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dc.contributor.authorOrtiz-Ramon, R.
dc.contributor.authorValdes Hernandez, M. D. C.
dc.contributor.authorGonzalez-Castro, V.
dc.contributor.authorMakin, S.
dc.contributor.authorArmitage, P. A.
dc.contributor.authorAribisala, B. S.
dc.contributor.authorBastin, M. E.
dc.contributor.authorDeary, I. J.
dc.contributor.authorWardlaw, J. M.
dc.contributor.authorMoratal, D.
dc.date.accessioned2019-09-05T10:50:08Z
dc.date.available2019-09-05T10:50:08Z
dc.date.issued2019-06
dc.identifier.citationOrtiz-Ramon , R , Valdes Hernandez , M D C , Gonzalez-Castro , V , Makin , S , Armitage , P A , Aribisala , B S , Bastin , M E , Deary , I J , Wardlaw , J M & Moratal , D 2019 , ' Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images ' , Comput Med Imaging Graph , vol. 74 , pp. 12-24 . https://doi.org/10.1016/j.compmedimag.2019.02.006en
dc.identifier.issn1879-0771
dc.identifier.otherPURE: 147312708
dc.identifier.otherPURE UUID: 4cac150d-a2ea-4592-8ce4-4ee4230d85bd
dc.identifier.otherRIS: urn:2D08E51932568BB8FE6267AD7B61C2B9
dc.identifier.otherRIS: 52977
dc.identifier.otherPubMed: 30921550
dc.identifier.otherPubMedCentral: PMC6553681
dc.identifier.otherScopus: 85063342062
dc.identifier.otherMendeley: 8a7a3eca-6019-380d-8c24-2f12f89096bb
dc.identifier.otherWOS: 000471732700003
dc.identifier.otherORCID: /0000-0001-8701-9043/work/76976281
dc.identifier.urihttp://hdl.handle.net/2164/12851
dc.descriptionStudy funding This work was funded by the Row Fogo Charitable Trust (MVH, VGC) grant no. BRO-D.FID3668413, and the Wellcome Trust (patient recruitment, scanning, primary study Ref No. 088134/Z/09). The study was conducted independently of the funders who do not hold the data and did not participate in the study design or analyses. The Lothian Birth Cohort 1936 is funded by Age UK (Disconnected Mind grant) and the Medical Research Council (MRC; MR/M01311/1, G1001245, 82800), and the latter supported BSA. IJD was supported by the Centre for Cognitive Ageing and Cognitive Epidemiology, which is funded by the MRC and the Biotechnology and Biological Sciences Research Council (MR/K026992/1). David Moratal acknowledges financial support from the Spanish Ministerio de Economía y Competitividad (MINECO) and FEDER funds under Grant BFU2015-64380-C2-2-R, and from the Conselleria d'Educació, Investigació, Cultura i Esport, Generalitat Valenciana (grants AEST/2017/013 and AEST/2018/021). Rafael Ortiz-Ramón was supported by grant ACIF/2015/078 and grant BEFPI/2017/004 from the Conselleria d’Educació, Investigació, Cultura i Esport of the Valencian Community (Spain).en
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofComput Med Imaging Graphen
dc.rights©2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en
dc.subjectRadiomicsen
dc.subjectSmall vessel diseaseen
dc.subjectStrokeen
dc.subjectTexture analysisen
dc.subjectWhite matter hyperintensitiesen
dc.subjectPERIVASCULAR SPACESen
dc.subjectSMALL VESSEL DISEASEen
dc.subjectCLASSIFICATIONen
dc.subjectRADIOMICSen
dc.subjectR Medicineen
dc.subjectRadiological and Ultrasound Technologyen
dc.subjectHealth Informaticsen
dc.subjectRadiology Nuclear Medicine and imagingen
dc.subjectComputer Vision and Pattern Recognitionen
dc.subjectComputer Graphics and Computer-Aided Designen
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/M01311/1en
dc.subjectMR/K026992/1en
dc.subjectWellcome Trusten
dc.subject088134/Z/09/Aen
dc.subject.lccRen
dc.titleIdentification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance imagesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1016/j.compmedimag.2019.02.006
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85063342062&partnerID=8YFLogxKen
dc.identifier.urlhttp://www.mendeley.com/research/identification-presence-ischaemic-stroke-lesions-means-texture-analysis-brain-magnetic-resonance-imaen
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pubmed/30921550en
dc.identifier.vol74en


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