical Action Planning with Large Language Models
• CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning

Zhang, Jielin

• Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Zhang, Jilin

• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Zhang, Jing

• Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Zhang, Jingbo

• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Zhang, Jingyang

• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Zhang, Jinhua

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Zhang, Jiong

• Cross-Modal Graph Learning for Perivascular Spaces Segmentation
• CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography

Zhang, Jun

• A Novel ED Triage Framework Using Conditional Imputation, Multi-Scale Semantic Learning, and Cross-Modal Fusion

Zhang, Junming

• Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

Zhang, Kai

• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

Zhang, Kaiyu

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Zhang, Kunyu

• MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

Zhang, Le

• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging
• RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
• µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Zhang, Lei

• SlimFormer-3D: A Layer-Adaptive Lightweight Transformer for Efficient 3D Medical Image Segmentation
• R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs
• PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
• Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model

Zhang, Li

• Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis
• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
• Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Zhang, Liang

• TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model
• ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization
• A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

Zhang, Lichi

• Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
• RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
• Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
• Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Zhang, Lihe

• UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

Zhang, Lijing

• Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Zhang, Lijun

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Zhang, Limei

• MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI

Zhang, Ling

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
• Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

Zhang, Lingtong

• MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Zhang, Litao

• MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging

Zhang, Liuzeng

• BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis

Zhang, Liwei

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Zhang, Liying

• Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Zhang, Lu

• Towards Interpretable Counterfactual Generation via Multimodal Autoregression
• Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Zhang, Mengshi

• Noisy Label Refinement Based on Discrete Diffusion Process in 3D Ossicle Segmentation

Zhang, Mengze

• Multi-Tube-Voltage vBMD Measurement via Dual-Branch Frequency Balancing and Asymmetric Channel Attention

Zhang, Miao

• EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

Zhang, Miaomiao

• Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model

Zhang, Minghui

• Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis

Zhang, Minqing

• Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks
• CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity

Zhang, Molin

• Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation

Zhang, Na

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Zhang, Ningyi

• RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation

Zhang, Pandeng

• Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation

Zhang, Peilin

• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Zhang, Peng

• D3M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors

Zhang, Pengcheng

• UWT-Net: Mining low-frequency feature information for medical image segmentation

Zhang, Pingping

• Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

Zhang, Qi

• RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration
• MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI

Zhang, Qibin

• Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
• Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
• Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images

Zhang, Qing

• Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

Zhang, Qingmao

• PFESA: FFT-based Parameter-Free Edge and Structure Attention for Medical Image Segmentation

Zhang, Qingyong

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Zhang, Qixiang

• MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

Zhang, Ruofan

• TMSE: Tri-Modal Survival Estimation with Context-aware Tissue Prototype and Attention-Entropy Interaction
• CholecMamba: A Mamba-based Multimodal Reasoning Model for Cholecystectomy Surgery

Zhang, Shaohui

• Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling

Zhang, Shaoting

• VBCD: A Voxel-Based Framework for Personalized Dental Crown Design
• UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model
• TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
• StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap
• ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation
• OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
• Interactive Segmentation and Report Generation for CT Images
• FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction
• FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation
• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
• CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Zhang, Sheng

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Zhang, Shengchao

• CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

Zhang, Shengjie

• Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability
• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Zhang, Shengping

• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Zhang, Shichuan

• TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation
• ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation
• OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
• Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model

Zhang, Shu

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
• BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Zhang, Shuai

• 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph

Zhang, Sihong

• Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

Zhang, Song

• Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

Zhang, Songqi

• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Zhang, Tao

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Zhang, Tengda

• Anatomy-Guided Multimodal Graph Networks for Alzheimer’s Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures

Zhang, Tengfei

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Zhang, Tiande

• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Zhang, Tianyu

• DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation

Zhang, Tiezhi

• RANDose: A Region-aware Attention Network for Accurate Radiation Dose Prediction

Zhang, Wanli

• Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Zhang, Wei

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Zhang, Weifang

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Zhang, Weifeng

• KMUNet: A novel medical image segmentation model based on KAN and Mamba

Zhang, Weihang

• RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports

Zhang, Weijie

• DPGS-Net: Dual Prior-Guided Cross-Domain Adaptive Framework for Ultrasound Image Segmentation

Zhang, Weitong

• Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Zhang, Wen

• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Zhang, Wenran

• VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

Zhang, Xiange

• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Zhang, Xiao

• Medical Contrastive Learning of Positive and Negative Mentions
• Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation

Zhang, Xiao-Yong

• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability
• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Zhang, Xiaocai

• Task-aligned fMRI Generation Model for Brain Disorder Diagnosis
• Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification

Zhang, Xiaofan

• Surgical Action Planning with Large Language Models
• LesionDiffusion: Towards Text-controlled General Lesion Synthesis
• Interactive Segmentation and Report Generation for CT Images

Zhang, Xiaofeng

• Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

Zhang, Xiaoming

• PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

Zhang, Xiaoran

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Zhang, Xiaoyong

• MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

Zhang, Xin

• SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
• Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals
• Heterogeneous Masked Attention-Guided Path Convolution for Functional Brain Network Analysis

Zhang, Xinlin

• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

Zhang, Xinlong

• MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

Zhang, Xinyue

• PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

Zhang, Xinzhe

• Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities

Zhang, Xu

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training

Zhang, Xuanye

• Pattern-Anchored Adaptive Prototype Learning for Gastroscopic Lesion Detection and Beyond

Zhang, Ya

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining
• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

Zhang, Yajing

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Zhang, Yameng

• Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Zhang, Yan

• Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning

Zhang, Yanbo

• A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Zhang, Yanchao

• Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation

Zhang, Yang

• Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Zhang, Yanping

• Non-Salient Object Segmentation in Medical Images via Pre-trained Multi-Granularity Masked Autoencoders

Zhang, Yanyan

• Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

Zhang, Yi

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
• Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
• GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation
• Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models
• Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Zhang, Yingqian

• Contrastive Masked Video Modeling for Coronary Angiography Diagnosis

Zhang, Yipeng

• Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making

Zhang, Yipin

• DisDiff: Disentanglement Diffusion Network for MR Imaging Translation

Zhang, Yiwen

• Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Zhang, Yiyang

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Zhang, Yizhe

• Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
• Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
• Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
• From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Zhang, Yongbing

• Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction

Zhang, Yongcun

• SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts

Zhang, Yongquan

• Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Zhang, Youjia

• MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

Zhang, Youjian

• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Zhang, Yu

• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines

Zhang, Yuanji

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Zhang, Yuchen

• PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Zhang, Yue

• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Zhang, Yuejie

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Zhang, Yuelin

• MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy

Zhang, Yuhan

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Zhang, Yuhang

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

Zhang, Yukun

• AffinityUMamba: Uncertainty-Aware Medical Image Segmentation via Probabilistic Weak Supervision Beyond Gold-Standard Annotations

Zhang, Yulin

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Zhang, Yunlong

• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Zhang, Yuxi

• VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
• Gaussian Primitive Optimized Deformable Retinal Image Registration

Zhang, Zeng

• Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

Zhang, Zenghui

• M3HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation

Zhang, Zengji

• VBCD: A Voxel-Based Framework for Personalized Dental Crown Design

Zhang, Zeyu

• DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
• Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI
• A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images

Zhang, Zhen

• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Zhang, Zhenguo

• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

Zhang, Zheran

• Integrate Semantic Radiomics as Prior Evidence into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis

Zhang, Zhicheng

• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Zhang, Zhiguo

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Zhang, Zhiyu

• DCT-Net: Dual-branch CT Reconstruction from Orthogonal X-rays with Diffusion Model and Contrastive Learning

Zhang, Zhiyuan

• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining

Zhang, Zhonghao

• Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Zhang, Zhuoneng

• C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images

Zhang, Ziang

• MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Zhang, Zichen

• Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

Zhang, Zijian

• RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

Zhao, Beidi

• PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Zhao, Bokai

• Neural Proteomics Fields for Super-resolved Spatial Proteomics Prediction

Zhao, Chen

• Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

Zhao, Chenyu

• Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising

Zhao, Chunpeng

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Zhao, Dan

• FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation

Zhao, Dexin

• U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

Zhao, Guihu

• Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction

Zhao, Guohua

• TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Zhao, Haochen

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Zhao, Haocheng

• EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting

Zhao, He

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

Zhao, Hongkai

• D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training

Zhao, Jianxiang

• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Zhao, Jie

• Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System

Zhao, Jieyi

• Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction

Zhao, Juanjuan

• Anatomy-based Self-supervised Pre-training for Scale-robust Hierarchical Representations in Chest X-rays

Zhao, Junyong

• Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition

Zhao, Kai

• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Zhao, Kehan

• This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN

Zhao, Kuaile

• Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion

Zhao, Kui

• Improving Motor Imagery EEG Signal Quality with Dynamic Visual Cues: An Innovative Paradigm and Dataset
• BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner

Zhao, Kun

• DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis

Zhao, Lei

• Concept-induced Graph Perception Model for Interpretable Diagnosis
• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Zhao, Leilei

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images
• Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Zhao, Lili

• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Zhao, Lin

• Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Zhao, Lin-mei

• Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Zhao, Longxuan

• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

Zhao, Meixin

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Zhao, Nan

• Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders

Zhao, Peiang

• U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

Zhao, Pengpeng

• RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Zhao, Qiaochu

• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Zhao, Qibin

• Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks

Zhao, Qingxue

• DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation

Zhao, Qingyu

• WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs

Zhao, Rongchang

• RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning

Zhao, Shen

• MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
• MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis
• A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction

Zhao, Sheng

• Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Zhao, Shilun

• Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis

Zhao, Tianyu

• TemSAM: Temporal-aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• ISAC: Redefining the Vascular Segmentation Paradigm through Mask Completion for Cross-Domain Generalization
• A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm

Zhao, Weibing

• 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
• Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-guided Hierarchical Experts

Zhao, Weiqin

• MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport
• HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

Zhao, Xiaowei

• Learning with Explicit Topological Priors for Chest X-ray Rib Segmentation

Zhao, Xihai

• Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network

Zhao, Xinglun

• CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model

Zhao, Xinyi

• Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction

Zhao, Xinyu

• SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis

Zhao, Xuansen

• PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Zhao, Yi

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Zhao, Yidong

• Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
• Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
• Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models

Zhao, Yiming

• EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds

Zhao, Yining

• Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
• DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning

Zhao, Yitian

• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis
• A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Zhao, Yu

• Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes

Zhao, Yunpeng

• RetiDiff: Diffusion-based Synthesis of Retinal OCT Images for Enhanced Segmentation

Zhao, Zhe

• Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease

Zhao, Zihao

• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Zhao, Ziheng

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Zhao, Ziqi

• RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration

Zhen, Liangli

• Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
• Cycle Context Verification for In-Context Medical Image Segmentation

Zhen, Ruoxuan

• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images

Zhen, Xiantong

• EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation

Zheng, Aihua

• SPromptGL: Semantic Prompt Guided Graph Learning for Multi-modal Brain Disease

Zheng, Ce

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Zheng, Fan

• CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation

Zheng, Fudan

• LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Zheng, Guoyan

• PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer

Zheng, Hairong

• STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning

Zheng, Hao

• GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Zheng, Hongyu

• Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

Zheng, Jian

• Paired Image Generation with Diffusion-Guided Diffusion Models
• FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement

Zheng, Jiawen

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Zheng, Jin

• ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA
• Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction

Zheng, Kaiyi

• Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis

Zheng, Meng

• PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis

Zheng, Menglin

• High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection

Zheng, Qingqing

• Clinical Prior-Guided Tumor Generation for Breast Ultrasound with Cross Domain Adaptation

Zheng, Wei-Shi

• Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
• Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Zheng, Weihao

• Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Zheng, Xiao

• PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

Zheng, Xiaoyu

• XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification
• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging

Zheng, Xiuqi

• Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation

Zheng, Xubin

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Zheng, Xulei

• Various Attention Mechanism Graph Convolutional Network with Multi-Source Domain Adaptation for Cross-Subject EEG Emotion Recognition

Zheng, Yalin

• tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-based Glaucoma Forecasting
• Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis
• A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Zheng, Yefeng

• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
• RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
• D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM
• Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models
• A Prior-Driven Lightweight Network for Endoscopic Exposure Correction
• A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Zheng, Yingfeng

• Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management

Zheng, Youyi

• End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization

Zheng, Yuanjie

• MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba
• MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Zheng, Yuling

• Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Zheng, Zhiji

• AVDM: Controllable Adversarial Diffusion Model for Vessel-to-Volume Synthesis

Zheng, Zhilin

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Zheng, Zhong

• Multi-Level Gated U-Net for Denoising TMR Sensor-Based MCG Signals
• MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

Zhong, Aocheng

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Zhong, Chen

• PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT

Zhong, Chunlin

• PathVG: A New Benchmark and Dataset for Pathology Visual Grounding

Zhong, Jian

• UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning

Zhong, Lanfeng

• SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning
• OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
• CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Zhong, Liang

• Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance
• Dual Correlation-aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance

Zhong, Lihao

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Zhong, Liming

• Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis
• Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning

Zhong, Lujia

• Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis

Zhong, Shaonan

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Zhong, Wenjin

• FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Zhong, Wenqi

• Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Zhong, Xi

• HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Zhong, Yi

• Thread the Needle: Genomics-guided Prompt-bridged Attention Model for Survival Prediction of Glioma based on MRI Images

Zhong, Zhengyu

• T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children based on fNIRS

Zhou, Chen

• PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis

Zhou, Chengju

• PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection
• Med-BiasX: Robust Medical Visual Question Answering with Language Biases

Zhou, Chu

• Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection

Zhou, Congcong

• Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion

Zhou, Dan

• Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer

Zhou, Donghao

• Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation

Zhou, Feixiang

• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
• Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis

Zhou, Gang

• All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior

Zhou, Guangquan

• Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Zhou, Guanqun

• High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Zhou, Haipeng

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
• CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Zhou, Hangqi

• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Zhou, Haoyin

• Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging

Zhou, Hong-Yu

• BenchReAD: A systematic benchmark for retinal anomaly detection

Zhou, Jianhua

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Zhou, Jun

• AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

Zhou, Kaijing

• RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
• Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model

Zhou, Lin

• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms

Zhou, Ling

• TGSAM-2: Text-Guided Medical Image Segmentation using Segment Anything Model 2

Zhou, Luping

• WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference
• SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
• MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
• HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Zhou, Mu

• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Zhou, Pinghong

• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Zhou, Qifeng

• Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
• HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Zhou, Qing

• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Zhou, Quan

• Targeted False Positive Synthesis via Detector-guided Adversarial Diffusion Attacker for Robust Polyp Detection

Zhou, Rong

• SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Zhou, S. Kevin

• U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
• RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
• PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation
• NeRF-based CBCT Reconstruction needs Normalization and Initialization
• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era
• Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation

Zhou, Shijia

• MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images

Zhou, Shuo

• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction

Zhou, Sijin

• Delving into Out-of-Distribution Detection with Medical Vision-Language Models

Zhou, Tao

• Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
• Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
• Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
• Diffusion-based Multi-modal MR Fusion for TOF-MRA Image Synthesis
• Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Zhou, Wei

• Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Zhou, Wentong

• MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma

Zhou, Xiang Sean

• Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images

Zhou, Xiao

• RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Zhou, Xiaoqian

• PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation
• More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era

Zhou, Xin

• Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation

Zhou, Xinrui

• Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

Zhou, Xionghui

• Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery

Zhou, Xuanru

• A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

Zhou, Yan-Jie

• Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

Zhou, Yang

• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Zhou, Yanheng

• ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation

Zhou, Ye

• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Zhou, Yi

• Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
• Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Zhou, Yichen

• Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

Zhou, Yijing

• Deep Association Multimodal Learning for Zero-shot Spatial Transcriptomics Prediction

Zhou, Yongsong

• UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
• MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

Zhou, Yuan

• Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Zhou, Yuanbo

• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation

Zhou, Yuanfeng

• Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Zhou, Yubo

• TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

Zhou, Yue

• UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation

Zhou, Yukun

• Delving into Out-of-Distribution Detection with Medical Vision-Language Models

Zhou, Yuyin

• Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

Zhou, Zanwei

• EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy

Zhou, Zhengyun

• Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference

Zhou, Zhenhuan

• Towards Automated Pediatric Dental Development Staging: A Dataset and Model
• PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development

Zhou, Zherui

• 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement

Zhou, Zhiguo

• MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction

Zhou, Zhiying

• Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

Zhou, Zhongkai

• Uncertainty-Aware Multimodal MRI Fusion for HIV-Associated Asymptomatic Neurocognitive Impairment Prediction

Zhou, Zirui

• Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening

Zhou, Ziyu

• On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-offs in Medical Imaging

Zhou, Zongwei

• Learning Segmentation from Radiology Reports

Zhu, Chenglu

• AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification

Zhu, Chengzhang

• Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning

Zhu, Dajiang

• Oblique Genomics Mixture of Experts: Prediction of Brain Disorder With Aging-Related Changes of Brain’s Structural Connectivity Under Genomic Influences
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Zhu, Dalin

• Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

Zhu, Gang

• Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning

Zhu, Haiqi

• MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
• LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Zhu, Hancan

• tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation

Zhu, Hong

• UDPET: Ultra-low Dose PET Imaging Challenge Dataset

Zhu, Huachao

• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Zhu, Huanjia

• Med-BiasX: Robust Medical Visual Question Answering with Language Biases

Zhu, Jiayuan

• MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Zhu, Jie

• Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts

Zhu, Kun

• From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Zhu, Lei

• Training-free Test-time Improvement for Explainable Medical Image Classification
• Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
• Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining
• Temporal Model-Based Federated Active Medical Image Classification
• Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
• Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
• MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
• HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation
• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
• FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images
• CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
• AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

Zhu, Luoqian

• SAMASK-CLTR : A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS

Zhu, Min

• Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba

Zhu, Ning

• SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning
• CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling

Zhu, Pengli

• Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis

Zhu, Qi

• Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition
• Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Zhu, Qiang

• Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
• Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Zhu, Qikui

• Causality-driven Spatio-temporal Generator for Multi-phase Contrast-enhanced CT Synthesis

Zhu, Qingpeng

• Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency

Zhu, Runchen

• Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images

Zhu, Shenghao

• Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Zhu, Wentao

• PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
• A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Zhu, Xiangyu

• Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

Zhu, Xiao Xiang

• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Zhu, Xudong

• CA-SAM2: SAM2-based Context-Aware Network with Auto-Prompting for Nuclei Instance Segmentation

Zhu, Xun

• Medical Contrastive Learning of Positive and Negative Mentions

Zhu, Yan

• Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records

Zhu, Yazhou

• MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

Zhu, Ying

• Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
• Anatomical Structure Few-Shot Detection Utilizing Enhanced Human Anatomy Knowledge in Ultrasound Images

Zhu, Yitao

• Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Zhu, Yuanzhuo

• CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching

Zhu, YueSheng

• MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Zhu, Yueyue

• Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Zhu, Yuhua

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Zhu, Yuliang

• GradInvDiff: Stealing Medical Privacy in Federated Learning via Diffusion-Based Gradient Inversion

Zhu, Zheren

• Learning Segmentation from Radiology Reports

Zhu, Zhiyuan

• Spatio-temporal Pre-trained Foundation Model for Neural Decoding with Fine-grained Optimization
• MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
• Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
• ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Zhu, Zhu

• MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms’ Tumor Segmentation and Metastasis Prediction

Zhu, Zhuoting

• Delving into Out-of-Distribution Detection with Medical Vision-Language Models

Zhu, Ziquan

• LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Zhuang, Bohan

• FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Zhuang, Jiafan

• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification

Zhuang, Jiaxin

• Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
• Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

Zhuang, Jun

• NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification

Zhuang, Shaojie

• Contour Makes It Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors

Zhuang, Xiahai

• Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
• Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
• BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images
• Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening

Zhuang, Yan

• LEAVS: An LLM-based Labeler for Abdominal CT Supervision
• Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
• Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
• A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features

Zhuo, Weipeng

• PathoPrompt: Cross-Granular Semantic Alignment for Medical Pathology Vision-Language Models
• ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation

Zinger, Sveta

• Cross-Modal Graph Learning for Perivascular Spaces Segmentation

Zinnen, Mathias

• Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond

Zong, Liang

• Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos

Zong, Xiaopeng

• Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging

Zou, Beiji

• Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Zou, Da

• Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT

Zou, Ke

• Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
• RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Zou, Shihao

• Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination

Zou, Xiaoguang

• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

Zou, Xinyu

• Asymmetric Matching in Abdominal Lymph Nodes of Follow-up CT Scans

Zou, Xuebin

• Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Zou, Yuda

• Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-ray Diagnosis

Zu, Yuankun

• Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment

Zuluaga, Maria A.

• VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
• One-shot active learning for vessel segmentation

Zuo, Chuantao

• Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-adaptive Routing

Zuo, Xiang

• Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals

Zwaigenbaum, Lonnie

• Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to capture the structural heterogeneity of Autism Spectrum Disorder

de Jong, Ronald

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

de Wilde, Bram

• Steerable Anatomical Shape Synthesis with Implicit Neural Representations

van Doorn, Joost

• Training state-of-the-art pathology foundation models with orders of magnitude less data

van Erp, Theo G.M.

• Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks
• A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity

van Hillegersberg, Richard

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

van Jaarsveld, Romy

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

van de Luijtgaarden, Tijn

• Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions

van der Sommen, Fons

• SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

von Brackel, Felix N.

• Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs

Özsoy, Ege

• Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Ünver, Gözde

• CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery

Ćuković, Saša

• Veriserum: A dual-plane fluoroscopic dataset with knee implant phantoms for deep learning in medical imaging