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Impact of deep learning image reconstructions (DLIR) on coronary artery calcium quantification.
Rossi, Alexia; Gennari, Antonio G; Etter, Dominik; Benz, Dominik C; Sartoretti, Thomas; Giannopoulos, Andreas A; Mikail, Nidaa; Bengs, Susan; Maurer, Alexander; Gebhard, Catherine; Buechel, Ronny R; Kaufmann, Philipp A; Fuchs, Tobias A; Messerli, Michael.
Afiliación
  • Rossi A; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland. alexia.rossi@usz.ch.
  • Gennari AG; Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland. alexia.rossi@usz.ch.
  • Etter D; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Benz DC; University of Zurich, Zurich, Switzerland.
  • Sartoretti T; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Giannopoulos AA; Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland.
  • Mikail N; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Bengs S; University of Zurich, Zurich, Switzerland.
  • Maurer A; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Gebhard C; University of Zurich, Zurich, Switzerland.
  • Buechel RR; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Kaufmann PA; University of Zurich, Zurich, Switzerland.
  • Fuchs TA; Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Messerli M; Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland.
Eur Radiol ; 33(6): 3832-3838, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36480026
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Aprendizaje Profundo Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Suiza
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Aprendizaje Profundo Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Suiza