Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI

Zhang, L, Pereañez, M, Piechnik, SK et al. (3 more authors) (2018) Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI. In: Lecture Notes in Computer Science. 21st International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2018, 16-20 Sep 2018, Granada, Spain,. Springer Verlag , pp. 481-489. ISBN 9783030009335

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Copyright, Publisher and Additional Information: © Springer Nature Switzerland AG 2018. This is an author produced version of a conference paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Deep learning; Dataset invariance; Adversarial learning; Ventricular coverage assessment; MRI
Dates:
  • Published: 26 September 2018
  • Accepted: 7 June 2018
  • Published (online): 26 September 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 30 Apr 2019 10:40
Last Modified: 30 Apr 2019 10:40
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-3-030-00934-2_54

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