Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2191-219X
- Umfang
-
Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks ; volume:10 ; number:1 ; day:24 ; month:5 ; year:2020 ; pages:1-9 ; date:12.2020
EJNMMI Research ; 10, Heft 1 (24.5.2020), 1-9, 12.2020
- Urheber
-
Armanious, Karim
Hepp, Tobias
Küstner, Thomas
Dittmann, Helmut
Nikolaou, Konstantin
Fougère, Christian La
Yang, Bin
Gatidis, Sergios
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13550-020-00644-y
- URN
-
urn:nbn:de:101:1-2020072920535229017637
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
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Beteiligte
- Armanious, Karim
- Hepp, Tobias
- Küstner, Thomas
- Dittmann, Helmut
- Nikolaou, Konstantin
- Fougère, Christian La
- Yang, Bin
- Gatidis, Sergios
- SpringerLink (Online service)
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