Learning multi-site harmonization of magnetic resonance images without traveling human phantoms
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Learning multi-site harmonization of magnetic resonance images without traveling human phantoms ; volume:3 ; number:1 ; day:5 ; month:1 ; year:2024 ; pages:1-10 ; date:12.2024
Communications engineering ; 3, Heft 1 (5.1.2024), 1-10, 12.2024
- Urheber
-
Liu, Siyuan
Yap, Pew-Thian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s44172-023-00140-w
- URN
-
urn:nbn:de:101:1-2024031821413410290299
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
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Beteiligte
- Liu, Siyuan
- Yap, Pew-Thian
- SpringerLink (Online service)
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