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MICCAI 2025

1,027 papers

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models

Teqi Hao, Xiaoyu Tan, Bin Li, Xuemin Wang, Chao Qu

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

Kunyu Zhang, Qiang Li, Shujian Yu

Mutual Information Regularization for Fairness-aware Deep Imaging Representations

Amir Reza Sadri, Thomas DeSilvio, Satish E. Viswanath

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

Mingxin Liu, Chengfei Cai, Jun Li, Pengbo Xu, Jinze Li

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

Hao Zhang, Xiaoyun Liu, Shuo Huang, Yonggui Yuan, Daoqiang Zhang

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

Xiaoting Zeng, Li Li, Yu Liang, Weilin Chen, Baiying Lei

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

Mengze Zhang, Yali Li, HuiShu Yuan, Zhen Qian

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

Qi Zhang, Yibo Hu, Jianqi Sun

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

Aocheng Zhong, Haolin Huang, Jing Wang, Zhenrong Shen, Haiyu Song

Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation

Haotian Jiang, Haolin Huang, Jiangdong Cai, Mengjie Xu, Zhenrong Shen

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

Xingyu He, Vince D. Calhoun, Theo G. M. van Erp, Yuhui Du

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

Shuo Huang, Lujia Zhong, Yonggang Shi

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

Zhiwei Song, Jingming Li, Hu Yu, Xiaojuan Guo

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

Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik

Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation

Chengjin Yu, Hao Zhang, Yuanting Yan, Dong Zhang, Sangyin Lv

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

Mariana Mourão, Jacinto C. Nascimento, Carlos Santiago, Margarida Silveira

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

Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni

Multimodal Prompt Sequence Learning for Interactive Segmentation of Vascular Structures

Jongsoo Lim, Soochahn Lee

Multi-Modal Progressive Fusion for ASD Screening Using Smartphone Video

Wenqi Zhong, Bohan Li, Chen Xia, Kuan Li, Dingwen Zhang

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration

Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao

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

Qibin Zhang, Xinyu Hao, Qiao Chen, Rui Xu, Fengyu Cong

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

Haoyang Zhang, Yan Li, Junhong Liu, Lizhen Lan, Zian Wang

Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction

Jielong Yan, Xiangmin Han, Jieyi Zhao, Yue Gao

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

Artur Arturi Aharonyan, Syeda Abeera Amir, Nunthasiri Wittayanakorn, Marius George Linguraru, Chima Oluigbo

Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification

Rui Li, Chunyan Li, Xi Lin, Jinfeng Xu, Fang Li

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

Geng-Xin Xu, Xiang Zuo, Ye Li

Multi-Linear 3D Craniofacial Infant Shape Model

Till N. Schnabel, Yoriko Lill, Benito K. Benitez, Gaspard Krief, Sebastián Tapia Corón

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

Zeyu Xing, Hao Li, Hao Dou, Zhong Zheng, Jingguo Dai

Multifrequency Neural Network-based Wave Inversion in MR Elastography

Héloïse Bustin, Tom Meyer, Jakob Jordan, Lars Walczak, Heiko Tzschätzsch

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

Kun Wang, Junyong Zhao, Liying Zhang, Qi Zhu, Daoqiang Zhang

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis

Weitong ZHANG, Mengyun Qiao, Chengqi Zang, Steven Niederer, Paul M. Matthews

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

Yi Qin, Dinusara Sasindu Gamage Nanayakkara, Xiaomeng Li

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

Zhu Zhu, Wenjing Yu, Xiaohui Ma, Shuai Liu, Jie Dong

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

Rusi Chen, Yuanting Yang, Jiezhi Yao, Hongning Song, Ji Zhang

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

Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment

Siqiao Li, Chen Hui, Wei Zhang, Rui Liang, Chenyue Song

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

Zhihao Su, Jihao Zhai, Junzhong Ji, Jinduo Liu

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

Xin Long, Xinrui Liu, Fan Gan

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

Yuelin Zhang, Qingpeng Ding, Long Lei, Yongxuan Feng, Raymond Shing-Yan Tang

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

Jiazhen Wang, Heran Yang, Yizhe Yang, Jian Sun

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

Zhe Liu, Yuhao Huang, Lian Liu, Chengrui Zhang, Haotian Lin

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

Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Kumar Papineni, Mohammad Yaqub

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

Yang Liu, Peiran Wu, Jiayu Huo, Gongyu Zhang, Zhen Yuan

MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport

Liting Yu, Tao Ma, Weiqin Zhao, Zhuo Liang, Lequan Yu

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

Hwihun Jeong, Se Young Chun, Jongho Lee

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

Jialu Pi, Juan Maria Farina, Rimita Lahiri, Jiwoong Jeong, Archana Gurudu

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

Hongshuo Li, Ankai Dong, Tiande Zhang, Shijia Zhou, Yalin Zheng

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

Yingtai Li, Haoran Lai, Xiaoqian Zhou, Shuai Ming, Wenxin Ma

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration

Kyobin Choo, Hyunkyung Han, Jinyeong Kim, Chanyong Yoon, Seong Jae Hwang

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

Pushpak Pati, Hsiu-Chi Cheng, Steffen Jaensch, Walid M. Abdelmoula, Krishna Chaitanya

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

Ruocheng Li, Lei Wu, Jingjun Gu, Qi Xu, Wanyi Chen

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

Jung Su Ahn, Ki Hoon Kwak, Jung Woo Seo, Young-Rae Cho

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

Tianqi Xiang, Yi Li, Qixiang Zhang, Xiaomeng Li

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

Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim

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

Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken

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

Dequan Meng, Jie Guo, Junze Wang, Xiaoming Xi, Lishan Qiao

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows

Reza Safdari, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam, Kyongtae Tyler Bae

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

Danush Kumar Venkatesh, Isabel Funke, Micha Pfeiffer, Fiona Kolbinger, Hanna Maria Schmeiser

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

Boyu Chen, Ameenat Solebo, Daqian Shi, Jinge Wu, Paul Taylor

MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework

Sungyoon Jung, Donghyun Lee, Won Hwa Kim

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions

Jan Nikolas Morshuis, Christian Schlarmann, Thomas Küstner, Christian F. Baumgartner, Matthias Hein

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

Jongwoo Kim, Bryan Wong, Huazhu Fu, Willmer Rafell Quiñones Robles, Young Sin Ko

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

Junjian Li, Jin Liu, Hulin Kuang, Hailin Yue, Mengshen He

MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image

Zixuan Tang, Bai Sun, Shidan He, Yuan Hong, Dongdong Yu

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

Shuaipeng Ding, Mingyong Li, Chao Wang

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

Haoyang Liu, Yuwen Zeng, Xiaoyong Zhang, Wentong Zhou, Arata Nagai

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

Haoshen Li, Yirui Wang, Qinji Yu, Jie Zhu, Ke Yan

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

Haoran Yang, Jiansong Fan, Lihua Li, Xiang Pan

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

Maryam Toloubidokhti, Ryan Missel, Shichang Lian, Linwei Wang

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

Jing Xia, Yi Hao Chan, Jagath C. Rajapakse

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

Mengyun Qiao, Jin Zheng, Weitong ZHANG, Qiang Ma, Liu Li

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Ming Yin, Fu Wang, Xujiong Ye, Yanda Meng, Zeyu Fu

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning

Mingcheng Qu, Guang Yang, Donglin Di, Yue Gao, Tonghua Su

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

Jiaqing Zhang, Miguel Contreras, Jessica Sena, Andrea Davidson, Yuanfang Ren

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

Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu

MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis

Shidan He, Enyuan Hu, Zixuan Tang, Bin Chen, Dongdong Yu

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

Rongfang Wang, Jiasheng Chen, Xinlong Zhang, Jing Wang, Hui LIU

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

Lotfi Abdelkrim Mecharbat, Ibrahim Almakky, Martin Takac, Mohammad Yaqub

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Yitao Zhu, Yuan Yin, Jiaming Li, Mengjie Xu, Zihao Zhao

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

Siyi Xun, Yue Sun, Jingkun Chen, Zitong Yu, Tong Tong

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

Chenyang Su, Yishun Wang, Boqiang Xu, Rong Feng, Lei Du

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

Huanwen Liang, Jingxian Xu, Yuanji Zhang, Yuhao Huang, Yuhan Zhang

Medical Large Vision Language Models with Multi-Image Visual Ability

Xikai Yang, Juzheng Miao, Yuchen Yuan, Jiaze Wang, Qi Dou

Medical Contrastive Learning of Positive and Negative Mentions

WeiLong Wu, Jingzhi Yang, Xun Zhu, Xiao Zhang, Ziyu Liu

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

David Jacob Drexlin, Jonas Dippel, Julius Hense, Niklas Prenißl, Grégoire Montavon

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

Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li

MedGNN: General Medical Image Recognition Network via GNN Visual Representations

Jiayu Ye, An Zeng, Dan Pan, Junhao Chen, Guanwei Cheng

MedGCD: Generalized Category Discovery in Medical Imaging

Ankit Das, Chandan Gautam, Pritee Agrawal, Feng Yang, Yong Liu

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Jianhao Xie, Ziang Zhang, Zhenyu Weng, Yuesheng Zhu, Guibo Luo

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

Huanjia Zhu, Yishu Liu, Chengju Zhou, Guangming Lu, Bingzhi Chen

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

Mohammad Almansoori, Komal Kumar, Hisham Cholakkal

MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Lingtong Zhang, Mengdie Song, Xiaohan Hao, Huayu Mai, Bensheng Qiu

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising

Xiaolong Niu, Zanting Ye, Xu Han, Yanchao Huang, Hao Sun

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

Qilong Xing, Zikai Song, Youjia Zhang, Na Feng, Junqing Yu

Maverick: Collaboration-free Federated Unlearning for Medical Privacy

Win Kent Ong, Chee Seng Chan

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

Yazhou Zhu, Haofeng Zhang

MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions

Xinyu Ma, Jinhui Ma, Shiqi He, Xin Che, Hon Yiu So

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

Runqi Meng, Sifan Song, Pengfei Jin, Lin Teng, Yulin Wang

Masked Contrastive Language-Image Modeling For Brain Segmentation

Jianwen Liang, Junyan Lyu, Yixuan Yuan, Xiaoying Tang

Mask2Surface: Motion Correction and Super-Resolution for Cardiac Surface Reconstruction Using Latent Diffusion

Zichen Zhang, Zhentao Liu, Zeng Zhang, Zhiming Cui