G. Andrew, R. Arora, J. Bilmes, and K. Livescu, Deep Canonical Correlation Analysis, Proc. Mach. Learn. Res, vol.28, issue.3, pp.1247-1255, 2013.

D. M. Blei, A. Kucukelbir, and J. D. Mcauliffe, Variational Inference: A Review for Statisticians, 2016.

B. Dubois, H. H. Feldman, C. Jacova, H. Hampel, and J. L. Molinuevo, Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria, Lancet. Neurol, vol.13, issue.6, pp.614-643, 2014.

S. Haufe, F. Meinecke, K. Görgen, S. Dähne, and J. D. Haynes, On the interpretation of weight vectors of linear models in multivariate neuroimaging, Neuroimage, vol.87, pp.96-110, 2014.

H. Hotelling, Relations Between Two Sets of Variates, Biometrika, vol.28, issue.3/4, p.321, 1936.

S. Y. Huang, M. H. Lee, and C. K. Hsiao, Nonlinear measures of association with kernel canonical correlation analysis and applications, J. Stat. Plan. Inference, vol.139, issue.7, pp.2162-2174, 2009.

C. R. Jack, D. A. Bennett, K. Blennow, M. C. Carrillo, and B. Dunn, NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimer's Dement, vol.14, pp.535-562, 2018.

J. R. Kettenring, Canonical analysis of several sets of variables, Biometrika, vol.58, issue.3, pp.433-451, 1971.

D. P. Kingma and J. Ba, Adam: A Method for Stochastic Optimization, vol.6, 2014.

D. P. Kingma and M. Welling, Auto-Encoding Variational Bayes, Proc. 2nd Int. Conf. Learn. Represent. (ICLR2014), 2014.

A. Klami, V. Seppo, and S. Kaski, Bayesian Canonical Correlation Analysis, J. Mach. Learn. Res, vol.14, pp.965-1003, 2013.

J. Liu and V. D. Calhoun, A review of multivariate analyses in imaging genetics. Front. Neuroinform, vol.8, p.29, 2014.

Y. Luo, D. Tao, K. Ramamohanarao, C. Xu, and Y. Wen, Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction, IEEE Trans. Knowl. Data Eng, vol.27, issue.11, pp.3111-3124, 2015.
DOI : 10.1109/icde.2016.7498374

URL : http://arxiv.org/pdf/1502.02330

N. Tzourio-mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, and O. Etard, Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain, Neuroimage, vol.15, issue.1, pp.273-289, 2002.