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 | 492 | 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 Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2022 | 135 | 2022 |
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 | 115 | 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 | 47 | 2019 |
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 | 45 | 2019 |
Robust semantic segmentation of brain tumor regions from 3D MRIs A Myronenko, A Hatamizadeh Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 41 | 2020 |
Automatic segmentation of pulmonary lobes using a progressive dense V-network AAZ Imran, A Hatamizadeh, SP Ananth, X Ding, D Terzopoulos, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 39 | 2018 |
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 | 34 | 2020 |
3d kidneys and kidney tumor semantic segmentation using boundary-aware networks A Myronenko, A Hatamizadeh arXiv preprint arXiv:1909.06684, 2019 | 31 | 2019 |
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 | 29 | 2022 |
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 | 23 | 2019 |
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 | 22 | 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 | 22 | 2020 |
End-to-end deep convolutional active contours for image segmentation A Hatamizadeh, D Sengupta, D Terzopoulos arXiv preprint arXiv:1909.13359, 2019 | 22 | 2019 |
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, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 18 | 2022 |
Edge-gated CNNs for volumetric semantic segmentation of medical images A Hatamizadeh, D Terzopoulos, A Myronenko arXiv preprint arXiv:2002.04207, 2020 | 16 | 2020 |
Global context vision transformers A Hatamizadeh, H Yin, J Kautz, P Molchanov ICML 2023, 2023 | 13 | 2023 |
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 | 12 | 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 | 11 | 2022 |
Hypersegnas: bridging one-shot neural architecture search with 3d medical image segmentation using hypernet C Peng, A Myronenko, A Hatamizadeh, V Nath, MMR Siddiquee, Y He, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |