D. Williams, J. Detre, J. Leigh, and A. Koretsky, Magnetic resonance imaging of perfusion using spin inversion of arterial water., Proceedings of the National Academy of Sciences, vol.89, issue.1, pp.212-216, 1992.
DOI : 10.1073/pnas.89.1.212

S. Ogawa, D. Tank, R. Menon, J. Ellermann, S. G. Kim et al., Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging., Proc. Natl. Acad. Sci. USA, pp.5951-5955, 1992.
DOI : 10.1073/pnas.89.13.5951

L. Hernandez-garcia, H. Jahanian, and D. B. Rowe, Quantitative analysis of arterial spin labeling FMRI data using a general linear model, Magnetic Resonance Imaging, vol.28, issue.7, pp.919-927, 2010.
DOI : 10.1016/j.mri.2010.03.035

J. A. Mumford, L. Hernandez-garcia, G. R. Lee, and T. E. Nichols, Estimation efficiency and statistical power in arterial spin labeling fMRI, NeuroImage, vol.33, issue.1, pp.103-114, 2006.
DOI : 10.1016/j.neuroimage.2006.05.040

T. Vincent, L. Risser, and P. Ciuciu, Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series, IEEE Transactions on Medical Imaging, vol.29, issue.4, pp.1059-1074, 2010.
DOI : 10.1109/TMI.2010.2042064

URL : https://hal.archives-ouvertes.fr/cea-00470594

T. Vincent, J. Warnking, M. Villien, A. Krainik, P. Ciuciu et al., Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data, 16th Proc. MICCAI, pp.616-623, 2013.
DOI : 10.1007/978-3-642-40763-5_76

URL : https://hal.archives-ouvertes.fr/hal-00854437

T. Vincent, F. Forbes, and P. Ciuciu, Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1003-1007, 2013.
DOI : 10.1109/ICASSP.2013.6637800

URL : https://hal.archives-ouvertes.fr/hal-00859373

K. J. Friston, A. Mechelli, R. Turner, and C. J. Price, Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics, NeuroImage, vol.12, issue.4, pp.466-477, 2000.
DOI : 10.1006/nimg.2000.0630

R. B. Buxton, K. Uluda?-g, D. J. Dubowitz, and T. T. Liu, Modeling the hemodynamic response to brain activation, NeuroImage, vol.23, pp.220-233, 2004.
DOI : 10.1016/j.neuroimage.2004.07.013

R. B. Buxton, E. C. Wong, R. , and F. L. , Dynamics of blood flow and oxygenation changes during brain activation: The balloon model, Magnetic Resonance in Medicine, vol.77, issue.6, pp.39-855, 1998.
DOI : 10.1002/mrm.1910390602

I. Khalidov, J. Fadili, F. Lazeyras, D. Van-de-ville, and M. Unser, Activelets: Wavelets for sparse representation of hemodynamic responses, Signal Processing, vol.91, issue.12, pp.2810-2821, 2011.
DOI : 10.1016/j.sigpro.2011.03.008

S. Makni, P. Ciuciu, J. Idier, and J. B. Poline, Bayesian Joint Detection-Estimation of Brain Activity Using MCMC With a Gamma-Gaussian Mixture Prior Model, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, pp.1093-1096, 2006.
DOI : 10.1109/ICASSP.2006.1661470

URL : https://hal.archives-ouvertes.fr/hal-00408603