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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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Optimal Transport Features for Morphometric Population Analysis


Aug 11, 2022
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen Aylward, Andinet Enquobahrie

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* submitted to Medical Image Analysis 

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Deep Decomposition for Stochastic Normal-Abnormal Transport


Nov 29, 2021
Peirong Liu, Yueh Lee, Stephen Aylward, Marc Niethammer

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* 23 pages, 9 figures 

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Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach


Apr 30, 2018
Xu Han, Roland Kwitt, Stephen Aylward, Spyridon Bakas, Bjoern Menze, Alexander Asturias, Paul Vespa, John Van Horn, Marc Niethammer

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Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach


Mar 31, 2017
Xu Han, Xiao Yang, Stephen Aylward, Roland Kwitt, Marc Niethammer

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* Accepted as a conference paper for ISBI 2017 

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