The PhD research project will focus on the intersection of medical image computing and machine learning to develop computationally efficient frameworks for analysis of big imaging data. The applications include learning shape and appearance models from populations and extending them to deep and/or non-parametric Bayesian models. The project will be flexibly tailored into more specific objectives based on the interest of the candidate and the required task in hand.

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