Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds

Coveny, S., Roney, C., Corrado, C. et al. (4 more authors) (2022) Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds. Scientific Reports, 12. 16572. ISSN 2045-2322

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Copyright, Publisher and Additional Information: © The Author(s) 2022. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 19 September 2022
  • Published (online): 4 October 2022
  • Published: 4 October 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/P010741/1
Depositing User: Symplectic Sheffield
Date Deposited: 05 Oct 2022 09:38
Last Modified: 05 Oct 2022 09:38
Status: Published
Publisher: Nature Portfolio
Refereed: Yes
Identification Number: https://doi.org/10.1038/s41598-022-20745-z
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