Probabilistic machine learning for biomedical optical diagnostics
This thesis investigates probabilistic machine learning methods for biomedical optical diagnostics. This takes place in the context of key challenges such as uncertainty quantification, limited labelled data, and anomalous measurements. The work explores and extends a number of probabilistic deep learning architectures...