R. B. Buxton, E. C. Wong, and L. R. Frank, Dynamics of blood flow and oxygenation changes during brain activation: The balloon model, Magnetic Resonance in Medicine, vol.77, issue.6, pp.855-864, 1998.
DOI : 10.1002/mrm.1910390602

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

K. E. Stephan, N. Weiskopf, P. M. Drysdale, P. A. Robinson, and K. J. Friston, Comparing hemodynamic models with DCM, NeuroImage, vol.38, issue.3, pp.387-401, 2007.
DOI : 10.1016/j.neuroimage.2007.07.040

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

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

A. Frau-pascual, T. Vincent, J. Sloboda, P. Ciuciu, F. Forbes et al., Physiologically Informed Bayesian Analysis of ASL fMRI Data, Bayesian and grAphical Models for Biomedical Imaging, pp.37-48, 2014.
DOI : 10.1007/978-3-319-12289-2_4
URL : https://hal.archives-ouvertes.fr/hal-01107613

T. Obata, T. T. Liu, K. L. Miller, W. Luh, E. C. Wong et al., Discrepancies between BOLD and flow dynamics in primary and supplementary motor areas: application of the balloon model to the interpretation of BOLD transients, NeuroImage, vol.21, issue.1, pp.144-153, 2004.
DOI : 10.1016/j.neuroimage.2003.08.040

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

Y. Behzadi and T. T. Liu, An arteriolar compliance model of the cerebral blood flow response to neural stimulus, NeuroImage, vol.25, issue.4, pp.1100-1111, 2005.
DOI : 10.1016/j.neuroimage.2004.12.057

P. Ciuciu, J. Poline, G. Marrelec, J. Idier, . Ch et al., Unsupervised robust nonparametric estimation of the hemodynamic response function for any fmri experiment, IEEE Transactions on Medical Imaging, vol.22, issue.10, pp.1235-1251, 2003.
DOI : 10.1109/TMI.2003.817759
URL : https://hal.archives-ouvertes.fr/cea-00333694

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