Inria-0230-208
Inria-0230-061
Inria-0230-152
Inria-0230-090_ds
Inria-0230-136
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
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Morphometry and shape analysis
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Complex network theory
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Graph analysis
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Longitudinal analysis
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Main applications

Alzheimer's disease
Neurodegenerative disease affecting primarly the cognitive capabilities of more than 30 million people over the world
Fronto-temporal dementia
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Multiple sclerosis
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Parkinson's disease
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Brain computer interfaces
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Team retreat at the villa Finaly, Florence, Italy