most citedData assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

math.NA2025★ 1 cited

Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

Francesco Romor, Felipe Galarce, Jan Brüning +2

Image-based, patient-specific modelling of hemodynamics can improve diagnostic capabilities and provide complementary insights to better understand the hemodynamic treatment outcom…

cs.CE2022

Impact of Turbulence Modeling on the Simulation of Blood Flow in Aortic Coarctation

Sarah Katz, Alfonso Caiazzo, Baptiste Moreau +4

Numerical simulations of pulsatile blood flow in an aortic coarctation require the use of turbulence modeling. This paper considers three models from the class of large eddy simula…