Integration of sulcal and functional information for multimodal neuronavigation, Journal of Neurosurgery, vol.96, issue.4, pp.713-723, 2002. ,
DOI : 10.3171/jns.2002.96.4.0713
URL : https://hal.archives-ouvertes.fr/inserm-00331751
IMAGE GUIDANCE IN NEUROSURGICAL PROCEDURES, THE "VISAGES" POINT OF VIEW, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1056-1059, 2007. ,
DOI : 10.1109/ISBI.2007.357037
URL : https://hal.archives-ouvertes.fr/inserm-00152147
Image-guidance for surgical procedures, Physics in Medicine and Biology, vol.51, issue.14, pp.505-540, 2006. ,
DOI : 10.1088/0031-9155/51/14/R01
Model-updated image guidance: initial clinical experiences with gravity-induced brain deformation, IEEE Transactions on Medical Imaging, vol.18, issue.10, pp.866-874, 1999. ,
DOI : 10.1109/42.811265
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.4878
Intraoperative Brain Shift and Deformation: A Quantitative Analysis of Cortical Displacement in 28 Cases, Neurosurgery, vol.43, issue.4, 1998. ,
DOI : 10.1097/00006123-199810000-00010
Measurement and analysis of brain deformation during neurosurgery, IEEE Transactions on Medical Imaging, vol.22, issue.1, pp.82-92, 2003. ,
DOI : 10.1109/TMI.2002.806596
Assessment of human brain water content by cerebral bioelectrical impedance analysis: a new technique and its application to cerebral pathological conditions, pp.1064-1074, 2002. ,
Nonrigid brain registration: synthesizing full volume deformation fields from model basis solutions constrained by partial volume intraoperative data, Computer Vision and Image Understanding, vol.89, issue.2-3, pp.299-317, 2003. ,
DOI : 10.1016/S1077-3142(03)00005-5
Maximum Likelihood Estimation of the Bias Field in MR Brain Images: Investigating Different Modelings of the Imaging Process, 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'2001, pp.811-819, 2001. ,
DOI : 10.1007/3-540-45468-3_97
URL : https://hal.archives-ouvertes.fr/inria-00615873
Fast Non Local Means Denoising for 3D MR Images, 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.33-40, 2006. ,
DOI : 10.1007/11866763_5
Evaluation of a new optimisation algorithm for rigid registration of MRI data, Medical Imaging 2007: Image Processing, p.651206, 2007. ,
DOI : 10.1117/12.707931
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, NeuroImage, vol.31, issue.3, pp.31-1116, 2006. ,
DOI : 10.1016/j.neuroimage.2006.01.015
Brain Segmentation with Competitive Level Sets and Fuzzy Control, 19th International Conference on Information Processing in Medical Imaging, IPMI'2005, pp.333-344, 2005. ,
DOI : 10.1007/11505730_28
URL : https://hal.archives-ouvertes.fr/inserm-00137473
Statistical validation of image segmentation quality based on a spatial overlap index1, Academic Radiology, vol.11, issue.2, pp.178-189, 2004. ,
DOI : 10.1016/S1076-6332(03)00671-8
An atlas-based method to compensate for brain shift: Preliminary results, Med Image Anal 11, pp.128-145, 2007. ,
DOI : 10.1016/j.media.2006.11.002
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819812
Automated brain shift correction using a pre-computed deformation atlas, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, p.61411, 2006. ,
DOI : 10.1117/12.652350
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3602
Measurement of introperative brain surface deformation under a craniotomy, pp.514-528, 1998. ,
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.1334-1346, 2005. ,
DOI : 10.1109/TMI.2005.857217