Spectral Clustering Predicts Tumor Tissue Heterogeneity Using Dynamic F-18-FDG PET: A Complement to the Standard Compartmental Modeling Approach

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dc.contributor.author Katiyar, Prateek
dc.contributor.author Disselhorst, Jonathan A.
dc.contributor.author Divine, Mathew Ryan
dc.contributor.author Quintanilla-Martinez, Leticia
dc.contributor.author Schölkopf, Bernhard
dc.contributor.author Pichler, Bernd
dc.date.accessioned 2018-02-21T15:38:16Z
dc.date.available 2018-02-21T15:38:16Z
dc.date.issued 2017
dc.identifier.issn 1535-5667
dc.identifier.uri http://hdl.handle.net/10900/80719
dc.language.iso en de_DE
dc.publisher Soc Nuclear Medicine Inc de_DE
dc.relation.uri http://dx.doi.org/10.2967/jnumed.116.181370 de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 610 de_DE
dc.title Spectral Clustering Predicts Tumor Tissue Heterogeneity Using Dynamic F-18-FDG PET: A Complement to the Standard Compartmental Modeling Approach de_DE
dc.type Artikel de_DE
utue.quellen.id 20170815222223_01313
utue.publikation.seiten 651-657 de_DE
utue.personen.roh Katiyar, Prateek
utue.personen.roh Divine, Mathew R.
utue.personen.roh Kohlhofer, Ursula
utue.personen.roh Quintanilla-Martinez, Leticia
utue.personen.roh Schoelkopf, Bernhard
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 4 de_DE
dcterms.isPartOf.ZS-Volume 58 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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