Y. Boykov, Graph Cuts and Efficient N-D Image Segmentation, International Journal of Computer Vision, vol.18, issue.9, pp.109-131, 2006.
DOI : 10.1007/s11263-006-7934-5

J. Dowling, Automatic atlas-based segmentation of the prostate. www.wiki.namic .org/Wiki, 2009.

Y. Gao, A Coupled Global Registration and Segmentation Framework With Application to Magnetic Resonance Prostate Imagery, IEEE Transactions on Medical Imaging, vol.29, issue.10, pp.17-81, 2010.
DOI : 10.1109/TMI.2010.2052065

E. Geremia, Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images, MICCAI, pp.111-118, 2010.
DOI : 10.1007/978-3-642-15705-9_14

A. Gubern-merida, Atlas Based Segmentation of the Prostate in MR Images. www.wiki.namic.org/Wiki, Merida Paper, 2012.

S. Klein, Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information, Medical Physics, vol.25, issue.11, pp.1407-1417, 2008.
DOI : 10.1109/TMI.2006.880587

S. Martin, Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model, Medical Physics, vol.2353, issue.8, pp.1579-1590, 2010.
DOI : 10.1118/1.3315367
URL : https://hal.archives-ouvertes.fr/hal-00456598

J. Thirion, Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-260, 1998.
DOI : 10.1016/S1361-8415(98)80022-4