N. Grenier, F. Basseau, M. Ries, B. Tyndal, R. Jones et al., Functional MRI of the kidney, Abdominal Imaging, vol.28, issue.2, pp.164-175, 2003.
DOI : 10.1007/s00261-001-0183-8

N. Michoux, J. P. Vallee, A. Pechere-bertschi, X. Montet, L. Buehler et al., Analysis of contrast-enhanced MR images to assess renal function, Magnetic Resonance Materials in Physics, Biology and Medicine, vol.31, issue.4, pp.167-179, 2006.
DOI : 10.1007/s10334-006-0045-z

B. Chevaillier, Y. Ponvianne, J. L. Collette, D. Mandry, M. Claudon et al., Functional semiautomated segmentation of renal dce-mri sequences, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00276131

H. Frezza-buet, Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network, Neurocomputing, vol.71, issue.7-9, pp.1191-1202, 2008.
DOI : 10.1016/j.neucom.2007.12.024

URL : https://hal.archives-ouvertes.fr/hal-00282087

B. Fritzke, A growing neural gas network learns topologies, Advances in Neural Information Processing Systems, pp.625-632, 1995.

J. P. Pluim, J. B. Maintz, and M. A. Viergever, Mutual-information-based registration of medical images: a survey, IEEE Transactions on Medical Imaging, vol.22, issue.8, pp.986-1004, 2003.
DOI : 10.1109/TMI.2003.815867

A. P. Zijdenbos, B. M. Dawant, R. A. Margolin, and A. C. Palmer, Morphometric analysis of white matter lesions