Independent brain F-18-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks

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dc.contributor.author Armanious, Karim
dc.contributor.author Küstner, Thomas
dc.contributor.author Reimold, Matthias
dc.contributor.author Nikolaou, Konstantin
dc.contributor.author La Fougère, Christian Jean
dc.contributor.author Gatidis, Sergios
dc.date.accessioned 2020-08-17T11:10:24Z
dc.date.available 2020-08-17T11:10:24Z
dc.date.issued 2019
dc.identifier.issn 1790-5427
dc.identifier.uri http://hdl.handle.net/10900/104984
dc.language.iso en de_DE
dc.publisher Hellenic Soc Nuclear Medicine de_DE
dc.subject.ddc 610 de_DE
dc.title Independent brain F-18-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks de_DE
dc.type Article de_DE
utue.quellen.id 20200409032300_01461
utue.publikation.seiten 179-186 de_DE
utue.personen.roh Armanious, Karim
utue.personen.roh Kuestner, Thomas
utue.personen.roh Reimold, Matthias
utue.personen.roh Nikolaou, Konstantin
utue.personen.roh La Fougere, Christian
utue.personen.roh Yang, Bin
utue.personen.roh Gatidis, Sergios
dcterms.isPartOf.ZSTitelID Hellenic Journal of Nuclear Medicine de_DE
dcterms.isPartOf.ZS-Issue 3 de_DE
dcterms.isPartOf.ZS-Volume 22 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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