Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2191-219X
- Extent
-
Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
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
- Creator
-
Armanious, Karim
Hepp, Tobias
Küstner, Thomas
Dittmann, Helmut
Nikolaou, Konstantin
Fougère, Christian La
Yang, Bin
Gatidis, Sergios
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13550-020-00644-y
- URN
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urn:nbn:de:101:1-2020072920535229017637
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
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Associated
- Armanious, Karim
- Hepp, Tobias
- Küstner, Thomas
- Dittmann, Helmut
- Nikolaou, Konstantin
- Fougère, Christian La
- Yang, Bin
- Gatidis, Sergios
- SpringerLink (Online service)
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