36 citations · 51 across the 7 of their papers we have counts for
7 papers
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…
Image-Based Whole-Heart Cardiac Flow Simulations in Health and Congenital Heart Disease
Fanwei Kong, Aaron Brown, Michael Loecher +5
Intracardiac flow patterns are shaped by the coupled motion of the cardiac chambers and heart valves and provide important information about cardiac function. However, clinical flo…
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…
On the Foundation Model for Cardiac MRI Reconstruction
Chi Zhang, Michael Loecher, Cagan Alkan +3
In recent years, machine learning (ML) based reconstruction has been widely investigated and employed in cardiac magnetic resonance (CMR) imaging. ML-based reconstructions can deli…
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…
CG-SENSE revisited: Results from the first ISMRM reproducibility challenge
Oliver Maier, Steven H. Baete, Alexander Fyrdahl +11
Purpose: The aim of this work is to shed light on the issue of reproducibility in MR image reconstruction in the context of a challenge. Participants had to recreate the results of…