Abstract is missing.
- Progression Models for Imaging Data with Longitudinal Variational Auto EncodersBenoît Sauty, Stanley Durrleman. 3-13 [doi]
- Boundary-Enhanced Self-supervised Learning for Brain Structure SegmentationFeng Chang, Chaoyi Wu, Yanfeng Wang, Ya Zhang 0002, Xin Chen, Qi Tian 0001. 14-23 [doi]
- Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive DeclineMinhui Yu, Hao Guan, Yuqi Fang, Ling Yue, Mingxia Liu. 24-33 [doi]
- 3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRIShengjie Zhang, Xiang Chen, Bohan Ren, Haibo Yang, Ziqi Yu, Xiao-yong Zhang, Yuan Zhou. 34-43 [doi]
- CASHformer: Cognition Aware SHape Transformer for Longitudinal AnalysisIgnacio Sarasua, Sebastian Pölsterl, Christian Wachinger. 44-54 [doi]
- Interpretable Differential Diagnosis for Alzheimer's Disease and Frontotemporal DementiaHuy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé. 55-65 [doi]
- Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNsMarla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger. 66-76 [doi]
- Unsupervised Representation Learning of Cingulate Cortical Folding PatternsJoël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin. 77-87 [doi]
- Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease DetectionEike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz. 88-98 [doi]
- Extended Electrophysiological Source Imaging with Spatial Graph FiltersFeng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon. 99-109 [doi]
- Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI DataGeng Chen 0001, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap. 113-122 [doi]
- Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRIDavood Karimi, Ali Gholipour. 123-132 [doi]
- One-Shot Segmentation of Novel White Matter Tracts via Extensive Data AugmentationWan Liu, Qi Lu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye. 133-142 [doi]
- Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap LearnerZhenwei Wang, Yifan Lv, Mengshen He, Enjie Ge, Ning Qiang, Bao Ge. 143-152 [doi]
- An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure EstimationTianshu Zheng, Weihao Zheng, Yi Sun, Yi Zhang, Chuyang Ye, Dan Wu. 153-162 [doi]
- Shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression DisorderClaire Cury, Jean-Marie Batail, Julie Coloigner. 163-173 [doi]
- White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep LearningYuqian Chen, Fan Zhang 0013, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song 0001, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai 0001, Lauren J. O'Donnell. 174-184 [doi]
- Segmentation of Whole-Brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve PointsLogiraj Kumaralingam, Kokul Thanikasalam, Sittampalam Sotheeswaran, Jeyasuthan Mahadevan, Nagulan Ratnarajah. 185-195 [doi]
- TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision TransformersFan Zhang 0013, Tengfei Xue, Weidong Cai 0001, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell. 196-206 [doi]
- Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian RegressionJulio E. Villalon-Reina, Clara Moreau, Talia M. Nir, Neda Jahanshad, Anne M. Maillard, David Romascano, Bogdan Draganski, Sarah Lippé, Carrie E. Bearden, Seyed Mostafa Kia, Andre F. Marquand, Sébastien Jacquemont, Paul M. Thompson. 207-217 [doi]
- Contrastive Functional Connectivity Graph Learning for Population-based fMRI ClassificationXuesong Wang, Lina Yao 0001, Islem Rekik, Yu Zhang. 221-230 [doi]
- Joint Graph Convolution for Analyzing Brain Structural and Functional ConnectomeYueting Li, QingYue Wei, Ehsan Adeli 0001, Kilian M. Pohl, Qingyu Zhao. 231-240 [doi]
- Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural NetworkShijie Zhao, Long Fang, Lin Wu, Yang Yang, Junwei Han. 241-250 [doi]
- Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief NetworkTianji Pang, Dajiang Zhu, Tianming Liu, Junwei Han, Shijie Zhao. 251-260 [doi]
- Interpretable Signature of Consciousness in Resting-State Functional Network Brain ActivityAntoine Grigis, Chloé Gomez, Vincent Frouin, Lynn Uhrig, Béchir Jarraya. 261-270 [doi]
- Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional KernelsKai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen T. Carmichael. 271-281 [doi]
- fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical TraitsRotem Leibovitz, Jhonathan Osin, Lior Wolf, Guy Gurevitch, Talma Hendler. 282-294 [doi]
- Multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain NetworksMengshen He, Xiangyu Hou, Zhenwei Wang, Zili Kang, Xin Zhang, Ning Qiang, Bao Ge. 295-304 [doi]
- Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template LearningFatih Said Duran, Abdurrahman Beyaz, Islem Rekik. 305-314 [doi]
- RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI AnalysisNaresh Nandakumar, Komal Manzoor, Shruti Agarwal, Haris I. Sair, Archana Venkataraman. 315-325 [doi]
- Modelling Cycles in Brain Networks with the Hodge LaplacianSixtus Dakurah, D. Vijay Anand, Zijian Chen, Moo K. Chung. 326-335 [doi]
- Predicting Spatio-Temporal Human Brain Response Using fMRIChongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang. 336-345 [doi]
- Revealing Continuous Brain Dynamical Organization with Multimodal Graph TransformerChongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang. 346-355 [doi]
- Explainable Contrastive Multiview Graph Representation of Brain, Mind, and BehaviorChongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang. 356-365 [doi]
- Embedding Human Brain Function via TransformerLin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu. 366-375 [doi]
- How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain NetworksInjun Choi, Guorong Wu 0001, Won Hwa Kim. 376-385 [doi]
- Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal TransportJavid Dadashkarimi, Amin Karbasi, Dustin Scheinost. 386-395 [doi]
- The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network InferenceWei Dai, Stephanie Noble, Dustin Scheinost. 396-405 [doi]
- Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-EncoderCarlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula. 406-415 [doi]
- Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-EncodersChloé Gomez, Antoine Grigis, Lynn Uhrig, Béchir Jarraya. 419-429 [doi]
- Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative DiseasesAna Lawry Aguila, James Chapman 0006, Mohammed Janahi, André Altmann. 430-440 [doi]
- Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRIYi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse. 441-451 [doi]
- Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype LearningJun-Ho Kim, Mohammed A. Al-masni, Seul Lee, Haejoon Lee, Dong-hyun Kim. 452-460 [doi]
- Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's DiseaseMehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang 0012, Thomas J. Grabowski, Linda G. Shapiro. 461-470 [doi]
- AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA ImagesJia Guo, Xinglong Liu, Yinan Chen, Shaoting Zhang, Guangyu Tao, Hong Yu, Huiyuan Zhu, Wenhui Lei, Huiqi Li, Na Wang. 473-483 [doi]
- Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT ScansJiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu. 484-494 [doi]
- What Makes for Automatic Reconstruction of Pulmonary SegmentsKaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du 0001, Jiancheng Yang. 495-505 [doi]
- CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTsMinghui Zhang, Hanxiao Zhang, Guang-Zhong Yang, Yun Gu. 506-516 [doi]
- Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI SegmentationZheyao Gao, Lei Li 0020, Fuping Wu, Sihan Wang, Xiahai Zhuang. 517-527 [doi]
- Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels SupervisionXiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang. 528-538 [doi]
- Diffusion Deformable Model for 4D Temporal Medical Image GenerationBoah Kim, Jong Chul Ye. 539-548 [doi]
- SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI DiagnosisYuqiang Gao, Guanyu Yang, Xiaoming Qi, Yinsu Zhu, Shuo Li 0001. 549-559 [doi]
- Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationXin He, Guohao Ying, Jiyong Zhang, Xiaowen Chu 0001. 560-570 [doi]
- Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI ViewKavitha Vimalesvaran, Fatmatülzehra Uslu, Sameer Zaman, Christoforos Galazis, James Howard, Graham Cole, Anil A. Bharath. 571-580 [doi]
- CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-RaysGaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou. 581-591 [doi]
- Reinforcement Learning for Active Modality Selection During DiagnosisGabriel Bernardino, Anders Jonsson, Filip Loncaric, Pablo-Miki Martí Castellote, Marta Sitges, Patrick Clarysse, Nicolas Duchateau. 592-601 [doi]
- Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource SettingsPooneh R. Tabrizi, Holger R. Roth, Alison Tompsett, Athelia Rosa Paulli, Kelsey Brown, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Craig Sable, Marius George Linguraru. 602-612 [doi]
- Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take?Seong-A. Park, Hyung-Chul Lee, Chul-Woo Jung, Hyun-Lim Yang. 613-622 [doi]
- Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceChengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li 0002, Yizhou Yu. 623-633 [doi]
- Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ DoseAbdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Evan Zucker, Adam Wang. 634-643 [doi]
- RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality AssessmentYiting Lu, Jun Fu 0007, Xin Li 0082, Wei Zhou 0021, Sen Liu, Xinxin Zhang, Wei Wu, Congfu Jia, Ying Liu, Zhibo Chen 0001. 644-653 [doi]
- A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier. 654-663 [doi]
- LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule DetectionRui Xu, Yong Luo, Bo Du 0001, Kaiming Kuang, Jiancheng Yang. 664-674 [doi]
- Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph ClassificationShafa Balaram, Cuong Manh Nguyen, Ashraf Kassim, Pavitra Krishnaswamy. 675-685 [doi]
- Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest RadiographKunlei Hong, Lin Guo, Yuan Ming Fleming Lure. 686-695 [doi]
- Rib Suppression in Digital Chest TomosynthesisYihua Sun, Qingsong Yao, Yuanyuan Lyu, Jianji Wang, Yi Xiao, Hongen Liao, S. Kevin Zhou. 696-706 [doi]
- Multi-task Lung Nodule Detection in Chest Radiographs with a Dual Head NetworkChen-Han Tsai, Yu-Shao Peng. 707-717 [doi]
- Data-Driven Deep Supervision for Skin Lesion ClassificationSuraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen. 721-731 [doi]
- Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion ImagesDeval Mehta, Yaniv Gal, Adrian Bowling, C. Paul Bonnington, ZongYuan Ge. 732-742 [doi]
- FairPrune: Achieving Fairness Through Pruning for Dermatological Disease DiagnosisYawen Wu, Dewen Zeng, Xiaowei Xu 0004, Yiyu Shi, Jingtong Hu. 743-753 [doi]
- Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image ClassificationWenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin 0001. 754-763 [doi]