AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging ; volume:7 ; number:1 ; day:3 ; month:2 ; year:2024 ; pages:1-8 ; date:12.2024
npj digital medicine ; 7, Heft 1 (3.2.2024), 1-8, 12.2024
- Creator
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Miller, Robert J. H.
Shanbhag, Aakash
Killekar, Aditya
Lemley, Mark
Bednarski, Bryan
Kriekinge, Serge D. Van
Kavanagh, Paul B.
Feher, Attila
Miller, Edward J.
Einstein, Andrew J.
Ruddy, Terrence D.
Liang, Joanna X.
Builoff, Valerie
Berman, Daniel S.
Dey, Damini
Slomka, Piotr J.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41746-024-01020-z
- URN
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urn:nbn:de:101:1-2024041316135999839885
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Miller, Robert J. H.
- Shanbhag, Aakash
- Killekar, Aditya
- Lemley, Mark
- Bednarski, Bryan
- Kriekinge, Serge D. Van
- Kavanagh, Paul B.
- Feher, Attila
- Miller, Edward J.
- Einstein, Andrew J.
- Ruddy, Terrence D.
- Liang, Joanna X.
- Builoff, Valerie
- Berman, Daniel S.
- Dey, Damini
- Slomka, Piotr J.
- SpringerLink (Online service)