Algorithms, models and methods for images and signals of the human brain
Algorithms, models and methods for images and signals of the human brain

Our team is integrated within the Brain and Spine Institute (ICM). It is a joint team with CNRS, Inserm and Sorbonne University. The ICM is a neuroscience center based in the Pitié-Salpêtrière hospital in Paris, which is the largest adult hospital in Europe and has a long tradition of neuroscience and neurology. This rich environment allows direct and fruitful collaborations with medical and biological teams, which is crucial for the design of meaningful methods and for the translation to clinical applications.

The ARAMIS team is devoted to the design of computational, mathematical and statistical approaches for the analysis of multimodal patient data, with an emphasis on neuroimaging data. The core methodological domains of our team are: machine learning, statistical modeling of complex geometric data, connectivity and network analysis. These new approaches are applied to clinical research in neurological diseases in collaboration with other teams of the ICM, clinical departments of the Pitié-Salpêtrière hospital and external partners. The team has a pluridisciplinary composition, bringing together researchers in mathematics, computer science and engineering (N. Burgos, O. Colliot, F. De Vico Fallani, S. Durrleman, D. Racoceanu) and clinicians (D. Dormont, S. Epelbaum). 

We develop various clinical applications of our research, in particular in neurodegenerative disorders (Alzheimer's disease and other dementias, Parkinson's disease), multiple sclerosis, developmental disorders, stroke and to design brain-computer interfaces for rehabilitation.

Centre(s) inria
In partnership with
CNRS,INSERM,Sorbonne Université (UPMC)


Team leader

Helene Milome

Team assistant