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dc.contributor.author
Feis, Delia-Lisa
dc.contributor.author
Brodersen, Kay H.
dc.contributor.author
von Cramon, D. Yves
dc.contributor.author
Luders, Eileen
dc.contributor.author
Tittgemeyer, Marc
dc.date.accessioned
2017-06-19T15:30:25Z
dc.date.available
2017-06-19T15:30:25Z
dc.date.issued
2013
dc.identifier.issn
1053-8119
dc.identifier.issn
1095-9572
dc.identifier.other
10.1016/j.neuroimage.2012.12.068
dc.identifier.uri
http://hdl.handle.net/20.500.11850/163689
dc.language.iso
en
dc.publisher
Elsevier
dc.subject
Gender dimorphism
dc.subject
Multivariate pattern analysis
dc.subject
Classification
dc.subject
Feature selection
dc.subject
Multimodal imaging
dc.subject
Decoding
dc.title
Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data
dc.type
Journal Article
ethz.journal.title
NeuroImage
ethz.journal.volume
70
ethz.journal.abbreviated
NeuroImage
ethz.pages.start
250
ethz.pages.end
257
ethz.notes
Accepted 28 December 2012, Available online 5 January 2013.
ethz.identifier.nebis
001638029
ethz.publication.place
Amsterdam
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.date.deposited
2017-06-19T15:32:32Z
ethz.source
ECIT
ethz.identifier.importid
imp593651464da8624135
ethz.ecitpid
pub:119420
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-08-03T10:28:58Z
ethz.rosetta.lastUpdated
2018-11-05T12:21:28Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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