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

Mayr, M., Noll, M. H., Gee, M. W..A hybrid interface preconditioner for monolithic fluid–structure interaction solvers.Advanced Modeling and Simulation in Engineering Sciences.2020.7.1

Hemmler, A., Lin, A., Thierfelder, N., Franz, T., Gee, M. W., Bezuidenhout, D..Customized Stent‐Grafts for Endovascular Aneurysm Repair with Challenging Necks: a Numerical Proof of Concept.International Journal for Numerical Methods in Biomedical Engineering.2020.36.4

Hemmler, A., Lutz, B., Reeps, C., Gee, M. W..Cover Image.International Journal for Numerical Methods in Biomedical Engineering.2019.35.11

Bruder, L., Reutersberg, B., Bassilious, M., Schüttler, W., Eckstein, H.-H., Gee, M. W..Methoden der künstlichen Intelligenz in der vaskulären Medizin. Status quo und Ausblick am Beispiel des AAAs.Gefässchirurgie.2019.24.7.539-547

Hemmler, A., Reeps, C., Lutz, B., Gee, M. W..Der digitale Zwilling in der endovaskulären Versorgung.Gefässchirurgie.2019.24.7.548-556

Thon, M.P., Myerscough, M.R., Gee, M.W..A Spatially Resolved and Quantitative Model of Early Atherosclerosis.Bulletin of Mathematical Biology.2019.81.10.4022-4068

Hemmler, A., Lutz, B., Reeps, C., Gee, M.W..In silico study of vessel and stent‐graft parameters on the potential success of endovascular aneurysm repair.International Journal for Numerical Methods in Biomedical Engineering.2019.35.11