Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2041-1723
- 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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Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction ; volume:13 ; number:1 ; day:6 ; month:10 ; year:2022 ; pages:1-9 ; date:12.2022
Nature Communications ; 13, Heft 1 (6.10.2022), 1-9, 12.2022
- Urheber
-
Guo, Rui
Xue, Song
Hu, Jiaxi
Sari, Hasan
Mingels, Clemens
Zeimpekis, Konstantinos
Prenosil, George
Wang, Yue
Zhang, Yu
Viscione, Marco
Sznitman, Raphael
Rominger, Axel
Li, Biao
Shi, Kuangyu
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41467-022-33562-9
- URN
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urn:nbn:de:101:1-2022122509173676448974
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
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Beteiligte
- Guo, Rui
- Xue, Song
- Hu, Jiaxi
- Sari, Hasan
- Mingels, Clemens
- Zeimpekis, Konstantinos
- Prenosil, George
- Wang, Yue
- Zhang, Yu
- Viscione, Marco
- Sznitman, Raphael
- Rominger, Axel
- Li, Biao
- Shi, Kuangyu
- SpringerLink (Online service)
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