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Section: Overall Objectives

Team Overview

The MIMESIS team is developing advanced numerical simulations in the context of surgical training, planning and per-operative guidance (see Fig. 1). The underlying objectives include patient-specific biophysical modeling, novel numerical techniques for real-time computation, data assimilation using Bayesian methods and more generally data-driven simulation. This last topic is a transverse research theme which raises several open problems, related to the field of machine learning. To pursue these directions we have assembled a team with a multidisciplinary background, and have established close collaborations with academic and clinical partners, in particular the IHU institute in Strasbourg. We also continue the development of the SOFA framework through the creation of a consortium, to better support the increasingly large community of users.

Figure 1. Data-driven simulations: from surgical training to patient-specific intra-operative computer-aided intervention.
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