Abstract is missing.
- α-UNet++: A Data-Driven Neural Network Architecture for Medical Image SegmentationYaxin Chen, Benteng Ma, Yong Xia. 3-12 [doi]
- DAPR-Net: Domain Adaptive Predicting-Refinement Network for Retinal Vessel SegmentationZichun Huang, Hongyan Mao, Ningkang Jiang, Xiaoling Wang. 13-22 [doi]
- Augmented Radiology: Patient-Wise Feature Transfer Model for Glioma GradingZisheng Li, Masahiro Ogino. 23-30 [doi]
- Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging DataHao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu. 31-40 [doi]
- Registration of Histopathology Images Using Self Supervised Fine Grained Feature MapsJames Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, ZongYuan Ge. 41-51 [doi]
- Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content SpaceJunlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan. 52-61 [doi]
- Semi-supervised Pathology Segmentation with Disentangled RepresentationsHaochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris. 62-72 [doi]
- Domain Generalizer: A Few-Shot Meta Learning Framework for Domain Generalization in Medical ImagingPulkit Khandelwal, Paul A. Yushkevich. 73-84 [doi]
- Parts2Whole: Self-supervised Contrastive Learning via ReconstructionRuibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang. 85-95 [doi]
- Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context LearningTong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian. 96-105 [doi]
- Continual Class Incremental Learning for CT Thoracic SegmentationAbdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab. 106-116 [doi]
- First U-Net Layers Contain More Domain Specific Information Than the Last OnesBoris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev. 117-126 [doi]
- Siloed Federated Learning for Multi-centric Histopathology DatasetsMathieu Andreux, Jean Ogier Du Terrail, Constance Beguier, Eric W. Tramel. 129-139 [doi]
- On the Fairness of Privacy-Preserving Representations in Medical ApplicationsMhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni. 140-149 [doi]
- Inverse Distance Aggregation for Federated Learning with Non-IID DataYousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni. 150-159 [doi]
- Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine LearningFelix Grimberg, Mary-Anne Hartley, Martin Jaggi, Sai Praneeth Karimireddy. 160-169 [doi]
- Federated Gradient Averaging for Multi-Site Training with Momentum-Based OptimizersSamuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham. 170-180 [doi]
- Federated Learning for Breast Density Classification: A Real-World ImplementationHolger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer. 181-191 [doi]
- Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep LearningPochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori. 192-200 [doi]
- Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in HealthcareSantiago S. Silva R., André Altmann, Boris Gutman, Marco Lorenzi. 201-210 [doi]