J. Zhang, L. Z. Tong, L. Wang and N. Li, “Texture Analysis of Multiple Sclerosis: A Comparative Study,” Magnetic Resonance Imaging, Vol. 26, No. 8, 2008, pp. 1160-1166. doi:10.1016/j.mri.2008.01.016
 D. H. Miller, R. I. Grossman, S. C. Reingold and F. Mc-Farlan, “The Role of Magnetic Resonance Techniques in Understanding and Managing Multiple Sclerosis,” Brain, Vol. 121, No. 1, 1998, pp. 3-24. doi:10.1093/brain/121.1.3
 D. Yamamoto, et al., “Computer-Aided Detection of Multiple Sclerosis Lesions in Brain Magnetic Resonance Images: False Positive Reduction Scheme Consisted of Rule-Based, Level Set Method, and Support Vector Machine,” Computerized Medical Imaging and Graphics, Vol. 34, No. 5, 2010, pp. 404-413. doi:10.1016/j.compmedimag.2010.02.001
 P. Anbeek, K. L. Vincken and M. A. Viergever, “Automated MS-Lesion Segmentation by K-Nearest Neighbor Classification,” MIDAS Journal, 2008. http://hdl.handle.net/10380/1448
 F. Rousseau, F. Blanc, J. de Seze, L. Rumbach and J. Armspach, “An a Contrario Approach for Outliers Segmentation: Application to Multiple Sclerosis in MRI,” 5th IEEE International Symposium, Paris, 2008, pp. 9-12.
 B. Johnston, M. S. Atkins, B. Mackiewich and M. Anderson, “Segmentation of Multiple Sclerosis Lesions in Intensity Corrected Multispectral MRI,” IEEE Transactions on Medical Imaging, Vol. 15, No. 2, 1996, pp. 154-169. doi:10.1109/42.491417
 A. O. Boudraa, et al., “Automated Segmentation of Mul-tiple Sclerosis Lesions in Multispectral MR Imaging Using Fuzzy Clustering,” Computers in Biology and Medicine, Vol. 30, No. 1,2000, pp. 23-40.
 K. V. Leemput, F. Maes, D. Vandermeulen, A. Colchester and P. Suetens, “Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection,” IEEE Transactions on Medical Imaging, Vol. 20, No. 8, 2001, pp. 677-688. doi:10.1109/42.938237
 A. P. Zijdenbos, R. Forghani and A. C. Evans, “Automatic ‘Pipeline’ Analysis of 3-D MRI Data for Clinical Trials: Application to Multiple Sclerosis,” IEEE Transactions on Medical Imaging, Vol. 21, No. 10, 2002, pp. 1280-1291. doi:10.1109/TMI.2002.806283
 F. Kruggel, S. P. Joseph and H.-J. Gertz, “Texture-Based Segmentation of Diffuse Lesions of the Brain’s White Matter,” NeuroImage, Vol. 39, No. 3, 2008, pp. 987-996. doi:10.1016/j.neuroimage.2007.09.058
 W. F. Liu, X. X. Zhou, G. L. Jiang and L. Z. Tong, “Texture Analysis of MRI in Patients with Multiple Sclerosis Based on the Gray-Level Difference Statistics,” Education Technology and Computer Science, Vol. 3, 2009, pp. 771-774.
 A. Pozdnukhov and M. Kanevski, “Monitoring Network Optimisation for Spatial Data Classification Using Support Vector Machines,” International Journal of Environment and Pollution, Vol. 28, No. 3-4, 2006, pp. 465-484.
 M. Kanevski, M. Maignan and A. Pozdnukhov, “Active Learning of Environmental Data Using Support Vector Machines,” Conference of the International Association for Mathematical Geology, Toronto, 21-26 August 2005.
 R. Khayati, M. Vafadust, F. Towhidkhah and S. M. Nabavi, “Fully Automatic Segmentation of Multiple Sclerosis Lesions in Brain MR FLAIR Images Using Adaptive Mixtures Method and Markov Random Field Model,” Computers in Biology and Medicine, Vol. 38, 2008, pp. 379-390.
 W. I. McDonald, et al., “Recommendation Diagnostic Criteria for Multiple Sclerosis: Guidelines from the International Panel on the Diagnosis of Multiple Sclerosis,” Annals of Neurology, Vol. 50, 2001, pp. 121-127.
 A. Younis, M. Ibrahim, M. Kabuka and N. John, “An Artificial Immune-Activated Neural Network Applied to Brain 3D MRI Segmentation,” Journal of Digital Imaging, Vol. 21, Suppl. 1, 2008, pp. S69-S88.
 A. K. Jain, R. P. W. Duin and J. Mao, “Statistical Pattern Recognition: Review,” IEEE Transactions Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, 2000, pp. 4-37. doi:10.1109/34.824819
 D. Garcia-Lorenzo, L. Lecoeur, D. Arnold and D. L. Collins, “Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts,” Medical Image Computing and Computer Assisted Intervention, London, 20-24 September 2009, pp. 584-591.
 D. Goldberg-Zimring, H. Azhari, S. Miron and A. Achiron, “3-D Surface Reconstruction of Multiple Sclerosis Lesions Using Spherical Harmonics,” Magnetic Resonance Imaging, Vol. 46, 2001, pp. 756-766.
 J. Lecoeur, et al., “Multiple Sclerosis Lesions Segmentation using Spectral Gradient and Graph Cuts,” Proceedings of MICCAI Workshop on Medical Image Analysis on Multiple Sclerosis, New York, September 2008.