Davies, Rhodri H.
Augusto, João B.
Bhuva, Anish
Xue, Hui
Treibel, Thomas A.
Ye, Yang
Hughes, Rebecca K.
Bai, Wenjia
Lau, Clement
Shiwani, Hunain
Fontana, Marianna
Kozor, Rebecca
Herrey, Anna
Lopes, Luis R.
Maestrini, Viviana
Rosmini, Stefania
Petersen, Steffen E.
Kellman, Peter
Rueckert, Daniel
Greenwood, John P.
Captur, Gabriella
Manisty, Charlotte
Schelbert, Erik
Moon, James C. http://orcid.org/0000-0001-8071-1491
Funding for this research was provided by:
British Heart Foundation (AA/18/6/34223, AA/18/6/34223, AA/18/6/34223, AA/18/6/34223, FS/19/35/34374)
SBRI Healthcare Award
European Regional Development Fund
Engineering and Physical Sciences Research Council (EP/P001009/1)
Horizon 2020 (825903)
This article is maintained by: Elsevier
Article Title: Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning
Journal Title: Journal of Cardiovascular Magnetic Resonance
CrossRef DOI link to publisher maintained version: https://0-doi-org.brum.beds.ac.uk/10.1186/s12968-022-00846-4
Content Type: article
Copyright: Copyright © 2022 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance. Published by Elsevier Inc.