A. Barachant, S. Bonnet, M. Congedo, and C. Jutten, Classification of covariance matrices using a Riemannian-based kernel for BCI applications, vol.112, pp.172-178, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00820475

F. Deligianni, G. Varoquaux, B. Thirion, E. Robinson, D. Sharp et al., A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections, IPMI Conference, pp.296-307, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00627914

G. Cheng and B. Vemuri, A novel dynamic system in the space of SPD matrices with applications to appearance tracking, SIAM Journal on Imaging Sciences, vol.6, issue.16, pp.592-615, 2013.

C. Lenglet, M. Rousson, R. Deriche, and O. Faugeras, Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing, J. of Math. Imaging and Vision, vol.25, issue.3, pp.423-444, 2006.

X. Pennec, P. Fillard, and N. Ayache, A Riemannian Framework for Tensor Computing, International Journal of Computer Vision, vol.66, issue.1, pp.41-66, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00070743

T. Fletcher and S. Joshi, Riemannian Geometry for the Statistical Analysis of Diffusion Tensor Data, Signal Processing, vol.87, pp.250-262, 2007.

I. Dryden, X. Pennec, and J. Peyrat, Power Euclidean metrics for covariance matrices with application to diffusion tensor imaging, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00813769

V. Arsigny, P. Fillard, X. Pennec, and A. N. , Log-Euclidean Metrics for Fast and Simple Calculus on Diffusion Tensors, Magnetic Resonance in Medicine, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00502678

C. Lenglet, M. Rousson, and R. Deriche, DTI segmentation by statistical surface evolution, IEEE Transactions on Medical Imaging, vol.25, pp.685-700, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00070183

P. Michor, D. Petz, and A. Andai, The Curvature of the Bogoliubov-Kubo-Mori Scalar Product on Matrices. Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2000.

Y. Thanwerdas and X. Pennec, Is affine-invariance well defined on SPD matrices? A principled continuum of metrics, Proc. Geometric Science of Information, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02147020

S. Amari and H. Nagaoka, Methods of Information Geometry, 2000.

L. Skovgaard, A Riemannian geometry of the multivariate normal model, Scand. J. of Statistics, vol.11, pp.211-223, 1984.