Ali Hatamizadeh

60 papers A* 8A 1Journal 37Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	iGRPO: Self-Feedback-Driven LLM Reasoning. CoRR Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman, Ximing Lu, Seungju Han, Wei Ping, Yejin Choi, Jan Kautz
2025	A*	`conf`	Gated Delta Networks: Improving Mamba2 with Delta Rule. ICLR Songlin Yang, Jan Kautz, Ali Hatamizadeh
2025	A*	`conf`	MambaVision: A Hybrid Mamba-Transformer Vision Backbone. CVPR Ali Hatamizadeh, Jan Kautz
2025	J	`jnl`	RLP: Reinforcement as a Pretraining Objective. CoRR Ali Hatamizadeh, Syeda Nahida Akter, Shrimai Prabhumoye, Jan Kautz, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
2024	J	`jnl`	An Empirical Study of Mamba-based Language Models. CoRR Roger Waleffe, Wonmin Byeon, Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, Ali Hatamizadeh, Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, Jan Kautz, Mohammad Shoeybi, Bryan Catanzaro
2024	—	`conf`	DiffiT: Diffusion Vision Transformers for Image Generation. ECCV (8) Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
2024	A*	`conf`	FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2024	J	`jnl`	Gated Delta Networks: Improving Mamba2 with Delta Rule. CoRR Songlin Yang, Jan Kautz, Ali Hatamizadeh
2024	J	`jnl`	MambaVision: A Hybrid Mamba-Transformer Vision Backbone. CoRR Ali Hatamizadeh, Jan Kautz
2023	—	`conf`	DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu
2023	J	`jnl`	DiffiT: Diffusion Vision Transformers for Image Generation. CoRR Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
2023	J	`jnl`	Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
2023	J	`jnl`	FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2023	A*	`conf`	Global Context Vision Transformers. ICML Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov
2023	J	`jnl`	ViR: Vision Retention Networks. CoRR Ali Hatamizadeh, Michael Ranzinger, Jan Kautz
2022	—	`conf`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022	J	`jnl`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022	A*	`conf`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
2022	J	`jnl`	Global Context Vision Transformers. CoRR Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov
2022	A*	`conf`	GradViT: Gradient Inversion of Vision Transformers. CVPR Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
2022	J	`jnl`	GradViT: Gradient Inversion of Vision Transformers. CoRR Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
2022	A*	`conf`	HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CVPR Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng
2022	J	`jnl`	RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging. CoRR Ali Hatamizadeh, Hamid Hosseini, Niraj Patel, Jinseo Choi, Cameron C. Pole, Cory M. Hoeferlin, Steven D. Schwartz, Demetri Terzopoulos
2022	J	`jnl`	RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging. IEEE J. Biomed. Health Informatics Ali Hatamizadeh, Hamid Hosseini, Niraj Patel, Jinseo Choi, Cameron C. Pole, Cory M. Hoeferlin, Steven D. Schwartz, Demetri Terzopoulos
2022	A*	`conf`	Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
2022	J	`jnl`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	—	`conf`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	J	`jnl`	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. CoRR Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu
2022	A	`conf`	UNETR: Transformers for 3D Medical Image Segmentation. WACV Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu
2022	J	`jnl`	UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu
2021	J	`jnl`	HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CoRR Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang
2021	—	`conf`	Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. MICCAI (2) Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
2021	J	`jnl`	Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. CoRR Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2021	J	`jnl`	Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
2021	—	`conf`	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. BrainLes@MICCAI (1) Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu
2021	J	`jnl`	The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. CoRR Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu
2021	—	`conf`	The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. MICCAI (3) Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu
2021	J	`jnl`	UNETR: Transformers for 3D Medical Image Segmentation. CoRR Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu
2020	J	`jnl`	Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation. CoRR Ali Hatamizadeh
2020	—	`—`	Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation. Ali Hatamizadeh
2020	J	`jnl`	Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images. CoRR Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
2020	—	`conf`	End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery. ECCV (12) Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos
2020	J	`jnl`	End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery. CoRR Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos
2020	J	`jnl`	Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Nima Tajbakhsh, Demetri Terzopoulos
2020	J	`jnl`	Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. CoRR Andriy Myronenko, Ali Hatamizadeh
2019	J	`jnl`	3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks. CoRR Andriy Myronenko, Ali Hatamizadeh
2019	J	`jnl`	Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. CoRR Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
2019	J	`jnl`	Boundary Aware Networks for Medical Image Segmentation. CoRR Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
2019	—	`conf`	Deep Active Lesion Segmentation. MLMI@MICCAI Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos
2019	J	`jnl`	Deep Active Lesion Segmentation. CoRR Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos
2019	—	`conf`	Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels. MLDM (1) Ali Hatamizadeh, Hamid Hosseini, Zhengyuan Liu, Steven D. Schwartz, Demetri Terzopoulos
2019	J	`jnl`	Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels. CoRR Ali Hatamizadeh, Hamid Hosseini, Zhengyuan Liu, Steven D. Schwartz, Demetri Terzopoulos
2019	—	`conf`	End-to-End Boundary Aware Networks for Medical Image Segmentation. MLMI@MICCAI Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
2019	J	`jnl`	End-to-End Deep Convolutional Active Contours for Image Segmentation. CoRR Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos
2019	—	`conf`	Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. BrainLes@MICCAI (2) Andriy Myronenko, Ali Hatamizadeh
2018	—	`conf`	Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. DLMIA/ML-CDS@MICCAI Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh