Quantification of MRI lesion load in multiple sclerosis: A comparison of three computer-assisted techniques, Magnetic Resonance Imaging, vol.14, issue.5, pp.495-505, 1996. ,
DOI : 10.1016/0730-725X(96)00018-5
Automated segmentation of multiple sclerosis lesions by model outlier detection, IEEE Transactions on Medical Imaging, vol.20, issue.8, pp.677-688, 2001. ,
DOI : 10.1109/42.938237
Top, left to right: T1-w, and PD-w images of patient 4. Bottom, left to right: automatic solution and semi-automatic solution (Red: source seed, Green: Graph Cut solution, Blue: automatic segmentation) ,
Hierarchical segmentation of multiple sclerosis lesions in multisequence MRI, Biomedical Imaging: Macro to Nano, pp.157-160, 2004. ,
URL : https://hal.archives-ouvertes.fr/inria-00615969
STREM: a robust multidimensional parametric method to segment MS lesions in MRI, Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, vol.8, pp.409-416, 2005. ,
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.657
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.105-112, 2001. ,
DOI : 10.1109/ICCV.2001.937505
adaptative graph cuts with tissue priors for brain MRI segmentation, In: International Symposium Biomedical Imaging, pp.762-765, 2006. ,
Multiple sclerosis lesions segmentation using spectral gradient and graph cuts, Proceedings of MICCAI workshop on Medical Image Analysis on Multiple Sclerosis (validation and methodological issues, pp.92-103, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00323042
Robust fitting of mixtures using the trimmed likelihood estimator, Computational Statistics & Data Analysis, vol.52, issue.1, pp.299-308, 2007. ,
DOI : 10.1016/j.csda.2006.12.024
Color and Scale: The Spatial Structure of Color Images, IEEE European Conference on Computer Vision, pp.331-341, 2000. ,
DOI : 10.1007/3-540-45054-8_22
Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics, Magnetic Resonance Imaging, vol.26, issue.6, pp.754-762, 2008. ,
DOI : 10.1016/j.mri.2008.02.001
Robust parameter estimation of intensity distributions for brain magnetic resonance images, IEEE Transactions on Medical Imaging, vol.17, issue.2, pp.172-186, 1998. ,
DOI : 10.1109/42.700730
Adaptive segmentation of MRI data, IEEE Transactions on Medical Imaging, vol.15, issue.4, pp.429-442, 1996. ,
DOI : 10.1109/42.511747
Combining Robust Expectation Maximization and Mean Shift algorithms for Multiple Sclerosis Brain Segmentation, MICCAI Workshop in Medical Image Analysis for Multiple Sclerosis (MIAMS), pp.82-91, 2008. ,
Morphometric analysis of white matter lesions in MR images: method and validation, IEEE Transactions on Medical Imaging, vol.13, issue.4, pp.716-724, 1994. ,
DOI : 10.1109/42.363096
Design and construction of a realistic digital brain phantom, IEEE Transactions on Medical Imaging, vol.17, issue.3, pp.463-468, 1998. ,
DOI : 10.1109/42.712135
A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Transactions on Medical Imaging, vol.17, issue.1, pp.87-97, 1998. ,
DOI : 10.1109/42.668698
Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space, Journal of Computer Assisted Tomography, vol.18, issue.2, pp.192-205, 1994. ,
DOI : 10.1097/00004728-199403000-00005
Fast robust automated brain extraction, Human Brain Mapping, vol.20, issue.3, pp.143-155, 2002. ,
DOI : 10.1002/hbm.10062
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