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A self-supervised deep learning approach to synthesize weighted images and T1, T2, and PD parametric maps based on MR physics priors

Author:Elisa Moya-Sáez Rodrigo de Luis-García Carlos Alberola-López

Session Type:Digital Poster

Session Date:Tuesday, 18 May 2021

Topic:Machine Learning for Quantitative Imaging

Session Name:Machine Learning for Quantitative Imaging

Program Number:2169

Room Session:Concurrent 1

Institution:University of Valladolid Fundación Científica AECC

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