Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly

Lassila, T orcid.org/0000-0001-8947-1447, Sarrami-Foroushani, A, Hejazi, S et al. (1 more author) (2020) Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly. International Journal for Numerical Methods in Biomedical Engineering, 36 (1). e3271. ISSN 2040-7939

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019, John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Lassila, T, Sarrami‐Foroushani, A, Hejazi, S, Frangi, AF. Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly. Int J Numer Meth Biomed Engng. 2020; 36:e3271, which has been published in final form at https://doi.org/10.1002/cnm.3271. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Keywords: cerebrovascular disease; computational fluid dynamics; Gaussian process models; patient‐specific models; uncertainty quantification
Dates:
  • Published: January 2020
  • Accepted: 22 September 2019
  • Published (online): 5 November 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EU - European Union777119
Depositing User: Symplectic Publications
Date Deposited: 03 Oct 2019 16:40
Last Modified: 27 Jan 2020 15:06
Status: Published
Publisher: Wiley
Identification Number: https://doi.org/10.1002/cnm.3271

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Filename: population-specific-modelling-R2.pdf

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