Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset ; volume:33 ; number:8 ; day:16 ; month:3 ; year:2023 ; pages:5882-5893 ; date:8.2023
European radiology ; 33, Heft 8 (16.3.2023), 5882-5893, 8.2023
- Urheber
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Schlaeger, Sarah
Drummer, Katharina
El Husseini, Malek
Kofler, Florian
Sollmann, Nico
Schramm, Severin
Zimmer, Claus
Wiestler, Benedikt
Kirschke, Jan
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00330-023-09512-4
- URN
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urn:nbn:de:101:1-2023100508563241662753
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:53 MESZ
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Beteiligte
- Schlaeger, Sarah
- Drummer, Katharina
- El Husseini, Malek
- Kofler, Florian
- Sollmann, Nico
- Schramm, Severin
- Zimmer, Claus
- Wiestler, Benedikt
- Kirschke, Jan
- SpringerLink (Online service)
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