A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images.
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| Title: | A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41643519 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Szekely-Kohn+AC%22">Szekely-Kohn AC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cruz+De+Oliveira+D%22">Cruz De Oliveira D</searchLink>; Department of Mechanical Engineering, University College London, London, WC1E 7JE, UK.<br /><searchLink fieldCode="AU" term="%22Castellani+M%22">Castellani M</searchLink>; School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.<br /><searchLink fieldCode="AU" term="%22Douglas+M%22">Douglas M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ahmed+Z%22">Ahmed Z</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Espino+DM%22">Espino DM</searchLink>; School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. Electronic address: d.m.espino@bham.ac.uk. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2026 Mar; Vol. 204, pp. 111519. <i>Date of Electronic Publication: </i>2026 Feb 04. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>1250250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0534 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200104825%22">00104825 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41643519 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.compbiomed.2026.111519 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 111519 Titles: – TitleFull: A semi-automated modelling pipeline to predict the mechanics of multiple sclerosis lesion afflicted brains from magnetic resonance images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Szekely-Kohn AC – PersonEntity: Name: NameFull: Cruz De Oliveira D – PersonEntity: Name: NameFull: Castellani M – PersonEntity: Name: NameFull: Douglas M – PersonEntity: Name: NameFull: Ahmed Z – PersonEntity: Name: NameFull: Espino DM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-0534 Numbering: – Type: volume Value: 204 Titles: – TitleFull: Computers in biology and medicine Type: main |
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