A deep learning-based whole-body solution for PET/MRI attenuation correction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2197-7364
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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A deep learning-based whole-body solution for PET/MRI attenuation correction ; volume:9 ; number:1 ; day:17 ; month:8 ; year:2022 ; pages:1-15 ; date:12.2022
EJNMMI Physics ; 9, Heft 1 (17.8.2022), 1-15, 12.2022
- Urheber
-
Ahangari, Sahar
Beck Olin, Anders
Kinggård Federspiel, Marianne
Jakoby, Bjoern
Andersen, Thomas Lund
Hansen, Adam Espe
Fischer, Barbara Malene
Littrup Andersen, Flemming
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
-
10.1186/s40658-022-00486-8
- URN
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urn:nbn:de:101:1-2022110421421865245647
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
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Beteiligte
- Ahangari, Sahar
- Beck Olin, Anders
- Kinggård Federspiel, Marianne
- Jakoby, Bjoern
- Andersen, Thomas Lund
- Hansen, Adam Espe
- Fischer, Barbara Malene
- Littrup Andersen, Flemming
- SpringerLink (Online service)
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