Funder
H2020 Marie Skłodowska-Curie Actions
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Biomedical Engineering
Reference37 articles.
1. Capellini, K., E. Vignali, E. Costa, E. Gasparotti, M. E. Biancolini, L. Landini, V. Positano, and S. Celi. Computational fluid dynamic study for aTAA hemodynamics: an integrated image-based and radial basis functions mesh morphing approach. J. Biomech. Eng. 140(11):111007, 2018.
2. Capellini, K., E. Gasparotti, U. Cella, E. Costa, B. M. Fanni, C. Groth, S. Porziani, M. E. Biancolini, and S. Celi. A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data. Med. Eng. Phys. 91:68–78, 2021.
3. Gallo, D., G. De Santis, F. Negri, D. Tresoldi, R. Ponzini, D. Massai, M. A. Deriu, P. Segers, B. Verhegghe, G. Rizzo, and U. Morbiducci. On the use of in vivo measured flow rates as boundary conditions for image-based hemodynamic models of the human aorta: Implications for indicators of abnormal flow. Ann. Biomed. Eng. 40(3):729–741, 2012.
4. Morbiducci, U., R. Ponzini, D. Gallo, C. Bignardi, and G. Rizzo. Inflow boundary conditions for image-based computational hemodynamics: impact of idealized versus measured velocity profiles in the human aorta. J. Biomech. 46(1):102–109, 2013.
5. Boccadifuoco, A., A. Mariotti, S. Celi, N. Martini, and M. V. Salvetti. Impact of uncertainties in outflow boundary conditions on the predictions of hemodynamic simulations of ascending thoracic aortic aneurysms. Comput. Fluids. 165:96–115, 2018.