ARAMIS - 2018 - Annual activity report

ARAMIS

ARAMIS - 2018

Project-Team Aramis

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Application Domains

Highlights of the Year

New Software and Platforms

New Results

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
An automated pipeline for the analysis of PET data on the cortical surface
Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region
Double diffeomorphism: combining morphometry and structural connectivity analysis
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms
Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns
A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds
Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis.
Multiplex core-periphery organization of the human connectome
Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces
Role of inter-hemispheric connections in functional brain networks
Statistical shape analysis of large datasets based on diffeomorphic iterative centroids
Multi-modal brain fingerprinting: a manifold approximation based framework
Structural, Microstructural, and Metabolic Alterations in Primary Progressive Aphasia Variants
Neurite density is reduced in the presymptomatic phase of C9orf72 disease
Learning myelin content in multiple sclerosis from multimodal MRI through adversarial training
COGEVIS: A New Scale to Evaluate Cognition in Patients with Visual Deficiency
Neural correlates of episodic memory in the Memento cohort
Cognitive and neuroimaging features and brain amyloidosis in individuals at risk of Alzheimer's disease

Bilateral Contracts and Grants with Industry

Bilateral Grants with Industry

Partnerships and Cooperations

Dissemination

Bibliography

Publications of the year

Home | Next next

2018 Project-Team Activity Report

ARAMIS

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

Research centre: Paris

In partnership with: CNRS, INSERM, Sorbonne Université (UPMC)

In collaboration with: Institut du Cerveau et de la Moelle Epinière

Field: Digital Health, Biology and Earth

Theme: Computational Neuroscience and Medicine

Keywords:

Computer Science and Digital Science:

A3.4. - Machine learning and statistics
A3.4.1. - Supervised learning
A3.4.2. - Unsupervised learning
A3.4.4. - Optimization and learning
A5.3. - Image processing and analysis
A5.4.4. - 3D and spatio-temporal reconstruction
A5.9. - Signal processing
A9. - Artificial intelligence
A9.2. - Machine learning
A9.3. - Signal analysis
A9.6. - Decision support

Other Research Topics and Application Domains:

B2. - Health
B2.2.6. - Neurodegenerative diseases
B2.6.1. - Brain imaging