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Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Published:2018-05-17 Issue:1 Volume:81 Page:116-128
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med

Author:

Knoll Florian¹²,Hammernik Kerstin¹²³,Kobler Erich³,Pock Thomas³⁴,Recht Michael P¹²,Sodickson Daniel K¹²

Affiliation:

1. Center for Biomedical Imaging, Department of Radiology; New York University School of Medicine; New York New York

2. Center for Advanced Imaging Innovation and Research (CAI2R); New York University School of Medicine; New York New York

3. Institute of Computer Graphics and Vision; Graz University of Technology; Graz Austria

4. Center for Vision, Automation & Control; AIT Austrian Institute of Technology GmbH; Vienna Austria

Funder

National Institutes of Health

Austrian Science Fund

H2020 European Research Council

ERC starting grant “HOMOVIS,”

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.27355/fullpdf

Reference27 articles.

1. Deep learning;LeCun;Nature,2015

2. A parallel MR imaging method using multilayer perceptron;Kwon;Med Phys.,2017

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