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Ali Hatamizadeh
Ali Hatamizadeh
Senior Research Scientist, NVIDIA Research
Verified email at nvidia.com - Homepage
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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
18582022
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
9802021
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
5872022
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
4162022
Global context vision transformers
A Hatamizadeh, H Yin, G Heinrich, J Kautz, P Molchanov
International Conference on Machine Learning, 12633-12646, 2023
1072023
Proceedings of the IEEE/CVF winter conference on applications of computer vision
A Hatamizadeh, Y Tang, V Nath, D Yang, A Myronenko, B Landman
IEEE, 2022
1032022
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
702019
Robust semantic segmentation of brain tumor regions from 3D MRIs
A Myronenko, A Hatamizadeh
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
682020
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
672019
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
632022
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 42 (7), 2044-2056, 2023
602023
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
592020
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
582022
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
532022
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
432022
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
432018
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
422022
FasterViT: Fast Vision Transformers with Hierarchical Attention
A Hatamizadeh, G Heinrich, H Yin, A Tao, JM Alvarez, J Kautz, ...
ICLR 2024, 2024
402024
3d kidneys and kidney tumor semantic segmentation using boundary-aware networks
A Myronenko, A Hatamizadeh
arXiv preprint arXiv:1909.06684, 2019
392019
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
312022
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