Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural networks

P Siena, M Girfoglio, G Rozza - … order models for the biomechanics of living …, 2023 - Elsevier
In this work, a non-intrusive data-driven ROM based on a POD–ANN approach is developed
for fast and reliable numerical simulation of blood flow patterns occurring in a patient …
被引用次数：13 相关文章

Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network

P Siena, M Girfoglio, G Rozza - arXiv preprint arXiv:2201.01804, 2022 - arxiv.org
In this work a machine learning-based Reduced Order Model (ROM) is developed to
investigate in a rapid and reliable way the hemodynamic patterns in a patient-specific …

Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural networks

P Siena, M Girfoglio, G Rozza - Reduced Order Models for the …, 2023 - books.google.com
Coronary artery diseases represent one of the most common causes of mortality worldwide.
When coronary arteries are completely or partially occluded due to the presence of stenosis …

Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network

P Siena, M Girfoglio, G Rozza - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
In this work a machine learning-based Reduced Order Model (ROM) is developed to
investigate in a rapid and reliable way the hemodynamic patterns in a patient-specific …
[PDF] academia.edu

[PDF][PDF] FAST AND ACCURATE NUMERICAL SIMULATIONS FOR THE STUDY OF CORONARY ARTERY BYPASS GRAFTS BY ARTIFICIAL NEURAL NETWORK

P Siena, M Girfoglio, G Rozza - arXiv preprint arXiv:2201.01804, 2022 - academia.edu
FFD Free form deformation FOM Full order model FV Finite volume LAD Left anterior
descending artery LCx Left circumflex artery LITA Left internal thoracic artery LMCA Left …