543 A machine-learning CMR approach to extract disease features and automate pulmonary arterial hypertension diagnosis

Swift, A.J., Lu, H. orcid.org/0000-0002-0349-2181, Garg, P. orcid.org/0000-0002-5483-169X et al. (8 more authors) (2019) 543 A machine-learning CMR approach to extract disease features and automate pulmonary arterial hypertension diagnosis. In: European Heart Journal - Cardiovascular Imaging. EuroCMR 2019, 02-04 May 2019, Venice, Italy. Oxford University Press (OUP)

Metadata

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

© 2019 The Author(s).
Keywords: diagnosis; pulmonary arterial hypertension; cardiac mri; machine learning
Dates:
  • Published: June 2019
  • Published (online): 4 June 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
Funder
Grant number
British Heart Foundation
FS/13/48/30453
Depositing User: Symplectic Sheffield
Date Deposited: 16 Jul 2019 09:40
Last Modified: 16 Jul 2019 09:40
Status: Published
Publisher: Oxford University Press (OUP)
Refereed: Yes
Identification Number: 10.1093/ehjci/jez104.001
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Open Archives Initiative ID (OAI ID):

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