dc.contributor.author |
Wiesen, Daniel |
|
dc.contributor.author |
Sperber, Christoph |
|
dc.contributor.author |
Karnath, Hans-Otto |
|
dc.date.accessioned |
2020-07-28T09:33:20Z |
|
dc.date.available |
2020-07-28T09:33:20Z |
|
dc.date.issued |
2019 |
|
dc.identifier.issn |
1095-9572 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/104096 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Academic Press Inc Elsevier Science |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1016/j.neuroimage.2019.07.013 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Using machine learning-based lesion behavior mapping to identify anatomical networks of cognitive dysfunction : Spatial neglect and attention |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20200409032300_00791 |
|
utue.personen.roh |
Wiesen, Daniel |
|
utue.personen.roh |
Sperber, Christoph |
|
utue.personen.roh |
Yourganov, Grigori |
|
utue.personen.roh |
Rorden, Christopher |
|
utue.personen.roh |
Karnath, Hans-Otto |
|
dcterms.isPartOf.ZSTitelID |
Neuroimage |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article UNSP 116000 |
de_DE |
dcterms.isPartOf.ZS-Volume |
201 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |