D. Huttenlocher, D. Klanderman, and A. Rucklige, Comparing images using the Hausdorff distance, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.9, pp.850-863, 1993.
DOI : 10.1109/34.232073

L. Dice, Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945.
DOI : 10.2307/1932409

K. H. Zou, S. K. Warfield, A. Bharatha, C. M. Tempany, M. R. Kaus et al., Statistical validation of image segmentation quality based on a spatial overlap index1, Academic Radiology, vol.11, issue.2, pp.178-89, 2004.
DOI : 10.1016/S1076-6332(03)00671-8

G. Gerig, M. Jomier, and M. Chakos, Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation, Proc. of MICCAI, pp.516-523, 2001.
DOI : 10.1007/3-540-45468-3_62

S. K. Warfield, K. H. Zou, and W. M. Wells, Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation, IEEE Transactions on Medical Imaging, vol.23, issue.7, pp.903-921, 2004.
DOI : 10.1109/TMI.2004.828354

N. I. Weisenfeld and S. K. Warfield, Automatic segmentation of newborn brain MRI, NeuroImage, vol.47, issue.2, pp.564-572, 2009.
DOI : 10.1016/j.neuroimage.2009.04.068

T. Rohlfing, R. Brandt, R. Menzel, and C. Maurer, Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains, NeuroImage, vol.21, issue.4, pp.1428-1442, 2004.
DOI : 10.1016/j.neuroimage.2003.11.010

O. Commowick, V. Grégoire, and G. Malandain, Atlas-based delineation of lymph node levels in head and neck computed tomography images, Radiotherapy and Oncology, vol.87, issue.2, pp.281-289, 2008.
DOI : 10.1016/j.radonc.2008.01.018
URL : https://hal.archives-ouvertes.fr/inria-00616080

B. A. Landman, J. A. Bogovic, and J. L. Prince, Efficient anatomical labeling by statistical recombination of partially label datasets, Proc. of ISMRM, p.269, 2009.

A. Dempster, N. Laird, and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical SocietySeries B), vol.39, 1977.

G. Mclachlan and T. Krishnan, The EM Algorithm and Extensions, 1997.

A. Guimond, J. Meunier, and J. Thirion, Average Brain Models: A Convergence Study, Computer Vision and Image Understanding, vol.77, issue.2, pp.192-210, 2000.
DOI : 10.1006/cviu.1999.0815
URL : https://hal.archives-ouvertes.fr/inria-00615030