As a joint research team (CNRS, Inria, Inserm, UPMC), AramisLab brings methodological researchers (computer scientists, applied mathematics) and medical experts (neurology, medical imaging) to build numedical models of brain diseases from multimodal patient data: medical imaging, clinical data and genomic data.


The pluridisciplinary team is located at the Brain and Spine Institute (ICM) which is a recently created neuroscience center based in the Pitié-Salpêtrière hospital in Paris, the largest adult hospital in Europe and has a long tradition of neuroscience and neurology. This ecosystem, along with enduring collaborations with clinical teams of the ICM and the hospital, allows to develop new data representations and statistical learning approaches that can integrate multiple types of data acquired in the living patient, including medical imaging, clinical and genomic data. In turn, these models will allow for a better understanding of disease progression, and the development of new decision support systems for diagnosis, prognosis and design of clinical trials.

Key methododological domains

Machine Learning
Statistical techniques empowered by computers that learn regularities in data to better alleviate similarities or differences
Medical image processing
Hidden content
Morphometry and shape analysis
Hidden content
Complex network theory
Hidden content
Graph analysis
Hidden content
Longitudinal analysis
Hidden content

Main applications

Alzheimer's disease
Neurodegenerative disease affecting primarly the cognitive capabilities of more than 30 million people over the world
Fronto-temporal dementia
Hidden content
Multiple sclerosis
Hidden content
Parkinson's disease
Hidden content
Brain computer interfaces
Hidden content


Team retreat at the villa Finaly, Florence, Italy