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Hyperparameter optimisation and validation of registration algorithms for measuring regional ventricular deformation using retrospective gated computed tomography images.
Razeghi, Orod; Heinrich, Mattias; Fastl, Thomas E; Corrado, Cesare; Karim, Rashed; De Vecchi, Adelaide; Banks, Tom; Donnelly, Patrick; Behar, Jonathan M; Gould, Justin; Rajani, Ronak; Rinaldi, Christopher A; Niederer, Steven.
Afiliação
  • Razeghi O; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. orod.razeghi@kcl.ac.uk.
  • Heinrich M; Insitute of Medical Informatics, University of Lübeck, Lübeck, Germany.
  • Fastl TE; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Corrado C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Karim R; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • De Vecchi A; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Banks T; Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Donnelly P; South Eastern Health and Social Care Trust, Dundonald, Belfast, UK.
  • Behar JM; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Gould J; Department of Electrophysiology, Barts Heart Centre, London, UK.
  • Rajani R; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Rinaldi CA; Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Niederer S; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Sci Rep ; 11(1): 5718, 2021 03 11.
Article em En | MEDLINE | ID: mdl-33707527
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article