Ali Hatamizadeh - Concepedia

Author

Ali Hatamizadeh

Nvidia (United Kingdom)ORCID

Also Known As

Ali Hatamizadeh, Hatamizadeh, Ali

Publications

6.3K

Citations

H-Index

Concepts

All Affiliations

Nvidia (United Kingdom)University of Oxford University of California, Los Angeles Nvidia (United States)Vanderbilt University

About

Ali Hatamizadeh is an author at Nvidia (United Kingdom) specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	17	4.3K
2	Health Sciences	7	7	3.6K
3	Medicine	5	5	515
4	Biomedical Engineering	2	2	704
5	Public Health	1	1	17

Ali Hatamizadeh

Publications

4.6K

Citations

H-Index

Page 1

	Year	Citations
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Structured PredictionGeometric LearningMedical Image SegmentationEngineeringMachine Learning	2022	2.6K
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang, Dong Yang, Wenqi Li, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningBiomedical Engineering	2022	691
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso, Wenqi Li, Richard Brown, arXiv (Cornell University) Artificial IntelligenceBiomedical Artificial IntelligenceEngineeringMachine LearningData Science	2022	422
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh arXiv (Cornell University) Structured PredictionGeometric LearningMedical Image SegmentationEngineeringMachine Learning	2021	210
MambaVision: A Hybrid Mamba-Transformer Vision Backbone Ali Hatamizadeh, Jan Kautz	2025	114
Do Gradient Inversion Attacks Make Federated Learning Unsafe? Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, IEEE Transactions on Medical Imaging Artificial IntelligenceEngineeringMachine LearningPrivacy-preserving TechniquesInformation Security	2023	102
GradViT: Gradient Inversion of Vision Transformers Ali Hatamizadeh, Hongxu Yin, Holger R. Roth, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Convolutional Neural NetworkEngineeringMachine LearningVision TransformersImage Analysis	2022	63
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu, Wenqi Li, Pengfei Guo, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Medical Image SegmentationEngineeringMachine LearningFederated StructureDiagnostic Imaging	2022	57
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang, Dong Yang, Wenqi Li, arXiv (Cornell University)	2021	46
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results Raghav Mehta, Angelos Filos, Ujjwal Baid, The Journal of Machine Learning for Biomedical Imaging	2022	46

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