Institut Pasteur

robin.cremese [at]

Short bio

Master’s degree – INSA Toulouse

Thesis topic

Visualization and live segmentation from medical CT scans and MRIs: a new approach mixing probabilistic learning and Virtual reality.

Short abstract

Development of learning methods for optimal path planning in a constrained environment. Reinforcement Learning methods as well as physical simulations will be studied. Possible applications to the medical domain for the preventive planning of operations.