Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17463
DC FieldValueLanguage
dc.contributor.authorTenev, Aleksandaren_US
dc.contributor.authorKalajdziski, Slobodanen_US
dc.contributor.authorGjorgjevikj, Dejanen_US
dc.contributor.authorKocarev, Ljupcoen_US
dc.contributor.authorVietac, Eduarden_US
dc.contributor.authorPopovic, Dinaen_US
dc.contributor.authorPintor, Luisen_US
dc.contributor.authorVilloslada, Pabloen_US
dc.contributor.authorPrčkovska, Vesnaen_US
dc.date.accessioned2022-04-19T09:57:52Z-
dc.date.available2022-04-19T09:57:52Z-
dc.date.issued2014-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/17463-
dc.relation.ispartofPoster at 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM)en_US
dc.titleConnectomics based multi-modal graph measures in bipolar disorderen_US
dc.typeArticleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
Files in This Item:
File Description SizeFormat 
Connectomics_based_multi-modal_graph_measures_in_b.pdf750.88 kBAdobe PDFView/Open
Show simple item record

Page view(s)

45
checked on Jul 24, 2024

Download(s)

7
checked on Jul 24, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.