1. Repositório Aberto da Universidade do Porto
  2. FEUP - Faculdade de Engenharia
  3. FEUP - Artigo em Revista Científica Internacional
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/111105
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DC FieldValueLanguage
dc.creatorYashbir Singh
dc.creatorDeepa
dc.creatorShi-Yi Wu
dc.creatorMichael Friebe
dc.creatorJoão Manuel R. S. Tavares
dc.creatorWeichih Hu
dc.date.accessioned2025-09-30T23:14:06Z-
dc.date.available2025-09-30T23:14:06Z-
dc.date.issued2018
dc.identifier.issn2373-129X
dc.identifier.othersigarra:257182
dc.identifier.urihttps://hdl.handle.net/10216/111105-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCiências Tecnológicas, Ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Engineering and technology
dc.titleCardiac Electrophysiology Studies Based on Image and Machine Learning
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.12691/jbet-6-1-1
dc.identifier.authenticusP-012-S6C
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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