A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images.

Saved in:
Bibliographic Details
Title: A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images.
Authors: Szekely-Kohn AC; School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. Electronic address: axs1090@student.bham.ac.uk., Cruz De Oliveira D; Department of Mechanical Engineering, University College London, London, WC1E 7JE, UK., Castellani M; School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK., Douglas M; Department of Inflammation and Ageing, School of Infection, Inflammation and Immunology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham B15 2GW, UK; Department of Neurology, Dudley Group NHS Foundation Trust, Russells Hall Hospital, Birmingham DY1 2HQ, UK; School of Life and Health Sciences, Aston University, Birmingham, UK., Ahmed Z; Department of Inflammation and Ageing, School of Infection, Inflammation and Immunology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham B15 2GW, UK., Espino DM; School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. Electronic address: d.m.espino@bham.ac.uk.
Source: Computers in biology and medicine [Comput Biol Med] 2026 Mar; Vol. 204, pp. 111519. Date of Electronic Publication: 2026 Feb 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2026.111519