E. Panagiotaki, Compartment models of the diffusion MR signal in brain white matter: a taxonomy and comparison, NeuroImage, vol.59, pp.2241-2254, 2012.

A. Ianu¸sianu¸s, D. C. Alexander, and I. Drobnjak, Microstructure imaging sequence simulation toolbox, International Workshop on Simulation and Synthesis in Medical Imaging, pp.34-44, 2016.

I. Drobnjak, The matrix formalism for generalised gradients with timevarying orientation in diffusion NMR, Journal of Magnetic Resonance, vol.210, pp.151-157, 2011.

M. Hernandez-fernandez, I. Reguly, S. Jbabdi, M. Giles, S. Smith et al., Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes, 2018.

R. L. Harms, Robust and fast nonlinear optimization of diffusion MRI microstructure models, Neuroimage, vol.155, pp.82-96, 2017.

J. D. Tournier, F. Calamante, and A. Connelly, Robust determination of the fibre orientation distribution in diusion mri: non-negativity constrained super-resolved spherical deconvolution, NeuroImage, vol.35, p.14591472, 2007.

R. Fick, D. Wassermann, and R. Deriche, Mipy: An Open-Source Framework to improve reproducibility in Brain Microstructure Imaging. OHBM 2018-Human Brain Mapping, pp.1-4, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01722146

R. Fick, R. Deriche, and D. Wassermann, Dmipy: An Open-source Framework for Reproducible dMRI-Based Microstructure Research (Version 0.1), Zenodo, 2018.

E. Stejskal and J. Tanner, Spin diffusion measurements: Spin echoes in the presence of a time-dependent field gradient, Journal of Chemical Physics, vol.42, p.288292, 1965.

E. Kaden, N. D. Kelm, R. P. Carson, M. D. Does, and D. C. Alexander, Multicompartment microscopic diffusion imaging, NeuroImage, 2016.

V. J. Wedeen, P. Hagmann, W. Y. Tseng, T. G. Reese, and R. M. Weisskoff, Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging, Magnetic Resonance in Medicine, vol.54, p.13771386, 2005.

P. T. Callaghan, Pulsed-gradient spin-echo NMR for planar, cylindrical, and spherical pores under conditions of wall relaxation, Journal of magnetic resonance, Series A, vol.113, issue.1, pp.53-59, 1995.

Y. Assaf, R. Z. Freidlin, G. K. Rohde, and P. J. Basser, New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter, Magnetic Resonance in Medicine, vol.52, p.965978, 2004.

C. D. Kroenke, J. J. Ackerman, and D. A. Yablonskiy, On the nature of the NAA diffusion attenuated MR signal in the central nervous system, Magnetic Resonance in Medicine, vol.52, pp.1052-1059, 2004.

T. Behrens, M. Woolrich, M. Jenkinson, H. Johansen-berg, R. Nunes et al., Characterization and propagation of uncertainty in diffusion-weighted mr imaging, MRM, vol.50, p.10771088, 2003.

T. Dhollander, Unsupervised 3-tissue response function estimation from single-shell or multi-shell diffusion MR data without a co-registered T1 image, ISMRM Workshop on Breaking the Barriers of Diffusion MRI, vol.5, 2016.

O. Söderman and B. Jönsson, Restricted diffusion in cylindrical geometry, Journal of Magnetic Resonance, Series A, vol.117, p.9497, 1995.

P. Vangelderen, D. Despres, P. Vanzijl, and C. Moonen, Evaluation of restricted diffusion in cylinders. phosphocreatine in rabbit leg muscle, Journal of Magnetic Resonance, Series B, vol.103, p.255260, 1994.

C. Neuman, Spin echo of spins diffusing in a bounded medium, The Journal of Chemical Physics, vol.60, p.45084511, 1974.

F. Aboitiz, A. B. Scheibel, R. S. Fisher, and E. Zaidel, Fiber composition of the human corpus callosum, Brain research, vol.598, p.143153, 1992.

Y. Assaf, T. Blumenfeld-katzir, Y. Yovel, and P. J. Basser, Axcaliber: a method for measuring axon diameter distribution from diffusion mri, MRM, vol.59, p.13471354, 2008.

M. Tariq, T. Schneider, D. C. Alexander, C. A. Wheeler-kingshott, and H. Zhang, Binghamnoddi: Mapping anisotropic orientation dispersion of neurites using diffusion mri, NeuroImage, vol.133, p.207223, 2016.

D. S. Novikov, J. H. Jensen, J. A. Helpern, and E. Fieremans, Revealing mesoscopic structural universality with diffusion, Proceedings of the National Academy of Sciences, 2014.

L. M. Burcaw, E. Fieremans, and D. S. Novikov, Mesoscopic structure of neuronal tracts from time-dependent diffusion, NeuroImage, vol.114, p.1837, 2015.

T. B. Leergaard, Quantitative histological validation of diffusion MRI fiber orientation distributions in the rat brain, PloS one, vol.5, p.8595, 2010.

A. Szafer, J. Zhong, and J. C. Gore, Theoretical model for water diffusion in tissues, Magnetic Resonance in Medicine, vol.33, p.697712, 1995.

H. Zhang, T. Schneider, C. A. Wheeler-kingshott, and D. C. Alexander, Noddi: practical in vivo neurite orientation dispersion and density imaging of the human brain, NeuroImage, vol.61, p.10001016, 2012.

J. D. Tournier, F. Calamante, D. G. Gadian, and A. Connelly, Direct estimation of the fiber orientation density function from diffusion-weighted mri data using spherical deconvolution, NeuroImage, vol.23, p.11761185, 2004.

M. Descoteaux, R. Deriche, A. Anw, T. Bio, and P. Odyssée, Deterministic and probabilistic qball tractography: from diffusion to sharp fiber distributions, INRIA Sophia Antipolis, 2007.
DOI : 10.1109/tmi.2008.2004424

M. Pizzolato, D. Wassermann, R. Deriche, and R. Fick, Orientation-dispersed apparent axon diameter via multi-stage spherical mean optimization, 2018.

C. Bingham, An antipodally symmetric distribution on the sphere, The Annals of Statistics, p.12011225, 1974.
DOI : 10.1214/aos/1176342874
URL : http://doi.org/10.1214/aos/1176342874

E. Kaden, T. R. Knsche, and A. Anwander, Parametric spherical deconvolution: inferring anatomical connectivity using diffusion MR imaging, NeuroImage, vol.37, issue.2, pp.474-488, 2007.
DOI : 10.1016/j.neuroimage.2007.05.012
URL : http://pubman.mpdl.mpg.de/pubman/item/escidoc:725262/component/escidoc:725261/sdarticle(2).pdf

E. Garyfallidis, M. Brett, B. Amirbekian, A. Rokem, S. Van-der-walt et al., Dipy, a library for the analysis of diffusion mri data, Frontiers in neuroinformatics, vol.8, 2014.

B. Jeurissen, J. D. Tournier, T. Dhollander, A. Connelly, and J. Sijbers, Multitissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data, NeuroImage, vol.103, pp.411-426, 2014.
DOI : 10.1016/j.neuroimage.2014.07.061

H. Farooq, J. Xu, J. W. Nam, D. F. Keefe, E. Yacoub et al., Microstructure imaging of crossing (MIX) white matter fibers from diffusion MRI. Scientific reports, vol.6, p.38927, 2016.
DOI : 10.1038/srep38927
URL : http://www.nature.com/articles/srep38927.pdf

S. De-santis, D. K. Jones, and A. Roebroeck, Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter, NeuroImage, vol.130, p.91103, 2016.