Project
Team
Parietal
Scientific Foundations
Application Domains
Software
New Results
- A supervised clustering approach for fMRI-based inference of brain states
- Multiclass Sparse Bayesian Regression for fMRI-Based Prediction
- Total variation regularization for fMRI-based prediction of behaviour
- Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom.
- Multi-subject dictionary learning (MSDL) to segment an atlas of brain spontaneous activity
- Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries
- A probabilistic framework to infer brain functional connectivity from anatomical connections
- M/EEG source reconstruction based on Gabor thresholding in the source space
- Multifractal Analysis of Resting State Networks in Functional MRI
- Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity
- Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant
- Connectivity-informed fMRI Activation Detection
- Beyond brain reading: identify and predict with clustering and randomized sparsity
- Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons
Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project
Team
Parietal
Scientific Foundations
Application Domains
Software
New Results
- A supervised clustering approach for fMRI-based inference of brain states
- Multiclass Sparse Bayesian Regression for fMRI-Based Prediction
- Total variation regularization for fMRI-based prediction of behaviour
- Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom.
- Multi-subject dictionary learning (MSDL) to segment an atlas of brain spontaneous activity
- Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries
- A probabilistic framework to infer brain functional connectivity from anatomical connections
- M/EEG source reconstruction based on Gabor thresholding in the source space
- Multifractal Analysis of Resting State Networks in Functional MRI
- Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity
- Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant
- Connectivity-informed fMRI Activation Detection
- Beyond brain reading: identify and predict with clustering and randomized sparsity
- Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons
Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Previous | 
Home