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ORCID28th MICCAI 2025: Daejeon, South Korea - Part VIII
- James C. Gee
, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VIII. Lecture Notes in Computer Science 15967, Springer 2026, ISBN 978-3-032-04983-4
Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis
- Xinghua Ma, Xingyu Qiu, Yuetan Chu, Kuanquan Wang, Zhaowen Qiu, Gongning Luo, Xin Gao:
A Causal-Holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients. 3-13 - Shuo Gao, Meng Yang, Jun Xue, Yang Chen, Jingyang Zhang, Guangquan Zhou:
A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos. 14-23 - Yiling Xu, Simon M. F. Triphan, Julian Grolig, Hanyi Zhang, Jürgen Biederer, Craig J. Galbán, Hans-Ulrich Kauczor, Mark Oliver Wielpütz, Oliver Weinheimer:
A Learning Framework for Predicting CT-Based PRM Biomarker from MRI Sequences in COPD. 24-33 - Haoyuan Chen, Yonghao Li, Long Yang, Han Wu, Lin Zhou, Kaicong Sun, Dinggang Shen:
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms. 34-43 - Liangce Qi, Yusi Liu, Yuqin Li, Weili Shi, Guanyuan Feng, Zhengang Jiang:
A Unified Missing Modality Imputation Model with Inter-modality Contrastive and Consistent Learning. 44-53 - Hailong Li, Liansheng Wang, Yinran Chen:
A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging. 54-63 - Yaqin Li, Yihong Dong, Yanan Wu, Haihao Yan, Linlin Gao:
Alzheimer's Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion. 64-73 - Fei Liu, Huabin Wang, Mohamed Hisham Jaward, Shiuan-Ni Liang, Huey Fang Ong, Jiayuan Cheng:
Anatomical Graph-Based Multilevel Distillation for Robust Alzheimer's Disease Diagnosis with Missing Modalities. 74-83 - Sharifa Sahai, Ana D. Ramos-Guerra, Cristina Almagro-Pérez, Guillaume Jaume, Andrew Zhang, Helmut Rennke, Astrid Weins, Juan E. Ortuño, María J. Ledesma-Carbayo, Faisal Mahmood:
Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers. 84-94 - Shenghao Zhu, Yifei Chen, Weihong Chen, Yuanhan Wang, Chang Liu, Shuo Jiang, Feiwei Qin, Changmiao Wang:
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation. 95-106 - Jiawen Zheng, Li Luo, Jiafan Zhuang, Peiwei Wei, Lihao Zhong, Xiaoling Xie, Jinming Guo, Meng Xie, Xiaoli Kang, Jie Cen, Lingyan Dong, Ce Zheng, Zhun Fan:
Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype Classification. 107-116 - Raghav Mehta, Fabio De Sousa Ribeiro, Tian Xia, Mélanie Roschewitz, Ainkaran Santhirasekaram, Dominic C. Marshall, Ben Glocker:
CF-Seg: Counterfactuals Meet Segmentation. 117-127 - Hongnian Tian, Tianxu Lv, Jiansong Fan, Delin Pan, Lihua Li, Xiang Pan:
Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement. 128-137 - Haitao Li, Ziyu Li, Yiheng Mao, Zhengyao Ding, Zhengxing Huang:
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities. 138-148 - Sumin Seo, In Kyu Lee, Hyun-Woo Kim, Jaesik Min, Chung-Hwan Jung:
Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection. 149-159 - Hualong Zhang, Siyang Feng, Zihan Huan, Huadeng Wang, Zhenbing Liu, Rushi Lan, Xipeng Pan:
Edge-Semantic Synergy Fusion and Adaptive Noise-Aware for Weakly Supervised Pathological Tissue Segmentation. 160-169 - Kaibo Shi, Hairong Jin, Youyi Zheng:
End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization. 170-180 - Ninghan Fan, Ming Kong, Jing Huang, Bingdi Chen, Qiang Zhu:
Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition. 181-191 - Xiaoran Qi, Guoning Zhang, Jianghao Wu, Shaoting Zhang, Xiaorong Hou, Guotai Wang:
FDAS: Foundation Model Distillation and Anatomic Structure-Aware Multi-task Learning for Self-Supervised Medical Image Segmentation. 192-202 - Yukun Shi, Meiting Xue, Yan Zeng, Jilin Zhang, Jian Wan, Ye Zhou:
FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities. 203-213 - Shumeng Li, Jian Zhang, Lei Qi, Yinghuan Shi:
GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion. 214-224 - Vittorio Pipoli, Alessia Saporita, Kevin Marchesini, Costantino Grana, Elisa Ficarra, Federico Bolelli:
IM-Fuse: A Mamba-Based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities. 225-235 - Xiaoxiao Cui, Yiran Li, Kai He, Shanzhi Jiang, Mengli Xue, Wentao Li, Junhong Leng, Zhi Liu, Lizhen Cui, Shuo Li:
Information Bottleneck-Based Causal Attention for Multi-label Medical Image Recognition. 236-246 - Vivek Dhamale, Vaanathi Sundaresan:
Inter-class Separability Loss for Weakly Supervised Mutually Exclusive Multiclass Segmentation of Brain Tumor Lesions. 247-257 - Ziman Yin, Dong Nie, Shuo Li, Junjun Pan, Zhenyu Tang:
Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised Segmentation. 258-267 - Chengyuan Wang, Zhihui He, Li Chen, Shidong Yang, Guiyu Sun, Fan Duan, Shuo Wang, Yanheng Zhou:
ITMatch: Arch-Guided Semi-supervised Tooth Arrangement via Iterative Confidence Evaluation. 268-277 - Franciskus Xaverius Erick, Johanna Paula Müller, Zhe Li, Bernhard Kainz:
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis. 278-287 - Chenyue Song, Chen Hui, Qing Lin, Wei Zhang, Siqiao Li, Haiqi Zhu, Shengping Zhang, Zhixuan Li, Shaohui Liu, Feng Jiang, Xiang Li:
LVPNet: A Latent-Variable-Based Prediction-Driven End-to-End Framework for Lossless Compression of Medical Images. 288-298 - Zhen Pan, Wenhui Huang, Yuanjie Zheng:
MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual Information. 299-309 - Jianwen Liang, Junyan Lyu, Yixuan Yuan, Xiaoying Tang:
Masked Contrastive Language-Image Modeling For Brain Segmentation. 310-319 - Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis. 320-330 - Jialu Pi, Juan Maria Farina, Rimita Lahiri, Jiwoong Jason Jeong, Archana Gurudu, Hyung-Bok Park, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, Imon Banerjee:
MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse Events with Causal Reasoning and De-confounding. 331-341 - Geng-Xin Xu, Xiang Zuo, Ye Li:
Multi-masked Querying Network for Robust Emotion Recognition from Incomplete Multi-modal Physiological Signals. 342-352 - Haoyang Zhang, Yan Li, Junhong Liu, Lizhen Lan, Zian Wang, Longyu Sun, Yuntong Lv, Shengxiao Yang, Qing Li, Mengting Sun, Yajing Zhang, Binghua Chen, Xionghui Zhou, Lianming Wu, Chengyan Wang:
Multimodal Imputation of Imaging-Derived Phenotypes from Genomic and Blood-Based Biomarkers Enhances Common Disease Discovery. 353-362 - Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang:
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. 363-373 - Zhiwei Song, Jingming Li, Hu Yu, Xiaojuan Guo:
Multi-spatial Granger Causality Features Fusion Network for Alzheimer's Disease Classification. 374-384 - Bokai Zhao, Weiyang Shi, Hanqing Chao, Zijiang Yang, Yiyang Zhang, Ming Song, Tianzi Jiang:
Neural Proteomics Fields for Super-Resolved Spatial Proteomics Prediction. 385-394 - Jingjiao Lou, Qingtao Pan, Qing Yang, Bing Ji:
PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification. 395-404 - Tarek Elghareb, Mohamed Harmanani, Minh Nguyen Nhat To, Paul F. R. Wilson, Amoon Jamzad, Fahimeh Fooladgar, Baraa Abdelsamad, Obed Dzikunu, Samira Sojoudi, Gabrielle Reznik, Michael Leveridge, Robert Siemens, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection. 405-414 - Qin Hao, Long Yu, Shengwei Tian, Xujiong Ye, Lei Zhang:
R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs. 415-425 - Guoli Wang, Benzheng Wei, Shuo Li:
Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem. 426-435 - Karol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee:
Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation. 436-446 - Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak:
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. 447-456 - Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang:
SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging. 457-466 - Youngmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu, Junhyug Noh:
Scalp Diagnostic System with Label-Free Segmentation and Training-Free Image Translation. 467-476 - Yipeng Zhang, Yuanyi Ding, Chenda Duan, Atsuro Daida, Hiroki Nariai, Vwani Roychowdhury:
Self-supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making. 477-486 - Dongdong Meng, Sheng Li, Hao Wu, Guoping Wang, Xueqing Yan:
Semi-supervised Multi-modal Medical Image Segmentation for Complex Situations. 487-496 - Siteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong:
Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation. 497-507 - Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities. 508-518 - Shijing Chen, Xinrui Zhou, Yuhao Wang, Yuhao Huang, Ao Chang, Dong Ni, Ruobing Huang:
Subtyping Breast Lesions via Generative Augmentation Based Long-Tailed Recognition in Ultrasound. 519-529 - Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan, Tong Tong:
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-supervised Medical Image Segmentation. 530-540 - Emma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms:
Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging. 541-550 - Jiaju Zhang, Danni Ai, Zhikun Gan, Tianyu Fu, Jingfan Fan, Hong Song, Deqiang Xiao, Jian Yang:
Temporal Modulated Multi-scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation. 551-561 - Chen Luo, Qiyu Jin, Taofeng Xie, Xuemei Wang, Huayu Wang, Congcong Liu, Liming Tang, Guoqing Chen, Zhuo-Xu Cui, Dong Liang:
Towards Globally Predictable k-Space Interpolation: A White-Box Transformer Approach. 562-572 - Mikhail Karasikov, Joost van Doorn, Nicolas Känzig, Melis Erdal Cesur, Hugo Mark Horlings, Robert Berke, Fei Tang, Sebastian Otálora:
Training State-of-the-Art Pathology Foundation Models with Orders of Magnitude Less Data. 573-583 - Junwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren:
Tree-Based Semantic Losses: Application to Sparsely-Supervised Large Multi-class Hyperspectral Segmentation. 584-594 - Roman Naeem, David Hagerman, Jennifer Alvén, Lennart Svensson, Fredrik Kahl:
Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes. 595-605 - Magdalena Wysocki, Felix Duelmer, Ananya Bal, Nassir Navab, Mohammad Farid Azampour:
UltrON: Ultrasound Occupancy Networks. 606-615 - Jia Fu, He Li, Tao Lu, Shaoting Zhang, Guotai Wang:
UM-SAM: Unsupervised Medical Image Segmentation Using Knowledge Distillation from Segment Anything Model. 616-626 - Linda Wei, Chang Liu, Wenran Zhang, Zengji Zhang, Shaoting Zhang, Hongsheng Li:
VBCD: A Voxel-Based Framework for Personalized Dental Crown Design. 627-636 - Manman Fei, Zhiyun Song, Zhenrong Shen, Mengjun Liu, Qian Wang, Lichi Zhang:
Weakly Semi-supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning. 637-647 - Yuxin Cui, Max Q.-H. Meng, Zhe Min:
Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation. 648-658
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