Optimisation, modeling and machine learning

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Applications in biology and medicine

In our research work, we consider optimisation-based approaches where a functional, either implicit or explicit, is studied in order to solve inverse problems in image processing. These problems include image segmentation, image restoration, and blind or non-blind deconvolution.

The tools we use cover a broad spectrum, from discrete to continuous, convex or non-convex approaches, hierarchical or multiscale, stochastic or deterministic.

We also have research activities focused on the notions of model, simulation, machine learning and optimisation, with applications mainly in biology and medicine.