Ali Hatamizadeh

According to our database, Ali Hatamizadeh authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Ali Hatamizadeh, Jan Kautz

CoRR, 2024

An Empirical Study of Mamba-based Language Models.

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

CoRR, 2024

FasterViT: Fast Vision Transformers with Hierarchical Attention.

Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiffiT: Diffusion Vision Transformers for Image Generation.

Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth

IEEE Trans. Medical Imaging, 2023

ViR: Vision Retention Networks.

Ali Hatamizadeh, Michael Ranzinger, Jan Kautz

CoRR, 2023

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation.

Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Global Context Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov

Proceedings of the International Conference on Machine Learning, 2023

2022

RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging.

Ali Hatamizadeh, Hamid Hosseini, Niraj Patel, Jinseo Choi, Cameron C. Pole, Cory M. Hoeferlin, Steven D. Schwartz, Demetri Terzopoulos

IEEE J. Biomed. Health Informatics, 2022

MONAI: An open-source framework for deep learning in healthcare.

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

CoRR, 2022

Global Context Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov

CoRR, 2022

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation.

Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu

CoRR, 2022

UNETR: Transformers for 3D Medical Image Segmentation.

Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation.

Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation.

An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.

Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.

Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GradViT: Gradient Inversion of Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

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

CoRR, 2021

UNETR: Transformers for 3D Medical Image Segmentation.

Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu

CoRR, 2021

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.

Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports.

Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.

Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation.

Ali Hatamizadeh

PhD thesis, 2020

Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation.

Ali Hatamizadeh

CoRR, 2020

Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images.

Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko

CoRR, 2020

Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network.

Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Nima Tajbakhsh, Demetri Terzopoulos

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery.

Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

End-to-End Deep Convolutional Active Contours for Image Segmentation.

Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos

CoRR, 2019

3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks.

Andriy Myronenko, Ali Hatamizadeh

CoRR, 2019

Boundary Aware Networks for Medical Image Segmentation.

Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko

CoRR, 2019

Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels.

Ali Hatamizadeh, Hamid Hosseini, Zhengyuan Liu, Steven D. Schwartz, Demetri Terzopoulos

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

End-to-End Boundary Aware Networks for Medical Image Segmentation.

Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Deep Active Lesion Segmentation.

Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel L. Rubin, Demetri Terzopoulos

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs.

Andriy Myronenko, Ali Hatamizadeh

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network.

Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018