A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction ; volume:12 ; number:1 ; day:22 ; month:10 ; year:2022 ; pages:1-16 ; date:12.2022
Scientific reports ; 12, Heft 1 (22.10.2022), 1-16, 12.2022
- Creator
-
Wu, Yunan
Besson, Pierre
Azcona, Emanuel A.
Bandt, S. Kathleen
Parrish, Todd B.
Breiter, Hans C.
Katsaggelos, Aggelos K.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-22313-x
- URN
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urn:nbn:de:101:1-2023010621044272827919
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
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Associated
- Wu, Yunan
- Besson, Pierre
- Azcona, Emanuel A.
- Bandt, S. Kathleen
- Parrish, Todd B.
- Breiter, Hans C.
- Katsaggelos, Aggelos K.
- SpringerLink (Online service)
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