5 citations · 6 across the 7 of their papers we have counts for
7 papers
Effective permeabilities for flow through anisotropic microscopic geometries
Loïc Balazi, Fabian Holzberger, Stephan B. Lunowa +3
This work develops a computational and theoretical framework for determining effective permeabilities in anisotropic microscopic geometries containing dense, fibre-like obstacles,…
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
Melanie Rieff, Fabian Holzberger, Oksana Lapina +6
Previous work indicates evidence that cerebrospinal fluid (CSF) plays a crucial role in brain waste clearance processes, and that altered flow patterns are associated with various…
Numerical simulation of individual coil placement -- A proof-of-concept study for the prediction of recurrence after aneurysm coiling
Julian Schwarting, Fabian Holzberger, Markus Muhr +4
Rupture of intracranial aneurysms results in severe subarachnoidal hemorrhage, which is associated with high morbidity and mortality. Neurointerventional occlusion of the aneurysm…
Numerical simulation of endovascular treatment options for cerebral aneurysms
Martin Frank, Fabian Holzberger, Medeea Horvat +7
Predicting the long-term success of endovascular interventions in the clinical management of cerebral aneurysms requires detailed insight into the patient-specific physiological co…
A Comprehensive Numerical Approach to Coil Placement in Cerebral Aneurysms: Mathematical Modeling and In Silico Occlusion Classification
Fabian Holzberger, Markus Muhr, Barbara Wohlmuth
Endovascular coil embolization is one of the primary treatment techniques for cerebral aneurysms. Although it is a well established and minimally invasive method, it bears the risk…
A Lattice Boltzmann Method for Non-Newtonian Blood Flow in Coiled Intracranial Aneurysms
Medeea Horvat, Stephan B. Lunowa, Dmytro Sytnyk +1
Intracranial aneurysms are the leading cause of hemorrhagic stroke. One of the established treatment approaches is the embolization induced by coil insertion. However, the predicti…
On the Convergence of Learning Algorithms in Bayesian Auction Games
Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner +2
Equilibrium problems in Bayesian auction games can be described as systems of differential equations. Depending on the model assumptions, these equations might be such that we do n…