The future of digital health with federated learning N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ... NPJ digital medicine 3 (1), 1-7, 2020 | 428 | 2020 |
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ... Nature communications 11 (1), 1-7, 2020 | 325 | 2020 |
Privacy-preserving federated brain tumour segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... International workshop on machine learning in medical imaging, 133-141, 2019 | 235 | 2019 |
Automatic liver segmentation using an adversarial image-to-image network D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ... International conference on medical image computing and computer-assisted …, 2017 | 217 | 2017 |
Unetr: Transformers for 3d medical image segmentation A Hatamizadeh, Y Tang, V Nath, D Yang, A Myronenko, B Landman, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 152 | 2022 |
Combo loss: Handling input and output imbalance in multi-organ segmentation SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ... Computerized Medical Imaging and Graphics 75, 24-33, 2019 | 138 | 2019 |
Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, BJ Wood, ... IEEE transactions on medical imaging 39 (7), 2531-2540, 2020 | 136 | 2020 |
Method and System for Image Registration Using an Intelligent Artificial Agent R Liao, S Miao, P De Tournemire, J Krebs, L Zhang, B Georgescu, S Grbic, ... US Patent App. 15/587,094, 2017 | 116 | 2017 |
3d anisotropic hybrid network: Transferring convolutional features from 2d images to 3d anisotropic volumes S Liu, D Xu, SK Zhou, O Pauly, S Grbic, T Mertelmeier, J Wicklein, ... International conference on medical image computing and computer-assisted …, 2018 | 115 | 2018 |
Automatic vertebra labeling in large-scale 3D CT using deep image-to-image network with message passing and sparsity regularization D Yang, T Xiong, D Xu, Q Huang, D Liu, SK Zhou, Z Xu, JH Park, M Chen, ... International conference on information processing in medical imaging, 633-644, 2017 | 94 | 2017 |
Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 90 | 2021 |
3d semi-supervised learning with uncertainty-aware multi-view co-training Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 87 | 2020 |
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ... Medical image analysis 70, 101992, 2021 | 80 | 2021 |
C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation Q Yu, D Yang, H Roth, Y Bai, Y Zhang, AL Yuille, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 76 | 2020 |
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Medical Image Analysis 65, 101766, 2020 | 72 | 2020 |
When radiology report generation meets knowledge graph Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12910 …, 2020 | 72 | 2020 |
V-NAS: Neural architecture search for volumetric medical image segmentation Z Zhu, C Liu, D Yang, A Yuille, D Xu 2019 International conference on 3d vision (3DV), 240-248, 2019 | 68 | 2019 |
The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 1-13, 2022 | 65 | 2022 |
Federated learning for breast density classification: A real-world implementation HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ... Domain adaptation and representation transfer, and distributed and …, 2020 | 63 | 2020 |
Federated learning improves site performance in multicenter deep learning without data sharing KV Sarma, S Harmon, T Sanford, HR Roth, Z Xu, J Tetreault, D Xu, ... Journal of the American Medical Informatics Association 28 (6), 1259-1264, 2021 | 62 | 2021 |