2 citations · 2 across the 4 of their papers we have counts for
5 papers
Scalable High-Dimensional Bayesian Field Reconstruction with Finite Elements: Application to 3D Porous Media Flow
Jonas Nitzler, Maximilian Bergbauer, Phaedon-Stelios Koutsourelakis +1
We present a unified, finite-element-native variational inference framework for very high-dimensional Bayesian spatial field reconstruction in physics-based problems governed by pa…
Patient-specific prediction of regional lung mechanics in ARDS patients with physics-based models: a validation study
Maximilian Rixner, Maximilian Ludwig, Matthias Lindner +9
The choice of lung protective ventilation settings for mechanical ventilation has a considerable impact on patient outcome, yet identifying optimal ventilatory settings for individ…
Patient-specific coronary angioplasty simulations -- a mixed-dimensional finite element modeling approach
Janina C. Datz, Ivo Steinbrecher, Christoph Meier +6
Coronary angioplasty with stent implantation is the most frequently used interventional treatment for coronary artery disease. However, reocclusion within the stent, referred to as…
Bayesian Windkessel calibration using optimized 0D surrogate models
Jakob Richter, Jonas Nitzler, Luca Pegolotti +6
Boundary condition (BC) calibration to assimilate clinical measurements is an essential step in any subject-specific simulation of cardiovascular fluid dynamics. Bayesian calibrati…
Adaptive integration of history variables in constrained mixture models for organ-scale growth and remodeling
Amadeus M. Gebauer, Martin R. Pfaller, Jason M. Szafron +1
In the last decades, many computational models have been developed to predict soft tissue growth and remodeling (G&R). The constrained mixture theory describes fundamental mechanob…