Gee, M.W., Hemmler, A., Reeps, C.
(T)EVAR simulation
Biomechanics of the Aorta
Elsevier
2024

Paul, Birgit;Hofmann, Anja;Weinert, Sönke;Frank, Frieda;Wolff, Ulrike;Krautz, Maria;Edelmann, Jan;Gee, Michael W.;Reeps, Christian;Hufenbach, Julia
Effect of Blasting Treatments on the Surface Topography and Cell Adhesion on Biodegradable FeMn‐Based Stents Processed by Laser Powder Bed Fusion
Advanced Engineering Materials
2022
24
10
2200961

Metschl, S., Bruder, L., Paloschi, V., Jakob, K., Reutersberg, B., Reeps, C., Maegdefessel, L., Gee, M.W., Eckstein, H.-H., Pelisek, J.
Changes of endocan and dermatan sulfate are associated with biomechanical properties of abdominal aortic wall during aneurysm expansion and rupture
Thrombosis and Haemostasis
2022

Avril, S., Gee, M. W., Hemmler, A., Rugonyi, S.
Patient-specific computational modeling of endovascular aneurysm repair: State of the art and future directions
Numerical Methods in Biomedical Engineering
2021
37
12

Schein, A., Gee, M. W.
Greedy maximin distance sampling based model order reduction of prestressed and parametrized abdominal aortic aneurysms
Advanced Modeling and Simulation in Engineering Sciences
2021

Schein, A., Carlberg, K.T., Zahr, M.J.
Preserving general physical properties in model reduction of dynamical systems via constrained‐optimization projection
International Journal for Numerical Methods in Engineering
2021

Wiesner, T.A., Mayr, M., Popp, A., Gee, M.W., Wall, W.A.
Algebraic multigrid methods for saddle point systems arising from mortar contact formulations
International Journal for Numerical Methods in Engineering
2021

Bruder, L., Pelisek, J., Eckstein, H-H., Gee, M. W.
Biomechanical rupture risk assessment of abdominal aortic aneurysms using clinical data: A patient-specific, probabilistic framework and comparative case-control study
PLoS ONE
2020
15
11

Bott, S. F., Gee, M. W.
A strong form based moving Kriging collocation method for the numerical solution of partial differential equations with mixed boundary conditions
International Journal for Numerical Methods in Engineering
2020

Bruder, L., Gee, M. W., Wildey, T.
Data-Consistent Solutions to Stochastic Inverse Problems Using a Probabilistic Multi-Fidelity Method Based on Conditional Densities
International Journal for Uncertainty Quantification
2020
10
5