Inria
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Raweb 2010
Presentation of the Project parietal
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parietal
Modelling brain structure, function and variability based on high-field MRI data.
2010 Research Team Activity Report
Saclay - Île-de-France
Field :
Computational Sciences for Biology, Medicine and the Environment
Theme : Computational Medicine and Neurosciences
Presentation of the Project-Team
- Activity Report in
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Members
Overall Objectives
Highlights
Scientific Foundations
Information technology for neuroimaging
Application Domains
Modeling and Analysis of Neuroimaging data
Parietal research axes
Software
MedINRIA
Nipy
Mayavi
Scikit learn
fMRI toolbox in Brainvisa
New Results
Multi-modal and multi-structure image registration
Surface-based fMRI data analyzes improvement
Parcel-based random effects analyses
Accurate Definition of Brain Regions Position Through the Functional Landmark Approach
ICA-based sparse pattern recovery from fMRI
Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling
Connectivity models using population prior
A supervised clustering approach for extracting predictive information from brain activation images
Multi-Class Sparse Bayesian Regression for Neuroimaging data analysis
Total Variation regularization enhances regression-based brain activity prediction
Tracking cortical activity from M/EEG using graph-cuts with spatiotemporal constraints
Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses
Multi-condition M/EEG inverse modeling with sparsity assumptions: how to estimate what is common and what is specific in multiple experimental conditions
OpenMEEG: opensource software for quasistatic bioelectromagnetics
Contracts and Grants with Industry
AzureBrain project
National Initiatives
European Initiatives
International Initiatives
Exterior research visitors
Dissemination
Animation of the scientific community
Teaching
Bibliography
Major publications
Publications of the year
