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Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders.
van de Leur, Rutger R; Bos, Max N; Taha, Karim; Sammani, Arjan; Yeung, Ming Wai; van Duijvenboden, Stefan; Lambiase, Pier D; Hassink, Rutger J; van der Harst, Pim; Doevendans, Pieter A; Gupta, Deepak K; van Es, René.
Afiliación
  • van de Leur RR; Department of Cardiology, University Medical Center Utrecht, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
  • Bos MN; Netherlands Heart Institute, Moreelsepark 1, 3511 EP Utrecht, The Netherlands.
  • Taha K; Department of Cardiology, University Medical Center Utrecht, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
  • Sammani A; Informatics Institute, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
  • Yeung MW; Department of Cardiology, University Medical Center Utrecht, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
  • van Duijvenboden S; Netherlands Heart Institute, Moreelsepark 1, 3511 EP Utrecht, The Netherlands.
  • Lambiase PD; Department of Cardiology, University Medical Center Utrecht, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
  • Hassink RJ; Department of Cardiology, University Medical Center Groningen, Hanzeplein 1. 9713 GZ Groningen, The Netherlands.
  • van der Harst P; Institute of Cardiovascular Science, University College London, 62 Huntley St, London Wc1E 6Dd, UK.
  • Doevendans PA; Institute of Cardiovascular Science, University College London, 62 Huntley St, London Wc1E 6Dd, UK.
  • Gupta DK; Department of Cardiology, University Medical Center Utrecht, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
  • van Es R; Department of Cardiology, University Medical Center Utrecht, Internal ref E03.511, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
Eur Heart J Digit Health ; 3(3): 390-404, 2022 Sep.
Article en En | MEDLINE | ID: mdl-36712164
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Eur Heart J Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Eur Heart J Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos