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)

76
checked on Jun 23, 2025

Download(s)

15
checked on Jun 23, 2025

Google ScholarTM

Check


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