313 citations · 490 across the 26 of their papers we have counts for
8 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…
Variable density sampling with continuous trajectories. Application to MRI
Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn +1
Reducing acquisition time is a crucial challenge for many imaging techniques. Compressed Sensing (CS) theory offers an appealing framework to address this issue since it provides t…
From variable density sampling to continuous sampling using Markov chains
Nicolas Chauffert, Philippe Ciuciu, Pierre Weiss +1
Since its discovery over the last decade, Compressed Sensing (CS) has been successfully applied to Magnetic Reso- nance Imaging (MRI). It has been shown to be a powerful way to red…
Travelling salesman-based variable density sampling
Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn +1
Compressed sensing theory indicates that selecting a few measurements independently at random is a near optimal strategy to sense sparse or compressible signals. This is infeasible…
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…