Brief review of multiple sclerosis lesions segmentation methods on conventional magnetic resonance imaging
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[1] Hongwei Zhu,et al. Automated brain tissue segmentation and MS lesion detection using fuzzy and evidential reasoning , 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.
[2] D. Louis Collins,et al. Multivariate Statistics for Detection of MS Activity in Serial Multimodal MR Images , 2003, MICCAI.
[3] Nicholas Ayache,et al. Using SPM to Detect Evolving MS Lesions , 2001, MICCAI.
[4] Ponnada A Narayana,et al. Automatic delineation of Gd enhancements on magnetic resonance images in multiple sclerosis. , 2002, Medical physics.
[5] R Kikinis,et al. Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions. , 1995, Journal of image guided surgery.
[6] D. Louis Collins,et al. Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging , 2013, Medical Image Anal..
[7] Reto Meuli,et al. Robust parameter estimation of intensity distributions for brain magnetic resonance images , 1998, IEEE Transactions on Medical Imaging.
[8] Louis Lemieux,et al. The detection and significance of subtle changes in mixed-signal brain lesions by serial MRI scan matching and spatial normalization , 1998, Medical Image Anal..
[9] Abdel-Ouahab Boudraa,et al. Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering , 2000, Comput. Biol. Medicine.
[10] Ponnada A. Narayana,et al. Segmentation and quantification of black holes in multiple sclerosis , 2006, NeuroImage.
[11] Nicholas Ayache,et al. Revue des approches de segmentation des lésions de sclérose en plaques dans les séquences conventionnelles IRM , 2009 .
[12] Francesco Sardanelli,et al. Growing Region Segmentation Software (GRES) for quantitative magnetic resonance imaging of multiple sclerosis: intra- and inter-observer agreement variability: a comparison with manual contouring method , 2014, European Radiology.
[13] G Malandain,et al. [Approaches to segment multiple-sclerosis lesions on conventional brain MRI]. , 2009, Revue neurologique.
[14] Dominik S. Meier,et al. MRI time series modeling of MS lesion development , 2006, NeuroImage.
[15] Alan C. Evans,et al. Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis , 2002, IEEE Transactions on Medical Imaging.
[16] Daniel García-Lorenzo. Robust Segmentation of Focal Lesions on Multi-Sequence MRI in Multiple Sclerosis , 2010 .
[17] Guillaume Dugas-Phocion,et al. Segmentation d'IRM cérébrales multi-séquences et application à la sclérose en plaques. (Segmentation of multi-sequence brain mri and application to multiple slerosis) , 2006 .
[18] Karsten P. Ulland,et al. Vii. References , 2022 .
[19] Pierre Hellier,et al. STREM: A Robust Multidimensional Parametric Method to Segment MS Lesions in MRI , 2005, MICCAI.
[20] Tianzi Jiang,et al. White Matter Lesion Segmentation from Volumetric MR Images , 2004, MIAR.
[21] G. Barker,et al. Quantification of MRI lesion load in multiple sclerosis: a comparison of three computer-assisted techniques. , 1996, Magnetic resonance imaging.