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

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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 Artikel 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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