| 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 | 1276 | 2022 |
| Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images A Hatamizadeh, V Nath, Y Tang, D Yang, HR Roth, D Xu International MICCAI Brainlesion Workshop, 272-284, 2021 | 607 | 2021 |
| Self-supervised pre-training of swin transformers for 3d medical image analysis Y Tang, D Yang, W Li, HR Roth, B Landman, D Xu, V Nath, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 398 | 2022 |
| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 223 | 2022 |
| Deep active lesion segmentation A Hatamizadeh, A Hoogi, D Sengupta, W Lu, B Wilcox, D Rubin, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 62 | 2019 |
| Global context vision transformers A Hatamizadeh, H Yin, G Heinrich, J Kautz, P Molchanov International Conference on Machine Learning, 12633-12646, 2023 | 61 | 2023 |
| Robust semantic segmentation of brain tumor regions from 3D MRIs A Myronenko, A Hatamizadeh Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 61 | 2020 |
| End-to-end boundary aware networks for medical image segmentation A Hatamizadeh, D Terzopoulos, A Myronenko Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 58 | 2019 |
| End-to-end trainable deep active contour models for automated image segmentation: Delineating buildings in aerial imagery A Hatamizadeh, D Sengupta, D Terzopoulos Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 50 | 2020 |
| Closing the generalization gap of cross-silo federated medical image segmentation A Xu, W Li, P Guo, D Yang, HR Roth, A Hatamizadeh, C Zhao, D Xu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 44 | 2022 |
| Automatic segmentation of pulmonary lobes using a progressive dense V-network AAZ Imran, A Hatamizadeh, SP Ananth, X Ding, D Terzopoulos, ... International Workshop on Deep Learning in Medical Image Analysis, 282-290, 2018 | 42 | 2018 |
| Auto-fedrl: Federated hyperparameter optimization for multi-institutional medical image segmentation P Guo, D Yang, A Hatamizadeh, A Xu, Z Xu, W Li, C Zhao, D Xu, ... European Conference on Computer Vision, 437-455, 2022 | 39 | 2022 |
| Gradvit: Gradient inversion of vision transformers A Hatamizadeh, H Yin, HR Roth, W Li, J Kautz, D Xu, P Molchanov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| 3d kidneys and kidney tumor semantic segmentation using boundary-aware networks A Myronenko, A Hatamizadeh arXiv preprint arXiv:1909.06684, 2019 | 37 | 2019 |
| Do gradient inversion attacks make federated learning unsafe? A Hatamizadeh, H Yin, P Molchanov, A Myronenko, W Li, P Dogra, ... IEEE Transactions on Medical Imaging, 2023 | 36 | 2023 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 32 | 2022 |
| Unetformer: A unified vision transformer model and pre-training framework for 3d medical image segmentation A Hatamizadeh, Z Xu, D Yang, W Li, H Roth, D Xu arXiv preprint arXiv:2204.00631, 2022 | 30 | 2022 |
| Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network AAZ Imran, A Hatamizadeh, SP Ananth, X Ding, N Tajbakhsh, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2020 | 28 | 2020 |
| End-to-end deep convolutional active contours for image segmentation A Hatamizadeh, D Sengupta, D Terzopoulos arXiv preprint arXiv:1909.13359, 2019 | 25 | 2019 |
| Deep dilated convolutional nets for the automatic segmentation of retinal vessels A Hatamizadeh, H Hosseini, Z Liu, SD Schwartz, D Terzopoulos arXiv preprint arXiv:1905.12120, 2019 | 24 | 2019 |
Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLAVerified email at cs.ucla.edu
