MICCAI 2025

1,027 papers

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

Yaru Qiu, Xinru Wang, Jianfang Zhang, Bo Liu, Peng Bai

Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation

Dunyuan Xu, Yuchen Yuan, Donghao Zhou, Xikai Yang, Jingyang Zhang

Separable tissue representations for attributable risk prediction

Victor Wåhlstrand, Jennifer Alvén, Lisa Johansson, Kristian Axelsson, Mattias Lorentzon

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

Yiping Li, Ronald de Jong, Sahar Nasirihaghighi, Tim Jaspers, Romy van Jaarsveld

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

Dongdong Meng, Sheng Li, Hao Wu, Guoping Wang, Xueqing Yan

Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT

Ji Yong Han, Su Yang, Sujeong Kim, Sunjung Kim, Sang-Heon Lim

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

Baochang Zhang, Chen Jia, Shuting Liu, Heribert Schunkert, Nassir Navab

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling

Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern Menze

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance

Xuesong Li, Dianye Huang, Yameng Zhang, Nassir Navab, Zhongliang Jiang

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

Chanyeong Heo, Jaehee Jung

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

Pramit Saha, Divyanshu Mishra, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou

Self-Supervised Multiview Xray Matching

Mohamad Dabboussi, Malo Huard, Yann Gousseau, Pietro Gori

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

Yipeng Zhang, Yuanyi Ding, Chenda Duan, Atsuro Daida, Hiroki Nariai

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

Bohao Chen, Yanchao Zhang, Yanan Lv, Hua Han, Xi Chen

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

Seonghyeon Ko, Huigyu Yang, Junghyun Bum, Duc-Tai Le, Hyunseung Choo

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein

Xiaotong Guo, Deqian Yang, Dan Wang, Ying Zhu, Haochen Zhao

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Zanting Ye, Xiaolong Niu, Xu Han, Xuanbin Wu, Wantong Lu

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis

Nurjahan Sultana, Wenqi Lu, Xinqi Fan, Moi Hoon Yap

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

Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt

Jiahui Yu, Tianyu Ma, Shenjian Gu, Yuping Guo, Feng Chen

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

Wenquan Cheng, Yihua Sun, Jinyuan Wang, Jia Guo, Zihan Li

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation

Youngmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu, Junhyug Noh

SAMUSA: Segment Anything Model 2 for UltraSound Annotation

Baptiste Podvin, Toby Collins, Güinther Saibro, Chiara Innocenzi, Yuchuan Yang

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

Alfie Roddan, Tobias Czempiel, Chi Xu, Daniel S. Elson, Stamatia Giannarou

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou

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

Peirong Xu, Luoqian Zhu, Jingkun Chen, Xin Qian, Yue Sun

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

Yujie Wang, Juntao Huang, Dazhu Liang, Fangzhou Liao, Jie Chen

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima

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

Yifan Gao, Jiaxi Sheng, Wenbin Wu, Haoyue Li, Yaoxian Dong

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

Shaobin Chen, Xinyu Zhao, Huazhu Fu, Tao Tan, Jiaju Huang

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

Shawn Mathew, Saad Nadeem, Arie Kaufman

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

Yusong Sun, Dongdong Chen, Mengjun Liu, Zhenrong Shen, Zhiyun Song

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng

Robust Topographical Representation for Longitudinal Propagation of Tau Pathology

Jiaxin Yue, Jianwei Zhang, Xinkai Wang, Yonggang Shi

Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models

Xihe Qiu, Chen Zhan, Gengchen Ma, Jingjing Huang, Xiaoyu Tan

Robust sensitivity control in digital pathology via tile score distribution matching

Arthur Pignet, John Klein, Geneviève Robin, Antoine Olivier

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu

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

Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang

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

Sebastian Diaz, Benjamin Billot, Neel Dey, Molin Zhang, Esra Abaci Turk

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

Aida Moafi, Danial Moafi, Evgeny M. Mirkes, Gerry P. McCann, Abbas S. Alatrany

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

Parham Saremi, Amar Kumar, Mohamed Mohamed, Zahra TehraniNasab, Tal Arbel

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

David Butler, Adrian Hilton, Gustavo Carneiro

RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis

Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Eojin Jang, Myeongkyun Kang, Soopil Kim, Min Sagong, Sang Hyun Park

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Boqi Chen, Cédric Vincent-Cuaz, Lydia A. Schoenpflug, Manuel Madeira, Lisa Fournier

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

Karol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions

Youngjoon Lee, Jinu Gong, Sun Choi, Joonhyuk Kang

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation

Yidong Zhao, Peter Kellman, hui xue, Tongyun Yang, Yi Zhang

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

Jiushen Cai, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu

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

Sicheng Li, Mai Dan, Yuhui Chu, Jiahui Yu, Yunpeng Zhao

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

Guoli Wang, Benzheng Wei, Shuo Li

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

Ronald Fecso, José Morano, Ursula Schmidt-Erfurth, Hrvoje Bogunović

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

Haofeng Liu, Mingqi Gao, Xuxiao Luo, Ziyue Wang, Guanyi Qin

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

Shengchao Chen, Ting Shu

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

Chengchuan Wu, Catherine Davey, Gagan Sharma, Felix Ng

ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval

Yuxian Tang, Feng Li, Feng Shi, Qian Wang

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

Lin Li, Dong Tang, Xiaowen Chu, Xiaofei Yang, Fei Yu

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

Wenwen Si, Vivian Lin, Bo Sun, Kuk Jin Jang, Rubo Xing

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation

Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed

RegScore: Scoring Systems for Regression Tasks

Michal K. Grzeszczyk, Tomasz Szczepański, Pawel Renc, Siyeop Yoon, Jerome Charton

Regression-assisted Classification for CT-based Portal Hypertension Diagnosis

Wuque Cai, Jiayi He, Xu Guo, Hongze Sun, Huan Tong

Shiqi Huang, Tingfa Xu, Wen Yan, Dean Barratt, Yipeng Hu

Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation

Kunyan Cai, Chenggang Yan, Min He, Liangqiong Qu, Shuai Wang

Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport

Farzad Beizaee, Sina Hajimiri, Ismail Ben Ayed, Gregory Lodygensky, Christian Desrosiers

Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching

Manman Fei, Zhenrong Shen, Mengjun Liu, Zhiyun Song, Yusong Sun

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

Anghong Du, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima

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

Ningyi Zhang, Yuan Gao, Xin Wang, Ka-Hou Chan, Jian Wu

Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

Ali Mammadov, Loic Le Folgoc, Guillaume Hocquet, Pietro Gori

RedDino: A foundation model for red blood cell analysis

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr

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

Miao Xu, Xiangyu Zhu, Jinlin Wu, Ming Feng, Zelin Zang

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba A. Salahuddin

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

Litingyu Wang, Ping Ye, Wenjun Liao, Shichuan Zhang, Shaoting Zhang

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

Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger

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

Murali Krishnamoorthy, Haoyin Zhou, Katherine Frazee, Rahul Pal, Jayender Jagadeesan

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

Niklas C. Koser, Marten J. Finck, Felix N. von Brackel, Benjamin Ondruschka, Sören Pirk

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

Yibo Hu, Ziqi Zhao, Qi Zhang, Lisa X. Xu, Jianqi Sun

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

Sofiat Abioye, Shazad Ashraf, Junaid Qadir, Adam Byfield, Anusha Jose

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

G. Jignesh Chowdary, Tiezhi Zhang, Xin Qian, Zhaozheng Yin

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

Julien Khlaut, Elodie Ferreres, Daniel Tordjman, Helene Philippe, Tom Boeken

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

Rongchang Zhao, Zhangyue Wu, Jian Zhang, Zijian Zhang, Shuo Li

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

Tengfei Zhang, Ziheng Zhao, Chaoyi Wu, Xiao Zhou, Ya Zhang

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

Inye Na, Nejung Rue, Jiwon Chung, Hyunjin Park

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

Xiaoyu Bai, Yong Xia

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

Ao Shen, Xueming Fu, Junfeng Jiang, Qiang Zeng, Ye Tang

Radar-Based Imaging for Sign Language Recognition in Medical Communication

Raffaele Mineo, Gaia Caligiore, Federica Proietto Salanitri, Isaak Kavasidis, Senya Polikovsky

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Difei Gu, Yunhe Gao, Yang Zhou, Mu Zhou, Dimitris Metaxas

R2B-WFC Ultrasound Reconstruction: Wavelet Fourier Convolution-based Reconstruction from Radio Frequency to Image

Hyunsu Jeong, Chiho Yoon, Minsik Sung, Kiduk Kim, Dougho Park

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

Qin Hao, Long Yu, Shengwei Tian, Xujiong Ye, Lei Zhang

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

Yan Kong, Zhixiang Peng, Yuan Yin, Yonghao Li, Jiangdong Cai

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

Pengli Zhu, Yingji Fu, Nanguang Chen, Anqi Qiu

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

Ekaterina Antipushina, Nikita Davydov, Riccardo De Feo, Evgeny Prilepin, Artem Nikonorov

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

Beidi Zhao, SangMook Kim, Hao Chen, Chen Zhou, Zu-hua Gao

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Tristan Kirscher, Sylvain Faisan, Xavier Coubez, Loris Barrier, Philippe Meyer

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

Fengchun Liu, Linghan Cai, Zhikang Wang, Zhiyuan Fan, Jin-Gang Yu

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

Samuel Ofosu Mensah, Kerol Djoumessi, Philipp Berens

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

Susu Sun, Dominique van Midden, Geert Litjens, Christian F. Baumgartner

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

Tarek Elghareb, Mohamed Harmanani, Minh Nguyen Nhat To, Paul Wilson, Amoon Jamzad

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

Housheng Xie, Xiaoru Gao, Guoyan Zheng

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

Jiabao Chen, Shan Xiong, Jialin Peng