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Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks

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dc.contributor.authorRachmadi, Muhammad Febrian
dc.contributor.authorValdés-Hernández, Maria Del C
dc.contributor.authorMakin, Stephen
dc.contributor.authorWardlaw, Joanna
dc.contributor.authorKomura, Taku
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.date.accessioned2020-07-08T16:10:02Z
dc.date.available2020-07-08T16:10:02Z
dc.date.issued2020-07
dc.descriptionFunds from the Indonesia Endowment Fund for Education (LPDP), Ministry of Finance, Republic of Indonesia (MFR); Row Fogo Charitable Trust (Grant No. BRO-D.FID3668413)(MCVH); Wellcome Trust (patient recruitment, scanning, primary study Ref No. WT088134/Z/09/A); Fondation Leducq (Perivascular Spaces Transatlantic Network of Excellence); EU Horizon 2020 (SVDs@Target); and the MRC UK Dementia Research Institute at the University of Edinburgh (Wardlaw programme) are gratefully acknowledged. The Titan Xp used for this research was donated by the NVIDIA Corporation.en
dc.description.statusPeer revieweden
dc.format.extent19
dc.format.extent5362370
dc.identifier171525401
dc.identifierfaeed455-9c3b-4942-aaf7-805e71d31d2b
dc.identifier32428823
dc.identifierPMC7294240
dc.identifier85084653087
dc.identifier000537839100017
dc.identifier.citationRachmadi, M F, Valdés-Hernández, M D C, Makin, S, Wardlaw, J & Komura, T 2020, 'Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks', Medical image analysis, vol. 63, 101712, pp. 101712. https://doi.org/10.1016/j.media.2020.101712en
dc.identifier.doi10.1016/j.media.2020.101712
dc.identifier.otherORCID: /0000-0001-8701-9043/work/76878021
dc.identifier.urihttps://hdl.handle.net/2164/14679
dc.identifier.urlhttp://europepmc.org/abstract/med/32428823en
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85084653087&partnerID=8YFLogxKen
dc.identifier.vol63en
dc.language.isoeng
dc.relation.ispartofMedical image analysisen
dc.subjectWhite matter hyperintensities (WMH)en
dc.subjectWMH Evolutionen
dc.subjectDisease evolution predictor (DEP) modelsen
dc.subjectDEP Generative adversarial network (DEP-GAN)en
dc.subjectSmall vessel disease (SVD)en
dc.subjectDEP U-Residual Network (DEP-UResNet)en
dc.subjectREGRESSIONen
dc.subjectSMALL VESSEL DISEASEen
dc.subjectCOGNITIVE CONSEQUENCESen
dc.subjectRISK-FACTORSen
dc.subjectVOLUMEen
dc.subjectIMAGESen
dc.subjectDYNAMICSen
dc.subjectSTROKE LESION SEGMENTATIONen
dc.subjectPROGRESSIONen
dc.subjectINSIGHTSen
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.subject.lccRen
dc.titleAutomatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networksen
dc.typeJournal articleen

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