Uncertainty, robustness and safety in artificial intelligence, with applications in healthcare

Abstract

My thesis includes 4 independent chapters, and their topics are novel uncertainty quantification methods for medical image segmentation and reconstruction, a robust deep model for survival analysis, and a novel gray box adversarial defense. The thesis has a mix of theoretical and empirical results, and contains two applications in healthcare, which are medical image analysis and survival analysis