Table of Contents

• 2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human InterventionXiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang 0006. 3-12 [doi]
• Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy DenoisingRuizhou Liu, Qiang Ma 0004, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou. 13-23 [doi]
• Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy ImagesFan Bai, Xiaohan Xing, Yutian Shen, Han Ma, Max Q.-H. Meng. 24-34 [doi]
• Diffusion Models for Medical Anomaly DetectionJulia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin. 35-45 [doi]
• Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learningXiajun Jiang, Zhiyuan Li 0007, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang. 46-56 [doi]
• Aggregative Self-supervised Feature Learning from Limited Medical ImagesJiuwen Zhu, Yuexiang Li, Lian Ding, S. Kevin Zhou. 57-66 [doi]
• Learning Underrepresented Classes from Decentralized Partially Labeled Medical ImagesNanqing Dong, Michael Kampffmeyer, Irina Voiculescu. 67-76 [doi]
• Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEsPrashant Pandey 0002, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh Lall. 77-87 [doi]
• Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image ClassificationZhiyuan Cai, Li Lin 0006, Huaqing He, Xiaoying Tang 0001. 88-98 [doi]
• Self-supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance CorrelationsChi Zhang 0044, Qihua Chen, Xuejin Chen. 99-108 [doi]
• Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee SegmentationYiqun Lin, Huifeng Yao, Zezhong Li, Guoyan Zheng, Xiaomeng Li 0001. 109-118 [doi]
• Semi-supervised Medical Image Classification with Temporal Knowledge-Aware RegularizationQiushi Yang, Xinyu Liu, Zhen Chen 0013, Bulat Ibragimov, Yixuan Yuan. 119-129 [doi]
• GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity EstimationMark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei 0001, Kilian M. Pohl, Ehsan Adeli Mosabbeb. 130-139 [doi]
• Semi-supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context ConstraintsJinhua Liu, Christian Desrosiers, Yuanfeng Zhou. 140-150 [doi]
• MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body PartsWeibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li 0002, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou. 151-161 [doi]
• ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac SegmentationKe Zhang, Xiahai Zhuang. 162-172 [doi]
• ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image ClassificationZhiXiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian. 173-182 [doi]
• Combining Mixed-Format Labels for AI-Based Pathology Detection Pipeline in a Large-Scale Knee MRI StudyMicha Kornreich, JinHyeong Park, Joschka Braun, Jayashri Pawar, James Browning, Richard Herzog, Benjamin Odry, Li Zhang 0024. 183-192 [doi]
• Task-Oriented Self-supervised Learning for Anomaly Detection in ElectroencephalographyYaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang. 193-203 [doi]
• Multiple Instance Learning with Mixed Supervision in Gleason GradingHao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang 0018, Yongbing Zhang. 204-213 [doi]
• An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesionsHe Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen 0001. 214-223 [doi]
• Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRIHritam Basak, Sagnik Ghosal, Ram Sarkar. 224-233 [doi]
• Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble AnnotationsQiuhui Chen, Yi Hong. 234-243 [doi]
• Self-learning and One-Shot Learning Based Single-Slice Annotation for 3D Medical Image SegmentationYixuan Wu, Bo Zheng, Jintai Chen, Danny Z. Chen, Jian Wu. 244-254 [doi]
• Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet NetworkXiaowei Yu, Dan Hu, Lu Zhang 0050, Ying Huang 0007, Zhengwang Wu, Tianming Liu, Li Wang 0026, Weili Lin, Dajiang Zhu, Gang Li. 255-264 [doi]
• Leveraging Labeling Representations in Uncertainty-Based Semi-supervised SegmentationSukesh Adiga V, Jose Dolz, Herve Lombaert. 265-275 [doi]
• Analyzing Brain Structural Connectivity as Continuous Random FunctionsWilliam Consagra, Martin Cole, Zhengwu Zhang. 276-285 [doi]
• Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark LocalizationJiawei Liu, Fuyong Xing, Abbas Shaikh, Marius George Linguraru, Antonio R. Porras. 286-296 [doi]
• Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-TuningVishwesh Nath, Dong Yang 0005, Holger R. Roth, Daguang Xu. 297-308 [doi]
• Intervention & Interaction Federated Abnormality Detection with Noisy ClientsXinyu Liu, Wuyang Li, Yixuan Yuan. 309-319 [doi]
• SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical PriorsBotond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. 320-329 [doi]
• Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT AngiographsMartin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert. 330-340 [doi]
• Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder ClassificationSalome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr. 341-350 [doi]
• Unsupervised Domain Adaptation with Contrastive Learning for OCT SegmentationAlvaro Gomariz 0001, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel. 351-361 [doi]
• Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task RecognitionTingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu 0001. 365-374 [doi]
• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder AnalysisHejie Cui, Wei Dai, Yanqiao Zhu 0001, Xiaoxiao Li, Lifang He 0001, Carl Yang. 375-385 [doi]
• Consistency-Preserving Visual Question Answering in Medical ImagingSergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman. 386-395 [doi]
• Graph Emotion Decoding from Visually Evoked Neural ResponsesZhongyu Huang, Changde Du, Yingheng Wang, Huiguang He. 396-405 [doi]
• Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease DiagnosisTingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu 0001, Guorong Wu 0001. 406-415 [doi]
• Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-contrast CT ScansHaomiao Ni, Yuan Xue 0002, Kelvin K. Wong, John Volpi, Stephen T. C. Wong, James Z. Wang 0001, Xiaolei Huang. 416-426 [doi]
• Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesHanqing Chao, Jiajin Zhang, Pingkun Yan. 427-436 [doi]
• The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion ImagesAgnieszka Mikolajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros. 437-447 [doi]
• Accurate and Explainable Image-Based Prediction Using a Lightweight Generative ModelChiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput. 448-458 [doi]
• Interpretable Modeling and Reduction of Unknown Errors in Mechanistic OperatorsMaryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li 0007, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang. 459-468 [doi]
• Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's DiseaseHouliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He 0001. 469-478 [doi]
• FUSSNet: Fusing Two Sources of Uncertainty for Semi-supervised Medical Image SegmentationJinyi Xiang, Peng Qiu, Yang Yang. 481-491 [doi]
• CRISP - Reliable Uncertainty Estimation for Medical Image SegmentationThierry Judge, Olivier Bernard 0001, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin. 492-502 [doi]
• TBraTS: Trusted Brain Tumor SegmentationKe Zou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu. 503-513 [doi]
• Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for SegmentationKaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir. 514-524 [doi]
• DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection FractionMohammad Mahdi Kazemi Esfeh, Zahra Gholami, Christina Luong 0001, Teresa Tsang, Purang Abolmaesumi. 525-534 [doi]
• Efficient Bayesian Uncertainty Estimation for nnU-NetYidong Zhao, Changchun Yang, Artur Schweidtmann, Qian Tao. 535-544 [doi]
• Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction SetsCharles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz. 545-554 [doi]
• Poisson2Sparse: Self-supervised Poisson Denoising from a Single ImageCalvin-Khang Ta, Abhishek Aich, Akash Gupta, Amit K. Roy Chowdhury. 557-567 [doi]
• An Inclusive Task-Aware Framework for Radiology Report GenerationLin Wang, Munan Ning, Donghuan Lu, Dong Wei 0004, Yefeng Zheng 0001, Jie Chen. 568-577 [doi]
• Removal of Confounders via Invariant Risk Minimization for Medical DiagnosisSamira Zare, Hien Van Nguyen. 578-587 [doi]
• A Self-guided Framework for Radiology Report GenerationJun Li, Shibo Li, Ying Hu 0001, Huiren Tao. 588-598 [doi]
• D'ARTAGNAN: Counterfactual Video GenerationHadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz. 599-609 [doi]
• TranSQ: Transformer-Based Semantic Query for Medical Report GenerationMing Kong, Zhengxing Huang, Kun Kuang, Qiang Zhu, Fei Wu 0001. 610-620 [doi]
• Pseudo Bias-Balanced Learning for Debiased Chest X-Ray ClassificationLuyang Luo, Dunyuan Xu, Hao Chen 0011, Tien-Tsin Wong, Pheng-Ann Heng. 621-631 [doi]
• Why Patient Data Cannot Be Easily Forgotten?Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris. 632-641 [doi]
• Calibration of Medical Imaging Classification Systems with Weight ScalingLior Frenkel, Jacob Goldberger. 642-651 [doi]
• Online Reflective Learning for Robust Medical Image SegmentationYuhao Huang, Xin Yang 0009, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni 0001. 652-662 [doi]
• Fine-Grained Correlation Loss for RegressionChaoyu Chen, Xin Yang 0009, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni 0001. 663-672 [doi]
• Suppressing Poisoning Attacks on Federated Learning for Medical ImagingNaif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar. 673-683 [doi]
• The Intrinsic Manifolds of Radiological Images and Their Role in Deep LearningNicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski. 684-694 [doi]
• FedHarmony: Unlearning Scanner Bias with Distributed DataNicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete. 695-704 [doi]
• Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion ModelsWalter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees 0001, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso. 705-714 [doi]
• Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model FittingRudy Rizzo, Martyna Dziadosz, Sreenath P. Kyathanahally, Mauricio Reyes 0001, Roland Kreis. 715-724 [doi]
• AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingKhanh Nguyen, Huy-Hoang Nguyen, Aleksei Tiulpin. 725-735 [doi]