Algorithms, models and methods for images and signals of the human brain
is a joint research team between CNRS, Inria, Inserm and UPMC (University Pierre et Marie Curie) within the Brain and Spine Institute (ICM). The ICM is a recently created 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.
ARAMIS is a pluridisciplinary group bringing together methodological researchers (computer science, applied mathematics) and medical experts (neurology, medical imaging). The team has close and enduring collaborations with different clinical teams of the ICM and the Pitié-Salpêtrière hospital.
The general objective of the team is to build numerical models of brain diseases from multimodal patient data (medical imaging, clinical data, genomic data). To achieve this goal, we 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 methodological domains: Statistical and machine learning, Medical image processing, Morphometry, statistical shape analysis, Complex networks theory, Graph analysis, Longitudinal models
Main applications: Alzheimer’s disease, Fronto-temporal dementia, Multiple sclerosis, Parkinson’s disease, Brain computer interfaces