216 citations · 552 across the 14 of their papers we have counts for
5 papers · 1 filter
Physiologically Informed Bayesian Analysis of ASL fMRI Data
Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda +2
Arterial Spin Labelling (ASL) functional Magnetic Resonance Imaging (fMRI) data provides a quantitative measure of blood perfusion, that can be correlated to neuronal activation. I…
Hemodynamically informed parcellation of cerebral FMRI data
Aina Frau-Pascual, Thomas Vincent, Florence Forbes +1
Standard detection of evoked brain activity in functional MRI (fMRI) relies on a fixed and known shape of the impulse response of the neurovascular coupling, namely the hemodynamic…
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies
Antoine Deleforge, Florence Forbes, Sileye Ba +1
Hyper-spectral data can be analyzed to recover physical properties at large planetary scales. This involves resolving inverse problems which can be addressed within machine learnin…
Spatial risk mapping for rare disease with hidden Markov fields and variational EM
Florence Forbes, Myriam Charras-Garrido, Lamiae Azizi +2
Current risk mapping models for pooled data focus on the estimated risk for each geographical unit. A risk classification, that is, grouping of geographical units with similar risk…
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach
Lotfi Chaari, Thomas Vincent, Florence Forbes +2
In standard clinical within-subject analyses of event-related fMRI data, two steps are usually performed separately: detection of brain activity and estimation of the hemodynamic r…