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 ICube laboratory and the IHU institute. We also collaborate with members of Inria Nancy, Inria Lille, Ecole Centrale de Lille, University of Luxembourg, Karlsruhe Institute of Technology, TIMC Laboratory in Grenoble, Twente University in the Netherlands, SINTEF in Norway, ARTOG in Bern. 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. Patient-specific simulations: from training to intra-operative guidance.