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Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine.
Yevtushenko, Pavlo; Goubergrits, Leonid; Franke, Benedikt; Kuehne, Titus; Schafstedde, Marie.
Affiliation
  • Yevtushenko P; Deutsches Herzzentrum der Charité (DHZC), Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany.
  • Goubergrits L; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Franke B; Deutsches Herzzentrum der Charité (DHZC), Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany.
  • Kuehne T; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Schafstedde M; Einstein Center Digital Future, Berlin, Germany.
Front Cardiovasc Med ; 10: 1136935, 2023.
Article in En | MEDLINE | ID: mdl-36937926
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Front Cardiovasc Med Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Front Cardiovasc Med Year: 2023 Document type: Article Affiliation country: Country of publication: