Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2041-1723

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Creator: 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

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41467-022-33562-9

URN: urn:nbn:de:101:1-2022122509173676448974

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2002, 7:20 AM CEST

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Associated

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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Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction

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