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Performance comparison of automated white matter lesion segmentation algorithms in the DELCODE Study

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dc.bibliographiccitation.issueS5
dc.bibliographiccitation.journalAlzheimer's & Dementia
dc.bibliographiccitation.volume16
dc.contributor.authorGaubert, Malo
dc.contributor.authorZimmermann, Isabella
dc.contributor.authorLange, Catharina
dc.contributor.authorDyrba, Martin
dc.contributor.authorLi, Hongwei
dc.contributor.authorDuering, Marco
dc.contributor.authorZiegler, Gabriel
dc.contributor.authorTeipel, Stefan J.
dc.contributor.authorPeters, Oliver
dc.contributor.authorPriller, Josef
dc.contributor.authorWirth, Miranka
dc.contributor.authorgroupthe DELCODE Study Group
dc.date.accessioned2021-12-08T12:29:54Z
dc.date.available2021-12-08T12:29:54Z
dc.date.issued2020
dc.identifier.doi10.1002/alz.045367
dc.identifier.urihttps://resolver.sub.uni-goettingen.de/purl?gro-2/96254
dc.language.isoen
dc.notes.internDOI-Import GROB-476
dc.relation.eissn1552-5279
dc.relation.issn1552-5260
dc.rights.urihttp://onlinelibrary.wiley.com/termsAndConditions#vor
dc.titlePerformance comparison of automated white matter lesion segmentation algorithms in the DELCODE Study
dc.title.alternativeNeuroimaging / Optimal neuroimaging measures for early detection
dc.typejournal_article
dc.type.internalPublicationyes
dspace.entity.typePublication

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