Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging ; volume:14 ; number:1 ; day:4 ; month:9 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (4.9.2024), 1-11, 12.2024
- Urheber
-
Park, In-Seo
Kim, Seongheon
Jang, Jae-Won
Park, Sang-Won
Yeo, Na-Young
Seo, Soo Young
Jeon, Inyeop
Shin, Seung-Ho
Kim, Yoon
Choi, Hyun-Soo
Kim, Chulho
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-71072-4
- URN
-
urn:nbn:de:101:1-2411202144094.589740847470
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:29 MESZ
Datenpartner
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Beteiligte
- Park, In-Seo
- Kim, Seongheon
- Jang, Jae-Won
- Park, Sang-Won
- Yeo, Na-Young
- Seo, Soo Young
- Jeon, Inyeop
- Shin, Seung-Ho
- Kim, Yoon
- Choi, Hyun-Soo
- Kim, Chulho
- SpringerLink (Online service)
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