Automatic liver segmentation using an adversarial image-to-image network D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 307 | 2017 |
Generative models for effective ML on private, decentralized datasets S Augenstein, HB McMahan, D Ramage, S Ramaswamy, P Kairouz, ... arXiv preprint arXiv:1911.06679, 2019 | 218 | 2019 |
Federated learning of out-of-vocabulary words M Chen, R Mathews, T Ouyang, F Beaufays arXiv preprint arXiv:1903.10635, 2019 | 191 | 2019 |
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, ... Information Processing in Medical Imaging: 25th International Conference …, 2017 | 130 | 2017 |
Method and system for artificial intelligence based medical image segmentation SK Zhou, M Chen, H Ding, B Georgescu, MA Gulsun, TS Kim, AP Kiraly, ... US Patent 10,878,219, 2020 | 88 | 2020 |
Federated learning of n-gram language models M Chen, AT Suresh, R Mathews, A Wong, C Allauzen, F Beaufays, ... arXiv preprint arXiv:1910.03432, 2019 | 87 | 2019 |
Deep image-to-image recurrent network with shape basis learning for automatic vertebra labeling in large-scale 3D CT volumes D Yang, T Xiong, D Xu, SK Zhou, Z Xu, M Chen, JH Park, S Grbic, TD Tran, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 55 | 2017 |
Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training D Xu, T Xiong, D Liu, SK Zhou, M Chen, D Comaniciu US Patent 10,210,613, 2019 | 50 | 2019 |
Deep learning based bone removal in computed tomography angiography M Chen, TS Kim, J Kretschmer, S Seifert, SK Zhou, M Schöbinger, D Liu, ... US Patent 10,582,907, 2020 | 45 | 2020 |
Automatic liver segmentation using adversarial image-to-image network D Yang, D Xu, SK Zhou, B Georgescu, M Chen, D Comaniciu US Patent 10,600,185, 2020 | 41 | 2020 |
Adversarial and dual inverse deep learning networks for medical image analysis SK Zhou, M Chen, D Xu, XU Zhoubing, D Yang US Patent 10,636,141, 2020 | 34 | 2020 |
Diurnal or nocturnal? federated learning of multi-branch networks from periodically shifting distributions C Zhu, Z Xu, M Chen, J Konečný, A Hard, T Goldstein International Conference on Learning Representations, 2022 | 31 | 2022 |
Scaling language model size in cross-device federated learning JH Ro, T Breiner, L McConnaughey, M Chen, AT Suresh, S Kumar, ... arXiv preprint arXiv:2204.09715, 2022 | 27 | 2022 |
Supervised action classifier: Approaching landmark detection as image partitioning Z Xu, Q Huang, JH Park, M Chen, D Xu, D Yang, D Liu, SK Zhou Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 27 | 2017 |
Surface–region context in optimal multi-object graph-based segmentation: robust delineation of pulmonary tumors Q Song, M Chen, J Bai, M Sonka, X Wu Biennial International Conference on Information Processing in Medical …, 2011 | 25 | 2011 |
Deep image-to-image recurrent network with shape basis for automatic vertebra labeling in large-scale 3D CT volumes D Yang, T Xiong, D Xu, SK Zhou, M Chen, XU Zhoubing, D Comaniciu, ... US Patent 10,366,491, 2019 | 22 | 2019 |
Diaphragm motion quantification in megavoltage cone‐beam CT projection images M Chen, RA Siochi Medical physics 37 (5), 2312-2320, 2010 | 22 | 2010 |
Method and system for 3D cardiac motion estimation from single scan of C-arm angiography M Chen, Y Zheng, G Funka-Lea, G Lauritsch, J Boese, D Comaniciu US Patent 8,923,590, 2014 | 20 | 2014 |
Communication-efficient agnostic federated averaging J Ro, M Chen, R Mathews, M Mohri, AT Suresh arXiv preprint arXiv:2104.02748, 2021 | 18 | 2021 |
Method and system for machine learning based classification of vascular branches MA Gulsun, Y Zheng, G Funka-Lea, M Chen US Patent 10,115,039, 2018 | 18 | 2018 |