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Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

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dc.bibliographiccitation.artnumberS2213158221002096
dc.bibliographiccitation.firstpage102765
dc.bibliographiccitation.journalNeuroImage: Clinical
dc.bibliographiccitation.volume31
dc.contributor.authorGleichgerrcht, Ezequiel
dc.contributor.authorMunsell, Brent C.
dc.contributor.authorAlhusaini, Saud
dc.contributor.authorAlvim, Marina K.M.
dc.contributor.authorBargalló, Núria
dc.contributor.authorBender, Benjamin
dc.contributor.authorBernasconi, Andrea
dc.contributor.authorBernasconi, Neda
dc.contributor.authorBernhardt, Boris
dc.contributor.authorWiest, Roland
dc.date.accessioned2021-08-12T07:46:22Z
dc.date.available2021-08-12T07:46:22Z
dc.date.issued2021
dc.identifier.doi10.1016/j.nicl.2021.102765
dc.identifier.piiS2213158221002096
dc.identifier.urihttps://resolver.sub.uni-goettingen.de/purl?gro-2/88691
dc.language.isoen
dc.notes.internDOI Import GROB-448
dc.relation.issn2213-1582
dc.titleArtificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study
dc.typejournal_article
dc.type.internalPublicationyes
dspace.entity.typePublication

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