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Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis

Cross, C; Khonsari, RH; Galiay, L; Patermoster, G; Johnson, D; Ventikos, Y; Moazen, M; (2021) Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis. Frontiers in Cell and Developmental Biology , 9 , Article ARTN 621. 10.3389/fcell.2021.621249. Green open access

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Type: Article
Title: Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fcell.2021.621249
Publisher version: https://doi.org/10.3389/fcell.2021.621249
Language: English
Additional information: © 2021 Cross, Khonsari, Galiay, Patermoster, Johnson, Ventikos and Moazen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10128577
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