Semi-supervised assessment of incomplete LV coverage in cardiac MRI using generative adversarial nets

Zhang, L, Gooya, A and Frangi, AF orcid.org/0000-0002-2675-528X (2017) Semi-supervised assessment of incomplete LV coverage in cardiac MRI using generative adversarial nets. In: Lecture Notes in Computer Science. Second International Workshop on Simulation and Synthesis in Medical Imaging: SASHIMI 2017, 10 Sep 2017, Quebec, Canada. Springer Verlag , pp. 61-68. ISBN 9783319681269

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Item Type: Proceedings Paper
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© Springer International Publishing AG 2017. 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.

Dates:
  • Published: 26 September 2017
  • Published (online): 26 September 2017
  • Accepted: 1 December 2016
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: 30 Apr 2019 10:49
Last Modified: 30 Apr 2019 10:49
Status: Published
Publisher: Springer Verlag
Identification Number: 10.1007/978-3-319-68127-6_7
Open Archives Initiative ID (OAI ID):

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