Direct estimation of wall shear stress from aneurysmal morphology: A statistical approach

Sarrami-Foroushani, A, Lassila, T orcid.org/0000-0001-8947-1447, Pozo, JM et al. (2 more authors) (2016) Direct estimation of wall shear stress from aneurysmal morphology: A statistical approach. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016, 17-21 Oct 2016, Athens, Greece. Springer, Cham , pp. 201-209. ISBN 9783319467252

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Copyright, Publisher and Additional Information: © 2016 Springer. This is an author produced version of a paper subsequently published in Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016 Proceedings part III. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Computational Fluid Dynamic; Wall Shear Stress; Gaussian Mixture Model; Computational Fluid Dynamic Simulation; Model Evidence
Dates:
  • Published: 2 October 2016
  • Accepted: 29 April 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Aug 2018 10:10
Last Modified: 14 Aug 2018 10:10
Status: Published
Publisher: Springer, Cham
Identification Number: https://doi.org/10.1007/978-3-319-46726-9_24

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