Deep learning-based prediction of major arrhythmic events in dilated cardiomyopathy: A proof of concept study

• Mattia Corianò ,

  Contributed equally to this work with: Mattia Corianò, Corrado Lanera

  Roles Data curation, Investigation, Methodology, Writing – original draft

  Affiliation Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova, Italy

  https://orcid.org/0000-0002-4583-280X

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• Corrado Lanera ,

  Contributed equally to this work with: Mattia Corianò, Corrado Lanera

  Roles Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

  Affiliation Department of Cardiac Thoracic Vascular Sciences and Public Health, UBEP, Padova, Italy

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• Laura De Michieli,

  Roles Data curation

  Affiliation Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova, Italy

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• Martina Perazzolo Marra,

  Roles Supervision, Visualization

  Affiliation Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova, Italy

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• Sabino Iliceto,

  Roles Funding acquisition, Resources

  Affiliation Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova, Italy

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• Dario Gregori,

  Roles Supervision, Visualization

  Affiliation Department of Cardiac Thoracic Vascular Sciences and Public Health, UBEP, Padova, Italy

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• Francesco Tona

  Roles Methodology, Project administration, Supervision, Visualization, Writing – review & editing

  * E-mail: francesco.tona@unipd.it

  Affiliation Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova, Italy

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