2 citations · 3 across the 4 of their papers we have counts for
5 papers
A Novel Helical Thin-Film Flow Diverter: Design, Fabrication, and Computational Assessment of Hemodynamic Performance
Samuel Voss, Philipp Berg, Janneck Stahl +5
Flow diversion has become a key treatment modality for selected intracranial aneurysms, relying on the principle that a dense mesh of stent wires disrupts blood flow into the aneur…
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra +5
In the domain of medical imaging, many supervised learning based methods for segmentation face several challenges such as high variability in annotations from multiple experts, pau…
Modeling gas flows in packed beds with the lattice Boltzmann method: validation against experiments
Tanya Neeraj, Christin Velten, Gabor Janiga +5
This study aims to validate the lattice Boltzmann method and assess its ability to accurately describe the behavior of gaseous flows in packed beds. To that end, simulations of a m…
Comparative study of flow fluctuations in ruptured and unruptured intracranial aneurysms: A lattice Boltzmann study
Feng Huang, Seyed Ali Hosseini, Gabor Janiga +1
Flow fluctuations have recently emerged as a promising hemodynamic metric for understanding the rupture risk of intracranial aneurysms. Several investigations have reported in the…
Central moments multiple relaxation time LBM for hemodynamic simulations in intracranial aneurysms: An in-vitro validation study using PIV and PC-MRI
S. A. Hosseini, P. Berg, F. Huang +3
The lattice Boltzmann method (LBM) has recently emerged as an efficient alternative to classical Navier-Stokes solvers. This is particularly true for hemodynamics in complex geomet…