Thesis/Theses examined by Schmid, Volker

Amini Farsani, Zahra (2021): Advanced maximum entropy approaches for medical and microscopy imaging. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ali, Maqsood (2020): Regional adaptive smoothing in disease mapping models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schmidt, Paul (2017): Bayesian inference for structured additive regression models for large-scale problems with applications to medical imaging. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Feilke, Martina (2015): Estimation and model selection for dynamic biomedical images. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Norousi, Ramin (2014): Automatic approaches for microscopy imaging based on machine learning and spatial statistics. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Sommer, Julia (2013): Regularized estimation and model selection in compartment models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Mohajer, Mojgan (2012): Cluster analysis of the signal curves in perfusion DCE-MRI datasets. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics