MIMESIS
Computational Anatomy & Simulation for Medicine
The MIMESIS research team works on a set of scientific challenges in the field of scientific computing, data assimilation, machine learning and control with the objective of creating real-time digital twins of an organ.
Our main application domains are surgical training and surgical guidance during complex interventions. Our primary clinical objectives are hepatic surgery, lung surgery, and neuro-stimulation.
MIMESIS is an Inria research team located in Strasbourg. It is also part of the ICube MLMS team.
News and Highlights
We are pleased to announce that four papers from the MIMESIS team have been accepted for presentation at IPCAI 2026, the 17th International Conference on Information...
The MIMESIS team is proud to be part of POCUSI (Point of Care UltraSound for Screening & Intervention), a new strategic consortium developing a next generation of...
Our paper "Optimization-based calibration for intravascular ultrasound volume reconstruction" was presented at ASMUS 2025 (The 6th International Workshop on Advances in...
Our paper "Deform Any Liver in Real-Time" was presented at IEEE ISBI 2025 (International Symposium on Biomedical Imaging) in Houston, United States. This work...
Our work on data-driven endovascular navigation was presented at the Joint AE-CAI | CARE | OR 2.0 workshop at MICCAI 2024 in Marrakech, Morocco, where it was awarded...
The MIMESIS team is proud to be part of PREMYOM (Prise en charge et Ralentissement de l'Epidémie de MYopie par l'Optique Médicale), a major collaborative project aiming...
Research Topics
Ongoing Projects
Premyom
Medical optics to manage and slow the myopia epidemic.
ϕ-FEM
Finite Element Method for real-time digital twins in surgery.
Meditwin
Digital twins for the future of medical care.
POCUSI
A new generation of software-based, intelligent, and cost-effective ultrasound systems.