Table of Contents

• A Causal-Holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual PatientsXinghua Ma, Xingyu Qiu, Yuetan Chu, Kuanquan Wang, Zhaowen Qiu, Gongning Luo, Xin Gao 0001. 3-13 [doi]
• A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound VideosShuo Gao, Meng Yang, Jun Xue, Yang Chen 0008, Jingyang Zhang, Guangquan Zhou. 14-23 [doi]
• A Learning Framework for Predicting CT-Based PRM Biomarker from MRI Sequences in COPDYiling Xu, Simon M. F. Triphan, Julian Grolig, Hanyi Zhang, Jürgen Biederer, Craig J. Galbán, Hans-Ulrich Kauczor, Mark Oliver Wielpütz, Oliver Weinheimer. 24-33 [doi]
• A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in EchocardiogramsHaoyuan Chen, Yonghao Li, Long Yang, Han Wu 0007, Lin Zhou, Kaicong Sun, Dinggang Shen. 34-43 [doi]
• A Unified Missing Modality Imputation Model with Inter-modality Contrastive and Consistent LearningLiangce Qi, Yusi Liu, Yuqin Li, Weili Shi, Guanyuan Feng, Zhengang Jiang. 44-53 [doi]
• A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound ImagingHailong Li, Liansheng Wang, Yinran Chen. 54-63 [doi]
• Alzheimer's Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data FusionYaqin Li, Yihong Dong, Yanan Wu, Haihao Yan, Linlin Gao. 64-73 [doi]
• Anatomical Graph-Based Multilevel Distillation for Robust Alzheimer's Disease Diagnosis with Missing ModalitiesFei Liu, Huabin Wang, Mohamed Hisham Jaward, Shiuan-Ni Liang, Huey Fang Ong, Jiayuan Cheng. 74-83 [doi]
• Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological BiomarkersSharifa Sahai, Ana D. Ramos-Guerra, Cristina Almagro-Pérez, Guillaume Jaume, Andrew Zhang, Helmut Rennke, Astrid Weins, Juan E. Ortuño 0001, María J. Ledesma-Carbayo, Faisal Mahmood 0001. 84-94 [doi]
• Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor SegmentationShenghao Zhu, Yifei Chen, Weihong Chen, Yuanhan Wang, Chang Liu 0090, Shuo Jiang, Feiwei Qin, Changmiao Wang. 95-106 [doi]
• Causality-Inspired Graph Neural Network for Interpretable Strabismus Subtype ClassificationJiawen 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. 107-116 [doi]
• CF-Seg: Counterfactuals Meet SegmentationRaghav Mehta, Fabio De Sousa Ribeiro, Tian Xia, Mélanie Roschewitz, Ainkaran Santhirasekaram, Dominic C. Marshall, Ben Glocker. 117-127 [doi]
• Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic RefinementHongnian Tian, Tianxu Lv, Jiansong Fan, Delin Pan, Lihua Li 0002, Xiang Pan. 128-137 [doi]
• DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing ModalitiesHaitao Li, Ziyu Li, Yiheng Mao, Zhengyao Ding, Zhengxing Huang. 138-148 [doi]
• Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis DetectionSumin Seo, In Kyu Lee, Hyun Woo Kim, Jaesik Min, Chung-Hwan Jung. 149-159 [doi]
• Edge-Semantic Synergy Fusion and Adaptive Noise-Aware for Weakly Supervised Pathological Tissue SegmentationHualong Zhang, Siyang Feng, Zihan Huan, Huadeng Wang, Zhenbing Liu, Rushi Lan, Xipeng Pan. 160-169 [doi]
• End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth LocalizationKaibo Shi, Hairong Jin, Youyi Zheng. 170-180 [doi]
• Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action RecognitionNinghan Fan, Ming Kong, Jing Huang, Bingdi Chen, Qiang Zhu. 181-191 [doi]
• FDAS: Foundation Model Distillation and Anatomic Structure-Aware Multi-task Learning for Self-Supervised Medical Image SegmentationXiaoran Qi, Guoning Zhang 0002, Jianghao Wu 0001, Shaoting Zhang 0001, Xiaorong Hou, Guotai Wang. 192-202 [doi]
• FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing ModalitiesYukun Shi, Meiting Xue, Yan Zeng, Jilin Zhang, Jian Wan 0001, Ye Zhou. 203-213 [doi]
• GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud CompletionShumeng Li, Jian Zhang 0018, Lei Qi 0001, Yinghuan Shi. 214-224 [doi]
• IM-Fuse: A Mamba-Based Fusion Block for Brain Tumor Segmentation with Incomplete ModalitiesVittorio Pipoli, Alessia Saporita, Kevin Marchesini, Costantino Grana, Elisa Ficarra, Federico Bolelli. 225-235 [doi]
• Information Bottleneck-Based Causal Attention for Multi-label Medical Image RecognitionXiaoxiao Cui, Yiran Li, Kai He, Shanzhi Jiang, Mengli Xue, Wentao Li 0001, Junhong Leng, Zhi Liu 0004, LiZhen Cui, Shuo Li 0001. 236-246 [doi]
• Inter-class Separability Loss for Weakly Supervised Mutually Exclusive Multiclass Segmentation of Brain Tumor LesionsVivek Dhamale, Vaanathi Sundaresan. 247-257 [doi]
• Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised SegmentationZiman Yin, Dong Nie, Shuo Li, JunJun Pan, Zhenyu Tang 0002. 258-267 [doi]
• ITMatch: Arch-Guided Semi-supervised Tooth Arrangement via Iterative Confidence EvaluationChengyuan Wang, Zhihui He, Li Chen, Shidong Yang, Guiyu Sun, Fan Duan, Shuo Wang, Yanheng Zhou. 268-277 [doi]
• Last Layer Laplacian Pseudocoresets for Robust Medical Image AnalysisFranciskus Xaverius Erick, Johanna Paula Müller, Zhe Li 0025, Bernhard Kainz. 278-287 [doi]
• LVPNet: A Latent-Variable-Based Prediction-Driven End-to-End Framework for Lossless Compression of Medical ImagesChenyue Song, Chen hui, Qing Lin, Wei Zhang 0192, Siqiao Li, Haiqi Zhu, Shengping Zhang, Zhixuan Li, Shaohui Liu, Feng Jiang 0001, Xiang Li. 288-298 [doi]
• MAMBA-Based Weakly Supervised Medical Image Segmentation with Cross-Modal Textual InformationZhen Pan, Wenhui Huang 0002, Yuanjie Zheng. 299-309 [doi]
• Masked Contrastive Language-Image Modeling For Brain SegmentationJianwen Liang, Junyan Lyu, Yixuan Yuan, Xiaoying Tang 0001. 310-319 [doi]
• MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image AnalysisDaniel Scholz 0005, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler. 320-330 [doi]
• MOSCARD - Multimodal Opportunistic Screening for Cardiovascular Adverse Events with Causal Reasoning and De-confoundingJialu Pi, Juan Maria Farina, Rimita Lahiri, Jiwoong Jason Jeong, Archana Gurudu, Hyung-Bok Park, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, Imon Banerjee. 331-341 [doi]
• Multi-masked Querying Network for Robust Emotion Recognition from Incomplete Multi-modal Physiological SignalsGeng-Xin Xu, Xiang Zuo, Ye Li 0002. 342-352 [doi]
• Multimodal Imputation of Imaging-Derived Phenotypes from Genomic and Blood-Based Biomarkers Enhances Common Disease DiscoveryHaoyang Zhang, Yan Li 0064, 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. 353-362 [doi]
• Multi-modal MRI Translation via Evidential Regression and Distribution CalibrationJiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang. 363-373 [doi]
• Multi-spatial Granger Causality Features Fusion Network for Alzheimer's Disease ClassificationZhiwei Song, Jingming Li, Hu Yu, Xiaojuan Guo. 374-384 [doi]
• Neural Proteomics Fields for Super-Resolved Spatial Proteomics PredictionBokai Zhao, Weiyang Shi, Hanqing Chao, Zijiang Yang, Yiyang Zhang, Ming Song, Tianzi Jiang. 385-394 [doi]
• PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image ClassificationJingjiao Lou, Qingtao Pan, Qing Yang, Bing Ji. 395-404 [doi]
• ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer DetectionTarek 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. 405-414 [doi]
• R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTsQin Hao, Long Yu 0001, Shengwei Tian, Xujiong Ye, Lei Zhang 0043. 415-425 [doi]
• Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold TheoremGuoli Wang, Benzheng Wei, Shuo Li 0001. 426-435 [doi]
• Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac SegmentationKarol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee. 436-446 [doi]
• Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled RepresentationXinkun Wang, Yifang Wang 0013, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, ZongYuan Ge, Imran Razzak. 447-456 [doi]
• SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR ImagingJunkai Liu, Nay Aung, Theodoros N. Arvanitis, Stefan K. Piechnik, Joao A. C. Lima, Steffen E. Petersen, Le Zhang 0005. 457-466 [doi]
• Scalp Diagnostic System with Label-Free Segmentation and Training-Free Image TranslationYoungmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu, Junhyug Noh. 467-476 [doi]
• Self-supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-MakingYipeng Zhang, Yuanyi Ding, Chenda Duan, Atsuro Daida, Hiroki Nariai, Vwani Roychowdhury. 477-486 [doi]
• Semi-supervised Multi-modal Medical Image Segmentation for Complex SituationsDongdong Meng, Sheng Li 0008, Hao Wu, Guoping Wang, Xueqing Yan. 487-496 [doi]
• Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image SegmentationSiteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong. 497-507 [doi]
• Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing ModalitiesXinzhe Zhang, Junjie Liang, Peng Cao 0001, Jinzhu Yang, Osmar R. Zaïane. 508-518 [doi]
• Subtyping Breast Lesions via Generative Augmentation Based Long-Tailed Recognition in UltrasoundShijing Chen, Xinrui Zhou, Yuhao Wang, Yuhao Huang 0001, Ao Chang, Dong Ni 0001, Ruobing Huang. 519-529 [doi]
• Synergy-Guided Regional Supervision of Pseudo Labels for Semi-supervised Medical Image SegmentationTao Wang 0085, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan 0002, Tong Tong 0001. 530-540 [doi]
• Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical ImagingEmma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms. 541-550 [doi]
• Temporal Modulated Multi-scale Deformation Fusion via Knowledge Distillation for 4D Medical Image InterpolationJiaju Zhang, Danni Ai, Zhikun Gan, Tianyu Fu 0003, Jingfan Fan, Hong Song, Deqiang Xiao, Jian Yang. 551-561 [doi]
• Towards Globally Predictable k-Space Interpolation: A White-Box Transformer ApproachChen Luo, Qiyu Jin, Taofeng Xie, Xuemei Wang, HuaYu Wang, Congcong Liu, Liming Tang, Guoqing Chen, Zhuo-Xu Cui, Dong Liang 0001. 562-572 [doi]
• Training State-of-the-Art Pathology Foundation Models with Orders of Magnitude Less DataMikhail Karasikov, Joost van Doorn, Nicolas Känzig, Melis Erdal Cesur, Hugo Mark Horlings, Robert Berke, Fei Tang, Sebastian Otálora. 573-583 [doi]
• Tree-Based Semantic Losses: Application to Sparsely-Supervised Large Multi-class Hyperspectral SegmentationJunwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren. 584-594 [doi]
• Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT VolumesRoman Naeem, David Hagerman, Jennifer Alvén, Lennart Svensson, Fredrik Kahl. 595-605 [doi]
• UltrON: Ultrasound Occupancy NetworksMagdalena Wysocki, Felix Duelmer, Ananya Bal, Nassir Navab, Mohammad Farid Azampour. 606-615 [doi]
• UM-SAM: Unsupervised Medical Image Segmentation Using Knowledge Distillation from Segment Anything ModelJia Fu, He Li, Tao Lu, Shaoting Zhang 0001, Guotai Wang. 616-626 [doi]
• VBCD: A Voxel-Based Framework for Personalized Dental Crown DesignLinda Wei, Chang Liu, Wenran Zhang, Zengji Zhang, Shaoting Zhang 0001, Hongsheng Li 0001. 627-636 [doi]
• Weakly Semi-supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance LearningManman Fei, Zhiyun Song, Zhenrong Shen 0001, Mengjun Liu, Qian Wang 0001, Lichi Zhang. 637-647 [doi]
• Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI SegmentationYuxin Cui, Max Q.-H. Meng, Zhe Min. 648-658 [doi]