List of Authors

AI4SafeChole Consortium

• Jumpstarting Surgical Computer Vision

Aayushman

• Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

Abbasi-Asl, Reza

• 7T MRI Synthesization from 3T Acquisitions

Abboud, Zeinab

• Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis

Abdallah, Abdelrahman

• IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)

Abdelhalim, Ibrahim

• IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)
• A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

Abdulle, Yusuf

• Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Abolmaesumi, Purang

• Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography
• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Abou El-Ghar, Mohamed

• A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

Abousamra, Shahira

• Spatial Diffusion for Cell Layout Generation
• Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
• Hard Negative Sample Mining for Whole Slide Image Classification

Acar, Ayberk

• MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Acar, Burak

• Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Acebes, Cesar

• The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

Achim, Alin

• TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

Adamowicz, Arleta

• Let Me DeCode You: Decoder Conditioning with Tabular Data

Adams, Jadie

• Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Adams-Tew, Samuel I.

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Adeli, Ehsan

• SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Adhikari, Rabin

• VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Adhinarta, Jason Ken

• Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Adkinson, Brendan D.

• Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Agbon, Nosereme Abel

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Aggarwal, Himanshu

• Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Agrawal, Pritee

• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Ahmad, Sahar

• Development of Effective Connectome from Infancy to Adolescence

Ahn, Sangjeong

• Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Ahn, Shawn S.

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Ahn, Yong Hyun

• Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain

Akar, Gozde B.

• Longitudinal Mammogram Risk Prediction

Akash R. J., Naren

• CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Akpulu, Stephen Peter

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Al Taie, Mais

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Al-Haj Hemidi, Ziad

• IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Al-Shikhley, Liza

• Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Al-masni, Mohammed A.

• Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Alabed, Samer

• TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Alaina, James

• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

Alambeigi, Farshid

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Alapatt, Deepak

• Jumpstarting Surgical Computer Vision

Alasmawi, Hussain

• SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

Albizu, Alejandro

• Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Albuquerque Marques Silva, Jessica

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Alexander, Daniel C.

• Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Alfarra, Motasem

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Alghamdi, Norah Saleh

• IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)

Alhamoud, Kumail

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Ali, Mohsen

• Few-Shot Domain Adaptive Object Detection for Microscopic Images
• A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Allan, Max

• Online 3D reconstruction and dense tracking in endoscopic videos

Almakky, Ibrahim

• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Alsharid, Mohammad

• Zoom Pattern Signatures for Fetal Ultrasound Structures

Altamirano, Aleen

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Alvén, Jennifer

• Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Amadio, Jordan P.

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Amadou, Abdoul Aziz

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Amgain, Sanskar

• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

Amico, Enrico

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Amiranashvili, Tamaz

• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
• 3D Vessel Graph Generation Using Denoising Diffusion

Amodio, Matthew

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Amruthalingam, Ludovic

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Amyar, Amine

• Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

An, Fengwei

• Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

An, Sion

• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification

An, Yajun

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction

Anantrasirichai, Nantheera

• TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

Andriambololoniaina, Faly Herizo

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Andronesi, Ovidiu

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Aneja, Sanjay

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Ansari, Faizanuddin

• Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias

Antalek, Matthew

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Antonelli, Michela

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Antunes, Michel

• Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Anwar, Syed Muhammad

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Anwer, Rao Muhammad

• DB-SAM: Delving into High Quality Universal Medical Image Segmentation
• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Aparicio, Nicolás

• MuST: Multi-Scale Transformers for Surgical Phase Recognition

Arbel, Tal

• Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Arbeláez, Pablo

• MuST: Multi-Scale Transformers for Surgical Phase Recognition
• Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Arcucci, Rossella

• BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval

Arias-Vergara, Tomas

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Arnold, Corey

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Arnold, Douglas L.

• Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Arora, Chetan

• VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios
• MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History
• Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms
• D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms
• Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Arora, Vaibhav

• On predicting 3D bone locations inside the human body

Arslan, Mazlum Ferhat

• Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization

Asgari-Targhi, Ameneh

• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Asgariandehkordi, Hojat

• MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Ashraf, Tajamul

• D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Athreya, Shreeram

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Au, Ryan

• Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Aubreville, Marc

• Leveraging Image Captions for Selective Whole Slide Image Annotation

Austin, David E

• MEDBind: Unifying Language and Multimodal Medical Data Embeddings

Avesta, Arman

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Aviles Verdera, Jordina

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Aviles-Rivero, Angelica I

• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
• Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

Awais, Muhammad

• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Awate, Suyash P.

• Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

Ayad, Ishak

• UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Ayala, Leonardo

• Deep intra-operative illumination calibration of hyperspectral cameras

Ayobi, Nicolás

• MuST: Multi-Scale Transformers for Surgical Phase Recognition

Azad, Md Abulkalam

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Azadbakht, Hojjat

• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Azadvar, Soheil

• LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

Azampour, Mohammad Farid

• Intraoperative Registration by Cross-Modal Inverse Neural Rendering
• Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation

Azevedo, Caio

• Deep Volume Reconstruction from Multi-focus Microscopic Images

Azevedo, Luis

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Baby, Britty

• VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Bach Cuadra, Meritxell

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Badano, Aldo

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Bae, Hyeon-Min

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Bae, Joseph

• HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

Bae, Juyoung

• Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images
• Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging

Baek, Seung Jun

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Baek, Seunghun

• OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

Bagci, Ulas

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Bah, Bubacarr

• This actually looks like that: Proto-BagNets for local and global interpretability-by-design

Bahari Malayeri, Ali

• Spatial Context Awareness in Surgery through Sound Source Localization

Bahig, Houda

• Few-shot Adaptation of Medical Vision-Language Models

Bahnsen, Fin Hendrik

• Anatomy-guided Pathology Segmentation

Bai, Bizhe

• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

Bai, Hao

• NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

Bai, Harrison

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Bai, Jieyun

• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Bai, Long

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
• EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Bai, Qingshi

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Bai, Wenjia

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Bai, Xiangzhi

• VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Bai, Yang

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

Baird, Grayson

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Bakal, Chris

• Interpretable phenotypic profiling of 3D cellular morphodynamics

Bakas, Spyridon

• Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Ball, James

• URCDM: Ultra-Resolution Image Synthesis in Histopathology

Banaszak, Anna

• Topologically faithful multi-class segmentation in medical images

Banerjee, Imon

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Banerjee, Soumyanil

• Conditional diffusion model with spatial attention and latent embedding for medical image segmentation

Bano, Sophia

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
• Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Bansal, Aditya

• MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History

Bao, Ailisi

• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Bao, Mingkun

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Bao, Runxue

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Bao, Shunxing

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Bao, Xueqi

• Curriculum Prompting Foundation Models for Medical Image Segmentation

Bao, Zhen

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Baptista, Tânia

• Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Baraka, Marwa

• Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

Barfoot, Theodore

• Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Barile, Berardino

• Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Barkhof, Frederik

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Barnett, Michael

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Barratt, Dean C.

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
• One registration is worth two segmentations
• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker
• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Barreto, Joao P.

• Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Barrier, Antoine

• MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Bartczak, Tomasz

• Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Basak, Hritam

• Quest for Clone: Test-time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space

Basaran, Berke Doga

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Bashir, Zahra

• Shortcut Learning in Medical Image Segmentation

Bathula, Deepti R.

• LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

Batmanghelich, Kayhan

• Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Battiato, Sebastiano

• TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Bauer, Ulrich

• Topologically faithful multi-class segmentation in medical images

Baugh, Matthew

• URCDM: Ultra-Resolution Image Synthesis in Histopathology
• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
• Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Baum, Zachary M. C.

• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Baumann, Alexander

• Deep intra-operative illumination calibration of hyperspectral cameras

Baumgartner, Christian F.

• Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
• PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Baumgartner, Michael

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Bayasi, Nourhan

• BiasPruner: Debiased Continual Learning for Medical Image Classification

Beaudet, Karl-Philippe

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Beets-Tan, Regina

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Beheshti, Amin

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Behrendt, Finn

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Beldi, Guido

• Online 3D reconstruction and dense tracking in endoscopic videos

Beliaeva, Aleksandra

• MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Belyaev, Mikhail

• Anatomical Positional Embeddings

Ben Abacha, Asma

• DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Ben Ayed, Ismail

• Few-shot Adaptation of Medical Vision-Language Models
• Class and Region-Adaptive Constraints for Network Calibration

Ben-Yosef, Dalit

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Ben-Yosef, Guy

• EchoNarrator: Generating natural text explanations for ejection fraction predictions

Benitez, Benito K.

• Large-Scale 3D Infant Face Model

Beqiri, Arian

• BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Bercea, Cosmin I.

• Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
• Diffusion Models with Implicit Guidance for Medical Anomaly Detection

Berens, Philipp

• This actually looks like that: Proto-BagNets for local and global interpretability-by-design
• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Berger, Alexander H.

• Topologically faithful multi-class segmentation in medical images

Bergere, Bastien

• Simulation Based Inference for PET iterative reconstruction

Berjaoui, Ahmad

• DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

Bernard, Florian

• A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning

Bernard, Olivier

• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Bert, Christoph

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Bhargava, Rohit

• Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Bhattacharya, Debayan

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Bhattarai, Ashuta

• Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs

Bhattarai, Binod

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
• Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Bi, Lei

• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Bi, Qi

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Bian, Hengwei

• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Bian, Minjie

• MMQL: Multi-Question Learning for Medical Visual Question Answering

Bian, Yun

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Bian, Zhangxing

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Bibi, Adel

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Bie, Yequan

• XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization

Biecek, Przemyslaw

• Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation

Bieder, Florentin

• Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Bieging, Erik

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Biffi, Carlo

• Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Birlo, Manuel

• HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Biros, George

• Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Bise, Ryoma

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

Bissoto, Alceu

• BiasPruner: Debiased Continual Learning for Medical Image Classification

Biswas, Koushik

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Black, Michael J.

• On predicting 3D bone locations inside the human body

Blackledge, Matthew D.

• Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Blanc, Frédéric

• Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Bogunović, Hrvoje

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Bolan, Patrick J.

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Bonilla, Sierra

• Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Borhani, Amir

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Boucher, Marie Carole

• A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

Bouget, David

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Bouix, Sylvain

• uniGradICON: A Foundation Model for Medical Image Registration

Bourigault, Emmanuelle

• 3D Spine Shape Estimation from Single 2D DXA

Bourke, Niall J.

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Bourou, Anis

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Boutaj, Sofiène

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Boyer, Thomas

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Boyko, Maria

• MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Bradshaw, Tyler

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Brahim, Ikram

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Bransby, Kit M.

• BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Branzoli, Francesca

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Braren, Rickmer F.

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
• Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Breininger, Katharina

• Leveraging Image Captions for Selective Whole Slide Image Annotation

Bretin, Elie

• Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

Brock, Kristy K.

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Brockmann, Marc A.

• Voxel Scene Graph for Intracranial Hemorrhage

Bron, Esther E.

• Evaluating the Fairness of Neural Collapse in Medical Image Classification

Bu, Dechao

• MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

Bu, Ran

• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Budd, Charlie

• Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Bui, Doanh C.

• FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Bui, Phuoc-Nguyen

• Visual-Textual Matching Attention for Lesion Segmentation in Chest Images

Bujny, Mariusz

• Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Bunnell, Arianna

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Burgos, Ninon

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Bürgin, Vincent

• Topologically faithful multi-class segmentation in medical images

Cafaro, Alexandre

• Two Projections Suffice for Cerebral Vascular Reconstruction

Cai, Chenyu

• Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation

Cai, Haibin

• Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Cai, Hongmin

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Cai, Jianfei

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Cai, Jiangdong

• MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction
• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Cai, Linghan

• Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
• H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
• Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Cai, Qingling

• BGDiffSeg: a Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance

Cai, Shangyan

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Cai, Weidong

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Cai, Xinyi

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Cai, Xuyue

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Cai, Yu

• Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

Cai, Yuxin

• Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Cai, Zhiyuan

• BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification

Cai, Zhuotong

• Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Callaghan, Ross

• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Camara, Oscar

• The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy
• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Campello, Victor M.

• SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging
• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Candinas, Daniel

• Online 3D reconstruction and dense tracking in endoscopic videos

Candito, Antonio

• Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Cao, Chao

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks

Cao, Dongliang

• A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning

Cao, Guanglin

• Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Cao, Jiale

• DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Cao, Jinde

• Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Cao, Meng

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Cao, Peng

• Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
• Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement
• 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

Cao, Qing

• EchoNarrator: Generating natural text explanations for ejection fraction predictions

Cao, Xianpeng

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Cao, Xiaohuan

• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

Cao, Yankun

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Cao, Zehong

• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Cao, Zhi

• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Caramalau, Razvan

• HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Carano, Richard A. D.

• A task-conditional mixture-of-experts model for missing modality segmentation

Cardoso, M. Jorge

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Carrera-Pinzón, Andrés Felipe

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Carretta, Alessandro

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Casey, Romain

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Castelo, Austin

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Castillo, Simon P.

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Cattin, Philippe C.

• Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Ceballos-Arroyo, Alberto M.

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Cebeiro, Javier

• UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Cechnicka, Sarah

• URCDM: Ultra-Resolution Image Synthesis in Histopathology

Cen, Min

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Cerrone, Lorenzo

• SynCellFactory: Generative Data Augmentation for Cell Tracking

Cerón, Alexander

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Chaddad, Ahmad

• FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

Chai, Jiaxing

• QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Chai, Senchun

• SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Chai, Shurong

• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Chaitanya, Krishna

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Chakraborti, Tapabrata

• Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias

Chakraborty, Snehashis

• Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Chakraborty, Souradeep

• Decoding the visual attention of pathologists to reveal their level of expertise

Chakraborty, Tapabrata

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Chakravarty, Arunava

• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Challier, Léo

• On predicting 3D bone locations inside the human body

Chambost, Jérôme

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Chan, Emily

• Interpretable Representation Learning of Cardiac MRI via Attribute Regularization

Chan, Yi Hao

• IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Chandra, Joydeep

• Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Chang, Ao

• EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Chang, Brian

• CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Chang, Shi

• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Chao, Hanqing

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Chartsias, Agisilaos

• BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Chaudhary, Shivesh

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Chawla, Manisha

• Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

Che, Haoxuan

• Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

Chen, Aobo

• Modeling and Understanding Uncertainty in Medical Image Classification

Chen, Beibei

• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Chen, Bin

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Chen, Bingzhi

• Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Chen, Boqi

• A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

Chen, Chao

• Spatial Diffusion for Cell Layout Generation
• Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
• Hard Negative Sample Mining for Whole Slide Image Classification

Chen, Chen

• Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Chen, Cheng

• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
• Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Chen, Clark

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Chen, Danny Z.

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
• LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Chen, Dongdong

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Chen, Duanduan

• LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Chen, Elvis C. S.

• A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking

Chen, Eric Z.

• Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Chen, Fang

• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
• Airway segmentation based on topological structure enhancement using multi-task learning

Chen, Fuqiang

• Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

Chen, Geng

• TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI
• SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Chen, Guilin

• Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Chen, Hairui

• Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Chen, Hao

• XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization
• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
• Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
• Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
• Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
• MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology
• Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
• HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction
• Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging
• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
• Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification
• Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging
• Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
• BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification
• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
• Aligning Medical Images with General Knowledge from Large Language Models

Chen, Haowei

• Region Attention Transformer for Medical Image Restoration
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Chen, Hongbo

• RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Chen, Hu

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Chen, Hui

• When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels

Chen, Jiahao

• Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Chen, Jiahe

• Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Chen, Jiale

• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Chen, Jianan

• Detecting noisy labels with repeated cross-validations

Chen, Jianhua

• Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Chen, Jiawei

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Chen, Jiayi

• FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation

Chen, Jingyun

• H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

Chen, Jintai

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
• LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Chen, Jiongquan

• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Chen, Jixiang

• Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
• Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction

Chen, Junren

• TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

Chen, Kai

• Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Chen, Leqi

• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

Chen, Li

• I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation

Chen, Liangyin

• TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

Chen, Lingyu

• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
• Airway segmentation based on topological structure enhancement using multi-task learning

Chen, Luonan

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Chen, Mao

• IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Chen, Mingcong

• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Chen, Minghui

• Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

Chen, Nanguang

• Topological Cycle Graph Attention Network for Brain Functional Connectivity

Chen, Pingjun

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Chen, Pingyi

• WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Chen, Qi

• Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

Chen, Qian

• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

Chen, Qiang

• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

Chen, Qianqian

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Chen, Qingchao

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Chen, Qishen

• MMQL: Multi-Question Learning for Medical Visual Question Answering

Chen, Rui

• TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

Chen, Ruoyu

• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Chen, Rusi

• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Chen, Shengbo

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Chen, Shuang

• Depth-Aware Endoscopic Video Inpainting

Chen, Shuangping

• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Chen, Shuohui

• Towards a Deeper insight into Face Detection in Neonatal wards

Chen, Si

• Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Chen, Sixiang

• Cross-conditioned Diffusion Model for Medical Image to Image Translation

Chen, Siyan

• Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Chen, Terrence

• Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
• Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Chen, Tianxing

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Chen, Tingxiu

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

Chen, Tong

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Chen, Wenting

• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Chen, Wu

• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Chen, Xi

• Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
• Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

Chen, Xiang

• MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Chen, Xiao

• Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Chen, Xiaoxi

• From Pixel to Cancer: Cellular Automata in Computed Tomography

Chen, Xiaoxuan

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

Chen, Xiuju

• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation

Chen, Xiwen

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Chen, Xu

• SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Chen, Yang

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Chen, Yaxiong

• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Chen, Yen-Wei

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation
• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Chen, Yicheng

• On-the-Fly Guidance Training for Medical Image Registration

Chen, Yinda

• Joint EM Image Denoising and Segmentation with Instance-aware Interaction
• BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval

Chen, Yingyu

• Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System

Chen, Yixin

• LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

Chen, Yong

• Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction

Chen, Yu-Jen

• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Chen, Yuan

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

Chen, Yubei

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Chen, Yufei

• Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Chen, Yunjie

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Chen, Yuwen

• Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Chen, Yuxuan

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Chen, Zhaolin

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Chen, Zhaorun

• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Chen, Zhe

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Chen, Zhen

• Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization
• MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
• Endora: Video Generation Models as Endoscopy Simulators
• Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

Chen, Zhen Ji

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Chen, Zhenghao

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Chen, Zhennong

• Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

Chen, Zhiguang

• Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Chen, Zhihao

• Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Chen, Zhixuan

• XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization

Chen, Zijiao

• Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Chen, Ziran

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Cheng, Cheng-Chieh

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Cheng, Ching-Yu

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Cheng, Jiale

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
• Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans

Cheng, Jian

• Real-world Visual Navigation for Cardiac Ultrasound View Planning
• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI

Cheng, Jing

• SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Cheng, Jun

• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Cheng, Junlong

• TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields
• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Cheng, Kwang-Ting

• Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
• Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
• Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
• FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
• FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
• Aligning Medical Images with General Knowledge from Large Language Models

Cheng, Peng

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Cheng, Pujin

• Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

Cheng, Ruidong

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Cheng, Shuai

• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

Cheng, Wensheng

• Self-supervised 3D Skeleton Completion for Vascular Structures

Cheng, Xinxing

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Cheng, Xuxin

• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Cheng, Yanqi

• Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

Cheoi, Kyung J.

• SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

Cheplygina, Veronika

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Cheriet, Farida

• A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

Chernyshov, Artem

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Cherubini, Andrea

• Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Chierici, Andrea

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Chikontwe, Philip

• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
• Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification
• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Chiu, Ching-Hao

• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Chiu, Ka Fung Peter

• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Cho Kim, Woo-Jin

• BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Cho, Hyuna

• Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Cho, Seungryong

• Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Cho, Sue Min

• Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery

Choi, Gayoon

• Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

Choi, Min-Kook

• Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Choi, Sang-Il

• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Choi, Yongjin

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Choi, Yoonseok

• Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Cholakkal, Hisham

• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Choo, Hyunseung

• Visual-Textual Matching Attention for Lesion Segmentation in Chest Images

Choo, Kyobin

• Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

Chou, Yu-Cheng

• Embracing Massive Medical Data

Chow, Chiyuen

• Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Chowdary, G. Jignesh

• Med-Former: A Transformer based Architecture for Medical Image Classification

Chowdhury, Townim F.

• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Chrabaszcz, Maciej

• Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation

Christen, Thomas

• MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Christensen, Anders Nymark

• Shortcut Learning in Medical Image Segmentation
• Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Christiansen, Filip

• A framework for assessing joint human-AI systems based on uncertainty estimation

Christodoulou, Evangelia

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Chu, Hongbo

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Chu, Winnie Chiu Wing

• Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Chu, Xuesen

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
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Chu, Yinghua

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Chu, Yongqiang

• HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Chu, Yuetan

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Chuai, Guohui

• Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Chuai, Jie

• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
• Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Chun, Rachel Ka-Man

• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Chung, Albert C. S.

• Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment

Cimen, Serkan

• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Clark, Simon J.

• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Clarkson, Matthew J.

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker
• HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Clifton, David A.

• Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring

Cobb, Robert

• Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Cochener, Béatrice

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Cohen-Jonathan Moyal, Elizabeth

• DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

Colliot, Olivier

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Comaniciu, Dorin

• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Combès, Benoit

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Comtat, Claude

• Simulation Based Inference for PET iterative reconstruction

Cong, Fengyu

• Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

Consagra, William

• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Contractor, Sohail

• IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)
• A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

Conze, Pierre-Henri

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Cook, Gary J. R.

• Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Cordero-Grande, Lucilio

• CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Cortese, Rosa

• Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Cotin, Stéphane

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
• Towards realistic needle insertion training simulator using partitioned model order reduction

Coudert, Thomas

• MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Courtecuisse, Hadrien

• Towards realistic needle insertion training simulator using partitioned model order reduction

Cruz-Roa, Angel

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Cui, Beilei

• EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Cui, Can

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Cui, Hengfei

• FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation

Cui, Hui

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Cui, Jiaqi

• MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction
• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Cui, Lingguo

• SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Cui, Lizhen

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Cui, Qiming

• 7T MRI Synthesization from 3T Acquisitions

Cui, Ruize

• Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

Cui, ShaoGuo

• GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

Cui, Shuguang

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Cui, Xiaoxiao

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Cui, Zhiming

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs
• HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction
• Cephalometric Landmark Detection across Ages with Prototypical Network
• A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Cui, Zhuo-Xu

• SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Cula, Gabriela Oana

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Curiale, Ariel H.

• Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD

Curran, Kathleen M.

• Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Curry, Nathan

• Interpretable phenotypic profiling of 3D cellular morphodynamics

Cárdenas, Paula

• Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Dai, Licun

• QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Dai, Ling

• Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

Dai, Pengyu

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Dai, Siyuan

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Dai, Tianhong

• Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Dai, Wei

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Dakri, Abdelmouttaleb

• On predicting 3D bone locations inside the human body

Dalen, Håvard

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Damasceno, Pablo F.

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Dan, Tingting

• Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling
• Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport
• Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
• A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Dang, Trung

• SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression

Dannecker, Maik

• CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Darkner, Sune

• In vivo deep learning estimation of diffusion coefficients of nanoparticles

Das Chakladar, Debashis

• SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Das, Abhijit

• Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Das, Adrito

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Das, Ankit

• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Das, Swagatam

• Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias

Datar, Manasi

• Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Daupin, Kévin

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Dautremer, Thomas

• Simulation Based Inference for PET iterative reconstruction

Dawood, Peter

• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Day, Thomas

• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

De Sousa Ribeiro, Fabio

• Mitigating attribute amplification in counterfactual image generation

De Thonel, Aurélie

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

De Vries, Matt

• Interpretable phenotypic profiling of 3D cellular morphodynamics

De Witt Hamer, Philip C.

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

DeCarli, Charles S.

• ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Dehghani, Shervin

• Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Del Priore, Lucian V.

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Delamare, Eduardo

• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Delfino, Jana

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Delingette, Hervé

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Delphin, Aurélien

• MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Demirel, Omer B.

• Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

Deng, Hannah H.

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Deng, Haowen

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Deng, Min

• Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Deng, Qingxin

• TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Deng, Ruining

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Deng, Sen

• Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Deng, Shiyu

• Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Deng, Wenlong

• Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

Deng, Yongqiang

• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Deng, Zhipeng

• Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging

Dent, Lucas G.

• Interpretable phenotypic profiling of 3D cellular morphodynamics

Deoni, Sean

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Derangère, Valentin

• MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Descoteaux, Maxime

• TractOracle: towards an anatomically-informed reward function for RL-based tractography

Desrosiers, Christian

• FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

Dessevres, Eugénie

• MuST: Multi-Scale Transformers for Surgical Phase Recognition

Deutges, Michael

• Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images

Devkota, Alina

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

Dhakal, Manish

• VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Dhanakshirur, Rohan Raju

• VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Dharmakumar, Rohan

• The MRI Scanner as a Diagnostic: Image-less Active Sampling

Di Folco, Maxime

• Interpretable Representation Learning of Cardiac MRI via Attribute Regularization

Di Lorenzo, Gilles

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Di Salvo, Francesco

• Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Di, Yicheng

• PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images

DiBella, Ed

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Diao, Xianfen

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Diaz, Oliver

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Diez, Paula

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Dilawar, Nimra

• Few-Shot Domain Adaptive Object Detection for Microscopic Images

Ding, Hengtao

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Ding, Jiaqi

• Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
• A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Ding, Sixian

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

Ding, Weiping

• Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis

Ding, Xiaowei

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning

Ding, Xinpeng

• Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
• HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Ding, Zhengyao

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Ding, Ziyuan

• HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation

Dinsdale, Nicola

• Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Diop, Cheikh Talibouya

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Diop, Idy

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Djoumessi, Kerol

• This actually looks like that: Proto-BagNets for local and global interpretability-by-design
• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Dockès, Jérôme

• NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

Dodelzon, Katerina

• Longitudinal Mammogram Risk Prediction

Doerrich, Sebastian

• Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Dojat, Michel

• Robust Conformal Volume Estimation in 3D Medical Images

Dolz, Jose

• Few-shot Adaptation of Medical Vision-Language Models
• Class and Region-Adaptive Constraints for Network Calibration

Dombrowski, Mischa

• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Domínguez, Marina

• Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation

Dong, Guangwei

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Dong, Haichuan

• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Dong, Haoyu

• Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Dong, Ming

• Conditional diffusion model with spatial attention and latent embedding for medical image segmentation

Dong, Pei

• Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Dong, Ruihai

• Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Dong, Siyuan

• Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Dong, Wenhui

• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Dong, Wenzhen

• Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Dong, Xiao

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Dong, Xiuyu

• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Dong, Yafei

• PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

Dong, Zhicheng

• Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Dong, Zhijian

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Dong, Zijian

• Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Dorent, Reuben

• Two Projections Suffice for Cerebral Vascular Reconstruction
• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Dou, Haoran

• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Dou, Qi

• Weakly-supervised Medical Image Segmentation with Gaze Annotations
• Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection
• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
• Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning
• Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
• Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Dou, Yulong

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Doyle, Senan

• Robust Conformal Volume Estimation in 3D Medical Images

Dreizin, David

• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Dromey, Brian

• HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Drukker, Lior

• Zoom Pattern Signatures for Fetal Ultrasound Structures

Druzhinina, Polina

• MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Du, Bo

• WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
• Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Du, Chenhe

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Du, Chenlin

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

Du, Congwu

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain

Du, Honghui

• Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Du, Jiawei

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Du, Jing

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Du, Jun

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Du, Lei

• Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

Du, Shaoyi

• Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs
• ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Du, Siyao

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Du, Siyuan

• Reprogramming Distillation for Medical Foundation Models

Du, Xiaolong

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images

Du, Yanfeng

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Du, Yuexi

• CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Du, Yuning

• The MRI Scanner as a Diagnostic: Image-less Active Sampling

Du, Zhicheng

• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

Duan, Fan

• I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation

Duan, Jinming

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Duan, Lingyu

• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Duan, Lixin

• Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
• Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Duan, Peibo

• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Dubreuil, Véronique

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Duchateau, Nicolas

• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Ducros, Nicolas

• Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

Duggan, Nicole

• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Duh, Henry B. L.

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Duhaime, Erik P.

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)
• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Duncan, James S.

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
• Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Dunnmon, Preston

• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Dunsby, Christopher

• Interpretable phenotypic profiling of 3D cellular morphodynamics

Duong-Tran, Duy

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Durak, Gorkem

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Duriez, Christian

• Towards realistic needle insertion training simulator using partitioned model order reduction

Durrer, Alicia

• Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Durso-Finley, Joshua

• Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Duval, Renaud

• A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

Dvornek, Nicha C.

• CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

Dwedari, Mohammed Munzer

• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Dwyer, Amy

• A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

Dylov, Dmitry V.

• Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects

D’Arnese, Eleonora

• Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Eble, Sebastian

• FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Echihabi, Karima

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Edwards, Philip J. “Eddie”

• HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Eiben, Bjoern

• Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

Eichhorn, Hannah

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Eijgelaar, Roelant S.

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

El Amrani, Nafie

• A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning

El Habib Daho, Mostafa

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

El Hadramy, Sidaty

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

El Nahhas, Omar S. M.

• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

El Youssef, Yasmin

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

El-Baz, Ayman

• IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)
• A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

Elbatel, Marawan

• FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
• Evaluating the Fairness of Neural Collapse in Medical Image Classification
• An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis

Elghareb, Tarek

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Elhabian, Shireen Y.

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
• Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Elmore, Joann G.

• Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Eltaher, Mohamed

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Emaminejad, Nastaran

• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Emberton, Mark

• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Emre, Taha

• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Endres, Jonathan

• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Engelhardt, Sandy

• FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Entezari, Alireza

• An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law

Eo, Taejoon

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Epstein, Elisabeth

• A framework for assessing joint human-AI systems based on uncertainty estimation

Er, Sezgin

• CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Erkan, Selen

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Eshaghzadeh Torbati, Mahbaneh

• ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Eshraghi Dehaghani, Mehrdad

• Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Essert, Caroline

• Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

Fadnavis, Shreyas

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Faghihroohi, Shahrooz

• XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography
• Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

Fairhurst, Merle

• Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Falahkheirkhah, Kianoush

• Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Falet, Jean-Pierre

• Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Fan, Chao

• Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Fan, Fuxin

• Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

Fan, Jiansong

• PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images

Fan, Li

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Fan, Mingcheng

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Fan, Shuyi

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Fan, Victoria

• A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking

Fan, Wenkang

• Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Fan, Wenrui

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Fan, Xiaolin

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Fan, Xiaoya

• A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Fan, Yong

• Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Fang, Fen

• See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Fang, Hao

• Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Fang, Huihui

• Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
• Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Fang, Kathy

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Fang, Ruogu

• Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Fang, Wei

• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Fang, Xiao

• Aligning Medical Images with General Knowledge from Large Language Models

Fang, Xinyan

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Fang, Yingying

• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
• Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Fang, Yu

• MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction
• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Fang, Yuejian

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Fang, Yuqi

• Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Fang, Zhengqing

• Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Farazi, Mohammad

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Faridpooya, Koorosh

• Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Farshad, Azade

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Fayyad, Jamil

• BiasPruner: Debiased Continual Learning for Medical Image Classification

Fehrentz, Maximilian

• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Fei, Manman

• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Fei, Yuchen

• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Felsner, Lina

• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
• Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Feng, Brandon Y.

• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
• Endora: Video Generation Models as Endoscopy Simulators

Feng, Chun-Mei

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
• Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Feng, Dagan

• Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Feng, Fan

• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Feng, Jun

• RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma
• Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Feng, Rui

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Feng, Siyang

• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Feng, Tian

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Feng, Wei

• Universal Semi-Supervised Learning for Medical Image Classification

Feng, Xiaoyi

• Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Feng, Xue

• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Feng, Yang

• PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Feng, Yidan

• Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Feng, Zunlei

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Feragen, Aasa

• Shortcut Learning in Medical Image Segmentation
• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Fernando, Gerard M. X.

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Ferreira, Pedro F.

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Feuerhake, Friedrich

• Unsupervised Latent Stain Adaptation for Computational Pathology
• Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Fietkau, Rainer

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Filiol, Jérome

• AcneAI: A new acne severity assessment method using digital images and deep learning

Fintelmann, Florian J.

• Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

Fischer, Paul

• Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
• PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Fischer, Stefan M.

• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Folle, Lukas

• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Fooladgar, Fahimeh

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Forbes, Florence

• Robust Conformal Volume Estimation in 3D Medical Images

Fourkioti, Olga

• Interpretable phenotypic profiling of 3D cellular morphodynamics

Franke, Loraine

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Frantsuzov, Grigoriy

• Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Frellsen, Jes

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Freund, Yoav

• Towards Explainable Automated Neuroanatomy

Friedman, Beth

• Towards Explainable Automated Neuroanatomy

Friedman, Constantin

• Decoding the visual attention of pathologists to reveal their level of expertise

Friedman, Paul

• Decoding the visual attention of pathologists to reveal their level of expertise

Friedrich, Paul

• Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Frisken, Sarah

• Two Projections Suffice for Cerebral Vascular Reconstruction
• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Fritsche, Lars

• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Fréour, Thomas

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Fu, Bangkang

• mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Fu, Huazhu

• Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
• Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
• Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
• MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
• MedSynth: Leveraging Generative Model for Healthcare Data Sharing
• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification
• FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
• DB-SAM: Delving into High Quality Universal Medical Image Segmentation
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Fu, Juan

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Fu, Peiyao

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Fu, Xueming

• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Fu, Yujuan

• DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Fua, Pascal

• Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Fudalej, Piotr

• Let Me DeCode You: Decoder Conditioning with Tabular Data

Fujii, Ryo

• EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

Fürnstahl, Philipp

• Spatial Context Awareness in Surgery through Sound Source Localization

Gaddey, Hemanth

• Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

Galassi, Francesca

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Galati, Francesco

• Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Galdran, Adrian

• The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

Galvin, Colin

• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Gamal, Mahmoud

• Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

Gambhir, Mohit

• D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Gamgam, Gurur

• Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Gan, Yi

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Gan, Zhengyu

• Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images

Ganesh, Aravind

• Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT
• Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Gani, Hanan

• MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Gao, Bingchen

• Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Gao, Fei

• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Gao, Feng

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Gao, Huan-ang

• FairDiff: Fair Segmentation with Point-Image Diffusion

Gao, Huxin

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Gao, Jianzhe

• QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Gao, Jie

• SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Gao, Mengdi

• Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Gao, Mingju

• FairDiff: Fair Segmentation with Point-Image Diffusion

Gao, Tianhong

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Gao, Xin

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
• MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
• DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
• Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Gao, Yaozong

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Gao, Yibo

• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Gao, Yifan

• MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
• DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Gao, Yuan

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• MEDBind: Unifying Language and Multimodal Medical Data Embeddings
• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Gao, Yuchong

• RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Gao, Yue

• PathoTune: Adapting Visual Foundation Model to Pathological Specialists
• Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs
• Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
• ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Gao, Yunhe

• Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Gao, Zeyu

• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Gao, Zhan

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Gao, Zhenhua

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Gao, Zheyao

• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Gao, Zhifan

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models
• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
• Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing
• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Gao, Zhongpai

• Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Gao, Zijun

• An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Gao, Zilve

• Centerline Boundary Dice Loss for Vascular Segmentation

Garbi, Rafeef

• BiasPruner: Debiased Continual Learning for Medical Image Classification

Garcia Peraza Herrera, Luis C.

• Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Garigapati, Kalyan

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain

Garrett, John

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Garrucho, Lidia

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Gateno, Jaime

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Gauba, Richa

• D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Gaubert, Malo

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Gautam, Chandan

• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Gautam, Tanishq

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Gayo, Iani J. M. B.

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Gazeau, Léa

• AcneAI: A new acne severity assessment method using digital images and deep learning

Ge, Jingjie

• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

Ge, Zongyuan

• Universal Semi-Supervised Learning for Medical Image Classification
• TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Geng, Yimeng

• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Genovesio, Auguste

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Gervelmeyer, Julius

• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Ghadiri, Ali

• XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Ghafouri, Ali

• Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Ghanem, Bernard

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Ghanem, Louis R.

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Ghassemi, Marzyeh

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Ghayem, Fateme

• NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

Gheisari, Marzieh

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Ghesu, Florin C.

• Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow
• Goal-conditioned reinforcement learning for ultrasound navigation guidance
• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Ghosh, Arijit

• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Ghosh, Shantanu

• Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Ghunaim, Yasir

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Giannarou, Stamatia

• StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Gilani, Syed Zulqarnain

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Gilany, Mahdi

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Giral, Alexis

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Girish, Deepank

• IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Giuffrida, Mario Valerio

• TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Glandorf, Lukas

• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Glaser, Yannik

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Glide-Hurst, Carri

• Conditional diffusion model with spatial attention and latent embedding for medical image segmentation

Glocker, Ben

• Mitigating attribute amplification in counterfactual image generation
• Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Go, Sarah

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Goffart, Sébastien

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Goh, Rick Siow Mong

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
• Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
• MedSynth: Leveraging Generative Model for Healthcare Data Sharing
• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Golby, Alexandra

• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Goldsmith, Andrew

• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Gomaa, Ahmed

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Gomez, Alberto

• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
• BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Goncharov, Mikhail

• Anatomical Positional Embeddings

Gong, Bingchen

• Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Gong, Haiyu

• Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Gong, Kuang

• PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

Gong, Tieliang

• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Gong, Yuqi

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Gong, Yuxin

• Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Gonzalez, Karina P.

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Gonzalez-Jimenez, Alvaro

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

González Ballester, Miguel A.

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

González, Fabio

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Goñi, Joaqúın

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Gorade, Vandan

• Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Gottfrois, Philippe

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Gotway, Michael B.

• ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

Goury, Olivier

• Towards realistic needle insertion training simulator using partitioned model order reduction

Gowda, Shreyank N.

• Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring

Graham, Andrew D.

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Grauhan, Nils F.

• Voxel Scene Graph for Intracranial Hemorrhage

Greer, Hastings

• uniGradICON: A Foundation Model for Medical Image Registration

Grenne, Bjørnar

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Grewen, Karen

• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure

Gross, Markus

• Large-Scale 3D Infant Face Model
• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Grzeszczyk, Michal K.

• TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
• Let Me DeCode You: Decoder Conditioning with Tabular Data

Gröger, Fabian

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Gu, Ang Nan

• Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Gu, Changming

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Gu, Difei

• Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Gu, Dongdong

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Gu, Jin

• Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Gu, Lixu

• Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

Gu, Mingxuan

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Gu, Pengfei

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Gu, Renyang

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Gu, Yi

• Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Gu, Yifan

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Gu, Yuliang

• WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
• Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Gu, Yun

• Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures
• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Gu, Zaiwang

• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Gu, Zhuoyang

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Guan, Cuntai

• SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation
• See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Guan, Jiale

• Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

Guan, Tian

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Guan, Xianchao

• Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining

Guan, Yu

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Guan, Ziyu

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Guarnera, Francesco

• TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Guarrasi, Valerio

• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Gui, Lujun

• CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

Gui, Shuangchun

• Tail-Enhanced Representation Learning for Surgical Triplet Recognition

Gunawardhana, Malitha

• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Gunnarsson, Niklas

• Online learning in motion modeling for intra-interventional image sequences

Guo, Dazhou

• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Guo, Diandian

• Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Guo, Erjian

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Guo, Hongda

• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Guo, Jia

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Guo, Jiaxin

• Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Guo, Jinyue

• SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model
• NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning

Guo, Juncheng

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Guo, Lei

• Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

Guo, Mengguo

• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Guo, Pengxin

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Guo, Qiang

• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Guo, Rui

• Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

Guo, Weihong

• Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization

Guo, Xiaohu

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Guo, Xiaoqing

• Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
• MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
• IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Guo, Xinyu

• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Guo, Xutao

• Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Guo, Yilin

• BGDiffSeg: a Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance

Guo, Yixiao

• Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Guo, Yuanbo

• FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis

Guo, Yunhui

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Guo, Yunpeng

• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Guo, Yuzhi

• PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Guo, Zhengrui

• HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Guo, Ziqi

• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Guoliang, Chen

• Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Gupta, Gagan Raj

• Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

Gupta, Rajarsi

• Decoding the visual attention of pathologists to reveal their level of expertise

Guruge, Sahan I. T.

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Gutiérrez-Carvajal, R. E.

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Guzzi, Lisa

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Gyawali, Prashnna

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

Gözcü, Baran

• Large-Scale 3D Infant Face Model
• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Haeffele, Benjamin

• Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Haehn, Daniel

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Hagag, Amr

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Hager, Paul

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Hagerman, David

• Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Hahne, Christopher

• Online 3D reconstruction and dense tracking in endoscopic videos

Hajnal, Joseph V.

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion
• CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Hamamci, Ibrahim Ethem

• CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Hamarneh, Ghassan

• TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
• BiasPruner: Debiased Continual Learning for Medical Image Classification

Hammernik, Kerstin

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Hamprecht, Fred A.

• SynCellFactory: Generative Data Augmentation for Cell Tracking

Han, Anjia

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Han, Haojie

• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation

Han, Hua

• SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model
• NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning
• Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

Han, Jiyong

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Han, John J.

• MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Han, Junwei

• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model
• Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study
• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution
• ASPS: Augmented Segment Anything Model for Polyp Segmentation

Han, Kangfu

• Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans

Han, Keyi

• Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Han, Kun

• On-the-Fly Guidance Training for Medical Image Registration

Han, Longfei

• ASPS: Augmented Segment Anything Model for Polyp Segmentation

Han, Luyi

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Han, Shuo

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Han, Songhao

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Han, Tianyu

• On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

Han, Weixia

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Han, Woojung

• Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

Han, Xiangmin

• Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs
• ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Han, Xu

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

Han, Yuchi

• Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base

Hanif, Asif

• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Hannemose, Morten Rieger

• Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Hao, Chenru

• A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Hao, Huaying

• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

Hao, You

• 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

Hao, Zhaoquan

• EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

Haouchine, Nazim

• Two Projections Suffice for Cerebral Vascular Reconstruction
• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Hariharan, Rishabh

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Harmanani, Mohamed

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Harrison, Nicholas

• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Hartvigsen, Thomas

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Hasan, Mahmudul

• Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images

Hashimoto, Masahiro

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Hashmi, Anees Ur Rehman

• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Hasny, Marta

• Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

Hatano, Masashi

• EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

Hauberg, Søren

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Hayashi, Yuichiro

• Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency
• EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
• A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

Hayoz, Michel

• Online 3D reconstruction and dense tracking in endoscopic videos

He, Along

• Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
• FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

He, Chloe

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

He, Dongming

• IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

He, Hangzhou

• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

He, Jiahui

• Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

He, Jianjun

• Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation

He, Jin

• Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

He, Junjie

• mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

He, Junjun

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

He, Lei

• Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

He, Lifang

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

He, Mengxian

• Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

He, Mingguang

• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

He, Runlong

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

He, Xiaochen

• Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

He, Ying

• SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation

He, Yonghong

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

He, Yufang

• Generating Progressive Images from Pathological Transitions via Diffusion Model

He, Zhibin

• Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
• GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
• fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

He, Zhicheng

• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Hedderich, Dennis M.

• PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Hehr, Matthias

• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Heine, Lukas

• Anatomy-guided Pathology Segmentation

Heinrich, Mattias P.

• PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
• IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Heiselman, Jon

• LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

Hejrati, Behzad

• Conditional diffusion model with spatial attention and latent embedding for medical image segmentation

Heng, Pheng-Ann

• Weakly-supervised Medical Image Segmentation with Gaze Annotations
• Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
• Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
• Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
• Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Hensen, Erik F.

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Heo, Da-Woon

• BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis

Hernandez, Brenda Y.

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Hernandez, Monica

• Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Herrmann, Ken

• Anatomy-guided Pathology Segmentation

Hickman, Cristina

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Hill, Fraser

• High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Hisham, Md Hasibul Husain

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Ho, Tsung-Yi

• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Holden Helland, Ragnhild

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Holland, Robbie

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Hong, Jiuk

• Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Hong, Tingxuan

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Hong, Yi

• NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations

Hong, Yuan

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Horsfield, Catherine

• URCDM: Ultra-Resolution Image Synthesis in Histopathology

Hossain, Md Zakir

• Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

Hou, Junlin

• Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis

Hou, Qingshan

• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

Hou, Tao

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics
• Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis

Hou, Zeyi

• Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Houhou, Rola

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Hsiao, Janet H.

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Hsu, Christophe

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Hsu, Wen-Chi

• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Hu, Dan

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans

Hu, Dewei

• PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Hu, Dingdu

• DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Hu, Haoyu

• D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks

Hu, Hongjie

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Hu, Jiesi

• Centerline Boundary Dice Loss for Vascular Segmentation
• Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Hu, Jihong

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

Hu, Jingliang

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• Rethinking Cell Counting Methods: Decoupling Counting and Localization
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Hu, Jingtong

• FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis
• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Hu, Jintong

• Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Hu, Junlei

• Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Hu, Kaiyuan

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Hu, Ming

• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Hu, Qiang

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Hu, Qixin

• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Hu, Renjiu

• MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Hu, Rui

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Hu, Shu

• Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Hu, Xiaoling

• Spatial Diffusion for Cell Layout Generation
• Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
• Hard Negative Sample Mining for Whole Slide Image Classification

Hu, Yi

• LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Hu, Yichen

• A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

Hu, Yihuang

• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Hu, Ying

• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Hu, Yipeng

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
• One registration is worth two segmentations
• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker
• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Hu, Yiwen

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Hu, Yujian

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Hu, Yuqi

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Hu, Zhenhua

• Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Huai, Mengdi

• Modeling and Understanding Uncertainty in Medical Image Classification

Huan, Ruohong

• Towards a Deeper insight into Face Detection in Neonatal wards

Huang, Bin

• VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network
• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Huang, Bingsheng

• VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network
• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Huang, Dan

• Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Huang, Dingpin

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Huang, Feiyue

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Huang, Gao

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Huang, Haifeng

• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Huang, Haolin

• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

Huang, Heng

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Huang, Huajun

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Huang, Jiahao

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions
• Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Huang, Jiapeng

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Huang, Jiashuang

• Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis

Huang, Jiawei

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Huang, Jinghan

• Topological Cycle Graph Attention Network for Brain Functional Connectivity

Huang, Junzhou

• PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Huang, Kun

• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Huang, Lina

• DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation

Huang, Lu

• Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

Huang, Minghan

• TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Huang, Peng

• Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Huang, Pu

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Huang, Ruobing

• EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Huang, Shaofei

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Huang, Shiqi

• One registration is worth two segmentations

Huang, Shoujin

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Huang, Sijuan

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Huang, Siyu

• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Huang, Tianxiang

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Huang, Tiejun

• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Huang, Wei

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Huang, Weitian

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Huang, Wenjian

• Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Huang, Wenqi

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Huang, Wentao

• Hard Negative Sample Mining for Whole Slide Image Classification

Huang, Xiaoshuang

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation
• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Huang, Xiaoyu

• 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

Huang, Xingxu

• Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Huang, Xinrui

• IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

Huang, Xinyan

• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Huang, Yanquan

• Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport

Huang, Yawen

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Huang, Yi

• VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Huang, Yifei

• Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Huang, Yijin

• Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

Huang, Yiming

• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Huang, Yixing

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Huang, Yuhao

• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Huang, Yuliang

• Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

Huang, Yunshi

• Few-shot Adaptation of Medical Vision-Language Models

Huang, Yunzhi

• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI

Huang, Zhengxing

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
• Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Huang, Zhengyong

• Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

Huang, Zhiqi

• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Huang, Zimo

• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Huber, Niko B.

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Hui, Tik Ho

• High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Humbert, Ludovic

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Hung, Alex Ling Yu

• Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Huo, Yuankai

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Hussein, Burhan Rashid

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Hussein, Noor

• PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning

Hutter, Jana

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Hwang, Bo-Yeon

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Hwang, Dosik

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Hwang, Joonil

• Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Hwang, Seong Jae

• Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
• Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
• ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation
• Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

Hwang, Soojin

• Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Hwang, Yechan

• Multi-order Simplex-based Graph Neural Network for Brain Network Analysis

Häggström, Ida

• Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Ibrahim Adamu, Mariya

• Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Ibrahim, Yasin

• Semi-Supervised Learning for Deep Causal Generative Models

Iglesias, Juan E.

• PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Ilic, Slobodan

• Deep intra-operative illumination calibration of hyperspectral cameras

Ilyas, Zaid

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Imran, Ayisha

• A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Imre, Baris

• LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
• Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Inayat, Sumayya

• Few-Shot Domain Adaptive Object Detection for Microscopic Images

Indahlastari, Aprinda

• Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Inigo Romillo, Blanca

• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Iregui Guerrero, Marcela

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Isensee, Fabian

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Islam, Mobarakol

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
• EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Islam, Saahil

• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Ito, Hiroaki

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

Ivezic, Vedrana

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Jacques, Céline

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Jain, Kshitiz

• MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History
• Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

Jain, Rahul K.

• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Jamaludin, Amir

• Automated Spinal MRI Labelling from Reports Using a Large Language Model
• 3D Spine Shape Estimation from Single 2D DXA

Jamzad, Amoon

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Jaus, Alexander

• Anatomy-guided Pathology Segmentation

Jayasinghe, Saroj

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Jeong, Ah-Yeong

• BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis

Jeong, Davin

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Jeong, Jaehoon

• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Jeong, Jiwoong

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Jeong, Minjae

• Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Jeong, Won-Ki

• Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
• Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models
• Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Jesionek, Katarzyna

• Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Jha, Debesh

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Ji, Like

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Ji, Shengxiang

• On-the-Fly Guidance Training for Medical Image Registration

Ji, Wei

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Ji, Wen

• Diffusion-based Domain Adaptation for Medical Image Segmentation using Stochastic Step Alignment

Ji, Xu

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Ji, Zexin

• Deform-Mamba Network for MRI Super-Resolution

Ji, Zhanghexuan

• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Jia, Bosen

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Jia, Dengqiang

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Jia, Haoze

• Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

Jia, Ning

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Jia, Xi

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Jia, Zhenge

• FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis

Jiang, Bin

• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Jiang, Bo

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

Jiang, Caiwen

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
• HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction
• A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Jiang, Chenghui

• A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Jiang, Haifeng

• Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Jiang, Haojun

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Jiang, Hongchao

• Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis

Jiang, Huaizu

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Jiang, Hui

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Jiang, Jianmei

• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Jiang, Jingfeng

• GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

Jiang, Jiyu

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Jiang, Landu

• TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Jiang, Meirui

• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Jiang, Ning

• Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

Jiang, Rongtao

• Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Jiang, Shanzhi

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Jiang, Shu

• Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis

Jiang, Songhan

• Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
• H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

Jiang, Tingting

• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation
• ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

Jiang, Weili

• IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Jiang, Weiwen

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Jiang, Wenjing

• Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Jiang, Xiajun

• LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

Jiang, Yongluo

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Jiang, Yu

• Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
• GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

Jiang, Yue

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Jiang, Yufeng

• M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts

Jiang, Yuncheng

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Jiang, Zhiguo

• SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
• Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Jiang, Zhuqing

• Curriculum Prompting Foundation Models for Medical Image Segmentation

Jiao, Zhicheng

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Jiao, Zhuqing

• Customized Relationship Graph Neural Network for Brain Disorder Identification

Jie, Yuchan

• Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

Jin, Bin

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Jin, Bo

• Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Jin, Dakai

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Jin, Ge

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Jin, Haibo

• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Jin, Jing

• Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs

Jin, Mike

• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Jin, Qiangguo

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Jin, Ruinan

• Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

Jin, Yueming

• Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
• Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
• Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Jin, Zhuo

• Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Jin, Zihao

• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
• Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Jindal, Ankush

• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Jinzaki, Masahiro

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Jodoin, Pierre-Marc

• TractOracle: towards an anatomically-informed reward function for RL-based tractography
• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Johansson, Lisa

• Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Jones, Charles

• Mitigating attribute amplification in counterfactual image generation

Jones, Dominic

• Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Joshi, Sarang

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Joshi, Smriti

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Josse, Gwendal

• AcneAI: A new acne severity assessment method using digital images and deep learning

Joutard, Samuel

• HyperSpace: Hypernetworks for spacing-adaptive image segmentation

Ju, Dayun

• Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

Ju, Jianguo

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Ju, Lie

• Universal Semi-Supervised Learning for Medical Image Classification
• TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Judge, Arnaud

• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Judge, Thierry

• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Jun, Youngjun

• Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

Jung, Guil

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Jung, Heechul

• Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Jung, Minyoung

• Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Jung, Sungyoon

• Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Jung, Sunyoung

• Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Jäger, Paul F.

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Kabakcioglu, Alkan

• Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Kadoury, Samuel

• Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
• Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Kahl, Fredrik

• Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Kainz, Bernhard

• Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
• URCDM: Ultra-Resolution Image Synthesis in Histopathology
• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
• Image Distillation for Safe Data Sharing in Histopathology
• Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Kajita, Hiroki

• EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

Kakudi, Habeebah Adamu

• Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Kalinowski, Piotr

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Kalkhof, John

• Unsupervised Training of Neural Cellular Automata on Edge Devices

Kalra, Mannudeep K.

• Disease-informed Adaptation of Vision-Language Models
• Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Kalra, Prem

• VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Kambaluru, Ashok

• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Kambhamettu, Chandra

• Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs

Kamnitsas, Konstantinos

• Semi-Supervised Learning for Deep Causal Generative Models
• IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
• An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis

Kampen, Peter Johannes Tejlgaard

• Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Kan, Shichao

• HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation

Kanagavelu, Renuga

• MedSynth: Leveraging Generative Model for Healthcare Data Sharing

Kang, Di

• Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Kang, Eunsong

• BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis

Kang, Ming

• BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Kang, Myeongkyun

• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
• Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification

Kang, Xiaolu

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Kaplan, Alan D.

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Kapse, Saarthak

• HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

Kapur, Tina

• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Kapuria, Siddhartha

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Karaman, Batuhan K.

• Longitudinal Mammogram Risk Prediction

Karampinos, Dimitrios C.

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Karargyris, Alexandros

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Karimi, Davood

• An approach to building foundation models for brain image analysis

Karpavičiūtė, Neringa

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Karri, Meghana

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Kasem, Mahmoud SalahEldin

• IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)

Kataria, Tushar

• Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Kather, Jakob Nikolas

• On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Kaufmann, Ralph

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Kavoussi, Nicholas

• MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Kazeminia, Salome

• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Ke, Qiuhong

• DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Ke, Xueyi

• Integrating Clinical Knowledge into Concept Bottleneck Models

Kebiri, Hamza

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Kee, Chea-su

• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Keicher, Matthias

• ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling

Keller, Marilyn

• On predicting 3D bone locations inside the human body

Kerbrat, Anne

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Kersten-Oertel, Marta

• CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Kessy, Agnes

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Khadem, Mohsen

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Khader, Firas

• On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Khan, Danyal Z.

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Khan, Fahad

• MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation

Khan, Misaal

• DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Khan, Salman

• MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
• Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Khanal, Bidur

• Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Khanal, Bishesh

• VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Kheil, Ziad

• DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

Kho, Kuan

• Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Kholmovski, Eugene

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Khor, Hee Guan

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Kiechle, Johannes

• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Kim, Andrea

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Kim, Chanyoung

• Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

Kim, Dae-Shik

• Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Kim, Daeseung

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Kim, Dong-Hyun

• Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Kim, Eunjin

• Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

Kim, Eunsu

• Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Kim, Hyeon Bae

• Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain

Kim, Jaeyoung

• Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

Kim, JiHoon

• DeepRepViz: Identifying potential confounders in deep learning model predictions

Kim, Jin Sung

• Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Kim, Jinman

• Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Kim, Jisoo

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Kim, Jonghun

• RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

Kim, Jun-Min

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Kim, Jung Soo

• COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Kim, Junsik

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF
• MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

Kim, Kyungsang

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Kim, Kyungwon

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Kim, MinWoo

• Convolutional Implicit Neural Representation of pathology whole-slide images
• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Kim, Moon

• Anatomy-guided Pathology Segmentation

Kim, Myeong-Gee

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Kim, Nam Wook

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Kim, SaeHyun

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Kim, Sang-Yun

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Kim, Sangwook

• MEDBind: Unifying Language and Multimodal Medical Data Embeddings

Kim, Seong Tae

• Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain

Kim, Seonho

• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Kim, SeungKyu

• Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Kim, Soopil

• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Kim, SuJeong

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Kim, Sunjung

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Kim, Won Hwa

• Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport
• Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis
• OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
• Multi-order Simplex-based Graph Neural Network for Brain Network Analysis
• Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

Kim, Young-Ho

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Kim, Young-Min

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Kim, Yumin

• Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction

Kim, Yunsoo

• Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Kimberly, W. Taylor

• PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Kimstrand, Peter

• Online learning in motion modeling for intra-interventional image sequences

King, Irwin

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

Kirkegaard, Julius B.

• In vivo deep learning estimation of diffusion coefficients of nanoparticles

Kitasaka, Takayuki

• Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency
• EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
• A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

Kleesiek, Jens

• Anatomy-guided Pathology Segmentation

Klein, Stefan

• Evaluating the Fairness of Neural Collapse in Medical Image Classification

Kleinfeld, David

• Towards Explainable Automated Neuroanatomy

Knittel, Johannes

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Knoll, Florian

• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Ko, Eun Sook

• RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

Ko, Jaepil

• SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

Kobayashi, Etsuko

• Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Koch, Lisa

• This actually looks like that: Proto-BagNets for local and global interpretability-by-design
• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Koch, Valentin

• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Kofoed, Klaus

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Koh, Dow-Mu

• Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Koleilat, Taha

• MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Komeili, Amin

• Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Kong, Hengte

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Kong, Jun

• Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Kong, Qingpeng

• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Kong, Wentao

• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Kong, Xiangxing

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Kong, Yan

• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Kong, Yaqing

• 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

Konuk, Emir

• A framework for assessing joint human-AI systems based on uncertainty estimation

Konukoglu, Ender

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Konwer, Aishik

• MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars

Konz, Nicholas

• Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Kopp-Schneider, Annette

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Kormakov, Georgii

• MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Kornek, Dominik

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Korzeniowski, Przemysław

• TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
• Let Me DeCode You: Decoder Conditioning with Tabular Data

Kosti, Ronak

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Kostur, Marcin

• Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Kowalewski, Karl-Friedrich

• Deep intra-operative illumination calibration of hyperspectral cameras

Kratzke, Lisa

• Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Krishnan, Anitha Priya

• A task-conditional mixture-of-experts model for missing modality segmentation

Krishnan, Narayanan C.

• LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

Krishnaswamy, Smita

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Krull, Alexander

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Krumb, Henry J.

• Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

Krüger, Julia

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Kuang, Tianshu

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Kui, Xiaoyan

• Deform-Mamba Network for MRI Super-Resolution

Kujawa, Aaron

• Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

Kulikova, Daria

• EchoNarrator: Generating natural text explanations for ejection fraction predictions

Kulkarni, Yash

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Kumar, Atul

• Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Kumar, Komal

• Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Kumari, Pratibha

• Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Kumawat, Sudhakar

• Deep Volume Reconstruction from Multi-focus Microscopic Images

Kunanbayev, Kassymzhomart

• Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Kundu, Suprateek

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Kurmann, Thomas

• Online 3D reconstruction and dense tracking in endoscopic videos

Kurmukov, Anvar

• Anatomical Positional Embeddings

Kushibar, Kaisar

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Kutuzov, Nikolay P.

• In vivo deep learning estimation of diffusion coefficients of nanoparticles

Kühlewein, Laura

• This actually looks like that: Proto-BagNets for local and global interpretability-by-design

Kwak, Jin Tae

• Towards a text-based quantitative and explainable histopathology image analysis
• FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Kwan, Eugene

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Kwitt, Roland

• uniGradICON: A Foundation Model for Medical Image Registration

Kwon, Gitaek

• Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

Kwon, Hyuk-Sool

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Kwon, Junmo

• Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Kyriakopoulou, Vanessa

• CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Kühl, Tobias

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Lachinov, Dmitrii

• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Ladner, Daniela

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Ladoire, Sylvain

• MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Lago, Miguel

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Lai, Song

• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Lai, Xiaochun

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Lai, Yexin

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Lai, Yingxin

• QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Lai, Yuxiang

• From Pixel to Cancer: Cellular Automata in Computed Tomography

Lamard, Mathieu

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Lambert, Benjamin

• Robust Conformal Volume Estimation in 3D Medical Images

Lampen, Nathan

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Lan, Linqi

• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation

Lan, Rushi

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction
• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Lang, Daniel M.

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Lang, Ning

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
• Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Lang, Pencilla

• Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Lao, Qicheng

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection
• Curriculum Prompting Foundation Models for Medical Image Segmentation

Lareyre, Fabien

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Latyshev, Andrei

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Lau, Condon

• High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Launet, Laëtitia

• Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Laurienti, Paul

• Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
• A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Lauritzen, Martin

• In vivo deep learning estimation of diffusion coefficients of nanoparticles

Lauze, François

• In vivo deep learning estimation of diffusion coefficients of nanoparticles

Lawal, Yusuf

• Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Lawlor, Aonghus

• Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Le Boité, Hugo

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Le Digabel, Jimmy

• AcneAI: A new acne severity assessment method using digital images and deep learning

Le, Duc-Tai

• Visual-Textual Matching Attention for Lesion Segmentation in Chest Images

Le, Hieu

• Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Lebedeva, Mariia

• AcneAI: A new acne severity assessment method using digital images and deep learning

Ledig, Christian

• Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Lee, DongEon

• Convolutional Implicit Neural Representation of pathology whole-slide images
• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Lee, Hyeon-Jik

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Lee, Hyesang

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Lee, Hyun Gyu

• COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Lee, Jong Bub

• COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network

Lee, Jungwook

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Lee, Kyungryun

• Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior

Lee, Minjae

• Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

Lee, Sangyoon

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Lee, SeonYeong

• Convolutional Implicit Neural Representation of pathology whole-slide images

Lee, SiYeoul

• Convolutional Implicit Neural Representation of pathology whole-slide images
• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Lee, Sung Hak

• Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Lee, Yongmoon

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Lee, You-Sun

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Leeson, Paul

• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Lefdali, Rida

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Legault, Zacharie

• A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

Legouhy, Antoine

• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Lei, Baiying

• Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation
• DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models
• Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Lei, Haijun

• Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation
• Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Lei, Long

• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Lei, Zhen

• Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Lekadir, Karim

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Lemasson, Benjamin

• MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

Leng, Shuang

• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Lenz, Tim

• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Leow, Alex

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Lepetit, Vincent

• Two Projections Suffice for Cerebral Vascular Reconstruction

Lepore, Natasha

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Leslie, William D.

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Lewis, Joshua R.

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Li, Aibing

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Li, Bao

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Li, Bin

• Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Li, Binxu

• Evaluating the Quality of Brain MRI Generators

Li, Changhe

• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Li, Changyang

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Li, Chao

• Spatiotemporal Graph Neural Network Modelling Perfusion MRI
• Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
• Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
• Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
• D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
• Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Li, Chen

• Spatial Diffusion for Cell Layout Generation
• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Li, Cheng

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Li, Chenhao

• MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

Li, Chenxin

• LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
• Endora: Video Generation Models as Endoscopy Simulators

Li, Chunlei

• Rethinking Cell Counting Methods: Decoupling Counting and Localization
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning

Li, Chunli

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Li, Cong

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Li, Dengwang

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Li, Dongzhe

• Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

Li, Feng

• MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction

Li, Gang

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
• Development of Effective Connectome from Infancy to Adolescence
• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction
• Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans

Li, Ganping

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database

Li, Gaolei

• MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Li, Guanbin

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Li, Guoshi

• Development of Effective Connectome from Infancy to Adolescence

Li, Hansheng

• Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Li, Hao

• SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues
• PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke
• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Li, Haojie

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Li, Haolin

• Reprogramming Distillation for Medical Foundation Models

Li, Haoshen

• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Li, Hong-Jun

• Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Li, Honglin

• WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Li, Hongming

• Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Li, Hongwei Bran

• 3D Vessel Graph Generation Using Denoising Diffusion

Li, Hongxiang

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation
• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Li, Huiqi

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Li, Huiqian

• ASPS: Augmented Segment Anything Model for Polyp Segmentation

Li, Jiacheng

• Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Li, Jiawen

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Li, Jingxing

• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Li, Jinyang

• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

Li, Jizhou

• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Li, Jun

• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Li, Juncheng

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Li, Junchi

• Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network

Li, Kehan

• Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

Li, Kenli

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Li, Kunwei

• LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Li, Lanting

• Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis

Li, Lei

• VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation

Li, Lihua

• PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images
• Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

Li, Ling

• Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Li, Linlin

• NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning

Li, Liu

• Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Li, Lujie

• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Li, Meng

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Li, Ming

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Li, Mingcheng

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Li, Mingjian

• Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance

Li, Mingjie

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Li, Qi

• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Li, Qian

• Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting
• 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

Li, Qiang

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases
• Causal Intervention for Brain tumor Segmentation

Li, Qing

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Li, Qingli

• Prompting Whole Slide Image Based Genetic Biomarker Prediction
• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Li, Qingqiu

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Li, Qiong

• Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation

Li, Qirong

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Li, Qiufu

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Li, Quanlin

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Li, Quanzheng

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
• Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Li, Rui

• Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

Li, Shaoxin

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Li, Shaozi

• VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation
• QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Li, Shengli

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Li, Shilong

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Li, Shuhan

• Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

Li, Shuo

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
• Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization
• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction
• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Li, Sikuang

• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Li, Tao

• Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
• FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

Li, Tian

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Li, Tianbin

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Li, Wanhua

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF
• MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

Li, Wei

• Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

Li, Wenda

• EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

Li, Wenhao

• Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Li, Wenjun

• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Li, Wenxue

• TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Li, Wenyi

• FairDiff: Fair Segmentation with Point-Image Diffusion

Li, Wuyang

• When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
• LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
• From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• Endora: Video Generation Models as Endoscopy Simulators
• DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Li, Xiang

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
• Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Li, Xianjun

• Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space

Li, Xiao-Xin

• Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction

Li, Xiaohu

• Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Li, Xiaojian

• Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Li, Xiaomeng

• Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
• Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
• Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
• HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis
• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier
• FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
• An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis

Li, Xiaoshuang

• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Li, Xiaosong

• Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

Li, Xiaoxiao

• Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
• Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

Li, Xiaoxin

• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation

Li, Xiaoxu

• DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Li, Xing

• Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

Li, Xinxing

• Prompting Whole Slide Image Based Genetic Biomarker Prediction

Li, Xinyu

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Li, Xinyue

• High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Li, Xuejian

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Li, Xuesong

• Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

Li, Xuewei

• SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Li, Xuguang

• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Li, Xuyang

• SiFT: A Serial Framework with Textual Guidance for Federated Learning

Li, Yan

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Li, Yangyi

• Modeling and Understanding Uncertainty in Medical Image Classification

Li, Yanheng

• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Li, Yaoqian

• Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

Li, Yapeng

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

Li, Yi

• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Li, Yicong

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF
• MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

Li, Yihao

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Li, Yijie

• When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Li, Yilun

• MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Li, Yiming

• IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Li, Yingming

• Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Li, Yingshu

• MRScore: Evaluating Medical Report with LLM-based Reward System
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Li, Yingtai

• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Li, Yinhao

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation
• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Li, Yiran

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Li, Yitong

• PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Li, Yonghao

• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network
• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Li, Yuan

• Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

Li, Yuan-Fang

• DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Li, Yuanyuan

• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

Li, Yueheng

• Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining

Li, Yuexiang

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Li, Yunqi

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Li, Zhe

• Image Distillation for Safe Data Sharing in Histopathology

Li, Zhen

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Li, Zhenghong

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
• Self-supervised 3D Skeleton Completion for Vascular Structures

Li, Zhenming

• IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

Li, Zhenyang

• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Li, Zhenyu

• GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Li, Zhongsen

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

Li, Zhongyu

• ASPS: Augmented Segment Anything Model for Polyp Segmentation
• Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

Li, Zhuoyi

• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Li, Zihan

• Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Li, Ziqian

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Li, Ziyu

• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Lian, Chenyu

• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Lian, Chunfeng

• Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning
• Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis
• Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space
• Controllable Counterfactual Generation for Interpretable Medical Image Classification

Lian, Jun

• SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Lian, Sheng

• VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation

Liang, Dong

• SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging
• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Liang, Hongrui

• Curriculum Prompting Foundation Models for Medical Image Segmentation

Liang, Jianming

• ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

Liang, Jiye

• Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Liang, Junhao

• Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Liang, Junjie

• 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

Liang, Libin

• Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

Liang, Peixian

• Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Liang, Qinghao

• Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Liang, Wenjie

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Liang, Xiao

• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Liang, Xinglong

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Liang, Xinyu

• MRScore: Evaluating Medical Report with LLM-based Reward System

Liang, Yixiong

• HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
• DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation

Liang, Yong

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Liang, Yu

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Liang, Zhile

• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Liang, Ziyun

• IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Liao, Fei

• Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network

Liao, Hongen

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation
• Airway segmentation based on topological structure enhancement using multi-task learning
• Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Liao, Huai

• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Liao, Kewen

• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Liao, Minghui

• Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network

Liao, Peixi

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Liao, Wenjun

• Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

Liao, Yi

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Liao, Yue

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Liao, Zhibin

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Liebschner, Michael A. K.

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment

Ligero, Marta

• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Lill, Yoriko

• Large-Scale 3D Infant Face Model

Lim, Ho-Kyung

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Lim, Sang-Heon

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Liman, Michelle Espranita

• Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

Lin, Alexander

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Lin, Cheng Ting

• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Lin, Gigin

• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Lin, Hongxin

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Lin, Huamei

• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

Lin, Jianxin

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Lin, Lanfen

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation
• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Lin, Li

• BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification

Lin, Manqing

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Lin, Manxi

• Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
• Shortcut Learning in Medical Image Segmentation
• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Lin, Meng C.

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Lin, Qiqin

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Lin, Tianyu

• Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Lin, Weili

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
• Development of Effective Connectome from Infancy to Adolescence
• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Lin, Weiping

• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Lin, Xian

• Revisiting Self-Attention in Medical Transformers via Dependency Sparsification
• Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Lin, Xiyue

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Lin, Yi

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
• Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
• Aligning Medical Images with General Knowledge from Large Language Models

Lin, Yiqun

• Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
• Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
• Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Lin, Youzuo

• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Ling, Haibin

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
• Self-supervised 3D Skeleton Completion for Vascular Structures

Linguraru, Marius George

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Linte, Cristian

• Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Lionetti, Simone

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Liserre, Roberto

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Litrico, Mattia

• TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Liu, Anan

• Causal Intervention for Brain tumor Segmentation

Liu, Andrea J.

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Liu, Anglin

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Liu, Bo

• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Liu, Chang

• Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

Liu, Chao

• ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

Liu, Che

• BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval

Liu, Chen

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Liu, Dichao

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Liu, Dongdong

• MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Liu, Feihong

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Liu, Guang

• SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Liu, Guodong

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Liu, Han

• PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Liu, Hanruo

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Liu, Hengxin

• Causal Intervention for Brain tumor Segmentation

Liu, Hengyu

• LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
• Endora: Video Generation Models as Endoscopy Simulators

Liu, Hong

• SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Liu, Hongbin

• Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization
• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Liu, Jia

• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Liu, Jiachen

• VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Liu, Jiacheng

• Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Liu, Jiameng

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Liu, Jianfeng

• DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation

Liu, Jiaqing

• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Liu, Jiarun

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Liu, Jiashuai

• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Liu, Jie

• GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Liu, Jing

• SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

Liu, Jingxin

• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Liu, Jun

• Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing

Liu, Junwei

• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Liu, Kang

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Liu, Kechun

• Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Liu, Keyuan

• FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Liu, Leiye

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Liu, Lian

• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Liu, Lihao

• Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

Liu, Lingqiao

• MRScore: Evaluating Medical Report with LLM-based Reward System
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Liu, Mei

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Liu, Meng

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Liu, Mengjun

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Liu, Mengting

• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

Liu, Mianxin

• BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Liu, Mingsi

• Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
• Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Liu, Mingxia

• Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Liu, Mingyuan

• Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Liu, Mingzhu

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Liu, Peilin

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Liu, Peirong

• PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Liu, Peizhong

• A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Liu, Peng

• Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Liu, Qi

• Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Liu, Qing

• HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
• A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

Liu, Quan

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Liu, Shaonan

• GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Liu, Shengnan

• Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Liu, Shiyu

• Controllable Counterfactual Generation for Interpretable Medical Image Classification

Liu, Shiyuan

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Liu, Shuting

• XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography
• Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Liu, Si

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Liu, Siqi

• HistoSyn: Histomorphology-Focused Pathology Image Synthesis

Liu, Siyuan

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation

Liu, Tao

• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI

Liu, Tianming

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Liu, Tingwei

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Liu, Wei

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Centerline Boundary Dice Loss for Vascular Segmentation

Liu, Weizhou

• Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

Liu, Wenbin

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Liu, Wenjian

• MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

Liu, Wentao

• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Liu, Xi

• LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

Liu, Xianyuan

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Liu, Xiaofeng

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Liu, Xiaoli

• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

Liu, Xiaoyu

• BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval

Liu, Xinyu

• MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation
• From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos
• Endora: Video Generation Models as Endoscopy Simulators
• DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Liu, Xiujian

• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

Liu, Xueyu

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Liu, Yang

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Liu, Yaou

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Liu, Ye

• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Liu, Yepeng

• Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Liu, Yifan

• When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
• LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
• Endora: Video Generation Models as Endoscopy Simulators

Liu, Yikang

• Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Liu, Yilin

• SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Liu, Yipei

• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Liu, Yishu

• Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Liu, Yong

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
• Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
• MedSynth: Leveraging Generative Model for Healthcare Data Sharing
• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification
• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Liu, Yonghuai

• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Liu, Yuan

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Liu, Yuanjun

• MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Liu, Yuanye

• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Liu, Yun-hui

• Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Liu, Yunhui

• Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Liu, Yunyi

• MRScore: Evaluating Medical Report with LLM-based Reward System
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Liu, Yuxi

• FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

Liu, Yuxiao

• A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Liu, Zaiyi

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction
• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Liu, Zelong

• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image

Liu, Zeyu

• Generating Progressive Images from Pathological Transitions via Diffusion Model

Liu, Zhenbing

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction
• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Liu, Zhengji

• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Liu, Zhentao

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Liu, Zhenyu

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Liu, Zhi

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Liu, Zhongming

• Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Liu, Ziyi

• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Liu, Zuozhu

• PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Liyanaarachchi, Rukshani

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Liyanage, Udari A.

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Loizillon, Sophie

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Lombaert, Herve

• Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis

Long, Dazhi

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Long, Lifan

• MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction

Long, Qingqing

• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Long, Shun

• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Lorentzon, Mattias

• Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Lorenzi, Marco

• Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Lotery, Andrew

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Loukogeorgakis, Stavros

• Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Lourentzou, Ismini

• Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Lovstakken, Lasse

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Loza Galindo, Gerardo

• Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Lu, Bai

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Lu, Cheng

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction
• Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

Lu, Chunyao

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Lu, Dong

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Lu, Donghuan

• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Lu, Guangming

• Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Lu, Haiping

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Lu, Huchuan

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Lu, Jianfeng

• Customized Relationship Graph Neural Network for Brain Disorder Identification

Lu, Jiaxuan

• PathoTune: Adapting Visual Foundation Model to Pathological Specialists

Lu, Jiaying

• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

Lu, Jie

• GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Lu, Jinpeng

• H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

Lu, Le

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans
• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
• A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

Lu, Mengkang

• Spot the Difference: Difference Visual Question Answering with Residual Alignment
• Reciprocal Collaboration for Semi-supervised Medical Image Classification

Lu, Wenhuan

• SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Lu, Wenqi

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Lu, Yanye

• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

Lu, Yao

• Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

Lu, Yinbin

• EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

Lu, Yingling

• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning

Lu, Yueh-Hsun

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Lu, Yuhuan

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Lu, Zilin

• Spot the Difference: Difference Visual Question Answering with Residual Alignment
• Reciprocal Collaboration for Semi-supervised Medical Image Classification

Luan, Tianyu

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Luna, Miguel

• Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification
• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Luo, Gongning

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
• Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Luo, Guanxiong

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Luo, Guibo

• FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

Luo, Jie

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Luo, Jiejun

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Luo, Luyang

• XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization
• Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
• Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging

Luo, Mingyuan

• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Luo, Shaqi

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Luo, Xiangde

• Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
• An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Luo, Xiaoling

• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network
• GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Luo, Xinzhe

• Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

Luo, Xiongbiao

• Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Luo, Yaqing

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Luo, Yihao

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Luo, Yuanjiang

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Luo, Zhiming

• VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation
• QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection

Luo, Zihao

• An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Luong Ha, Tri Nhan

• Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Luttner, Lucas

• Unsupervised Latent Stain Adaptation for Computational Pathology
• Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Lux, Laurin

• Topologically faithful multi-class segmentation in medical images

Lv, Chaoyang

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Lv, Faqin

• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Lv, Tianxu

• PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images
• Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

Lv, Xiaodan

• A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Lv, Yanan

• Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

Lyu, Fei

• Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
• Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning
• Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Lyu, Jun

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Lyu, Mengye

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Lyu, Pengju

• MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

Lyu, Qingcheng

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Lyu, Yanjun

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

López-Pérez, Miguel

• Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Ma, Andy J

• Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation

Ma, Benteng

• FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation
• Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Ma, Congbo

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Ma, DongAo

• ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

Ma, Hehuan

• PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Ma, Jiabo

• HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Ma, Jianhua

• Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning
• Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis
• Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space
• Controllable Counterfactual Generation for Interpretable Medical Image Classification

Ma, Jinglu

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Ma, Jiquan

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Ma, Laifa

• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Ma, Lei

• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Ma, Longfei

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation
• Airway segmentation based on topological structure enhancement using multi-task learning

Ma, Qiang

• Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Ma, Siteng

• Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification

Ma, Tianyu

• Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

Ma, Ting

• Centerline Boundary Dice Loss for Vascular Segmentation
• Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Ma, Wen

• PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Ma, Xiang

• Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Ma, Xiao

• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Ma, Xinghua

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Ma, Xinke

• Reciprocal Collaboration for Semi-supervised Medical Image Classification

Ma, Yang

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Ma, Yi

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Ma, Yiyao

• Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Ma, Yuexin

• RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Ma, Yuhui

• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Ma, Yutao

• Prior Activation Map Guided Cervical OCT Image Classification

Ma, Zhuoqi

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Maack, Lennart

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Maani, Fadillah Adamsyah

• SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
• CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

MacDonald, M. Ethan

• Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

Madore, Bruno

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Madu, Amarachi B.

• Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Magnier, Baptiste

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Mahapatra, Dwarikanath

• Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Mahmood, Tariq

• Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

Maier, Andreas

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer
• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images
• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions
• Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Maier-Hein, Klaus

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Maier-Hein, Lena

• Deep intra-operative illumination calibration of hyperspectral cameras
• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Maitre, Thomas

• Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

Malik, Areez

• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Malila, Bessie

• SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Malmsten, Jonas

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Mani, Kartik

• HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

Mann, Ritse

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Manrique, Leonardo

• Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Mansi, Tommaso

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Mao, Anyu

• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Mao, Wenyue

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Marcus, Eric

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Marcus, Hani J.

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery

Margeta, Jan

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Marino, Joseph

• Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Marjańska, Małgorzata

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Marques, Miguel

• Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Marr, Carsten

• Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Martel, Anne L.

• Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology
• Detecting noisy labels with repeated cross-validations

Martin, Claire

• Towards realistic needle insertion training simulator using partitioned model order reduction

Masamed, Rinat

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Mascagni, Pietro

• Jumpstarting Surgical Computer Vision

Massin, Pascale

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Masters, Lynette

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Masuda, Masachika

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database

Matinfar, Sasan

• Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Matsun, Aleksandr

• CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

Matsuo, Shinnosuke

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

Matthews, Paul M.

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Mattonen, Sarah A.

• Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Maul, Noah

• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Mavura, Daudi

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Mayer, Leon D.

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Mazellier, Jean-Paul

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Mazomenos, Evangelos B.

• Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Mazurowski, Maciej A.

• Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

Mazzatenta, Diego

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Márquez-Neila, Pablo

• Online 3D reconstruction and dense tracking in endoscopic videos

McClelland, Jamie R.

• Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

McCue, Caroline

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

McGill, Sarah

• Structure-preserving Image Translation for Depth Estimation in Colonoscopy

McIntosh, Chris

• MEDBind: Unifying Language and Multimodal Medical Data Embeddings

McNeil, Matthew

• Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

Medetalibeyoglu, Alpay

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Mehtali, Jonas

• Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

Mei, Lanzhuju

• Cephalometric Landmark Detection across Ages with Prototypical Network

Mei, Siyuan

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Mejia, Gabriel

• Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Mekbib, D. B.

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Melkus, Gerd

• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Men, Aidong

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Men, Qianhui

• Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
• MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video

Mendez-Toro, Arnold

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Meng, Fangliangzi

• Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
• Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Meng, Gaofeng

• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Meng, Mingyuan

• Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Meng, Qingjie

• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Meng, Runqi

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net
• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Meng, Xiangxi

• LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

Meng, Yanda

• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Menon, Bijoy K.

• Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

Menten, Martin J.

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Menze, Bjoern

• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
• FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
• CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
• 3D Vessel Graph Generation Using Denoising Diffusion

Meraj, Talha

• A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Merhof, Dorit

• Unsupervised Latent Stain Adaptation for Computational Pathology
• Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Merle, David

• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Messiou, Christina

• Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Metaxas, Dimitris

• Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Metzler, Philipp

• Large-Scale 3D Infant Face Model

Meudec, Raphaël

• NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

Meurée, Cédric

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Mezger, Valérie

• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images

Miani, Marco

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Miao, Chenglin

• Modeling and Understanding Uncertainty in Medical Image Classification

Miao, Chunyan

• Anatomy-Aware Gating Network for Explainable Alzheimer’s Disease Diagnosis

Miao, Juzheng

• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
• Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Miao, Qiguang

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Miao, Yanzi

• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Mieling, Robin

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Miga, Michael

• LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

Mikolaj, Kamil

• Shortcut Learning in Medical Image Segmentation

Milojevic, Aleksandar

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Min, Zhe

• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Minhas, Aiman Mahmood

• A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Minhas, Davneet S.

• ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Miquel, Marc E.

• SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation

Misawa, Kazunari

• EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

Mishra, Deepak

• CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning

Mishra, Divyanshu

• STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

Miszalski-Jamka, Karol

• Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Mittal, Vidhi

• Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

Miyake, Mototaka

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Mo, Hangjie

• Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Mo, Shaocong

• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Mobadersany, Pooya

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Mohn, Frank

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Mok, Tony C. W.

• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

Moleta, Chace

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Mondal, Samrat

• FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Montiel, José M. M.

• Topological SLAM in colonoscopies leveraging deep features and topological priors

Moore, Juston

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Moradi, Mehdi

• Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Morel, Louis-Oscar

• MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Mori, Kensaku

• Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency
• EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
• A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

Morlana, Javier

• Topological SLAM in colonoscopies leveraging deep features and topological priors

Morooka, Ken'ichi

• Deep Volume Reconstruction from Multi-focus Microscopic Images

Morovati, Bahareh

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Morris, Alan

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Morse, Kathryn

• Modeling and Understanding Uncertainty in Medical Image Classification

Mou, Lei

• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Mou, Lichao

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• Rethinking Cell Counting Methods: Decoupling Counting and Localization
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Mouheb, Kaouther

• Evaluating the Fairness of Neural Collapse in Medical Image Classification

Mousavi, Parvin

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Moustafa, Abdel Hakim

• The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

Mu, Michael

• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Muehlebach, Michael

• Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Mueller, Andreas A.

• Large-Scale 3D Infant Face Model

Mukherjee, Pratik

• 7T MRI Synthesization from 3T Acquisitions

Mukhopadhyay, Anirban

• Voxel Scene Graph for Intracranial Hemorrhage
• Unsupervised Training of Neural Cellular Automata on Edge Devices
• Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

Muller, Candice

• Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Munoz, Camila

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Murali, Aditya

• Jumpstarting Surgical Computer Vision

Murthy, Venkatesh N.

• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Murugesan, Balamurali

• Class and Region-Adaptive Constraints for Network Calibration

Musa, Abraham Sunday

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Musa, Aminu

• Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

Musio, Fabio

• 3D Vessel Graph Generation Using Denoising Diffusion

Mutsvangwa, Tinashe E. M.

• SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Muzammel, Muhammad

• MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Muñoz-Moya, Estefano

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Müller, Philip

• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans
• Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images

Müller, Sarah

• Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Na, Inye

• RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

Na, Jincheol

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Nadeem, Saad

• Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Naeem, Roman

• Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Nagahara, Hajime

• Deep Volume Reconstruction from Multi-focus Microscopic Images

Nah, Wan Jun

• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Naidoo, Reed

• Interpretable phenotypic profiling of 3D cellular morphodynamics

Nalabothu, Prasad

• Large-Scale 3D Infant Face Model

Nalepa, Jakub

• Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Nam, Siwoo

• Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification
• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Namburete, Ana I. L.

• Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Namgung, Hyun

• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Nan, Yang

• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Nandakumar, Karthik

• SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
• PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
• PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Nankabirwa, Victoria

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Naranjo, Valery

• Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Naseer, Muzammal

• PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
• MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
• Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Natarajan, Sai

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Navab, Nassir

• XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography
• ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling
• Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling
• Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering
• HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
• Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
• Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation
• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation
• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Naval Marimont, Sergio

• Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Navarini, Alexander A.

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Navarro, Fernando

• FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Ndiaye, Maodo

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Nebelung, Sven

• On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction

Needleman, Daniel

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Netterstrøm, Rasmus

• In vivo deep learning estimation of diffusion coefficients of nanoparticles

Neumann, Dominik

• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Neve, Olaf M.

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Nezafat, Reza

• Myocardial Scar Enhancement in LGE Cardiac MRI using Localized Diffusion

Ngongonda, Dingase Faith

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Nguyen, Anh

• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Nguyen, Anh Tien

• Towards a text-based quantitative and explainable histopathology image analysis

Nguyen, Hang

• AcneAI: A new acne severity assessment method using digital images and deep learning

Nguyen, Hieu T.

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Nguyen, Huy Hoang

• SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression

Nguyen, Maï K.

• UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Nguyen, Nghi

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Nguyen, Thanh

• AcneAI: A new acne severity assessment method using digital images and deep learning
• A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors

Nguyen, Van Phi

• Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Nguyen, Zung

• AcneAI: A new acne severity assessment method using digital images and deep learning

Ng’ambi, Wingston

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Ni, Bo

• MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Ni, Dong

• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
• EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Nicholson, Lindsay

• TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

Nie, Dong

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI
• TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

Nie, Shiyun

• Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

Nie, Weizhi

• Causal Intervention for Brain tumor Segmentation

Nie, Xinyu

• Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

Nielles-Vallespin, Sonia

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Niethammer, Marc

• uniGradICON: A Foundation Model for Medical Image Registration
• A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

Nihalaani, Rachaell

• Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Ning, Guochen

• Airway segmentation based on topological structure enhancement using multi-task learning
• Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Ning, Lipeng

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Ning, Zhiyu

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Ning, Zhiyuan

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Niu, Yi

• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Niyaz, Usma

• LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

Noailly, Jérôme

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Noble, J. Alison

• Zoom Pattern Signatures for Fetal Ultrasound Structures
• STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos
• Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
• MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
• IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Novikova, Anna

• EchoNarrator: Generating natural text explanations for ejection fraction predictions

Novosad, Philip

• A task-conditional mixture-of-experts model for missing modality segmentation

Nyberg, John

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Oda, Masahiro

• Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency
• EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos
• A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

Oderinde, Gbenga Peter

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Odéen, Henrik

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Oguz, Ipek

• PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Oh, Hyun-Jic

• Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

Oh, Ji-Hun

• Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Oh, Seok-Hwan

• Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation
• Quantitative Assessment of Thyroid Nodules through Ultrasound Imaging Analysis

Okada, Seiji

• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Oladokun, Ajibola S.

• SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Oliva, Junier

• A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness

Oliveira, Jorge

• BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Opfer, Roland

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Orkild, Benjamin

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Oseledets, Ivan

• Anatomical Positional Embeddings

Osmani, Venet

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Osuala, Richard

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Otake, Yoshito

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Othman, Ahmed E.

• Voxel Scene Graph for Intracranial Hemorrhage

Ou, Ni

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Ou, Yafei

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Ou, Zaixin

• A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Ourselin, Sebastien

• Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

Ouseph, Rosemary

• A New Non-Invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted Kidney

Ouyang, Cheng

• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Ouyang, Jiahong

• SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Ouyang, Xi

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images
• Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

Ozdemir, Savas

• PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

O’Donnell, Edward

• Towards Explainable Automated Neuroanatomy

O’Donnell, Lauren J.

• When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

P. García-de-la-Puente, Natalia

• Domain Adaptation for Unsupervised Cancer Detection: An application for skin Whole Slides Images from an interhospital dataset

Pacheco, Carolina

• Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Padoy, Nicolas

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
• Jumpstarting Surgical Computer Vision
• HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
• Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Paetzold, Johannes C.

• Topologically faithful multi-class segmentation in medical images
• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
• 3D Vessel Graph Generation Using Denoising Diffusion

Pagnucco, Maurice

• XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Pai, Joy

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Pak, Daniel H.

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Pal, Jimut B.

• Convex Segments for Convex Objects using DNN Boundary Tracing and Graduated Optimization

Pan, Jiazhen

• Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

Pan, Xiang

• PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images
• Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

Pan, Xiaoxi

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Pan, Xipeng

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction
• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Pan, Yingtian

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
• Self-supervised 3D Skeleton Completion for Vascular Structures

Pan, Yun

• Towards a Deeper insight into Face Detection in Neonatal wards

Pan, Zhaoya

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Pan, Zhiyi

• Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Pang, Jiaxuan

• ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

Pang, Kaifeng

• Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Pang, Qiufan

• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Pang, Winnie

• Integrating Clinical Knowledge into Concept Bottleneck Models

Pang, Yunkui

• SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Papageorghiou, Aris T.

• Zoom Pattern Signatures for Fetal Ultrasound Structures
• STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos
• Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation

Paragios, Nikos

• Two Projections Suffice for Cerebral Vascular Reconstruction

Paranjape, Jay N.

• S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
• Black-Box Adaptation for Medical Image Segmentation

Park, Bokyung

• Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Park, Chankue

• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Park, Chunsu

• Convolutional Implicit Neural Representation of pathology whole-slide images
• CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic GAN for artifact removal in dual-energy CT imaging

Park, Doohyun

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Park, Hyunjin

• Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy
• RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
• Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Park, Jihun

• Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Park, Kicheon

• Self-supervised 3D Skeleton Completion for Vascular Structures

Park, NaHyeon

• Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Park, Robin Y.

• Automated Spinal MRI Labelling from Reports Using a Large Language Model

Park, Sang Hyun

• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
• Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification
• InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Park, Sangjoon

• Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Park, Tae Young

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Parker, Dennis L.

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Parmar, Chaitanya

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Paruchuri, Akshay

• Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Patel, Ankit B.

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Patel, Maitraya

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Patel, Vishal M.

• S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
• ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
• Black-Box Adaptation for Medical Image Segmentation

Patey, Olga

• STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

Pati, Pushpak

• Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

Paulsen, Rasmus

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Pawlowski, Nick

• Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

Payne, Allison

• Physics informed neural networks for estimation of tissue properties from multi-echo configuration state MRI

Pedersen, Jonas Jalili

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Peeken, Jan C.

• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

Pei, Jialun

• Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
• Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

Pei, Yuru

• Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Peigneux, Philippe

• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Pellegrini, Chantal

• ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling

Peng, Bo

• Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Peng, Fang

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Peng, Qiong

• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Peng, Tingying

• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Peng, Wei

• Evaluating the Quality of Brain MRI Generators

Peng, Yu

• DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Peng, Yunsong

• mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Peng, Zelin

• Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation

Peng, Zhihao

• Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
• GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
• fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

Peng, Zizhao

• Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Pennell, Dudley J.

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Perelli, Alessandro

• Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Perez, Dana

• Decoding the visual attention of pathologists to reveal their level of expertise

Perlis, Clifford

• AcneAI: A new acne severity assessment method using digital images and deep learning

Pernod, Erik

• Towards realistic needle insertion training simulator using partitioned model order reduction

Perperidis, Antonios

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Peter, Daniel

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Peters, Terry

• A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking

Petri, Giovanni

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Pérez-Toro, Paula Andrea

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Pfaff, Laura

• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Pfister, Hanspeter

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF
• MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

Pham, Huy Hieu

• Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Pham, Michael

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Phan, Raphaël C.-W.

• BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Phan, Romain

• Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

Phan, Vu Minh Hieu

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Phung, Son Lam

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Pi, Renjie

• HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Piao, Yongri

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Piella, Gemma

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Pieper, Steve

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Pietsch, Maximilian

• HyperSpace: Hypernetworks for spacing-adaptive image segmentation

Pinaya, Walter H. L.

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Planche, Benjamin

• Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Playout, Clément

• A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization

Podobnik, Gašper

• HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Pohl, Kilian M.

• SOM2LM: Self-Organized Multi-Modal Longitudinal Maps
• Evaluating the Quality of Brain MRI Generators

Poles, Isabella

• Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Portaluri, Antonio

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Possart, Dennis

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Poudel, Pranav

• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

Pouly, Marc

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Poynton, Clare B.

• Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Prabhakar, Chinmay

• 3D Vessel Graph Generation Using Denoising Diffusion

Prados, Ferran

• Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Prasanna, Prateek

• Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
• MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars
• HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
• Hard Negative Sample Mining for Whole Slide Image Classification

Preibisch, Christine

• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Prevost, Raphael

• HyperSpace: Hypernetworks for spacing-adaptive image segmentation

Price, Anthony N.

• CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Price, Stephen

• Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Prieto, Claudia

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Prince, Jerry L.

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Psychogyios, Dimitrios

• Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Puglisi, Lemuel

• Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Pujades, Sergi

• On predicting 3D bone locations inside the human body

Punwani, Shonit

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Puonti, Oula

• PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Putz, Florian

• Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding

Pérez, Alejandra

• MuST: Multi-Scale Transformers for Surgical Phase Recognition

Płotka, Szymon

• Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation
• Let Me DeCode You: Decoder Conditioning with Tabular Data

Qazi, Mohammad Areeb

• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Qi, Ronghui

• Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Qi, Ruoxi

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Qi, Xiaoming

• DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Qi, Xiaoran

• IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Qi, Yaolei

• DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Qi, Yuankai

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Qian, Kui

• Towards Explainable Automated Neuroanatomy

Qian, Wei

• Modeling and Understanding Uncertainty in Medical Image Classification

Qian, Wenhua

• Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation

Qian, Wenjun

• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Qian, Xiaohua

• Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

Qian, Zhen

• Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations
• GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Qian, Ziniu

• Region Attention Transformer for Medical Image Restoration
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Qian, Ziyun

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Qiao, Litao

• Towards Explainable Automated Neuroanatomy

Qiao, Mengyun

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Qiao, Qiang

• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Qiao, Sibo

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Qin, Chao

• DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Qin, Jiaxin

• MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

Qin, Jing

• Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis
• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
• Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
• Cross-conditioned Diffusion Model for Medical Image to Image Translation

Qin, Lei

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Qin, Wenhui

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Qin, Wenjian

• Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

Qing, Chunmei

• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Qiu, Anqi

• Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis
• Topological Cycle Graph Attention Network for Brain Functional Connectivity

Qiu, Dandan

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Qiu, Dehui

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

Qiu, Jingna

• Leveraging Image Captions for Selective Whole Slide Image Annotation

Qiu, Peijie

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Qiu, Wu

• Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT
• Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Qiu, Xinmei

• Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Qiu, Yiqiao

• Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

Qiu, Zhaowen

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
• Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Qiu, Zhongwei

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Qu, Junlong

• DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

Qu, Liangqiong

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Qu, Linhao

• Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Qu, Meixia

• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Qu, Ruowen

• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Quan, Guotao

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Quan, Hongyan

• EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

Quan, Quan

• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Quan, Yuyang

• Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

Quellec, Gwenolé

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Radhachandran, Ashwath

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Radke, Richard J.

• Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Raffort, Juliette

• Differentiable Soft Morphological Filters for Medical Image Segmentation

Rahman, Shafin

• Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

Raj, Ankita

• Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Rajani, Ronak

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Rajapakse, Jagath C.

• IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis
• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Rajebi, Reza

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Rajput, Junaid R.

• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Rakotoarisaona, Mendrika Fifaliana

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Ramanathan, Vishwesh

• Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology
• Detecting noisy labels with repeated cross-validations

Ramesh, Jayroop

• Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Ranasinghe, Kanchana

• Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

Rane, Roshan Prakash

• DeepRepViz: Identifying potential confounders in deep learning model predictions

Ranem, Amin

• Unsupervised Training of Neural Cellular Automata on Edge Devices

Rangarajan, Krithika

• MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History
• Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms
• D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms

Ranjan, Ravi

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Ranjbar, Sara

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Rapelanoro Rabenja, Fahafahantsoa

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Raposo, Carolina

• Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Rasheed, Hassan

• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Rathi, Yogesh

• SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment
• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Raviv, Dan

• CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Ravì, Daniele

• TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
• Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Razansky, Daniel

• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Razi, Abolfazl

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Reader, Andrew J.

• Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Regli, Luca

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Rehman, Abdul

• A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Reimer, Jorieke

• Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Reinertsen, Ingerid

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Reinke, Annika

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Reisenbüchler, Daniel

• Unsupervised Latent Stain Adaptation for Computational Pathology
• Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Reithmeir, Anna

• Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Reiß, Simon

• Anatomy-guided Pathology Segmentation

Rekik, Islem

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Ren, Hongliang

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
• EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Ren, Hui

• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Ren, Jianfeng

• SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Ren, Jiaxiang

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
• Self-supervised 3D Skeleton Completion for Vascular Structures

Ren, Qiushi

• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

Ren, Shumin

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Ren, Zehua

• Controllable Counterfactual Generation for Interpretable Medical Image Classification

Ren, Zhihang

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Restrepo, David

• Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Reynaud, Hadrien

• URCDM: Ultra-Resolution Image Synthesis in Histopathology
• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Reza, Amit

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Rezaei, Alireza

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Rhode, Kawal

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Ridzuan, Muhammad

• SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
• HuLP: Human-in-the-Loop for Prognosis

Rieke, Nicola

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Ritter, Kerstin

• DeepRepViz: Identifying potential confounders in deep learning model predictions

Rittscher, Jens

• MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Rivail, Antoine

• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Rivaz, Hassan

• MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation

Robinet, Lucas

• DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data

Robinson, Emma C.

• Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Rodrigo, Ranga

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Rodriguez, Leticia

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Rodríguez, Santiago

• MuST: Multi-Scale Transformers for Surgical Phase Recognition

Roffo, Giorgio

• Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Romaguera, Liset Vazquez

• Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Romeijn, Stephan R.

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Romero, Eduardo

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Roschewitz, Mélanie

• Mitigating attribute amplification in counterfactual image generation

Roth, Holger R.

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Roufosse, Candice

• URCDM: Ultra-Resolution Image Synthesis in Histopathology

Roulet, Margaux

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Roy, Saikat

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Roy, Sudipta

• Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images

Ruan, Jingliang

• Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video

Ruan, Su

• Deform-Mamba Network for MRI Super-Resolution

Rueckert, Daniel

• Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
• Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
• Topologically faithful multi-class segmentation in medical images
• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
• Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans
• Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
• Diffusion Models with Implicit Guidance for Medical Anomaly Detection
• CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains

Ruffini, Filippo

• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Ruiz Wills, Carlos

• Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Ruiz, Daniela

• Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Rushmore, Richard

• uniGradICON: A Foundation Model for Medical Image Registration

Saadi, Nada

• PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

Sabour, Amirhossein

• Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection

Sabuncu, Mert R.

• Longitudinal Mammogram Risk Prediction

Sadafi, Ario

• Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images

Sadowski, Peter

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Saeed, Numan

• SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
• PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
• HuLP: Human-in-the-Loop for Prognosis
• CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

Saeed, Shaheer Ullah

• One registration is worth two segmentations
• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Saha, Pramit

• STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

Saha, Sriparna

• FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Saharkhiz, Niloufar

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Sahiner, Berkman

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Sahli Costabal, Francisco

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Sahoo, Pranab

• FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Sai, Harshitha P.

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Sailer, Irena

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Saini, Rajkumar

• SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Saito, Hideo

• EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

Saks, Elisa

• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Sakuma, Ichiro

• Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Saleem, Afsah

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Saleh, Mahdi

• Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation

Salkowski, Lonie

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Saltz, Joel

• Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
• Decoding the visual attention of pathologists to reveal their level of expertise

Salvagnini, Pietro

• Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Salvatierra, Maria E.

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Samaras, Dimitris

• Decoding the visual attention of pathologists to reveal their level of expertise

Sambyal, Abhishek Singh

• LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

Samokhin, Valentin

• Anatomical Positional Embeddings

San José Estépar, Raúl

• uniGradICON: A Foundation Model for Medical Image Registration
• Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD

Sancar, Ece

• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Sanchez, Thomas

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Sandler, Roman A.

• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Sanjeev, Santosh

• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Sankarapandian, Sivaramakrishnan

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Sanner, Antoine P.

• Voxel Scene Graph for Intracranial Hemorrhage

Sant, Vivek

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Santambrogio, Marco D.

• Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Santra, Sanchayan

• Deep Volume Reconstruction from Multi-focus Microscopic Images

Sapkota, Nishchal

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Sarmiento, Wilsón

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Sarwin, Gary

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Sato, Yoshinobu

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Savitha, Ramasamy

• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Schaadt, Nadine S.

• Unsupervised Latent Stain Adaptation for Computational Pathology
• Continual Domain Incremental Learning for Privacy-aware Digital Pathology

Scheinost, Dustin

• Overcoming Atlas Heterogeneity in Federated Learning for Cross-site Connectome-based Predictive Modeling

Schily, Anton

• Anatomy-guided Pathology Segmentation

Schlaefer, Alexander

• Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

Schlereth, Maja

• Leveraging Image Captions for Selective Whole Slide Image Annotation

Schmidt-Erfurth, Ursula

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Schnabel, Julia A.

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
• Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
• Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
• Diffusion Models with Implicit Guidance for Medical Anomaly Detection
• Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Schnabel, Till N.

• Large-Scale 3D Infant Face Model

Schneider, Moritz

• Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Scholl, Hendrik P. N.

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Schousboe, John T.

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Schulz, Marc-André

• DeepRepViz: Identifying potential confounders in deep learning model predictions

Schunkert, Heribert

• XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Schwab, Evan

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Schwarz, Annette

• Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

Schön, Thomas B.

• Online learning in motion modeling for intra-interventional image sequences

Schönlieb, Carola-Bibiane

• Spatiotemporal Graph Neural Network Modelling Perfusion MRI
• Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

Scott, Andrew D.

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Sdika, Michaël

• Dynamic Single-Pixel Imaging on an Extended Field of View without Warping the Patterns

Sedykh, Ekaterina

• Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Seibold, Constantin

• Anatomy-guided Pathology Segmentation

Seibold, Matthias

• Spatial Context Awareness in Surgery through Sound Source Localization

Seidlitz, Silvia

• Deep intra-operative illumination calibration of hyperspectral cameras

Selej, Mona

• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Sellner, Jan

• Deep intra-operative illumination calibration of hyperspectral cameras

Sengupta, Roni

• Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Seo, Hyewon

• Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Seo, Sang Won

• Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI

Serra, Carlo

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Serrano, Alejandra

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Sha, Qingrui

• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

Shaaban, Mai A.

• HuLP: Human-in-the-Loop for Prognosis

Shahbaz Khan, Fahad

• Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
• DB-SAM: Delving into High Quality Universal Medical Image Segmentation
• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Shakeri, Fereshteh

• Few-shot Adaptation of Medical Vision-Language Models

Shamshad, Fahad

• PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
• BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning

Shan, Caifeng

• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification

Shan, Jiwei

• SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues
• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Shang, CaoZhi

• GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

Shang, Fangxin

• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Shang, Muheng

• Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

Shao, Jing

• Endora: Video Generation Models as Endoscopy Simulators

Shao, Jingjing

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Shao, Lizhi

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Shao, Qian

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Shao, Wei

• PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets
• OSAL-ND: Open-set Active Learning for Nucleus Detection
• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Shao, Xinyuan

• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Shao, Yong

• CS3: Cascade SAM for Sperm Segmentation

Shapiro, Linda G.

• Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Sharaev, Maxim

• MEGFormer: enhancing speech decoding from brain activity through extended semantic representations

Sharma, Puneet

• Goal-conditioned reinforcement learning for ultrasound navigation guidance
• A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features

Sharma, Saurabh

• Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

Sharma, Susheela

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Shen, Chengzhi

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Shen, Chuyun

• Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Shen, Daiyun

• Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Shen, Dinggang

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs
• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images
• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net
• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging
• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network
• HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction
• Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets
• Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction
• Cephalometric Landmark Detection across Ages with Prototypical Network
• A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Shen, Li

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics
• Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification

Shen, Liangbo L.

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Shen, Lingdong

• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Shen, Linlin

• WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration
• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network
• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
• GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
• A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Shen, Liyue

• Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Shen, Na

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning

Shen, Qingni

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Shen, Quanli

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Shen, Ruochong

• DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Shen, Vyacheslav

• Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Shen, Wei

• Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation
• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Shen, Xiongri

• GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Shen, Yiqing

• M4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
• DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration

Shen, Yixuan

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Shen, Zhenrong

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis
• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET
• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Shen, Zhiqiang

• Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation

Shen, Ziyi

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
• One registration is worth two segmentations
• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Sheng, Bin

• 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks

Sheng, Quan Z.

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Sheng, Yi

• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Shepherd, John A.

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Sheuka, Natallia

• Decoding the visual attention of pathologists to reveal their level of expertise

Shey, Muki

• SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Shi, Danli

• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Shi, Dongzi

• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Shi, Enze

• DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Shi, Feng

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images
• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Shi, Guangming

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Shi, Guangze

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Shi, Hairong

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Shi, Hong

• Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Shi, Jing

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Shi, Jun

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images
• SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
• Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Shi, Junjie

• FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

Shi, Kuangyu

• PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

Shi, Pengcheng

• Centerline Boundary Dice Loss for Vascular Segmentation

Shi, Ruohua

• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Shi, Victoria

• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Shi, Xiaojing

• Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Shi, Yi

• CS3: Cascade SAM for Sperm Segmentation

Shi, Yilei

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• Rethinking Cell Counting Methods: Decoupling Counting and Localization
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Shi, Yiyu

• FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis
• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Shi, Yonggang

• Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis
• Adaptive Subtype and Stage Inference for Alzheimer’s Disease

Shi, Yu

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Shi, Zhan

• Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Shi, Zhiyi

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF
• MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality

Shieh, Alexander

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Shim, Yumin

• Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning

Shirokikh, Boris

• Anatomical Positional Embeddings

Shit, Suprosanna

• Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images
• Topologically faithful multi-class segmentation in medical images
• 3D Vessel Graph Generation Using Denoising Diffusion

Shokrollahi, Yasin

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Shou, Jiateng

• Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Shrestha, Prashant

• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

Shrestha, Yash Raj

• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

Shrivastava, Saksham

• LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification

Shu, Qi

• Towards a Deeper insight into Face Detection in Neonatal wards

Shu, Tong

• SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification

Shu, Xujun

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Shuai, Zitao

• Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Shui, Zhongyi

• WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Shum, Hubert P. H.

• Depth-Aware Endoscopic Video Inpainting

Si, Weixin

• Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

Siddig, Emmanuel Edwar

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Siegert, Leonard

• PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

Sikder, Shameema

• S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
• Black-Box Adaptation for Medical Image Segmentation

Silva-Rodriguez, Julio

• Few-shot Adaptation of Medical Vision-Language Models
• Class and Region-Adaptive Constraints for Network Calibration

Sim, Jaeyoon

• OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
• Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

Simistira Liwicki, Foteini

• SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Simmonds, Naomi

• URCDM: Ultra-Resolution Image Synthesis in Histopathology

Simonetti, Orlando

• Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base

Simpson, Amber

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Singh, Azad

• CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning

Singh, Kuldeep

• DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Singh, Richa

• DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Singh, Vivek

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Sinha, Ashish

• TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

Sinusas, Albert J.

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Siomos, Vasilis

• Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Sirazitdinov, Ilyas

• Centerline-Diameters Data Structure for Interactive Segmentation of Tube-shaped Objects

Sitek, Arkadiusz

• TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
• Let Me DeCode You: Decoder Conditioning with Tabular Data

Sivaprasad, Sobha

• Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
• Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Sivaraj, Jayaram

• Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Sivaswamy, Jayanthi

• CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Sivayogaraj, Kaushalya

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Sizikova, Elena

• S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Sjölund, Jens

• Online learning in motion modeling for intra-interventional image sequences

Skorupko, Grzegorz

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Smith, Andrew P.T.

• URCDM: Ultra-Resolution Image Synthesis in Histopathology

Smith, Kevin

• Privacy Protection in MRI Scans Using 3D Masked Autoencoders
• A framework for assessing joint human-AI systems based on uncertainty estimation

Sobirov, Ikboljon

• HuLP: Human-in-the-Loop for Prognosis

Soboleva, Eugenia

• Anatomical Positional Embeddings

Soda, Paolo

• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Soh, Zhi Da

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Sokol, Joseph Z.

• Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Sokolov, Roman

• Anatomical Positional Embeddings

Solal, Maëlys

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Solenthaler, Barbara

• Large-Scale 3D Infant Face Model
• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Solheim, Ole

• Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Solis-Soto, Luisa

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Sommersperger, Michael

• Ocular Stethoscope: Auditory Support for Retinal Membrane Peeling

Son, Moo Hyun

• Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

Son, Young-don

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Song, Bentao

• SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

Song, Dahyun

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Song, In-Seok

• Best of Both Modalities: Fusing CBCT and Intraoral Scan Data into a Single Tooth Image

Song, Jie

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Song, Mingli

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Song, Shiji

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Song, Weitao

• A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

Song, Xinrui

• DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration

Song, Yang

• XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Song, Yonghyun

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Song, Yu

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

Song, Zhenxi

• GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Song, Zhiyun

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Sooknah, Matt

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Sorby-Adams, Annabel

• PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Sotiras, Aristeidis

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Soufi, Mazen

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Souza, Roberto

• Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Sow, Doudou

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Speier, William

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Spieker, Veronika

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations
• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Srivastav, Vinkle

• Jumpstarting Surgical Computer Vision
• HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Staartjes, Victor

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Staib, Lawrence H.

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Stanciulescu, Laura

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Standish, Kristopher

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Starck, Sophie

• Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

Staring, Marius

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Stark, Didem

• DeepRepViz: Identifying potential confounders in deep learning model predictions

Stee, Whitney

• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Stelter, Jonathan K.

• Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Stiefelhagen, Rainer

• Anatomy-guided Pathology Segmentation

Stolte, Skylar E.

• Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Stone, Eric

• Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

Stone, Maureen

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Stoyanov, Danail

• Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm
• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
• HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation
• Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Stucki, Nico

• Topologically faithful multi-class segmentation in medical images

Studier-Fischer, Alexander

• Deep intra-operative illumination calibration of hyperspectral cameras

Sturm, Moritz

• SynCellFactory: Generative Data Augmentation for Cell Tracking

Styner, Martin

• Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Su, Dan

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Su, Huaqiang

• Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation
• Cross-graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation

Su, Jianzhong

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Su, Jionglong

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Su, Junming

• Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation

Su, Kun

• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Su, Mengqing

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Su, Na

• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

Su, Ran

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Su, Tongkun

• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Su, Weifeng

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Sudre, Carole H.

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Suehiro, Daiki

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

Sugano, Nobuhiko

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Sui, Chao

• DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction

Sui, Yao

• Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

Suk, Heung-Il

• BrainWaveNet: Wavelet-based Transformer for Autism Spectrum Disorder Diagnosis

Suk, Julian

• LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes

Sultan, K. M. Arefeen

• HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

Sultani, Waqas

• Few-Shot Domain Adaptive Object Detection for Microscopic Images
• A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability

Sun, Baolin

• Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Sun, Caixia

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Sun, Changming

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Sun, Dongdong

• SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification

Sun, Hao

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

Sun, Haojun

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Sun, Haoran

• Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays

Sun, Huiying

• LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation

Sun, Jinghan

• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Sun, Kaicong

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net
• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging
• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network
• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Sun, Lele

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Sun, Lichao

• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Sun, Longyu

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Sun, Mengting

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Sun, Mengyu

• Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System

Sun, Minghao

• A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Sun, Qiehe

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Sun, Shanhui

• Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Sun, Yihua

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Sun, Yipeng

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Sun, Yiwen

• Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

Sun, Yiyong

• SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Sun, Yiyou

• Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Sun, Yongheng

• Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Sun, Yu

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Sun, Yuchen

• LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Sun, Yuhang

• UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Sun, Zhaobin

• FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

Sun, Zhaoyi

• DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Sun, Zhenguo

• Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Sun, Zhichao

• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
• Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Sung, Joseph J. Y.

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

Sung, Kyunghyun

• Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Surace, Lindsey

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Suri, Ashish

• VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Suter, David

• A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images

Suvon, Mohammod N. I.

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Suzuki, Kenji

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Svendsen, Morten B. S.

• Shortcut Learning in Medical Image Segmentation

Svensson, Lennart

• Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Swaika, Harsh

• Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Swain, Bishal R.

• SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

Swift, Andrew J.

• TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Szczepański, Tomasz

• Let Me DeCode You: Decoder Conditioning with Tabular Data

Sznitman, Raphael

• Online 3D reconstruction and dense tracking in endoscopic videos

Sørensen, Kristine

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

Tadanki, Arihanth

• CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

Tadayoni, Ramin

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Tafti, Ahmad P.

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
• ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Tahghighi, Peyman

• Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Takao, Masaki

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Talbot, Hugues

• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Tam, Roger

• Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

Tan, Bo

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Tan, Guanghua

• Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Tan, Haishu

• Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

Tan, Jing Wei

• Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model

Tan, Junpeng

• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Tan, Qiaozhi

• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Tan, Ru San

• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Tan, Tao

• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Tanedo, Jeffrey

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Tang, An

• Few-shot Adaptation of Medical Vision-Language Models

Tang, Chenhui

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Tang, Feilong

• Polyp-Mamba: Polyp Segmentation with Visual Mamba
• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Tang, Fenghe

• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Tang, Haifeng

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Tang, Haoteng

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Tang, He

• Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Tang, Jiao

• OSAL-ND: Open-set Active Learning for Nucleus Detection

Tang, Jin

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction
• Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Tang, Jinzhou

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Tang, Kaibo

• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Tang, Qingqing

• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Tang, Xiaoying

• Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification
• BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification

Tang, Xin

• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Tang, Xuemei

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Tang, Yilin

• RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Tang, Yucheng

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Tang, Yuxing

• A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

Tang, Zerui

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Tang, Zixin

• HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

Tao, Qian

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields
• Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
• Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

Tao, Rong

• Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

Tao, Tianli

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Tao, Yitian

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Tapp, Austin

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Tardós, Juan D.

• Topological SLAM in colonoscopies leveraging deep features and topological priors

Tariq, Amara

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Tarpau, Cécilia

• UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Tarroni, Giacomo

• Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Tateyama, Tomoko

• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Taylor, Hoyt

• Development of Effective Connectome from Infancy to Adolescence

Taylor, Russell H.

• Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery

Taylor, Zeike A.

• Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Team, Patient Mosaic

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Teichmann, Marvin Tom

• Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Teimouri, Reihaneh

• CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Tejman-Yarden, Shai

• CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Teng, Gao-Jun

• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Teng, Lin

• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Teoh, Yuen-Chun Jeremy

• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Terada, Kazuhiro

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

Terzopoulos, Demetri

• Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Teuwen, Jonas

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Tham, Yih Chung

• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

Thapaliya, Safal

• VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Théberge, Antoine

• TractOracle: towards an anatomically-informed reward function for RL-based tractography

Thibeau-Sutre, Elina

• Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Thibeault, Sylvain

• Conditional 4D Motion Diffusion Models with Masked Observations to Forecast Deformations

Thielemans, Kris

• Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography

Thies, Mareike

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Thirion, Bertrand

• NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature
• Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

Thomas, Sarina

• EchoNarrator: Generating natural text explanations for ejection fraction predictions

Thomaszewski, Bernhard

• AutoSkull: Learning-based Skull Estimation for Automated Pipelines

Thompson, Paul

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Thorley, Natasha

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Thorwarth, Daniela

• Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Thrasher, Jacob

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

Thung, Kim-Han

• Development of Effective Connectome from Infancy to Adolescence

Tian, Baolong

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Tian, Jie

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer
• Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Tian, Lin

• uniGradICON: A Foundation Model for Medical Image Registration

Tian, Qingyao

• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Tian, Xin

• TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

Tian, Xu-Peng

• CS3: Cascade SAM for Sperm Segmentation

Tian, Xuanyu

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Tian, Yun

• Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

Tian, Zhiqiang

• ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Ting, Chee-Ming

• BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Ting, Fung Fung

• BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

Tiulpin, Aleksei

• SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
• A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

Tivnan, Matthew

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
• Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Tizabi, Minu D.

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Tmenova, Oleksandra

• Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation

To, Minh Nguyen Nhat

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

To, Minh-Son

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

To, Tat-Dat

• AcneAI: A new acne severity assessment method using digital images and deep learning

Tolsgaard, Martin G.

• Shortcut Learning in Medical Image Segmentation

Tomar, Nikhil Kumar

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Tomii, Naoki

• Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Tong, Elizabeth

• Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images
• Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging

Tong, Guanjiie

• Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation

Tong, Lyuyang

• LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation

Tong, Raymond Kai-yu

• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
• Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

Torio, Erickson

• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound

Torki, Marwan

• Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset

Toro-Quitian, Leonard

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Torr, Philip

• FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Torres, Juan Camilo

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Tosun, Duygu

• 7T MRI Synthesization from 3T Acquisitions

Tran, Quoc Long

• Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Traoré, Ibrahima

• PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa

Tripathi, Ashutosh

• FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Tripathi, Prasun C.

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Tronchin, Lorenzo

• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Truhn, Daniel

• On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Trzciński, Tomasz

• TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
• Let Me DeCode You: Decoder Conditioning with Tabular Data

Tsaftaris, Sotirios A.

• The MRI Scanner as a Diagnostic: Image-less Active Sampling

Tsang, Michael

• Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Tsang, Teresa

• Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Tse, Pui Ying

• High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Tsirikoglou, Apostolia

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal
• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Tsutsui, Satoshi

• Integrating Clinical Knowledge into Concept Bottleneck Models

Tu, Huijuan

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Tu, Wenxuan

• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Tu, Yuan

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Tu, Zhengzheng

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

Tudorascu, Dana L.

• ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Turgut, Özgün

• Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Tveten, Ingrid

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Tyagi, Mrinal

• VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Tzelepis, Christos

• Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Tölle, Malte

• FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Uchida, Seiichi

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

Uddin, Mostofa R.

• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Udupihille, Jeevani J.

• LiverUSRecon: Automatic 3D Reconstruction and Volumetry of the Liver with a Few Partial Ultrasound Scans

Uemura, Keisuke

• Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
• 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation

Ulloa Cerna, Alvaro

• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Ulrich, Constantin

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Umesha, Arjun

• DeepRepViz: Identifying potential confounders in deep learning model predictions

Unberath, Mathias

• Misjudging the Machine: Gaze May Forecast Human-Machine Team Performance in Surgery
• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Ungi, Tamas

• Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Urooj Khan, Aisha

• Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Utz, Jonas

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• Leveraging Image Captions for Selective Whole Slide Image Annotation
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Valdastri, Pietro

• Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Valdez, Dustin

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Van der Goten, Lennart A.

• Privacy Protection in MRI Scans Using 3D Masked Autoencoders

Vanneste, Félix

• Towards realistic needle insertion training simulator using partitioned model order reduction

Varma, Deepankar

• Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Varoquaux, Gaël

• Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Vasconcelos, Francisco

• Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Vaseli, Hooman

• Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

Vatsa, Mayank

• DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children’s Nutritional Status Assessment

Vedula, S. Swaroop

• S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
• Black-Box Adaptation for Medical Image Segmentation

Vega, Daniela

• Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Vega, Fernando

• Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Velichko, Yury

• Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis

Velikova, Yordanka

• Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
• Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation

Vera, Pierre

• Deform-Mamba Network for MRI Super-Resolution

Verbist, Berit M.

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Vercauteren, Tom

• Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency
• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker
• Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation
• Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Verde, Juan

• Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery
• Cryotrack: Planning and Navigation for Computer Assisted Cryoablation

Verjans, Johan W.

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Verma, Preeti

• Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Vesal, Sulaiman

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Vialard, François-Xavier

• uniGradICON: A Foundation Model for Medical Image Registration

Vidal, René

• Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Vinçon, Nathan

• MultiVarNet - Predicting Tumour Mutational status at the Protein Level

Visentin, Marco

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Visweswaran, Shyam

• Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Vittalam, Alekhya

• ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Vrtovec, Tomaž

• HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Vuong, Trinh Thi Le

• Towards a text-based quantitative and explainable histopathology image analysis
• FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Vysotskaya, Nastassia

• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Wachinger, Christian

• PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Wagner, Fabian

• Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
• Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Wagner, Sophia J.

• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Wald, Tassilo

• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Walia, Madhav

• MedSynth: Leveraging Generative Model for Healthcare Data Sharing

Walsh, Ricky

• Multi-sequence learning for multiple sclerosis lesion segmentation in spinal cord MRI

Walsh, Simon

• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
• Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Wan, Guojia

• Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network

Wan, Kaiwen

• Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Wan, Peng

• OSAL-ND: Open-set Active Learning for Nucleus Detection
• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Wan, Tonghua

• Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

Wan, Xiang

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Wan, Xixi

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

Wang, An

• EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

Wang, Angtian

• From Pixel to Cancer: Cellular Automata in Computed Tomography

Wang, Beizhan

• VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation

Wang, Bin

• Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Wang, Bomin

• Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
• Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Wang, Ce

• 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

Wang, Cen-Cen

• CS3: Cascade SAM for Sperm Segmentation

Wang, Changmiao

• Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Wang, Chao

• A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method

Wang, Cheng

• When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
• MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation
• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

Wang, Chengbo

• SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Wang, Chengdi

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Wang, Chengkai

• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Wang, Chengyan

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Wang, Chenyu

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Wang, Chong

• Cephalometric Landmark Detection across Ages with Prototypical Network

Wang, Chuanyu

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Wang, Churan

• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Wang, Dayang

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Wang, Di

• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Wang, Dingrong

• LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

Wang, Dingyu

• ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

Wang, Diwei

• Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Wang, Dongang

• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Wang, Edward

• Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Wang, Fan

• Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning
• Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis
• Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space
• Controllable Counterfactual Generation for Interpretable Medical Image Classification

Wang, Fanwen

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Wang, Fei

• Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis

Wang, Fusheng

• Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Wang, Ge

• Disease-informed Adaptation of Vision-Language Models
• Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Wang, Guangming

• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Wang, Guoan

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Wang, Guotai

• Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
• IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation
• An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

Wang, Hanchen

• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Wang, Hanchun

• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Wang, Hao

• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Wang, Haoyu

• Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

Wang, Hesheng

• SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues
• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Wang, Hongkai

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Wang, Hongqiu

• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Wang, Hualiang

• Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
• Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
• HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Wang, Huan

• Customized Relationship Graph Neural Network for Brain Disorder Identification

Wang, Hui

• CS3: Cascade SAM for Sperm Segmentation

Wang, Huihui

• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Wang, Huijin

• Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Wang, Jay C.

• CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

Wang, Jiacheng

• PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Wang, Jianbo

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Wang, Jiangliu

• Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Wang, Jianyong

• IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Wang, Jiayun

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Wang, Jie

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Wang, Jiepeng

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Wang, Jing

• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI
• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET
• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Wang, Jinge

• Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Wang, Jingyi

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

Wang, Jinhong

• LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Wang, Jun

• Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Wang, Junjie

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

Wang, Kaidong

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Wang, Kailing

• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Wang, Kuanquan

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Wang, Kun

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Wang, Lei

• MRScore: Evaluating Medical Report with LLM-based Reward System
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Wang, Li

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
• Development of Effective Connectome from Infancy to Adolescence

Wang, Liansheng

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction
• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
• HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction
• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Wang, Lilong

• BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Wang, Lin

• Universal Semi-Supervised Learning for Medical Image Classification

Wang, Linlin

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Wang, Linwei

• LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration

Wang, Mengyu

• FairDiff: Fair Segmentation with Point-Image Diffusion

Wang, Mingkang

• Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

Wang, Mingliang

• OSAL-ND: Open-set Active Learning for Nucleus Detection

Wang, Mingyu

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Wang, Minjiao

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Wang, Ningli

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Wang, Peng

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

Wang, Pengyu

• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
• fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

Wang, Puyang

• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Wang, Qian

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis
• MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction
• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET
• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Wang, Qianqian

• Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Wang, Qifeng

• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Wang, Qingbin

• Prior Activation Map Guided Cervical OCT Image Classification

Wang, Qingfeng

• SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

Wang, Qiong

• Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Wang, Qiu

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Wang, Quan

• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Wang, Rongguang

• MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Wang, Rongpin

• mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Wang, Rui

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Wang, Ruixuan

• SiFT: A Serial Framework with Textual Guidance for Federated Learning
• Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

Wang, Shanshan

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Wang, Shaobin

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Wang, Sheng

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation
• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Wang, Shiyi

• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation

Wang, Shuai

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Wang, Shudong

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Wang, Shujun

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Wang, Shuo

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation
• Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

Wang, Shuxian

• Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Wang, Shuyao

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Wang, Siwen

• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Wang, Tianfu

• DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

Wang, Tianyang

• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Wang, Tong

• Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

Wang, Wei

• TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields
• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
• LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation
• Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment

Wang, Wendy

• Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Wang, Wenkui

• MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
• DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Wang, Wenlu

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Wang, Wenting

• Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Wang, Wenyu

• Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

Wang, Xi

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Wang, Xiangdong

• SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Wang, Xiangfeng

• Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM using Reinforcement Learning

Wang, Xiaocheng

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Wang, Xiaofei

• Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
• Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics

Wang, Xiaomu

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Wang, Xiaosong

• Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
• BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Wang, Xin

• Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• LSSNet: A Method for Colon Polyp Segmentation Based on Local Feature Supplementation and Shallow Feature Supplementation
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Wang, Xingguo

• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Wang, Xinkai

• Adaptive Subtype and Stage Inference for Alzheimer’s Disease

Wang, Xinyi

• SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Wang, Xinyu

• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

Wang, Xudong

• IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

Wang, Xuefeng

• Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Wang, Xuna

• Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

Wang, Ya

• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Wang, Yalin

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Wang, Yan

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
• Real-world Visual Navigation for Cardiac Ultrasound View Planning
• Prompting Whole Slide Image Based Genetic Biomarker Prediction
• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation
• MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction
• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
• LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation
• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Wang, Yanfeng

• Reprogramming Distillation for Medical Foundation Models

Wang, Yaning

• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Wang, Yao

• Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Wang, Yaqi

• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement

Wang, Yi

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Wang, Yi-Xuan

• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI

Wang, Yifeng

• Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
• Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining
• Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Wang, Yihui

• MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology
• HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Wang, Yin

• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Wang, Yipei

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Wang, Yirui

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Wang, Yizhou

• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Wang, Yong

• Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Wang, Yu

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Wang, Yuan

• MedSynth: Leveraging Generative Model for Healthcare Data Sharing

Wang, Yuang

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Wang, Yuanzheng

• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Wang, Yue

• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation

Wang, Yuehao

• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Wang, Yujie

• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation

Wang, Yuli

• Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

Wang, Yulin

• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Wang, Yun-Kai

• CS3: Cascade SAM for Sperm Segmentation

Wang, Yuwan

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Wang, Zhanyu

• MRScore: Evaluating Medical Report with LLM-based Reward System
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Wang, Zhehao

• Revisiting Self-Attention in Medical Transformers via Dependency Sparsification

Wang, Zheng

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Wang, Zhenkun

• Tail-Enhanced Representation Learning for Surgical Triplet Recognition

Wang, Zhepeng

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Wang, Zhicheng

• Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Wang, Zhihua

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Wang, Zhihui

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Wang, Zhiwei

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Wang, Zhong

• A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Wang, Zhongyuan

• Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Wang, Zhuhao

• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Wang, Zimin

• Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning

Wang, Ziyue

• Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Wanna, Selma

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Warburg, Frederik

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Warr, Hermione

• Semi-Supervised Learning for Deep Causal Generative Models

Wassermann, Demian

• NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature

Watawana, Hasindri

• Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

Wei, Bingzheng

• Region Attention Transformer for Medical Image Restoration
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Wei, Dong

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Wei, Hao

• Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Wei, Hongjiang

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Wei, Jinjie

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Wei, Jun

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Wei, Leyi

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Wei, Minghong

• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Wei, Qingsong

• MedSynth: Leveraging Generative Model for Healthcare Data Sharing

Wei, Ruofeng

• Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Wei, Tianyunxi

• BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification

Wei, Weiwei

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction
• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Wei, Xi

• SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Wei, Xinlong

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Wei, Yongyue

• DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Wei, Zhikai

• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

Wei, Ziquan

• Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
• A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Weihsbach, Christian

• IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Weinmueller, Simon

• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Weiss, Kilian

• Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI

Welch, Robert

• A framework for assessing joint human-AI systems based on uncertainty estimation

Wells III, William M.

• Two Projections Suffice for Cerebral Vascular Reconstruction
• Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
• Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Wen, Bihan

• Integrating Clinical Knowledge into Concept Bottleneck Models

Wen, Ke

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Wen, Lu

• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Wen, Xuyun

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI
• TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

Wen, Zheyu

• Biophysics-based data assimilation of longitudinal tau and amyloid-β PET scans

Weng, Nina

• Shortcut Learning in Medical Image Segmentation

Weng, Weihao

• Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

Whitney, David

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Wiestler, Benedikt

• Diffusion Models with Implicit Guidance for Medical Anomaly Detection

Willms, Hannah

• Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Wilm, Frauke

• Leveraging Image Captions for Selective Whole Slide Image Annotation

Wilson, Paul F. R.

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Windsor, Rhydian

• Automated Spinal MRI Labelling from Reports Using a Large Language Model

Wittmann, Bastian

• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Wodlinger, Brian

• ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection

Wolf, Ivo

• FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Wolfe, Jonathan

• AcneAI: A new acne severity assessment method using digital images and deep learning

Wolfgruber, Thomas

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Wolleb, Julia

• Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Wolterink, Jelmer M.

• Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields
• LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
• Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma

Wong, Alex

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Wong, Chin Ting

• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Wong, Grace Lai-Hung

• Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
• Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Wong, Vincent Wai-Sun

• HistoSyn: Histomorphology-Focused Pathology Image Synthesis

Wong, Wai Chon

• Prior Activation Map Guided Cervical OCT Image Classification

Woo, Jonghye

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Woodland, McKell

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Woods, Adam J.

• Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Wouters, Koen

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Wu, Chengyu

• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Wu, Chenwei

• Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Wu, Chia-An

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Wu, Chongwei

• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Wu, Dufan

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
• Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

Wu, Fei

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
• Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Wu, Fuping

• Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Wu, Gaofeng

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Wu, Guorong

• Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling
• Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport
• Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
• OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
• Multi-order Simplex-based Graph Neural Network for Brain Network Analysis
• Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
• A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages

Wu, Han

• Cephalometric Landmark Detection across Ages with Prototypical Network

Wu, Hong

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Wu, Honghan

• Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Wu, Huikai

• PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Wu, Huisi

• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

Wu, Jia

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Wu, Jiamin

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Wu, Jian

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
• PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray
• LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Wu, Jiangjie

• RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Wu, Jiaqi

• Evaluating the Quality of Brain MRI Generators

Wu, Jie Ying

• MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy

Wu, Jinge

• Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Wu, Jinlin

• Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Wu, Kun

• Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Wu, Nan

• Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Wu, Nannan

• FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
• FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

Wu, Nian

• TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

Wu, Qi

• Spot the Difference: Difference Visual Question Answering with Residual Alignment

Wu, Qianyu

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Wu, Qing

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Wu, Ruiqi

• MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Wu, Shaoxuan

• Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Wu, Shengnan

• A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Wu, Shuang

• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation

Wu, Weishan

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Wu, Wenjun

• Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Wu, Wenxuan

• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Wu, Xi

• Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction

Wu, Xia

• TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

Wu, Xian

• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Wu, Xinran

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Wu, Xinyao

• Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

Wu, Xuan

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation

Wu, Yanlin

• FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

Wu, Yawen

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Wu, Ye

• TextPolyp: Point-supervised Polyp Segmentation with Text Cues

Wu, Yicheng

• Universal Semi-Supervised Learning for Medical Image Classification

Wu, Yihang

• FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

Wu, Yilei

• Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Wu, Yinhao

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Wu, Yinzhe

• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Wu, Yixuan

• TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Wu, Yongfei

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Wu, Yu-Jie

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

Wu, Zhengwang

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
• Development of Effective Connectome from Infancy to Adolescence
• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Wu, Zhonghai

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Wu, Zhongqi

• Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Wu, Zhuoru

• Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Wu, Zihao

• CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

Wu, Ziyan

• Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Wuerfl, Tobias

• No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising

Wälchli, Thomas

• Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Wåhlstrand Skärström, Victor

• Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Wölflein, Georg

• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Xi, Yan

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Xia, Fei

• DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Xia, Jing

• IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Xia, Liming

• Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

Xia, Peng

• TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Xia, Tian

• Mitigating attribute amplification in counterfactual image generation

Xia, Wei

• MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
• DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Xia, Wenyao

• A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking

Xia, Yi

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Xia, Yingda

• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Xia, Yingzhi

• Multi-scale Region-aware Implicit Neural Network for Medical Images Matting

Xia, Yong

• Spot the Difference: Difference Visual Question Answering with Residual Alignment
• Reciprocal Collaboration for Semi-supervised Medical Image Classification
• FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation
• Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Xia, Yuexuan

• Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Xia, Zhengwang

• Customized Relationship Graph Neural Network for Brain Disorder Identification

Xiang, Tianqi

• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Xiang, Yangyang

• FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
• Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Xiang, Yilang

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Xiang, ZhiPeng

• GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

Xiao, Anqi

• Data Augmentation with Multi-armed Bandit on Image Deformations Improves Fluorescence Glioma Boundary Recognition

Xiao, Jaclyn

• Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Xiao, Liang

• TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation

Xiao, Michael

• PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Xiao, Qing

• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Xiao, Yiming

• MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
• CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Xiao, Zikai

• PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Xie, Hai

• DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

Xie, Jianyang

• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Xie, Luyuan

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Xie, Qihang

• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Xie, Shiyu

• An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law

Xie, Weixing

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Xie, Xianghua

• Depth-Aware Endoscopic Video Inpainting

Xie, Xiaohui

• On-the-Fly Guidance Training for Medical Image Registration

Xie, Xiaotong

• VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Xie, Xingran

• Prompting Whole Slide Image Based Genetic Biomarker Prediction

Xie, Xinrong

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Xie, Yingpeng

• DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models

Xie, Yutong

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
• Spot the Difference: Difference Visual Question Answering with Residual Alignment
• Reciprocal Collaboration for Semi-supervised Medical Image Classification
• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Xie, Yuxin

• SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Xie, Zhaoheng

• LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation

Xin, Jingmin

• Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Xin, Mei

• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

Xin, Yuelin

• On-the-Fly Guidance Training for Medical Image Registration

Xing, Fangxu

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Xing, Jiarui

• TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

Xing, Xiaodan

• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Xing, Xiaofen

• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Xing, Xiaohan

• Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

Xing, Zhaohu

• SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
• Cross-conditioned Diffusion Model for Medical Image to Image Translation

Xiong, Conghao

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

Xiong, Hao

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Xiong, Honglin

• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Xiong, Juming

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Xiong, Shengwu

• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Xiong, Tong

• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Xiong, Xinyu

• TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM

Xiong, Zhenliang

• mQSM: Multitask Learning-based Quantitative Susceptibility Mapping for Iron Analysis in Brain

Xiong, Zhiwei

• Joint EM Image Denoising and Segmentation with Instance-aware Interaction
• BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
• Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

Xiong, Zicheng

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Xu, Caiwen

• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
• Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Xu, ChenMing

• pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Xu, Chenchu

• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
• Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Xu, Chenfan

• TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Xu, Chenwei

• DnFPlane For Efficient and High-Quality 4D Reconstruction of Deformable Tissues

Xu, Chi

• StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Xu, Dongrong

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Xu, Fangqiang

• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Xu, Fangyi

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Xu, Haoran

• FairDiff: Fair Segmentation with Point-Image Diffusion

Xu, Haozheng

• StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Xu, Hongming

• Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer

Xu, Huahu

• MMQL: Multi-Question Learning for Medical Visual Question Answering

Xu, Huan

• Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Xu, Huihui

• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos

Xu, Jiahao

• LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation

Xu, Jilan

• Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
• Anatomical Structure-Guided Medical Vision-Language Pre-training

Xu, Jingwen

• Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
• Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning
• Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Xu, Jun

• Baikal: Unpaired Denoising of Fluorescence Microscopy Images using Diffusion Models

Xu, Lei

• Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Xu, Lu

• Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Xu, Meilong

• Spatial Diffusion for Cell Layout Generation

Xu, Mengya

• PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Xu, Min

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Xu, Minfeng

• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

Xu, Mingze

• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

Xu, Pengfei

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Xu, Pengzhi

• A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Xu, Qianli

• See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Xu, Ronghao

• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Xu, Rui

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Xu, Tianmin

• Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Xu, Tingfa

• One registration is worth two segmentations

Xu, Tony

• Detecting noisy labels with repeated cross-validations

Xu, Xiangmin

• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Xu, Xiaowei

• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

Xu, Xinxing

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
• Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Xu, Xiuyuan

• Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Xu, Xuanang

• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
• DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration

Xu, Yan

• Region Attention Transformer for Medical Image Restoration
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Xu, Yanwu

• Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation
• Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Xu, Yanyu

• Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Xu, Yingke

• Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

Xu, Yingxue

• HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Xu, Yinsong

• Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Xu, Yongchao

• WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
• Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Xu, Yongshun

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Xu, Yushen

• Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

Xu, Zhe

• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
• Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

Xu, Zhongxing

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Xu, Zhufeng

• MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

Xu, Zibo

• Causal Intervention for Brain tumor Segmentation

Xu, Zikang

• SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Xu, Zongben

• Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

Xuan, Ping

• Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Xue, Haiyan

• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Xue, Jie

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Xue, Pengcheng

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

Xue, Rundong

• Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs

Xue, Shan

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Xue, Wufeng

• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Xue, Zhong

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images
• Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network
• Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

Yadav, Shrikanth M.

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Yakay, Zeynep

• A Patient-Specific Framework for Autonomous Spinal Fixation via a Steerable Drilling Robot

Yakushev, Igor

• PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models

Yan, Bingcong

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

Yan, Bo

• IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Yan, Fang

• PathoTune: Adapting Visual Foundation Model to Pathological Specialists

Yan, Haiyang

• NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning
• Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction

Yan, Ke

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans
• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Yan, Pingkun

• Disease-informed Adaptation of Vision-Language Models
• DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
• DINO-Reg: General Purpose Image Encoder for Training-free Multi-modal Deformable Medical Image Registration
• Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Yan, Ruixin

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
• Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Yan, Ruodan

• Spatiotemporal Graph Neural Network Modelling Perfusion MRI
• Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
• Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Yan, Tianyi

• CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis

Yan, Wen

• One registration is worth two segmentations

Yan, Xiaohan

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Yan, Yige

• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Yan, Yunlu

• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Yan, Zengqiang

• Revisiting Self-Attention in Medical Transformers via Dependency Sparsification
• FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
• FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
• Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Yan, Zhiqiang

• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Yan, Zhonghao

• Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Yan, Zhongnuo

• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Yan, Zipei

• Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Yan, Ziye

• Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Yang, Baoyao

• Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

Yang, Bingyu

• PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization

Yang, Carl

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Yang, Changchun

• Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling

Yang, Chaoxiang

• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Yang, Chen

• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Yang, Dingkang

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Yang, Feng

• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning

Yang, Fuxing

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

Yang, Guang

• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
• Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions
• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
• DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
• Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Yang, Guang-Zhong

• Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Yang, Guanyu

• DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Yang, Haichun

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Yang, Hao

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Yang, Helen Y.

• Multimodal Learning for Embryo Viability Prediction in Clinical IVF

Yang, Huaishui

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Yang, Huihua

• PG-MLIF: Multimodal Low-rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction

Yang, Jian

• Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification

Yang, Jiancheng

• Generating Anatomically Accurate Heart Structures via Neural Implicit Fields
• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Yang, Jiayuan

• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Yang, Jin

• SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Yang, Jinzhu

• Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
• Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement
• 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

Yang, Junhuan

• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Yang, Junwei

• Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction

Yang, Kaiyuan

• 3D Vessel Graph Generation Using Denoising Diffusion

Yang, Lei

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
• Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
• APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy

Yang, Li

• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Yang, Lin

• WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Yang, Mengyu

• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Yang, Ming

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

Yang, Qianye

• Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Yang, Qiushi

• Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing
• From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos

Yang, Quan

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Yang, Ruijie

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Yang, Shengzhu

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Yang, Shifeng

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images

Yang, Shu

• Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
• MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Yang, Shuojue

• Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting

Yang, Sicheng

• Cross-conditioned Diffusion Model for Medical Image to Image Translation

Yang, Su

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Yang, Tingting

• VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network
• TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation

Yang, Tong

• Cephalometric Landmark Detection across Ages with Prototypical Network

Yang, Wenju

• 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

Yang, Wenming

• Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Yang, Xian

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Yang, Xiaokang

• Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation
• EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Yang, Xiaoxiao

• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion

Yang, Xikai

• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Yang, Xin

• Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
• Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
• FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

Yang, Xinquan

• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Yang, Xuan

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images
• Airway segmentation based on topological structure enhancement using multi-task learning

Yang, Xulei

• See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos
• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Yang, Xunyu

• TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Yang, Yan

• Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction
• Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study
• Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

Yang, Yang

• MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Yang, Yanqi

• FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Yang, Yanwu

• Centerline Boundary Dice Loss for Vascular Segmentation
• Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Yang, Yehui

• A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Yang, Yiguang

• Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Yang, Yijun

• SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
• Cross-conditioned Diffusion Model for Medical Image to Image Translation

Yang, Yinkai

• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Yang, Yongxin

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Yang, Yulin

• A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation

Yang, Yumeng

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Yang, Yuqiao

• SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Yang, Yuyao

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Yang, Zefan

• Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Yang, Zekang

• SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Yang, Zhiwen

• Region Attention Transformer for Medical Image Restoration
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Yang, Ziyuan

• Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System

Yao, Bing

• CS3: Cascade SAM for Sperm Segmentation

Yao, Huaxiu

• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Yao, Jiangchao

• Reprogramming Distillation for Medical Foundation Models

Yao, Jieru

• ASPS: Augmented Segment Anything Model for Polyp Segmentation

Yao, Junfeng

• SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Yao, Linlin

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Yao, Qingsong

• SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection
• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Yao, Tianyuan

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Yao, Yinghao

• RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Yao, Yu-Feng

• Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Yao, Zequan

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Yap, Pew-Thian

• SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement
• Development of Effective Connectome from Infancy to Adolescence

Yaqub, Mohammad

• SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
• PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
• HuLP: Human-in-the-Loop for Prognosis
• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
• CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis

Yardibi, Tarik

• EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Yaskiv, Oksana

• Decoding the visual attention of pathologists to reveal their level of expertise

Yasrab, Robail

• Zoom Pattern Signatures for Fetal Ultrasound Structures

Ye, Chuyang

• CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Ye, Hongsheng

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Ye, Jin

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Ye, Kai

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Ye, Shuchang

• Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance

Ye, Tian

• SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
• Cross-conditioned Diffusion Model for Medical Image to Image Translation

Ye, Xianghua

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Ye, Xiangming

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Ye, Xinchen

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Ye, Yufeng

• VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Yeganeh, Yousef

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Yeh, Chun-Hsiao

• Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Yellin, Florence

• Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Yetisgen, Meliha

• DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Yeung, Pak-Hei

• Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Yi, Jingjun

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Yi, Weiting

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Yi, Won-Jin

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Yi, Yang

• All-In-One Medical Image Restoration via Task-Adaptive Routing

Yi, Zhang

• IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography
• Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Yi, Zhenyu

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Yim, Wen-wai

• DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Yin, Chong

• HistoSyn: Histomorphology-Focused Pathology Image Synthesis

Yin, Juanjuan

• A Weakly-supervised Multi-lesion Segmentation Framework Based on Target-level Incomplete Annotations

Yin, Mengmeng

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Yin, Mi

• Prior Activation Map Guided Cervical OCT Image Classification

Yin, Xiaoli

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Yin, Zhaozheng

• Quest for Clone: Test-time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space
• Med-Former: A Transformer based Architecture for Medical Image Classification

Yoo, Ji-Yong

• DCrownFormer: Morphology-aware Point-to-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth

Yoon, Jihun

• Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Yoon, Siyeop

• Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
• Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Yoshizawa, Akihiko

• Learning from Partial Label Proportions for Whole Slide Image Segmentation

You, Chenyu

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

You, Xin

• Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Youn, Daemyung

• LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer

Young, Alistair

• Goal-conditioned reinforcement learning for ultrasound navigation guidance

Young, Geoffrey

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Yu, Boxiao

• PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets

Yu, Dan

• Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images

Yu, Dongdong

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Yu, Fan

• GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Yu, Gang

• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Yu, Han

• A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Yu, Hengyong

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Yu, Jiahao

• I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation

Yu, Jiahui

• Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification

Yu, Jianxun

• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Yu, Jingyi

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Yu, Kai

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

Yu, Lequan

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction
• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Yu, Li

• Revisiting Self-Attention in Medical Transformers via Dependency Sparsification
• FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
• FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
• Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Yu, Qinji

• Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Yu, Qinkai

• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Yu, Rui

• WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Yu, Shiqi

• Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Yu, Sigang

• DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Yu, Stella X.

• SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Yu, Weihao

• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

Yu, Weijiang

• Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Yu, Xiaopeng

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Yu, Xiaotian

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Yu, Xiaowei

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

Yu, Xueqing

• ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology

Yu, Yizhou

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Yu, Yue

• SiFT: A Serial Framework with Textual Guidance for Federated Learning

Yu, Zhen

• Universal Semi-Supervised Learning for Medical Image Classification

Yuan, Kun

• HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
• Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Yuan, Runtian

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Yuan, Sishen

• EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Yuan, Songtao

• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models

Yuan, Wu

• Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Yuan, Xiaohua

• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Yuan, Xinrui

• Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure

Yuan, Yinyin

• Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Yuan, Yixuan

• When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
• Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing
• MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation
• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
• LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
• Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
• GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
• fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning
• From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos
• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
• Endora: Video Generation Models as Endoscopy Simulators
• DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

Yuan, Zhouhang

• Adapting Pre-trained Generative Model to Medical Image for Data Augmentation

Yue, Meng

• Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring

Yue, Xiaodong

• Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Yue, Yagao

• OSAL-ND: Open-set Active Learning for Nucleus Detection

Yuen, Pong C.

• Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
• Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning
• Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt
• HistoSyn: Histomorphology-Focused Pathology Image Synthesis

Yuille, Alan

• From Pixel to Cancer: Cellular Automata in Computed Tomography
• Embracing Massive Medical Data

Yun, Boxiang

• Prompting Whole Slide Image Based Genetic Biomarker Prediction
• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Yun, Mijin

• Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

Yung, Joshua P.

• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Yung, Ka-Wai

• Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm

Yüksel Dal, Demet

• Disentangled Attention Graph Neural Network for Alzheimer’s Disease Diagnosis

Zaharchuk, Greg

• SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Zaiane, Osmar R.

• Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
• Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation
• Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
• A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
• A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement
• 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective

Zaiss, Moritz

• Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions

Zalevskyi, Vladyslav

• Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Zamora González, Carol

• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Zaninovic, Nikica

• Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Zeghlache, Rachid

• LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Zehra, Talat

• Rethinking Histology Slide Digitization Workflows for Low-Resource Settings

Zelinsky, Gregory

• Decoding the visual attention of pathologists to reveal their level of expertise

Zeng, Dewen

• Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

Zeng, Hongye

• Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Zeng, Jiajun

• EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Zeng, Leilei

• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Zeng, Pinxian

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
• MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction
• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Zeng, Qingjie

• Spot the Difference: Difference Visual Question Answering with Residual Alignment
• Reciprocal Collaboration for Semi-supervised Medical Image Classification

Zeng, Rong

• CS3: Cascade SAM for Sperm Segmentation

Zeng, Sen

• Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields

Zeng, Shuang

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
• LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation
• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

Zeng, Tianle

• Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting

Zeng, Tianyi

• Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Zeng, Xiaoyu

• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases

Zeng, Xinyi

• Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia
• ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation

Zeng, Zhilin

• Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation

Zeng, Zhipeng

• MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis

Zepf, Kilian

• Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Zerouaoui, Hasnae

• AMONuSeg: A Histological Dataset for African Multi-Organ Nuclei Semantic Segmentation

Zha, Hongbin

• Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Zhai, Hao

• SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model
• NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning

Zhai, Xiangyu

• Multi-Frequency and Smoke Attention-aware Learning based Diffusion Model for Removing Surgical Smoke

Zhaksylyk, Nuren

• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Zhan, De-Chuan

• CS3: Cascade SAM for Sperm Segmentation

Zhan, Haolan

• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Zhan, Liang

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Zhan, Weide

• Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation

Zhan, Yiqiang

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Zhang, Baochang

• XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography
• Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction

Zhang, Benyan

• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Zhang, Bin

• Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Zhang, Bowen

• Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Zhang, Chencheng

• Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia

Zhang, Chenran

• MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Zhang, Chu

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Zhang, Chujie

• LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation

Zhang, Dan

• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences

Zhang, Daoqiang

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI
• TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI
• OSAL-ND: Open-set Active Learning for Nucleus Detection
• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Zhang, Di

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Zhang, Dian

• TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Zhang, Dingwen

• ASPS: Augmented Segment Anything Model for Polyp Segmentation

Zhang, Dong

• Aligning Medical Images with General Knowledge from Large Language Models

Zhang, Fan

• When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Zhang, Fandong

• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Zhang, Francis Xiatian

• Depth-Aware Endoscopic Video Inpainting

Zhang, Guanglei

• Generating Progressive Images from Pathological Transitions via Diffusion Model

Zhang, Guiyu

• FairDiff: Fair Segmentation with Point-Image Diffusion

Zhang, Guojun

• Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model

Zhang, Guoning

• IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Zhang, Han

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI
• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI
• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Zhang, Hang

• MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters

Zhang, Hanxiao

• Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Zhang, Hao

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Zhang, Haoran

• Curriculum Prompting Foundation Models for Medical Image Segmentation

Zhang, He

• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
• Cycle-consistent Learning for Fetal Cortical Surface Reconstruction

Zhang, Heye

• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

Zhang, Hong

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Zhang, Hongbin

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Zhang, Hongkun

• Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
• Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features

Zhang, Hongrun

• Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
• D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks

Zhang, Huaqi

• fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning

Zhang, Hui

• Region Attention Transformer for Medical Image Restoration
• Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Zhang, Huimao

• Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Zhang, Jiajin

• Disease-informed Adaptation of Vision-Language Models
• Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

Zhang, Jianan

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Zhang, Jianhai

• Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT
• Masked Residual Diffusion Probabilistic Model with Regional Asymmetry Prior for Generating Perfusion Maps from Multi-phase CTA

Zhang, Jianle

• MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Zhang, Jianmin

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Zhang, Jianqiao

• A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis

Zhang, Jiansong

• A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos

Zhang, Jianwei

• Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

Zhang, Jiashu

• Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Zhang, Jicong

• Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Zhang, Jie

• MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation
• Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Zhang, Jin

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity
• Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study

Zhang, Jing

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

Zhang, Jingwei

• Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Zhang, Jingyang

• Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

Zhang, Jinxiang

• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling

Zhang, Jiong

• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Zhang, Juanhua

• Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis

Zhang, Kai

• An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law

Zhang, Ke

• ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation

Zhang, Keli

• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
• Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

Zhang, Lefei

• MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Zhang, Lei

• TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields
• MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation
• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

Zhang, Li

• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Zhang, Lichi

• Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis
• Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets
• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Zhang, Lihua

• Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?

Zhang, Lina

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Zhang, Ling

• Prompting Whole Slide Image Based Genetic Biomarker Prediction
• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans
• A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

Zhang, Lingyan

• Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

Zhang, Lipei

• Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation

Zhang, Liqiang

• GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

Zhang, Liuzeng

• Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis

Zhang, Lizhong

• RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Zhang, Lu

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis

Zhang, Miao

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Zhang, Miaomiao

• TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

Zhang, Min

• RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma

Zhang, Minghui

• Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Zhang, Minqing

• Diversified and Structure-realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation

Zhang, Nan

• SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Zhang, Peter

• Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

Zhang, Qi

• Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

Zhang, Qianni

• SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation

Zhang, Qingfu

• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Zhang, Qingling

• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Zhang, Qixiang

• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Zhang, Ranran

• Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

Zhang, Ruixuan

• SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Zhang, Shaoting

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
• Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
• PathoTune: Adapting Visual Foundation Model to Pathological Specialists
• Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
• BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders

Zhang, Sheng

• Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Zhang, Shengxuming

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Zhang, Shu

• DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Zhang, Shuai

• Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Zhang, Shuaitong

• LOMIA-T: A Transformer-based LOngitudinal Medical Image Analysis framework for predicting treatment response of esophageal cancer

Zhang, Shuhang

• RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Zhang, Shukang

• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Zhang, Si-Miao

• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI

Zhang, Song

• M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer

Zhang, Terry Jianguo

• Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework

Zhang, Tiantian

• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Zhang, Tianyi

• Generating Progressive Images from Pathological Transitions via Diffusion Model

Zhang, Tianyu

• Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
• Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Zhang, Tie-Yi

• CS3: Cascade SAM for Sperm Segmentation

Zhang, Tong

• SiFT: A Serial Framework with Textual Guidance for Federated Learning

Zhang, Tuo

• F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model
• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Zhang, Wei

• When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation
• High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Zhang, Weihang

• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Zhang, Weijing

• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Zhang, Weijun

• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Zhang, Weitong

• Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Zhang, Weiyi

• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Zhang, Weizhuo

• SiFT: A Serial Framework with Textual Guidance for Federated Learning

Zhang, Wenzhuo

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Zhang, Xi

• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Zhang, Xianli

• PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification

Zhang, Xiao

• Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Zhang, Xiaobo

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Zhang, Xiaofan

• PathoTune: Adapting Visual Foundation Model to Pathological Specialists
• IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation
• Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Zhang, Xiaoming

• LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
• Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Zhang, Xiaoran

• Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Zhang, Xiaoshan

• DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion

Zhang, Ximiao

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

Zhang, Xin

• Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
• Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning

Zhang, Xinliang

• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

Zhang, Xinru

• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

Zhang, Xiuming

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Zhang, Xu

• Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases
• MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation

Zhang, Ya

• Reprogramming Distillation for Medical Foundation Models

Zhang, Yajing

• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Zhang, Yanchao

• SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

Zhang, Yanfu

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Zhang, Yanping

• Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement

Zhang, Yatao

• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Zhang, Ye

• Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Zhang, Yejia

• IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Zhang, Yi

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation
• Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
• Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System
• Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

Zhang, Yichi

• Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Zhang, Yikun

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Zhang, Yingying

• Real-world Visual Navigation for Cardiac Ultrasound View Planning

Zhang, Yizhe

• TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
• TextPolyp: Point-supervised Polyp Segmentation with Text Cues
• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation

Zhang, Yongbing

• Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
• H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
• Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining
• Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation

Zhang, Yu

• Evaluating the Quality of Brain MRI Generators
• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation
• Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Zhang, Yuan

• DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification

Zhang, Yuanwang

• A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Zhang, Yudi

• Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Zhang, Yuejie

• Anatomical Structure-Guided Medical Vision-Language Pre-training

Zhang, Yuezhong

• CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment

Zhang, Yuhan

• Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
• Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Zhang, Yuhang

• Curriculum Prompting Foundation Models for Medical Image Segmentation

Zhang, Yulin

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Zhang, Yundi

• Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

Zhang, Yunyan

• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
• Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Zhang, Yupei

• Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Zhang, Yuyao

• Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Zhang, Zerui

• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
• Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

Zhang, Zhaoxi

• Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Zhang, Zheng

• Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning

Zhang, Zhiguo

• GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Zhang, Zichen

• XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Zhang, Zixun

• Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Zhang, Zongjiu

• Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection

Zhao, Baoliang

• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
• Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training

Zhao, Can

• Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Zhao, Dan

• Region Attention Transformer for Medical Image Restoration
• All-In-One Medical Image Restoration via Task-Adaptive Routing

Zhao, Di

• Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Zhao, Fenqiang

• A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation

Zhao, Hao

• FairDiff: Fair Segmentation with Point-Image Diffusion

Zhao, Haoyu

• WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Zhao, He

• STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos
• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Zhao, Hongliang

• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Zhao, Jianbo

• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Zhao, Jianfeng

• Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction

Zhao, Jichao

• Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

Zhao, Junyong

• Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
• Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis

Zhao, Kai

• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage
• Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Zhao, Kaitao

• Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

Zhao, Kun

• Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Zhao, Lin

• Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping

Zhao, Meixin

• LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net

Zhao, Mingyang

• Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Zhao, Mingyue

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity
• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Zhao, Qi

• A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Zhao, Qingyu

• SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Zhao, Shen

• VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Zhao, Shifeng

• Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images

Zhao, Shilin

• HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Zhao, Ting

• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Zhao, Xiangyu

• Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

Zhao, Xue

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Zhao, Yawu

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Zhao, Yi

• MiHATP:A Multi-Hybrid Attention Super-Resolution Network for Pathological Image Based on Transformation Pool Contrastive Learning

Zhao, Yidong

• Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
• Deep-learning-based groupwise registration for motion correction of cardiac T1 mapping

Zhao, Yimin

• Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Zhao, Yiming

• TextPolyp: Point-supervised Polyp Segmentation with Text Cues

Zhao, Yisheng

• Towards a Deeper insight into Face Detection in Neonatal wards

Zhao, Yitian

• Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
• MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
• DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Zhao, Yize

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Zhao, Yizhou

• CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models

Zhao, Yumiao

• MGDR: Multi-Modal Graph Disentangled Representation for Brain Disease Prediction

Zhao, Yunxi

• TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

Zhao, Zhe

• Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
• EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network

Zhao, Zheng

• A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention

Zhao, Zhiyuan

• DPMNet: Dual-Path MLP-based Network for Aneurysm Image Segmentation

Zhao, Zhou

• WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
• Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
• Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
• MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation

Zhao, Zihao

• Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
• Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Zhao, Ziyuan

• See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Zhen, Liangli

• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Zheng, Boyun

• Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining

Zheng, Feng

• Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Zheng, Fudan

• Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Zheng, Guoyan

• Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

Zheng, Hairong

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
• Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI

Zheng, Hao

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
• Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Zheng, Haoxin

• Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Zheng, Jieyu

• Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework

Zheng, Jingyi

• Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Zheng, Meng

• Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Zheng, Nanning

• Class-aware Mutual Mixup with Triple Alignments for Semi-Supervised Cross-domain Segmentation

Zheng, Rui

• RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction
• Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Zheng, Sunyi

• WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Zheng, Wei-Shi

• SiFT: A Serial Framework with Textual Guidance for Federated Learning
• Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

Zheng, Wen

• Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Zheng, Wenhao

• Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Zheng, Xiuqi

• Curriculum Prompting Foundation Models for Medical Image Segmentation

Zheng, Yalin

• Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
• A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement

Zheng, Yefeng

• TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
• MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
• Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
• Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
• FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Zheng, Yingfeng

• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Zheng, Yuanhang

• Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification

Zheng, Yuchao

• Airway segmentation based on topological structure enhancement using multi-task learning

Zheng, Yushan

• SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
• Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Zheng, Zhou

• A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation

Zheng, Zhuozhao

• Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation

Zheng, Zixuan

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• Rethinking Cell Counting Methods: Decoupling Counting and Localization
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Zhong, Changhao

• Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

Zhong, Haodi

• Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Zhong, Jialong

• CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation

Zhong, Liang

• Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from non-contrast Cardiac Magnetic Resonance

Zhong, Tao

• Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling

Zhong, Tianyang

• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Zhong, Wenliang

• PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Zhong, Yuan

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Zhong, Yuming

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Zhong, Zhusi

• Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Zhong, Zipeng

• Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis

Zhou, Han

• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Zhou, Hong-Yu

• Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
• Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
• Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Zhou, Huihui

• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Zhou, Huijian

• ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs

Zhou, Huiyu

• MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

Zhou, Jianhua

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Zhou, Jiliu

• MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
• Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia

Zhou, Juan Helen

• Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Zhou, Jun

• Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Zhou, Kai

• Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Zhou, Kang

• Weakly-supervised Medical Image Segmentation with Gaze Annotations

Zhou, Lei

• HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

Zhou, Li

• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Zhou, Lingyu

• Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Zhou, Luping

• MRScore: Evaluating Medical Report with LLM-based Reward System
• LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Zhou, Menghan

• MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification

Zhou, Mu

• Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Zhou, Peilin

• Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

Zhou, Pinghong

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Zhou, Qian

• Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Zhou, Qifeng

• PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Zhou, Runjie

• Multi-stage Multi-granularity Focus-tuned Learning Paradigm for Medical HSI Segmentation

Zhou, S. Kevin

• SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection
• See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos
• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
• Hierarchical multiple instance learning for COPD grading with relatively specific similarity
• 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

Zhou, Shuo

• Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection

Zhou, Taimin

• SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Zhou, Tao

• TextPolyp: Point-supervised Polyp Segmentation with Text Cues
• SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
• MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
• Customized Relationship Graph Neural Network for Brain Disorder Identification

Zhou, Tian

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons
• A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis

Zhou, Tianfeng

• Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

Zhou, Wenqi

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images

Zhou, Xiang

• Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images
• 3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation

Zhou, Xiaogen

• Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Zhou, Xinrui

• HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Zhou, Xiuxiu

• Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Zhou, Xiuzhuang

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
• Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Zhou, Xujing

• Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Zhou, Yan-Jie

• Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

Zhou, Yang

• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
• Region Attention Transformer for Medical Image Restoration

Zhou, Yi

• TextPolyp: Point-supervised Polyp Segmentation with Text Cues
• SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
• MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Zhou, Ying

• SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Zhou, Yuhang

• Reprogramming Distillation for Medical Foundation Models

Zhou, Yukun

• Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

Zhou, Yuyin

• Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Zhou, Zheng

• Polyp-Mamba: Polyp Segmentation with Visual Mamba

Zhou, Zhi-bo

• Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Zhou, Zijian

• MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction

Zhou, Zirui

• Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Zhou, Ziyu

• ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images

Zhou, Zongwei

• From Pixel to Cancer: Cellular Automata in Computed Tomography
• Embracing Massive Medical Data

Zhu, Chenglu

• WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Zhu, Dajiang

• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
• CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis
• Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

Zhu, Fang-Zheng

• Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction

Zhu, Fangrui

• Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Zhu, Haogang

• Real-world Visual Navigation for Cardiac Ultrasound View Planning
• Mixed Integer Linear Programming for Discrete Sampling Scheme Design in Diffusion MRI

Zhu, Heqin

• SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection
• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Zhu, Hua

• Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation

Zhu, Huaiyu

• Towards a Deeper insight into Face Detection in Neonatal wards

Zhu, Jianjun

• MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation

Zhu, Jie

• Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Zhu, Jihua

• Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning
• Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad

Zhu, Junming

• An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons

Zhu, Lei

• SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
• Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
• Cross-conditioned Diffusion Model for Medical Image to Image Translation
• Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
• A New Perspective to Boost Performance Fairness For Medical Federated Learning

Zhu, Lixuan

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Zhu, Meijiao

• WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

Zhu, Meilu

• Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing

Zhu, Min

• Cephalometric Landmark Detection across Ages with Prototypical Network

Zhu, Ning

• Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Zhu, Ruiyun

• Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency

Zhu, Vince

• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Zhu, Wei

• Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation

Zhu, Wenhui

• SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Zhu, Xi

• When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Zhu, Xiao Xiang

• Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
• Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
• Rethinking Cell Counting Methods: Decoupling Counting and Localization
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
• CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention

Zhu, Xin

• Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

Zhu, Xinyu

• Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal

Zhu, Yan

• EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Zhu, Ye

• Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction
• Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning
• Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

Zhu, Yuanzhuo

• Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space

Zhu, Yuesheng

• FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

Zhu, Yuliang

• SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
• k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Zhu, Zhihong

• Textual Inversion and Self-supervised Refinement for Radiology Report Generation
• Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation

Zhu, Zhuoting

• Universal Semi-Supervised Learning for Medical Image Classification

Zhu, Zihao

• LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Zhuang, Bohan

• SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Zhuang, Xiahai

• Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
• Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
• Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data

Zhuang, Zhenfeng

• ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction

Zhuang, Zixu

• Affinity Learning Based Brain Function Representation for Disease Diagnosis

Zhuo, Jiachen

• Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Zhuo, Yongtai

• DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration

Zimmer, Veronika A.

• Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction
• Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration

Zinsou, Kpêtchéhoué Merveille Santi

• Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Zisserman, Andrew

• Automated Spinal MRI Labelling from Reports Using a Large Language Model
• 3D Spine Shape Estimation from Single 2D DXA

Zoli, Matteo

• Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Zong, Xiaopeng

• Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis

Zormpas-Petridis, Konstantinos

• Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Zou, Beiji

• Deform-Mamba Network for MRI Super-Resolution

Zou, Hua

• Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention

Zou, Ke

• Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
• FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

Zou, Mingye

• Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Zou, Xiaoyang

• Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

Zou, Xuebin

• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Zou, Zhilin

• Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
• Self-supervised 3D Skeleton Completion for Vascular Structures

Zuler, Shahar

• CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights

Zuluaga, Maria A.

• Federated Multi-Centric Image Segmentation with Uneven Label Distribution
• Differentiable Soft Morphological Filters for Medical Image Segmentation

Zuo, Chuantao

• MetaAD: Metabolism-Aware Anomaly Detection for Parkinson’s Disease in 3D 18F-FDG PET

de Backer, Ole

• Spatio-temporal neural distance fields for conditional generative modeling of the heart

the Alzheimer’s Disease Neuroimaging Initiative

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

van Treeck, Marko

• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

van den Hengel, Anton

• AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

Órtiz-Davila, Carlos

• Characterizing the left ventricular ultrasound dynamics in the frequency domain to estimate the cardiac function

Öttl, Mathias

• Leveraging Image Captions for Selective Whole Slide Image Annotation

Özdemir, Berkin

• Deep intra-operative illumination calibration of hyperspectral cameras

Özsoy, Ege

• ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling

Østvik, Andreas

• EchoTracker: Advancing Myocardial Point Tracking in Echocardiography