Jean-Baptiste Poline

Preventing dataset shift from breaking machine-learning biomarkers

Machine learning brings the hope of finding new biomarkers extracted from cohorts with rich biomedical measurements. A good biomarker is one that gives reliable detection of the corresponding...

Fusion of Simultaneous fMRI/EEG Data Based on the Electro-Metabolic Coupling

Robust estimation of the hemodynamic response function in asynchronous multitasks multisessions event-related fMRI paradigms

Semi-Blind Deconvolution of Neural Impulse Response in Event-Related fMRI Using a Gibbs Sampler

Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares

ICA-based sparse features recovery from FMRI datasets

Selection of Temporal Models for Event-Related fMRI

Reading the brain visual system as an inverse problem

The Influence of Heart Beat and Respiration on Functional Connectivity Networks

Hierarchical multivariate group analysis of functional MRI data

Incremental Activation Detection in fMRI Series Using Kalman Filtering

Parcellation of brain images with anatomical and functional constraints for fMRI data analysis

Joint detection-estimation of brain activity in fMRI using an autoregressive noise model

Triangulating cortical functional networks with anatomical landmarks

Brain covariance selection: better individual functional connectivity models using population prior

Discriminative Network Models of Schizophrenia

Robust Group-Level Inference in Neuroimaging Genetic Studies

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding