Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models
- 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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Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models ; volume:50 ; number:10 ; day:6 ; month:5 ; year:2023 ; pages:3084-3096 ; date:8.2023
European journal of nuclear medicine and molecular imaging ; 50, Heft 10 (6.5.2023), 3084-3096, 8.2023
- Urheber
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Boeke, Simon
Winter, René M.
Leibfarth, Sara
Krueger, Marcel A.
Bowden, Gregory
Cotton, Jonathan
Pichler, Bernd J.
Zips, Daniel
Thorwarth, Daniela
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00259-023-06254-9
- URN
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urn:nbn:de:101:1-2023103111125088635623
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:50 MESZ
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Beteiligte
- Boeke, Simon
- Winter, René M.
- Leibfarth, Sara
- Krueger, Marcel A.
- Bowden, Gregory
- Cotton, Jonathan
- Pichler, Bernd J.
- Zips, Daniel
- Thorwarth, Daniela
- SpringerLink (Online service)
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