MICCAI 2025

1,027 papers

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

Zetian Feng, Juan Fu, Xuebin Zou, Hongsheng Ye, Hong Wu

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation

Weitong Wu, Zhaohu Xing, Jing Gong, Qin Peng, LEI ZHU

Hybrid State-Space Models and Denoising Training for Unpaired Medical Image Synthesis

Junming Zhang, Shancheng Jiang

Hybrid Local-Window-Attention–Assisted U-Net Model for Multimodal Medical-Image Segmentation

Jiwon Kim, Seyong Jin, Yeonwoo Noh, Hyeonjoon Moon, Minwoo Lee

Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation

Yueyue Zhu, Haolin Lv, Geng Chen, Zhonghao Zhang, Haotian Jiang

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

Jiaming Liang, Lihuan Dai, Xiaoqi Sheng, Xiangguang Chen, Chun Yao

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

Xincheng Yao, Yijun Yang, Kangwei Guo, Ruiqiang Xiao, Haipeng Zhou

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

Ankit Amrutkar, Ahmet Nazlioglu, Björn Kampa, Volkmar Schulz, Johannes Stegmaier

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

Qiang Hu, Qimei Wang, Jia Chen, Xuantao Ji, Mei Liu

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

Ling Zhang, Boxiang Yun, Qingli Li, Yan Wang

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Jiaqi Cui, Lu Wen, Yuchen Fei, Bo Liu, Luping Zhou

High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning

Tianyu Gao, Kunye Liu, Weikai Ma, Yang Gao, Xiaolin Ning

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

Jincheng Li, Danyang Dong, Menglin Zheng, Jingbo Zhang, Yueqin Hang

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation

Le Dong, Jinghao Bian, Jingyang Hou, Jingliang Hu, Yilei Shi

High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion

Youjian Zhang, Jian Huang, Jie Wang, Zezhou Li, Zhongya Wang

HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation

Diego Biagini, Nassir Navab, Azade Farshad

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

Runhe Lai, Xinhua Lu, Kanghao Chen, Qichao Chen, Wei-Shi Zheng

Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos

Dongfang Wang, Jian Yang, Yizhe Zhang, Tao Zhou

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Hashmat Shadab Malik, Shahina Kunhimon, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan

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

Siqi Chen, Guoqing Zhang, Jiahao Lai, Bingzhi Shen, Sihong Zhang

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

Guoqing Zhang, Jingyun Yang, Yang Li

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Zhiyuan Zhu, Jian Wang, Yong Jiang, Tong Han, Yuhao Huang

Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization

Yanwu Yang, Thomas Wolfers

Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-weighted MRI

Yuxing Li, Chuyang Ye

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

Jiakun Xu, Xin Zhang, Tong Xiong, Shengxian Chen, Xiaofen Xing

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

Jingsong Liu, Han Li, chen yang, Michael Deutges, Ario Sadafi

HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images

Zihao Peng, Susu Kang, Xuping Huang, Xucheng Xiang, Gengyu He

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation

Yulong Liu, Wenqing Ye, Hui LIU, Ziyi Chen, Peilin Li

Harnessing Side Information for Highly Accelerated MRI

Arda Atalık, Sumit Chopra, Daniel K. Sodickson

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

Harim Kim, Yuhan Wang, Minkyu Ahn, Heeyoul Choi, Yuyin Zhou

HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-Modal, Multi-Temporal, and Multi-Sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma

Jianye Wang, Xinyue Liu, Zhiying Gong, Lingjie Yang, Hanwen Zhang

Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification

Tao Chen, Jie Gao, Yong Xu, Weihong Qiu, Yijie Wu

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

Bidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, Ramesh Rana, Nikesh Shrestha

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

Mayank Golhar, Luojie Huang, Nicholas J. Durr

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang

Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models

Nurislam Tursynbek, Hastings Greer, Başar Demir, Marc Niethammer

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Haozhong Sun, Zhongsen Li, Chenlin Du, Haokun Li, Yajie Wang

Guided Augmentation for Monocular Depth Estimation in Cell Microscopy

Abhishek Viswanathan, A. N. Rajagopalan, Nikhil Yelamarthy, Ankit Rai, Pradeep Ramachandran

GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation

Zixuan Liu, Aaron Honjaya, Yuekai Xu, Yi Zhang, Hefu Pan

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

Basudha Pal, Sharif Amit Kamran, Brendon Lutnick, Molly Lucas, Chaitanya Parmar

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

Qingya Li, Ye Yuan, LU LIU, Nan Bao, Lisheng Xu

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

Shaoxuan Wu, Jingkun Chen, Zhuo Jin, Peilin Zhang, Zhizezhang Gao

Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading

Masum Shah Junayed, John Derek Van Vessem, Qian Wan, Gahie Nam, Sheida Nabavi

Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability

Shengjie Zhang, Zhuangzhuang Jiang, Xin Shen, Ziqi Yu, Xiang Chen

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

Zhiyuan Wang, Daisong Gan, Wenzhuo Fang, Yuliang Zhu, Kun Liu

GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration

Hongbo Zhang, Xinyu Nie, Jiaxin Yue, Yuan Li, John Ringman

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

Pengyu Dai, Yafei Ou, Yuqiao Yang, Ze Jin, Kenji Suzuki

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection

Jie Yan, Xiaoyuan Guan, Wei-Shi Zheng, Hao Chen, Ruixuan Wang

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG

Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt-Ansó, Daniel Rueckert

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

Jiahui Chen, Fei Qi, Chengyuan Chang, Qinjie Hu, Kaiwen Fu

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

Yifei Sun, Zhanghao Chen, Hao Zheng, Yuqing Lu, Lixin Duan

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

Feixiang Zhou, Zhuangzhi Gao, He Zhao, Jianyang Xie, Yanda Meng

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

Tomasz Szczepański, Szymon Płotka, Michal K. Grzeszczyk, Arleta Adamowicz, Piotr Fudalej

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

Yuexi Du, Lihui Chen, Nicha C. Dvornek

Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Anbang Wang, Marawan Elbatel, Keyuan Liu, Lizhuo Lin, Meng Lan

Generative Unsupervised Anomaly Detection with Coarse-Fine Ensemble for Workload Reduction in 3D Non-contrast Brain CT of Emergency Room

Jongjun Won, Jihwan Kim, Joonseo Oh, Yereen Yoo, Jieun Yum

Generating Novel Brain Morphology by Deforming Learned Templates

Alan Q. Wang, Fangrui Huang, Bailey Trang, Wei Peng, Mohammad Abbasi

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

Jakob Ambsdorf, Asbjørn Munk, Sebastian Llambias, Anders N. Christensen, Kamil Mikolaj

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology

Xiao Li, Han Zhang, Qitai Sun, Chenjie Jia, Xiaowei He

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

Hongmin Cai, Boan Ji, Shangyan Cai, Yi Liao, Jiazhou Chen

Gaussian Primitive Optimized Deformable Retinal Image Registration

Xin Tian, Jiazheng Wang, Yuxi Zhang, Xiang Chen, Renjiu Hu

GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion

Shumeng Li, Jian Zhang, Lei Qi, Yinghuan Shi

FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy

Zhaoyi Ye, Shubin Wei, Liye Mei, Yueyun Weng, Qing Geng

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Edward Zhang, Eric Eaton

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

Fangyijie Wang, Yuan Liang, Sourav Bhattacharjee, Abey Campbell, Kathleen M. Curran

Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations

Ruofan Wang, Jintao Guo, Jian Zhang, Lei Qi, Yinghuan Shi

FunBench: Benchmarking Fundus Reading Skills of MLLMs

Qijie Wei, Kaiheng Qian, Xirong Li

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

Kecheng Wu, Zhaohu Xing, Zerong Cai, Feng Gao, Wenxue Li

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

Jinseo An, Min Jin Lee, Kyu Won Shim, Helen Hong

From Slices to Volumes: Multi-Scale Fusion of 2D and 3D Features for CT Scan Report Generation

Abdullah Hosseini, Ahmed Ibrahim, Ahmed Serag

From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training

Jumanh Atoum, Fangjie Li, Ayberk Acar, Nicholas L. Kavoussi, Jie Ying Wu

From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation

Arooba Maqsood, Afsah Saleem, Marc Sim, David Suter, Simone Radavelli-Bagatini

From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation

Qing Li, Yizhe Zhang, Shengxiao Yang, Qirong Li, Zian Wang

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

Jian Shi, Tianqi You, Pingping Zhang, Hongli Zhang, Rui Xu

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

Bo Yu, Jianhua Yang, Zetao Du, Yan Huang, Chenglong Li

Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging

Son T. Ly, Hien V. Nguyen

FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation

Jin Ye, Yanzhou Su, Yicheng Wu, Junjun He, Bohan Zhuang

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

Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Sidong Liu

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

Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu

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

Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub

FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections

Simon Johannes Joham, Franz Thaler, Arnela Hadzic, Martin Urschler

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

Chetan Madan, Aarjav Satia, Soumen Basu, Pankaj Gupta, Usha Dutta

FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality

Wenjin Zhong, Cong Cong, Zihan Wang, Zeya Yan, Antonio Di Ieva

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

Benjamin D. Killeen, Liam J. Wang, Blanca Iñígo, Han Zhang, Mehran Armand

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

Milad Yazdani, Yasamin Medghalchi, Pooria Ashrafian, Ilker Hacihaliloglu, Dena Shahriari

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis

Xiaoyan Kui, Qianmu Xiao, Qinsong Li, Zexin Ji, Jielin Zhang

Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction

Haifeng Wang, Zehua Ren, Heng Chang, Xinmei Qiu, Fan Wang

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

Kushal Vyas, Ashok Veeraraghavan, Guha Balakrishnan

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

Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging

Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit Bhargava

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

Shripad Pate, Aiman Farooq, Suvrankar Datta, Musadiq Aadil Sheikh, Atin Kumar

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

Farid Tasharofi, Fuxin Fan, Melika Qahqaie, Mareike Thies, Andreas Maier

FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction

Tao Song, Fang Nie, Yi Guo, Feng Xu, Shaoting Zhang

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation

Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed

Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose

Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Esra Abaci Turk, Benjamin Billot

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

Sue Min Cho, Winnie Wu, Ethan Kilmer, Russell H. Taylor, Mathias Unberath

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation

Haolong Jin, Shenglin Liu, Cong Cong, Qingmin Feng, Yongzhi Liu

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni

FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities

Yukun Shi, Meiting Xue, Yan Zeng, Jilin Zhang, Jian Wan

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

Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo, Joël L. Lavanchy, Nicolas Padoy