A Population-Based Gaussian Mixture Model Incorporating F-18-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue Classes

dc.contributor.author	Divine, Mathew Ryan
dc.contributor.author	Katiyar, Prateek
dc.contributor.author	Kohlhofer, Ursula
dc.contributor.author	Quintanilla-Martinez, Leticia
dc.contributor.author	Pichler, Bernd
dc.contributor.author	Disselhorst, Jonathan A.
dc.date.accessioned	2017-03-22T16:02:19Z
dc.date.available	2017-03-22T16:02:19Z
dc.date.issued	2016
dc.identifier.issn	1535-5667
dc.identifier.uri	http://hdl.handle.net/10900/75362
dc.language.iso	en	en
dc.publisher	Soc Nuclear Medicine Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.2967/jnumed.115.163972
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	610	de_DE
dc.title	A Population-Based Gaussian Mixture Model Incorporating F-18-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue Classes	de_DE
dc.type	Article	de_DE
utue.quellen.id	20160915142648_01531
utue.publikation.seiten	473-479	de_DE
utue.personen.roh	Divine, Mathew R.
utue.personen.roh	Katiyar, Prateek
utue.personen.roh	Kohlhofer, Ursula
utue.personen.roh	Quintanilla-Martinez, Leticia
utue.personen.roh	Pichler, Bernd J.
utue.personen.roh	Disselhorst, Jonathan A.
dcterms.isPartOf.ZSTitelID	Journal of Nuclear Medicine	de_DE
dcterms.isPartOf.ZS-Issue	3	de_DE
dcterms.isPartOf.ZS-Volume	57	de_DE
utue.fakultaet	04 Medizinische Fakultät
utue.fakultaet	Sonstige

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