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


Nov 04, 2022
M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murrey, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Andriy Myronenko, 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 Johnson, Brad 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 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 Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng

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* www.monai.io 

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NVIDIA FLARE: Federated Learning from Simulation to Real-World


Oct 24, 2022
Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng

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* Accepted at the International Workshop on Federated Learning, NeurIPS 2022, New Orleans, USA (https://federated-learning.org/fl-neurips-2022

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


Aug 22, 2022
Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu

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* Accepted to DeCaF 2022 held in conjunction with MICCAI 2022 

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


Apr 05, 2022
Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu

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* Tech. report, 12 pages, 3 figures 

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


Mar 18, 2022
An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu

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


Mar 12, 2022
Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth

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T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging


Nov 15, 2021
Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu

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* Accepted at ICCV 2021 

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Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging


Nov 01, 2021
Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu

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* MICCAI 2021 

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


Oct 06, 2021
Riddhish Bhalodia, Ali Hatamizadeh, Leo Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu

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* Published at MICCAI 2021 

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Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures


Jul 16, 2021
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu

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* MICCAI 2021 accepted 

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