36 citations · 51 across the 7 of their papers we have counts for
4 papers · 1 filter
Data assimilation of flow MRI data into RANS models with algebraic closures
C. Namuroy, M. P. Juniper, P. Nair +4
We adopt the Bayesian inference framework to solve an inverse Reynolds-Averaged Navier-Stokes (RANS) problem for the approximate posterior probability distribution of the turbulenc…
Bayesian inference of mean velocity fields and turbulence models from flow MRI
A. Kontogiannis, P. Nair, M. Loecher +3
We solve a Bayesian inverse Reynolds-averaged Navier-Stokes (RANS) problem that assimilates mean flow data by jointly reconstructing the mean flow field and learning its unknown RA…
Hemodynamic Effects of Entry and Exit Tear Size in Aortic Dissection Evaluated with In Vitro Magnetic Resonance Imaging and Fluid-Structure Interaction Simulation
Judith Zimmermann, Kathrin Bäumler, Michael Loecher +4
Understanding the complex interplay between morphologic and hemodynamic features in aortic dissection is critical for risk stratification and for the development of individualized…
Quantitative Hemodynamics in Aortic Dissection: Comparing in vitro MRI with FSI Simulation in a Compliant Model
Judith Zimmermann, Kathrin Baeumler, Michael Loecher +6
The analysis of quantitative hemodynamics and luminal pressure may add valuable information to aid treatment strategies and prognosis for aortic dissections. This work directly com…