Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification

Vesal, S, Gu, M, Maier, A et al. (1 more author) (2020) Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

Abstract

Metadata

Authors/Creators:
  • Vesal, S
  • Gu, M
  • Maier, A
  • Ravikumar, N
Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Left Ventricle Quantification , Cardiac MRI , Cardiac Segmentation , Deep Learning , Myocardial Infraction
Dates:
  • Accepted: 16 December 2020
  • Published (online): 22 December 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Jul 2021 12:39
Last Modified: 28 Jul 2021 05:22
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/jbhi.2020.3046449

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