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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Evaluating a Novel AI Tool for Automated Measurement of the Aortic Root and Valve in Cardiac Magnetic Resonance Imaging.

Parker, Jack, Coey, James, Alambrouk, Tarek, Lakey, Samuel, Green, Thomas, Brown, Alexander, Maxwell, Ian and Ripley, David (2024) Evaluating a Novel AI Tool for Automated Measurement of the Aortic Root and Valve in Cardiac Magnetic Resonance Imaging. Cureus, 16 (5). e59647. ISSN 2168-8184

Item Type: Article
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Depositing User: Ian Maxwell

Identifiers

Item ID: 18177
Identification Number: https://doi.org/10.7759/cureus.59647
ISSN: 2168-8184
URI: http://sure.sunderland.ac.uk/id/eprint/18177
Official URL: https://www.cureus.com/articles/248388-evaluating-...

Users with ORCIDS

Catalogue record

Date Deposited: 24 Sep 2024 07:49
Last Modified: 24 Sep 2024 08:00

Contributors

Author: Jack Parker
Author: James Coey
Author: Tarek Alambrouk
Author: Samuel Lakey
Author: Thomas Green
Author: Alexander Brown
Author: Ian Maxwell
Author: David Ripley

University Divisions

Faculty of Health Sciences and Wellbeing > School of Medicine

Subjects

Sciences > Health Sciences

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