Spatially adaptive mixture modeling for analysis of FMRI time series. T Vincent, L Risser, P Ciuciu IEEE Transactions on Medical Imaging 29 (4), 1059-1074, 2010 | 122 | 2010 |
A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI S Makni, J Idier, T Vincent, B Thirion, G Dehaene-Lambertz, P Ciuciu Neuroimage 41 (3), 941-969, 2008 | 117 | 2008 |
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach L Chaari, T Vincent, F Forbes, M Dojat, P Ciuciu Medical Imaging, IEEE Transactions on 32 (5), 821-837, 2013 | 77 | 2013 |
Group-level impacts of within-and between-subject hemodynamic variability in fMRI S Badillo, T Vincent, P Ciuciu NeuroImage 82, 433-448, 2013 | 42 | 2013 |
Hemodynamic-informed parcellation of fMRI data in a Joint Detection Estimation framework L Chaari, F Forbes, T Vincent, P Ciuciu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 180-188, 2012 | 30 | 2012 |
Spatial mixture modelling for the joint detection-estimation of brain activity in fMRI T Vincent, P Ciuciu, J Idier Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE …, 2007 | 25 | 2007 |
Min-max extrapolation scheme for fast estimation of 3D Potts field partition functions. application to the joint detection-estimation of brain activity in fMRI L Risser, T Vincent, F Forbes, J Idier, P Ciuciu Journal of Signal Processing Systems 65 (3), 325-338, 2011 | 24 | 2011 |
Variational solution to the joint detection estimation of brain activity in fMRI L Chaari, F Forbes, T Vincent, M Dojat, P Ciuciu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011, 260-268, 2011 | 23 | 2011 |
Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis L Risser, T Vincent, P Ciuciu, J Idier Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009, 975-983, 2009 | 16 | 2009 |
Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF T Vincent, S Badillo, L Risser, L Chaari, C Bakhous, F Forbes, P Ciuciu Frontiers in neuroscience 8, 2014 | 15 | 2014 |
Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI T Vincent, P Ciuciu, B Thirion Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE …, 2008 | 14 | 2008 |
Soma-workflow: a unified and simple interface to parallel computing resources S Laguitton, D Riviere, T Vincent, C Fischer, D Geffroy, N Souedet, ... MICCAI Workshop on High Performance and Distributed Computing for Medical …, 2011 | 13 | 2011 |
Impact of the joint detection-estimation approach on random effects group studies in fMRI S Badillo, T Vincent, P Ciuciu Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on …, 2011 | 13 | 2011 |
Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis. L Risser, J Idier, P Ciuciu, T Vincent Image Processing (ICIP), 2009 16th IEEE International Conference on, 833-836, 2009 | 13 | 2009 |
Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data T Vincent, J Warnking, M Villien, A Krainik, P Ciuciu, F Forbes Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, 616-624, 2013 | 12 | 2013 |
Physiologically Informed Bayesian Analysis of ASL fMRI Data A Frau-Pascual, T Vincent, J Sloboda, P Ciuciu, F Forbes Bayesian and grAphical Models for Biomedical Imaging, 37-48, 2014 | 9 | 2014 |
Modelling the neurovascular habituation effect on fMRI time series P Ciuciu, S Sockeel, T Vincent, J Idier Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009 | 9 | 2009 |
Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling P Ciuciu, T Vincent, AL Fouque, A Roche Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE …, 2008 | 7 | 2008 |
Bayesian BOLD and perfusion source separation and deconvolution from functional ASL imaging T Vincent, F Forbes, P Ciuciu Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013 | 6 | 2013 |
Spatially unsupervised analysis of within-subject fMRI data using multiple extrapolations of 3D Ising field partition functions T Vincent, L Risser, P Ciuciu, J Idier Machine Learning for Signal Processing, 2009. MLSP 2009. IEEE International …, 2009 | 6 | 2009 |