Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning

Xia, Y, Ravikumar, N, Greenwood, JP orcid.org/0000-0002-2861-0914 et al. (3 more authors) (2021) Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Analysis, 71. 102037. ISSN 1361-8415

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Keywords: Cardiac MRI; Deep learning; Super-resolution; Conditional generative adversarial net; Optical flow; Conditional batch normalisation
Dates:
  • Published: July 2021
  • Published (online): 6 April 2021
  • Accepted: 5 March 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Apr 2021 08:04
Last Modified: 24 Oct 2024 13:56
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.media.2021.102037
Open Archives Initiative ID (OAI ID):

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