Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data

Benemerito, I. orcid.org/0000-0002-4942-7852, Griffiths, W., Allsopp, J. et al. (7 more authors) (2021) Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data. Computer Methods and Programs in Biomedicine, 208. 106200. ISSN 0169-2607

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Bone strength estimation; Clinical workflow; Decision support; XNAT; Finite element modelling; Open source software
Dates:
  • Accepted: 19 May 2021
  • Published (online): 25 May 2021
  • Published: September 2021
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 Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - HORIZON 2020675451 CompBioMed
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/S032940/1
EUROPEAN COMMISSION - HORIZON 2020823712
Engineering and Physical Sciences Research CouncilEP/K03877X/1
Depositing User: Symplectic Sheffield
Date Deposited: 07 Jun 2021 16:49
Last Modified: 07 Jun 2021 16:49
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.cmpb.2021.106200

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