O. Clatz, M. Sermesant, P. Y. Bondiau, H. Delingette, S. K. Warfield et al., Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation, IEEE Transactions on Medical Imaging, vol.24, issue.10, pp.241334-1346, 2005.
DOI : 10.1109/TMI.2005.857217

D. Cobzas, P. Mosayebi, A. Murtha, and M. Jagersand, Tumor invasion margin on the riemannian space of brain fibers. Medical Image Computing and Computer- Assisted Intervention?MICCAI, pp.531-539, 2009.

V. Fonov, . Evans, . Mckinstry, D. Cr-almli, and . Collins, Unbiased nonlinear average age-appropriate brain templates from birth to adulthood, NeuroImage, vol.47, pp.102-102, 2009.
DOI : 10.1016/S1053-8119(09)70884-5

A. Giese and M. Westphal, Treatment of malignant glioma: a problem beyond the margins of resection, Journal of Cancer Research and Clinical Oncology, vol.127, issue.4, pp.217-225, 2001.
DOI : 10.1007/s004320000188

A. Gooya, G. Biros, and C. Davatzikos, Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling, IEEE Transactions on Medical Imaging, vol.30, issue.2, pp.375-390, 2011.
DOI : 10.1109/TMI.2010.2078833

H. L. Harpold, E. C. Jr, and K. R. Swanson, The Evolution of Mathematical Modeling of Glioma Proliferation and Invasion, Journal of Neuropathology and Experimental Neurology, vol.66, issue.1, p.1, 2007.
DOI : 10.1097/nen.0b013e31802d9000

C. Hogea, C. Davatzikos, and G. Biros, An image-driven parameter estimation problem for a reaction???diffusion glioma growth model with mass effects, Journal of Mathematical Biology, vol.10, issue.3, pp.793-825, 2008.
DOI : 10.1007/s00285-007-0139-x

S. Jbabdi, E. Mandonnet, H. Duffau, L. Capelle, K. R. Swanson et al., Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging, Magnetic Resonance in Medicine, vol.6, issue.3, pp.54616-624, 2005.
DOI : 10.1002/mrm.20625

E. Konukoglu, O. Clatz, B. H. Menze, B. Stieltjes, M. A. Weber et al., Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.77-95, 2010.
DOI : 10.1109/TMI.2009.2026413
URL : https://hal.archives-ouvertes.fr/inria-00616100

H. Lamecker and X. Pennec, Atlas to image-with-tumor registration based on demons and deformation inpainting, Proc. MICCAI Workshop on Computational Imaging Biomarkers for Tumors-From Qualitative to Quantitative, CIBT. Citeseer, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00616156

E. Mandonnet, J. Y. Delattre, M. L. Tanguy, K. R. Swanson, A. F. Carpentier et al., Continuous growth of mean tumor diameter in a subset of grade II gliomas, Annals of Neurology, vol.54, issue.4, pp.524-528, 2003.
DOI : 10.1002/ana.10528

B. H. Menze, E. Stretton, E. Konukoglu, and N. Ayache, Image-based modeling of tumor growth in patients with glioma, Optimal control in image processing, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00825866

B. H. Menze, K. Van-leemput, A. Honkela, E. Konukoglu, M. A. Weber et al., A Generative Approach for Image-Based Modeling of Tumor Growth, Information Processing in Medical Imaging, pp.735-747, 2011.
DOI : 10.1007/978-3-642-22092-0_60
URL : https://hal.archives-ouvertes.fr/hal-00813801

N. Sanai and M. S. Berger, Glioma Extent of Resection and Its Impact on Patient Outcome, Neurosurgery, vol.62, issue.4, p.753, 2008.
DOI : 10.1227/01.neu.0000318159.21731.cf

R. Sawaya, Extent of resection in malignant gliomas: a critical summary, Journal of Neuro-Oncology, vol.42, issue.3, pp.303-305, 1999.
DOI : 10.1023/A:1006167412835

K. Swanson and . Rostomily, A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle, British Journal of Cancer, vol.170, issue.1, pp.113-119, 2007.
DOI : 10.1002/(SICI)1096-9098(199912)72:4<199::AID-JSO4>3.0.CO;2-O

P. Tracqui, . Gc-cruywagen, . De-woodward, . Bartoo, E. Murray et al., A mathematical model of glioma growth: the effect of chemotherapy on spatio-temporal growth, Cell Proliferation, vol.32, issue.1, pp.17-31, 1995.
DOI : 10.1016/S0022-5193(87)80171-6

E. Zacharaki, C. Hogea, D. Shen, G. Biros, and C. Davatzikos, Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth, NeuroImage, vol.46, issue.3, pp.762-774, 2009.
DOI : 10.1016/j.neuroimage.2009.01.051