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Validation and comparison of two automated methods to quantify brain white matter hyperintensities of presumed vascular origin

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dc.contributor.authorWaymont, Jennifer M. J.
dc.contributor.authorPetsa, Chariklia
dc.contributor.authorMcNeil, Chris J.
dc.contributor.authorMurray, Alison D.
dc.contributor.authorWaiter, Gordon D.
dc.contributor.institutionUniversity of Aberdeen.Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Applied Medicineen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Biomedical Imaging Centreen
dc.date.accessioned2021-09-13T12:41:01Z
dc.date.available2021-09-13T12:41:01Z
dc.date.issued2020-02-01
dc.descriptionFunding Data collection was funded by grants from the Alzheimer’s Research Trust (now Alzheimer’s Research UK, grant reference: ART/SPG2003B), Alzheimer’s Research UK (grant reference: ARUK-SB2012B-2), the University of Aberdeen Development Trust (grant reference RGB3109) and NHS Grampian and the Chief Scientist’s Office (grant reference: CAF/08/08). JMJW is funded by the University of Aberdeen Development Trust and TauRx Therapeutics Ltd. CP is funded by Royal Surrey County Hospital NHS Foundation Trust. CJM, ADM, and GDW are funded by the Scottish Funding Council.en
dc.description.statusPeer revieweden
dc.format.extent12
dc.format.extent854532
dc.identifier147750962
dc.identifier81ebcb0e-5dfa-4115-80fa-ba0e2302027a
dc.identifier31612759
dc.identifier000491509200001
dc.identifier85094830459
dc.identifier.citationWaymont, J M J, Petsa, C, McNeil, C J, Murray, A D & Waiter, G D 2020, 'Validation and comparison of two automated methods to quantify brain white matter hyperintensities of presumed vascular origin', Journal of International Medical Research, vol. 48, no. 2, pp. 1-12. https://doi.org/10.1177/0300060519880053en
dc.identifier.doi10.1177/0300060519880053
dc.identifier.iss2en
dc.identifier.issn0300-0605
dc.identifier.otherORCID: /0000-0001-6688-7132/work/95106507
dc.identifier.otherORCID: /0000-0002-5313-9845/work/64218644
dc.identifier.otherORCID: /0000-0003-4915-4847/work/76976615
dc.identifier.otherORCID: /0000-0001-6688-7132/work/96652520
dc.identifier.otherORCID: /0000-0001-6688-7132/work/95106507
dc.identifier.urihttps://hdl.handle.net/2164/17058
dc.identifier.vol48en
dc.language.isoeng
dc.relation.ispartofJournal of International Medical Researchen
dc.subjectwhite matter hyperintensityen
dc.subjectlesion segmentationen
dc.subjectcerebral small vessel diseaseen
dc.subjectbrain ageingen
dc.subjectmethodologyen
dc.subjectvalidationen
dc.subjectWhite matter hyperintensityen
dc.subjectLESION SEGMENTATIONen
dc.subjectbrain agingen
dc.subjectRATING-SCALEen
dc.subjectR Medicine (General)en
dc.subjectChief Scientist Office (CSO)en
dc.subjectCAF/08/08en
dc.subjectAlzheimers Research UKen
dc.subjectART/SPG2003Ben
dc.subjectARUK-SB2012B-2en
dc.subjectOtheren
dc.subjectRGB3109en
dc.subject.lccR1en
dc.titleValidation and comparison of two automated methods to quantify brain white matter hyperintensities of presumed vascular originen
dc.typeJournal articleen

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