K. J. Behnke, M. E. Rettmann, D. L. Pham, D. Shen, S. M. Resnick et al., Automatic classification of sulcal regions of the human brain cortex using pattern recognition, Medical Imaging 2003: Image Processing, 2003.
DOI : 10.1117/12.480834

G. Li and D. Shen, Consistent sulcal parcellation of longitudinal cortical surfaces, NeuroImage, 2011.

L. Goualher, G. Procyk, E. Collins, D. L. Venugopal, R. Barillot et al., Automated extraction and variability analysis of sulcal neuroanatomy, IEEE Transactions on Medical Imaging, vol.18, issue.3, 1999.
DOI : 10.1109/42.764891

G. Lohmann and D. Y. Von-cramon, Automatic labelling of the human cortical surface using sulcal basins, Medical Image Analysis, vol.4, issue.3, 2000.
DOI : 10.1016/S1361-8415(00)00024-4

D. Rivì-ere, J. F. Mangin, D. Papadopoulos-orfanos, J. M. Martinez, V. Frouin et al., Automatic recognition of cortical sulci of the human brain using a congregation of neural networks, Med. Image Anal, 2002.

B. Fischl, M. I. Sereno, R. B. Tootell, and A. M. Dale, High-resolution intersubject averaging and a coordinate system for the cortical surface, Human Brain Mapping, vol.179, issue.4, 1999.
DOI : 10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4

M. E. Rettmann, X. Han, C. Xu, and J. L. Prince, Automated Sulcal Segmentation Using Watersheds on the Cortical Surface, NeuroImage, vol.15, issue.2, 2002.
DOI : 10.1006/nimg.2001.0975

F. Yang and F. Kruggel, Automatic segmentation of human brain sulci, Medical Image Analysis, vol.12, issue.4, 2008.
DOI : 10.1016/j.media.2008.01.003

G. Li, L. Guo, J. Nie, and T. Liu, Automatic cortical sulcal parcellation based on surface principal direction flow field tracking, NeuroImage, 2009.

Y. Shi, Z. Tu, A. L. Reiss, R. A. Dutton, A. D. Lee et al., Joint sulcal detection on cortical surfaces with graphical models and boosted priors, TMI, pp.361-73, 2009.

D. W. Shattuck, A. A. Joshi, D. Pantazis, E. Kan, R. A. Dutton et al., Semi-automated method for delineation of landmarks on models of the cerebral cortex, Journal of Neuroscience Methods, vol.178, issue.2, 2009.
DOI : 10.1016/j.jneumeth.2008.12.025

A. Cachia, J. F. Mangin, D. Rivì-ere, D. Papadopoulos-orfanos, F. Kherif et al., A generic framework for the parcellation of the cortical surface into gyri using geodesic Vorono¨?Vorono¨? diagrams, Med. Image Anal, 2003.

J. V. Stough, C. Ye, S. H. Ying, and J. L. Prince, Thalamic parcellation from multi-modal data using random forest learning, 2013 IEEE 10th International Symposium on Biomedical Imaging, 2013.
DOI : 10.1109/ISBI.2013.6556609

V. Lempitsky, M. Verhoek, . Noble, and A. Blake, Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography, 2009.
DOI : 10.1109/TMI.2007.906089

E. Konukoglu, B. Glocker, A. Criminisi, and K. Pohl, WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.9, 2012.
DOI : 10.1109/TPAMI.2012.275

C. Wachinger, P. Golland, W. Kremen, B. Fischl, and M. Reuter, BrainPrint: A discriminative characterization of brain morphology, NeuroImage, vol.109, 2015.
DOI : 10.1016/j.neuroimage.2015.01.032

H. Lombaert, L. Grady, J. Polimeni, and F. Cheriet, FOCUSR: Feature Oriented Correspondence Using Spectral Regularization--A Method for Precise Surface Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.9, 2012.
DOI : 10.1109/TPAMI.2012.276

Y. Shi, R. Lai, D. J. Wang, D. Pelletier, D. Mohr et al., Metric Optimization for Surface Analysis in the Laplace-Beltrami Embedding Space, IEEE Transactions on Medical Imaging, vol.33, issue.7, 2014.
DOI : 10.1109/TMI.2014.2313812

L. Breiman, Random forests, Mach. Learn, vol.45, 2001.

A. Criminisi and J. Shotton, Decision Forests for Computer Vision and Medical Image Analysis, 2013.
DOI : 10.1007/978-1-4471-4929-3

R. M. Rustamov, Laplace-Beltrami eigenfunctions for deformation invariant shape representation, In: Eurographics, 2007.

L. Grady and J. R. Polimeni, Discrete Calculus, 2010.
DOI : 10.1007/978-1-84996-290-2

F. Chung, Spectral Graph Theory, AMS, vol.92, 1996.
DOI : 10.1090/cbms/092

D. Mateus, R. Horaud, D. Knossow, F. Cuzzolin, and E. Boyer, Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587538
URL : https://hal.archives-ouvertes.fr/inria-00590251

H. Lombaert, M. Arcaro, and N. Ayache, Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps, In: IPMI, 2015.
DOI : 10.1007/978-3-319-19992-4_37
URL : https://hal.archives-ouvertes.fr/hal-01203570