MIMOSA
MIMOSA is an ANR-funded research project dedicated to knee osteoarthritis (gonarthrosis), a major public health priority. The project develops transparent, trustworthy AI that combines X-ray and MRI to improve severity assessment, early diagnosis, and prediction of progression.
About
Knee osteoarthritis (gonarthrosis) is a progressive degenerative disease and a public health priority. Diagnosis and follow-up are commonly based on radiographic inspection of joint space width and osteophytes. However, early structural changes can be subtle, and manual grading may suffer from limited sensitivity and inter-observer variability. MIMOSA develops machine learning methods—leveraging complementary information from X-ray and MRI—to support reliable severity estimation and early-stage detection, while providing transparent outputs suitable for clinical research workflows.
Clinical motivation
Improve reproducibility and sensitivity of imaging-based assessment, especially for early and subtle disease changes.
Scientific question
How can we predict the onset and progression of knee OA from radiographs, enhanced by multimodal imaging and learning?
Expected outcome
A transparent CADx system that supports automated severity evaluation and structured, interpretable reporting.
Partners
MIMOSA brings together complementary expertise in multimodal imaging, mathematical modeling, and medical innovation platforms for validation and translation.
IDP (UMR 7013) — Institut Denis Poisson
contributing to robust learning and evaluation. Multimodal Multi-scale Imaging and Modeling of Bone & Joint Tissue
MED-IMAPS
Platform Development and System Deployment
CNRS — Orléans
Mathematical and computational modeling
Publications & Outputs
Contact
For collaboration, scientific questions, or dissemination requests, please contact the project coordination team.
rachid.jennane@univ-orleans.fr
Replace with the official project email (or coordinator contact).
Affiliation
IDP UO / MED-IMAPS
Université d’Orléans,
Collegium Sciences et Techniques,
Bâtiment de mathématiques,
Rue de Chartres,
B.P. 6759
45067 Orléans cedex 2, FRANCE
Message (template)
This local file won’t send emails by itself. It’s a template you can later connect to a service.