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Inference of ventricular activation properties from non-invasive electrocardiography.
Camps, Julia; Lawson, Brodie; Drovandi, Christopher; Minchole, Ana; Wang, Zhinuo Jenny; Grau, Vicente; Burrage, Kevin; Rodriguez, Blanca.
Afiliación
  • Camps J; Department of Computer Science, University of Oxford, Oxford, United Kingdom. Electronic address: julia.camps@cs.ox.ac.uk.
  • Lawson B; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology (QUT), Brisbane, Australia; QUT Centre for Data Science (CDS), Queensland University of Technology, Brisbane, Australia.
  • Drovandi C; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology (QUT), Brisbane, Australia; QUT Centre for Data Science (CDS), Queensland University of Technology, Brisbane, Australia.
  • Minchole A; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
  • Wang ZJ; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
  • Grau V; Institute of Biomedical Engineering (IBME), University of Oxford, Oxford, United Kingdom.
  • Burrage K; Department of Computer Science, University of Oxford, Oxford, United Kingdom; Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology (QUT), Brisbane, Australia.
  • Rodriguez B; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Med Image Anal ; 73: 102143, 2021 10.
Article en En | MEDLINE | ID: mdl-34271532
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electrocardiografía / Ventrículos Cardíacos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electrocardiografía / Ventrículos Cardíacos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article