A. Prasoon, K. Petersen, C. Igel, F. Lauze, E. Dam et al., Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network , " in MICCAI, 2013.

J. Long, E. Shelhamer, and T. Darrell, Fully convolutional networks for semantic segmentation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
DOI : 10.1109/CVPR.2015.7298965

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, 2001.
DOI : 10.1109/iccv.1999.791245
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, Semantic image segmentation with deep convolutional nets and fully connected crfs, 2014.

T. Rohlfing, Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable, IEEE Transactions on Medical Imaging, vol.31, issue.2, 2012.
DOI : 10.1109/TMI.2011.2163944

S. Alchatzidis, A. Sotiras, and N. Paragios, Discrete Multi Atlas Segmentation using Agreement Constraints, Proceedings of the British Machine Vision Conference 2014, 2014.
DOI : 10.5244/C.28.20
URL : https://hal.archives-ouvertes.fr/hal-01061457

B. Fischl, D. H. Salat, E. Busa, M. Albert, M. Dieterich et al., Whole Brain Segmentation, Neuron, vol.33, issue.3, 2002.
DOI : 10.1016/S0896-6273(02)00569-X
URL : http://doi.org/10.1016/s0896-6273(02)00569-x

B. Patenaude, S. M. Smith, D. N. Kennedy, and M. Jenkinson, A Bayesian model of shape and appearance for subcortical brain segmentation, NeuroImage, vol.56, issue.3, 2011.
DOI : 10.1016/j.neuroimage.2011.02.046

A. Vedaldi and K. Lenc, Matconvnet-convolutional neural networks for matlab, 2014.