Uncertainty-Aware Model Training and Decision Making

As the primary contributions of this thesis, the current state-of-the-art uncertainty quantification techniques for medical classification problems are reviewed comprehensively. The research will then in particular focus on data and model uncertainty quantification. To this end, novel methods to handle data and model uncertainties are presented.