In-Silico Models of Trabecular Bone: A Sensitivity Analysis Perspective

Mengoni, M orcid.org/0000-0003-0986-2769, Sikora, SN, d'Otreppe, V et al. (2 more authors) (2015) In-Silico Models of Trabecular Bone: A Sensitivity Analysis Perspective. In: Geris, L and Gomez-Cabrero, D, (eds.) Uncertainty in Biology: A Computational Modeling Approach. Studies in Mechanobiology, Tissue Engineering and Biomaterials, 17 . Springer , pp. 393-423. ISBN 978-3-319-21295-1

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Copyright, Publisher and Additional Information: © Springer International Publishing Switzerland 2016. This is an author produced version of a paper published in Uncertainty in Biology: A Computational Modeling Approach. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Image-based FE models; Trabecular bone; Boundary conditions; Image processing; Numerical convergence
Dates:
  • Published: November 2015
  • Published (online): 27 October 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Jan 2015 16:21
Last Modified: 03 Feb 2020 15:33
Status: Published
Publisher: Springer
Series Name: Studies in Mechanobiology, Tissue Engineering and Biomaterials
Identification Number: https://doi.org/10.1007/978-3-319-21296-8_15

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