AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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
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
SpringerLink (Online service)

DOI
10.1038/s41746-024-01020-z
URN
urn:nbn:de:101:1-2024041316135999839885
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:53 AM CEST

Data provider

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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)

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