Ali Hatamizadeh

Computer Science · Physical Sciences

22h-index6.3kcitations63works22.12yr avg
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Research Topics

Advanced Neural Network Applications(30), Radiomics and Machine Learning in Medical Imaging(23), AI in cancer detection(10), Privacy-Preserving Technologies in Data(9), COVID-19 diagnosis using AI(9)

Publications62 total

iGRPO: Self-Feedback-Driven LLM Reasoning
arXiv (Cornell University)·2026Open Access
iGRPO: Self-Feedback-Driven LLM Reasoning
arXiv (Cornell University)·2026Open Access
RLP: Reinforcement as a Pretraining Objective
arXiv (Cornell University)·2025Open Access
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
2025· 116 cited
Gated Delta Networks: Improving Mamba2 with Delta Rule
arXiv (Cornell University)·2024· 1 citedOpen Access
DiffiT: Diffusion Vision Transformers for Image Generation
Lecture notes in computer science·2024· 24 cited
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
arXiv (Cornell University)·2024· 27 citedOpen Access
An Empirical Study of Mamba-based Language Models
arXiv (Cornell University)·2024· 9 citedOpen Access
DiffiT: Diffusion Vision Transformers for Image Generation
arXiv (Cornell University)·2023· 7 citedOpen Access
ViR: Towards Efficient Vision Retention Backbones
arXiv (Cornell University)·2023· 3 citedOpen Access
FasterViT: Fast Vision Transformers with Hierarchical Attention
arXiv (Cornell University)·2023· 35 citedOpen Access
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
IEEE Transactions on Medical Imaging·2023· 102 cited
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation
Lecture notes in computer science·2023· 2 cited
MONAI: An open-source framework for deep learning in healthcare
arXiv (Cornell University)·2022· 422 citedOpen Access
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results
The Journal of Machine Learning for Biomedical Imaging·2022· 46 citedOpen Access
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
arXiv (Cornell University)·2022Open Access
Global Context Vision Transformers
arXiv (Cornell University)·2022· 34 citedOpen Access
GradViT: Gradient Inversion of Vision Transformers
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 63 cited
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 57 cited
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 31 cited
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Frequent Co-authors

Daguang Xu(23), Andriy Myronenko(19), Holger R. Roth(19), Wenqi Li(13), Jan Kautz(12), Demetri Terzopoulos(10), Vishwesh Nath(9), Dong Yang(7), Pavlo Molchanov(7), Ziyue Xu(6), Yucheng Tang(5), Dong Yang(5), Hongxu Yin(5), Mona G. Flores(4), Andrew Feng(4), Debleena Sengupta(4), Bennett A. Landman(3), Can Zhao(3), Ziyue Xu(3), Justin Kirby(3)