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Ali Hatamizadeh
Ali Hatamizadeh
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
4922022
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
1352022
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
1152022
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
472019
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
452019
Robust semantic segmentation of brain tumor regions from 3D MRIs
A Myronenko, A Hatamizadeh
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
412020
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
392018
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
342020
3d kidneys and kidney tumor semantic segmentation using boundary-aware networks
A Myronenko, A Hatamizadeh
arXiv preprint arXiv:1909.06684, 2019
312019
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
292022
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
232019
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
222022
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
222020
End-to-end deep convolutional active contours for image segmentation
A Hatamizadeh, D Sengupta, D Terzopoulos
arXiv preprint arXiv:1909.13359, 2019
222019
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
182022
Edge-gated CNNs for volumetric semantic segmentation of medical images
A Hatamizadeh, D Terzopoulos, A Myronenko
arXiv preprint arXiv:2002.04207, 2020
162020
Global context vision transformers
A Hatamizadeh, H Yin, J Kautz, P Molchanov
ICML 2023, 2023
132023
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
122022
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
112022
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
102022
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