MICCAI 2025

1,027 papers

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

Jeonghyun Hwang, Seungyeon Rhee, Minjeong Kim, Thanaporn Viriyasaranon, Jang-Hwan Choi

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

Qiuying Wang, Pandeng Zhang, Dewei Chen, Hao Tang, Chang Liu

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms

Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo

MambaMER: Adaptive EEG-Guided Multimodal Emotion Recognition with Mamba

Xiangle Ping, Wenhui Huang, Yuanjie Zheng

MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information

Zhen Pan, Wenhui Huang, Yuanjie Zheng

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

Tapas K. Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha

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

Xinyi Zeng, Pinxian Zeng, Yan Wang, Jiaqi Cui, Luping Zhou

MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment

Siyuan Yan, Xieji Li, Ming Hu, Yiwen Jiang, Zhen Yu

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

Robert Graf, Hendrik Möller, Sophie Starck, Matan Atad, Philipp Braun

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

Salma Hassan, Mostafa Salem, Vijay Ram Kumar Papineni, Ayman Elsayed, Mohammad Yaqub

MadCLIP: Few-shot Medical Anomaly Detection with CLIP

Mahshid Shiri, Cigdem Beyan, Vittorio Murino

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant

Akash Awasthi, Brandon V. Chung, Anh M. Vu, Ngan Le, Rishi Agrawal

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

Yajun Liu, Zenghui Zhang, Jiang Yue, Weiwei Guo, Dongying Li

Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation

Song Zhang, Jiajin Zhang, Liheng Qiu, Wei Liu, Dakai Jin

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

Haoshen Li, Tashan Ai, Yirui Wang, Zhanghexuan Ji, Qinji Yu

LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images

Chenyue Song, Chen Hui, Qing Lin, Wei Zhang, Siqiao Li

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

Jiao Tang, Bo Qian, Peng Wan, Wei Shao, Daoqiang Zhang

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

Dingrui Ma, Jiawei Cao, Hao Cheng, Dan Zhou, Jianping Liu

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

Anna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms, Bulat Ibragimov

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

Mingyang Yu, Yaozong Gao, Yiran Shu, Yanbo Chen, Jingyu Liu

Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation

Sicong Gao, Maurice Pagnucco, Yang Song

Localization Lens for Improving Medical Vision-Language Models

Hasan Farooq, Murtaza Taj, Mehwish Nasim, Arif Mahmood

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

Zheyu Wen, George Biros

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

Maryam Riazi, Deeksha M. Shama, Archana Venkataraman

LKA: Large Kernel Adapter for Enhanced Medical Image Classification

Ziquan Zhu, Si-Yuan Lu, Tianjin Huang, LU LIU, Zhe Liu

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

Mert Asim Karaoglu, Wenbo Ji, Ahmed Abbas, Nassir Navab, Benjamin Busam

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

Davide Evangelista, Elena Morotti, Sonia Colombo Serra, Pengpeng Luo, Giovanni Valbusa

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

Tomáš Chobola, Julia A. Schnabel, Tingying Peng

Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI

Xiuyu Dong, Kaibo Tang, Dan Hu, Zhengwang Wu, Li Wang

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

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

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

Jiazhen Ye, Manman Yuan, Junlin Li, Weiming Jia, Jiacheng Wang

Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction

Zhenghao Feng, Lu Wen, Jiaqi Cui, Xi Wu, Jianghong Xiao

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

Zi Li, Ying Chen, Zeli Chen, Yanzhou Su, Tai Ma

Leveraging Diffusion Models for Continual Test-Time Adaptation in Fundus Image Classification

Mingsi Liu, Xiang Li, Mengxiang Guo, Lixin Duan, Huihui Fang

LesionDiffusion: Towards Text-controlled General Lesion Synthesis

Wenhui Lei, Hengrui Tian, Linrui Dai, Hanyu Chen, Xiaofan Zhang

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

Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien

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

Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung, Heeseong Eom, Joon Jang

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Ricardo Bigolin Lanfredi, Yan Zhuang, Mark Finkelstein, Praveen Thoppey Srinivasan Balamuralikrishna, Luke Krembs

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

Xiaowei Zhao, Chenglong Li, Jin Tang, Chuanfu Li

Learning Segmentation from Radiology Reports

Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin

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

Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati

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

Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Jueqi Wang, Zachary Jacokes, John Darrell Van Horn, Michael C. Schatz, Kevin A. Pelphrey

Learning Disease State from Noisy Ordinal Disease Progression Labels

Gustav Schmidt, Holger Heidrich, Philipp Berens, Sarah Müller

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

Yi Gu, Kuniaki Saito, Jiaxin Ma

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao

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

Xingcan Hu, Wei Wang, Li Xiao

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

Qilin Huang, Tianyu Lin, Zhiguang Chen, Fudan Zheng

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

Greg M. Fleishman, P. Thomas Fletcher

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

Yingyu Yang, Qianye Yang, Kangning Cui, Can Peng, Elena D’Alberti

Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis

Franciskus Xaverius Erick, Johanna Paula Müller, Zhe Li, Bernhard Kainz

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

Zachary Sims, Sandhya Govindarajan, Gordon B. Mills, Ece Eksi, Young Hwan Chang

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

Minghong Duan, Zhiwei Yang, Yingfan Ma, Manning Wang, Zhijian Song

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

Zongbao Yang, Shihuan He, Zhichen Chen, Hao Zhang, Ruxin Wang

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

Duy Khoa Pham, Deval Mehta, Yiwen Jiang, Daniel Thom, Richard Shek-kwan Chang

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

Hengyuan Zhang, Peng Qiao, Wenyu Li, Yan Jia, Yong Dou

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

Songtao Jiang, Yuxi Chen, Sibo Song, Yan Zhang, Yeying Jin

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

Hongsheng Zhang, Yuting Duan, Ting Liu, Weifeng Zhang, Hongzhong Tang

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Laura Oliva-Maza, Florian Steidle, Julian Klodmann, Klaus Strobl, Arkadiusz Miernik

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

Chengyuan Wang, Zhihui He, Li Chen, Shidong Yang, Guiyu Sun

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

Ziman Yin, Dong Nie, Shuo Li, Junjun Pan, Zhenyu Tang

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection

Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila

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

Shuaipeng Ding, Mengnan Fan, Mingyong Li, Chao Wang

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

Tianyu Zhao, Zihang Huang, Xixi Jiang, Liang Zhang, Xiaohuan Ding

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Alvaro Gonzalez-Jimenez, Simone Lionetti, Ludovic Amruthalingam, Philippe Gottfrois, Fabian Gröger

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

Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina, René Vidal

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

Tasneem Nasser, Roberto Souza, Naser El-Sheimy

Intra- and Cross-View Enhancement for OCTA Imaging

Jingbo Zeng, Bingyao Tan, Zaiwang Gu, Shenghua Gao, Leopold Schmetterer

Interpretable fMRI Captioning via Contrastive Learning

Vyacheslav Shen, Kassymzhomart Kunanbayev, Donggon Jang, Daeshik Kim

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

Vivek Dhamale, Vaanathi Sundaresan

Interactive Segmentation and Report Generation for CT Images

Yannian Gu, Wenhui Lei, Hanyu Chen, Shaoting Zhang, Xiaofan Zhang

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

Tianyu Song, Feng Li, Yuan Bi, Angelos Karlas, Amir Yousefi

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

Hyoungshin Choi, Sunghun Kim, Jong-eun Lee, Bo-yong Park, Hyunjin Park

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

Zheran Zhang, Xiaodong Yue, Maoyu Wang, Zhikang Xu, Yufei Chen

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

Shuojue Yang, Zijian Wu, Mingxuan Hong, Qian Li, Daiyun Shen

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

Hyungi Min, Taeseung You, Hangyeul Lee, Yeongjae Cho, Sungzoon Cho

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

Xiaoxiao Cui, Yiran Li, Kai He, Shanzhi Jiang, Mengli Xue

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

Chun Kit Wong, Anders N. Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin G. Tolsgaard

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

Shuailin Xue, Changmiao Wang, Xiaomao Fan, Wenwen Min

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

Yeli Wu, Xiaocai Zhang, Weiwen Wu, Haiteng Jiang, Chao An

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

Gelei Xu, Yuying Duan, Zheyuan Liu, Xueyang Li, Meng Jiang

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction

Kailong Fan, Yubo Ye, Huafeng Liu, Linwei Wang

Improving OCTA Imaging through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data

Bingyu Yang, Bingyao Tan, Zaiwang Gu, Leopold Schmetterer, Huiqi Li

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

Chenxi Yue, Huawen Hu, Qilong Yuan, Enze Shi, Jiaqi Wang

Improving Medical Image Segmentation with Implicit Representation and Noisy Label Robustness

Suruchi Kumari, Harshdeep Singh, Pravendra Singh

Improving Autism Detection with Multimodal Behavioral Analysis

William Saakyan, Matthias Norden, Lola Eversmann, Simon Kirsch, Muyu Lin

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

Miguel Luna, John Baek, Won Hwa Kim, Wan Gyu Son, Kwang Min Lee

Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Sihan Yang, Jiadong Feng, Xuande Mi, Haixia Bi, Hai Zhang

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

Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb

Implicit Deformable Medical Image Registration with Learnable Kernels

Stefano Fogarollo, Gregor Laimer, Reto Bale, Matthias Harders

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

Vittorio Pipoli, Alessia Saporita, Kevin Marchesini, Costantino Grana, Elisa Ficarra

IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation

Sihan Liu, Tonghua Wan, Yuxin Cai, Shengcai Chen, Bo Hu

IFRFNet: Iterative Frequency Restoration-Fusion Network for Fast System Matrix Calibration on Magnetic Particle Image

Weixin Xu, Penghua Zhai, Jie Tian, Wei Mu

ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization

Sebastian Herz, Magdalena Wysocki, Felix Tristram, Julia Hickler, Lydia Neary-Zajiczek

HyperSORT: Self-Organising Robust Training with hyper-networks

Samuel Joutard, Marijn Stollenga, Marc Balle Sanchez, Mohammad Farid Azampour, Raphael Prevost

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

Peixiang Huang, Yanyan Huang, Weiqin Zhao, Junjun He, Lequan Yu

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

Tao Jin, Yidan Xu, Yuhan Gao, Xichun Sheng, Chenggang Yan

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

Junze Wang, Lei Fan, Weipeng Jing, Donglin Di, Yang Song

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

Meimei Yang, Yongheng Sun, Qianqian Wang, Wei Wang, Hong-Jun Li

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

Doron Serebro, Tammy Riklin-Raviv