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Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks.
Meister, Felix; Passerini, Tiziano; Audigier, Chloé; Lluch, Èric; Mihalef, Viorel; Ashikaga, Hiroshi; Maier, Andreas; Halperin, Henry; Mansi, Tommaso.
Afiliación
  • Meister F; Pattern Recognition Lab, Friedrich-Alexander University, Erlangen, Germany.
  • Passerini T; Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany.
  • Audigier C; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, United States.
  • Lluch È; Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany.
  • Mihalef V; Digital Technology and Innovation, Siemens Healthineers, Erlangen, Germany.
  • Ashikaga H; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, United States.
  • Maier A; Cardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Halperin H; Pattern Recognition Lab, Friedrich-Alexander University, Erlangen, Germany.
  • Mansi T; Cardiac Arrhythmia Service, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Front Physiol ; 12: 694869, 2021.
Article en En | MEDLINE | ID: mdl-34733172
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Physiol Año: 2021 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Physiol Año: 2021 Tipo del documento: Article País de afiliación: Alemania