A combined imaging, deformation and registration methodology for predicting respirator fitting

Caggiari, S. orcid.org/0000-0002-8928-2141, Keenan, B., Bader, D.L. et al. (4 more authors) (2022) A combined imaging, deformation and registration methodology for predicting respirator fitting. PLoS ONE, 17 (11). e0277570. ISSN 1932-6203

Abstract

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Item Type: Article
Authors/Creators:
Editors:
  • Abdullah, J.Y.
Copyright, Publisher and Additional Information:

© 2022 Caggiari et al. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Published: 11 November 2022
  • Published (online): 11 November 2022
  • Accepted: 30 October 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Oct 2024 10:04
Last Modified: 07 Oct 2024 10:04
Status: Published
Publisher: Public Library of Science
Identification Number: 10.1371/journal.pone.0277570
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
Open Archives Initiative ID (OAI ID):

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