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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images


Mar 23, 2022
Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sebastien Ourselin, Andrew Feng, M. Jorge Cardoso


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


Jan 04, 2022
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu

* 13 pages, 3 figures 

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


Nov 29, 2021
Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh

* 16 pages, 9 figures 

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


Jul 12, 2021
Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu


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Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation


Jan 07, 2021
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth

* IEEE Transactions on Medical Imaging, 2020 
* 19 pages, 13 figures, Transactions of Medical Imaging 

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The Value of Nullspace Tuning Using Partial Label Information


Mar 17, 2020
Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko


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Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI


Feb 20, 2020
Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman

* 10 pages, 7 figures 

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Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution


Nov 13, 2019
Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen, Prasanna Parvathaneni, Allison E. Hainline, Camilo Bermudez, Andrew J. Plassard, Vaibhav Janve, Yurui Gao, Justin A. Blaber, Iwona Stępniewska, Adam W. Anderson, Bennett A. Landman

* 2 pages, 4 figures. This work was accepted and published as an abstract at ISMRM 2018 held in Paris, France 

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Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE


Jul 15, 2019
Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yucheng Tang, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman


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Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury


Mar 11, 2019
Samuel Remedios, Snehashis Roy, Justin Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham


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Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning


Nov 10, 2018
Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffery Carr, Bennett A. Landman

* Accepted by SPIE medical imaging 2019 

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Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning


Oct 09, 2018
Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, L. Taylor Davis, Jeff Luci, Adam W. Anderson, Bennett A. Landman

* 10 pages, 5 figures 

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