DART/DCL@MICCAI

Publications

2020

Pochuan 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
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. DART/DCL@MICCAI (2020)
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI (2020)
Pulkit Khandelwal, Paul A. Yushkevich
Domain Generalizer: A Few-Shot Meta Learning Framework for Domain Generalization in Medical Imaging. DART/DCL@MICCAI (2020)
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI (2020)
Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI (2020)
Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI (2020)
Holger 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
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI (2020)
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev
First U-Net Layers Contain More Domain Specific Information Than the Last Ones. DART/DCL@MICCAI (2020)
Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data. DART/DCL@MICCAI (2020)
Yaxin Chen, Benteng Ma, Yong Xia
α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation. DART/DCL@MICCAI (2020)
Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab
Continual Class Incremental Learning for CT Thoracic Segmentation. DART/DCL@MICCAI (2020)
Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian
Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. DART/DCL@MICCAI (2020)
Zichun Huang, Hongyan Mao, Ningkang Jiang, Xiaoling Wang
DAPR-Net: Domain Adaptive Predicting-Refinement Network for Retinal Vessel Segmentation. DART/DCL@MICCAI (2020)
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
On the Fairness of Privacy-Preserving Representations in Medical Applications. DART/DCL@MICCAI (2020)
Zisheng Li, Masahiro Ogino
Augmented Radiology: Patient-Wise Feature Transfer Model for Glioma Grading. DART/DCL@MICCAI (2020)
Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham
Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. DART/DCL@MICCAI (2020)
Felix Grimberg, Mary-Anne Hartley, Martin Jaggi, Sai Praneeth Karimireddy
Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning. DART/DCL@MICCAI (2020)
James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. DART/DCL@MICCAI (2020)
Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI (2020)
Santiago S. Silva R., André Altmann, Boris Gutman, Marco Lorenzi
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI (2020)

volume 12444, 2020

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings DART/DCL@MICCAI 12444 (2020)