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Hierarchical Bayesian myocardial perfusion quantification.
Scannell, Cian M; Chiribiri, Amedeo; Villa, Adriana D M; Breeuwer, Marcel; Lee, Jack.
Afiliação
  • Scannell CM; School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom; The Alan Turing Institute London, United Kingdom. Electronic address: cian.scannell@kcl.ac.uk.
  • Chiribiri A; School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom. Electronic address: amedeo.chiribiri@kcl.ac.uk.
  • Villa ADM; School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom. Electronic address: driana.villa@kcl.ac.uk.
  • Breeuwer M; Philips Healthcare, Best, the Netherlands; Department of Biomedical Engineering, Medical Image Analysis group, Eindhoven University of Technology, Eindhoven, the Netherlands. Electronic address: marcel.breeuwer@philips.com.
  • Lee J; School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom. Electronic address: jack.lee@kcl.ac.uk.
Med Image Anal ; 60: 101611, 2020 02.
Article em En | MEDLINE | ID: mdl-31760191
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Imageamento por Ressonância Magnética / Teorema de Bayes / Circulação Coronária Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Imageamento por Ressonância Magnética / Teorema de Bayes / Circulação Coronária Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article