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dc.contributor.authorBuccino, Alessio Paolo
dc.contributor.authorNess, Torbjørn V
dc.contributor.authorEinevoll, Gaute
dc.contributor.authorCauwenberghs, Gert
dc.contributor.authorHäfliger, Philipp
dc.date.accessioned2021-12-09T10:45:58Z
dc.date.available2021-12-09T10:45:58Z
dc.date.created2019-01-24T14:49:50Z
dc.date.issued2018
dc.identifier.citation40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 999-1002en_US
dc.identifier.isbn9781538636473
dc.identifier.issn1558-4615
dc.identifier.urihttps://hdl.handle.net/11250/2833558
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofAnnual Conference of the IEEE Engineering in Medicine and Biology Society
dc.titleA Deep Learning Approach for the Classification of Neuronal Cell Typesen_US
dc.typeAcademic articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderIEEEen_US
dc.source.pagenumber999-1002en_US
dc.identifier.doi10.1109/EMBC.2018.8512498
dc.identifier.cristin1664563
cristin.unitcode192,15,6,0
cristin.unitnameSeksjon for realfag og teknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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