3 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects
Fanwei Kong, Sascha Stocker, Perry S. Choi +3
Congenital heart disease (CHD) encompasses a spectrum of cardiovascular structural abnormalities, often requiring customized treatment plans for individual patients. Computational…
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…