Automated segmentation and volumetric analysis of renal cortex, medulla, and pelvis based on non-contrast-enhanced T1- and T2-weighted MR images

Will, Susanne; Martirosian, Petros; Wuerslin, Christian; Schick, Fritz

dc.contributor.author	Will, Susanne
dc.contributor.author	Martirosian, Petros
dc.contributor.author	Schick, Fritz
dc.contributor.author	Würslin, Christian
dc.date.accessioned	2015-02-18T12:50:32Z
dc.date.available	2015-02-18T12:50:32Z
dc.date.issued	2014
dc.identifier.issn	0968-5243
dc.identifier.uri	http://hdl.handle.net/10900/59455
dc.language.iso	en	en
dc.publisher	Springer	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s10334-014-0429-4	de_DE
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	610	de_DE
dc.title	Automated segmentation and volumetric analysis of renal cortex, medulla, and pelvis based on non-contrast-enhanced T1- and T2-weighted MR images	de_DE
dc.type	Article	de_DE
utue.quellen.id	20150115224006_00737	de_DE
utue.publikation.seiten	445-454	de_DE
utue.personen.roh	Will, Susanne
utue.personen.roh	Martirosian, Petros
utue.personen.roh	Wuerslin, Christian
utue.personen.roh	Schick, Fritz
dcterms.isPartOf.ZSTitelID	Magnetic Resonance Materials in Physics Biology and Medicine	de_DE
dcterms.isPartOf.ZS-Issue	5	de_DE
dcterms.isPartOf.ZS-Volume	27	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE