MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis ; volume:13 ; number:1 ; day:31 ; month:10 ; year:2023 ; pages:1-9 ; date:12.2023
Scientific reports ; 13, Heft 1 (31.10.2023), 1-9, 12.2023

Creator: Hardy-Werbin, Max
Maiques, José Maria
Busto, Marcos
Cirera, Isabel
Aguirre, Alfons
Garcia-Gisbert, Nieves
Zuccarino, Flavio
Carbullanca, Santiago
Carpio, Luis Alexander Del
Ramal, Didac
Gayete, Ángel
Martínez-Roldan, Jordi
Marquez-Colome, Albert
Bellosillo, Beatriz
Gibert, Joan

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-46126-8

URN: urn:nbn:de:101:1-2024011721074398720800

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Associated

Hardy-Werbin, Max
Maiques, José Maria
Busto, Marcos
Cirera, Isabel
Aguirre, Alfons
Garcia-Gisbert, Nieves
Zuccarino, Flavio
Carbullanca, Santiago
Carpio, Luis Alexander Del
Ramal, Didac
Gayete, Ángel
Martínez-Roldan, Jordi
Marquez-Colome, Albert
Bellosillo, Beatriz
Gibert, Joan
SpringerLink (Online service)

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MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis

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Other Objects (12)

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