Table of Contents

• Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin TransformerDi Xu, Hengjie Liu, Dan Ruan, Ke Sheng. 3-13 [doi]
• A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional NetworksMingyang Xia, Yonggang Shi. 14-23 [doi]
• MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and CorrectionZhangxing Bian, Shuwen Wei, Yihao Liu 0003, Junyu Chen, Jiachen Zhuo, Fangxu Xing, Jonghye Woo, Aaron Carass, Jerry L. Prince. 24-34 [doi]
• FusionNet: A Frame Interpolation Network for 4D Heart ModelsChujie Chang, Shoko Miyauchi, Ken'ichi Morooka, Ryo Kurazume, Óscar Martínez Mozos. 35-44 [doi]
• A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS EstimationKo Taniguchi, Takahiro Noguchi, Satoshi Iizuka, Hiroyasu Ando, Takashi Abe, Kazuhiro Fukui. 45-55 [doi]
• A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal StudiesHalid Ziya Yerebakan, Yoshihisa Shinagawa, Mahesh Ranganath, Simon Allen-Raffl, Gerardo Hermosillo Valadez. 59-68 [doi]
• A Two-Species Model for Abnormal Tau Dynamics in Alzheimer's DiseaseZheyu Wen, Ali Ghafouri, George Biros. 69-79 [doi]
• Outlier Robust Disease Classification via Stochastic Confidence NetworkKyungsu Lee, Haeyun Lee, Georges El Fakhri, Jorge Sepulcre, Xiaofeng Liu 0001, Fangxu Xing, Jae Youn Hwang, Jonghye Woo. 80-90 [doi]
• Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of DeformationsSven Kuckertz, Stefan Heldmann, Jan Hendrik Moltz. 91-99 [doi]
• Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET ImagesOriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus. 103-112 [doi]
• RPTK: The Role of Feature Computation on Prediction PerformanceJonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra. 113-122 [doi]
• 2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability PredictionQuan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu 0001, Ling Zhang 0002, Zaiyi Liu, Yuankai Huo. 125-134 [doi]
• Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor SegmentationDelin Chen, Yansheng Qiu, Zheng Wang 0007. 135-146 [doi]
• MAD: Modality Agnostic Distance Measure for Image RegistrationVasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert. 147-156 [doi]
• Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSITomé Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria João M. Vasconcelos, Jaime S. Cardoso 0001, Peter Schüffler. 157-167 [doi]
• Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRIZiyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas. 168-181 [doi]
• BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology ImagesNegar Golestani, Aihui Wang, Gregory R. Bean, Mirabela Rusu. 182-192 [doi]
• Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged InformationNajla Al Turkestani, Lingrui Cai, Lucia H. S. Cevidanes, Jonas Bianchi, Winston Zhang, Marcela Gurgel, Maxime Gillot, Baptiste Baquero, Reza Soroushmehr. 193-204 [doi]
• Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging AnalysisHaixing Dai, Mengxuan Hu, Qing Li 0027, Lu Zhang 0050, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li 0001, Tianming Liu, Xiang Li 0001. 205-213 [doi]
• Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial NetworksLindsay Munroe, Maria Deprez, Christos Michaelides, Harold G. Parkes, Kalotina Geraki, Amy H. Herlihy, Po-Wah So. 214-226 [doi]
• Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation AnalysisZixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen 0001. 227-240 [doi]
• Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion ClassificationQi Zhu, Sen Li, Zhantao Li, Xianjun Min, Qian Li. 241-252 [doi]
• Hessian-Based Similarity Metric for Multimodal Medical Image RegistrationMohammadreza Eskandari, Houssem Eddine Gueziri, D. Louis Collins. 253-264 [doi]
• Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive DeclineMinhui Yu, Yunbi Liu, Jinjian Wu, Andrea Bozoki, Shijun Qiu, Ling Yue, Mingxia Liu 0001. 265-275 [doi]
• MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission PredictionYan Miao, Lequan Yu. 276-285 [doi]
• Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test PhaseZiyi He, Tony C. W. Mok, Albert C. S. Chung. 286-298 [doi]
• Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station StratificationKe Yan 0006, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua 0001, Xianghua Ye, Le Lu 0001. 299-310 [doi]
• Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver CancersRamtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson. 311-321 [doi]
• Operating Critical Machine Learning Models in Resource Constrained RegimesRaghavendra Selvan, Julian Schön, Erik B. Dam. 325-335 [doi]
• Data Efficiency of Segment Anything Model for Optic Disc and Cup SegmentationFabian S. L. Yii, Thomas J. MacGillivray, Miguel O. Bernabeu. 336-346 [doi]
• Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty QuantificationBenjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat. 347-356 [doi]
• PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited DataZheng Yu, Yutong Xie, Yong Xia 0001, Qi Wu 0001. 357-367 [doi]
• SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical ImageGuoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu. 368-377 [doi]