ARAMIS - 2019 - Annual activity report

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ARAMIS

ARAMIS - 2019

Project-Team Aramis

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Application Domains

Highlights of the Year

New Software and Platforms

New Results

Predicting PET-derived Demyelination from Multimodal MRI using Sketcher-Refiner Adversarial Training for Multiple Sclerosis
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data
Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease
Network neuroscience for optimizing brain–computer interfaces
Quality Assessment of Single-Channel EEG for Wearable Devices
Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis
Learning low-dimensional representations of shape data sets with diffeomorphic autoencoders
Learning disease progression models with longitudinal data and missing values
Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories
Auto-encoding meshes of any topology with the current-splatting and exponentiation layers
Riemannian Geometry Learning for Disease Progression Modelling
How many patients are eligible for disease-modifying treatment in Alzheimer’s disease? A French national observational study over 5 years.
EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease
Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease

Bilateral Contracts and Grants with Industry

Bilateral Grants with Industry

Partnerships and Cooperations

Dissemination

Bibliography

Publications of the year

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Section: Partnerships and Cooperations

International Initiatives

Informal International Partners

O. Colliot has an enduring collaboration with the Center for Magnetic Resonance Research, University of Minnesota, USA (P-F Van de Moortele, T. Henry).
S. Durrleman and O. Colliot have a collaboration with the Center for Medical Image Computing (CMIC) at University College London (UCL), London, UK (D. Alexander, H. Zhang).
F. De Vico Fallani has a collaboration with Penn University, US (Prof. D. Bassett) and Queen Mary University London, UK (Prof. Vito Latora).

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