1 citations · 2 across the 3 of their papers we have counts for
3 papers
Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning
Maximilian Dinkel, Carolin M. Geitner, Gil Robalo Rei +2
Solving inverse problems using Bayesian methods can become prohibitively expensive when likelihood evaluations involve complex and large scale numerical models. A common approach t…
Pressure- and time-dependent alveolar recruitment/derecruitment in a spatially resolved patient-specific computational model for injured human lungs
Carolin M. Geitner, Lea J. Köglmeier, Inéz Frerichs +6
We present a novel computational model for the dynamics of alveolar recruitment/derecruitment (RD), which reproduces the underlying characteristics typically observed in injured lu…
An approach to study recruitment/derecruitment dynamics in a patient-specific computational model of an injured human lung
Carolin M. Geitner, Tobias Becher, Inéz Frerichs +3
We present a new approach for physics-based computational modeling of diseased human lungs. Our main object is the development of a model that takes the novel step of incorporating…