4 citations · 4 across the 3 of their papers we have counts for
4 papers
A finite element / neural network framework for modeling suspensions of non-spherical particles. Concepts and medical applications
Martyna Minakowska, Thomas Richter, Sebastian Sager
An accurate prediction of the translational and rotational motion of particles suspended in a fluid is only possible if a complete set of correlations for the force coefficients of…
Model-based optimal AML consolidation treatment
Felix Jost, Enrico Schalk, Daniela Weber +3
Neutropenia is an adverse event commonly arising during intensive chemotherapy of acute myeloid leukemia (AML). It is often associated with infectious complications. Mathematical m…
Model-based simulation of maintenance therapy of childhood acute lymphoblastic leukemia
Felix Jost, Jakob Zierk, Thuy T. T. Le +6
Acute lymphoblastic leukemia is the most common malignancy in childhood. Successful treatment requires initial high-intensity chemotherapy, followed by low-intensity oral maintenan…
The asymptotic error of chaos expansion approximations for stochastic differential equations
Tony Huschto, Mark Podolskij, Sebastian Sager
In this paper we present a numerical scheme for stochastic differential equations based upon the Wiener chaos expansion. The approximation of a square integrable stochastic differe…