Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters

Pierfrancesco Siena, Michele Girfoglio, Francesco Ballarin, Gianluigi Rozza

Research output: Contribution to journal › Article

Fingerprint

Dive into the research topics of 'Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters'. Together they form a unique fingerprint.

Nursing and Health Professions

Immunology and Microbiology

Physics

Mathematics

Computer Science