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An automatic brain tumor segmentation tool., , , , , and . EMBC, page 3339-3342. IEEE, (2013)Segmenting Brain Tumors Using Pseudo-Conditional Random Fields., , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 359-366. Springer, (2008)3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set., , , , and . ICCV, page 1-8. IEEE Computer Society, (2007)Tumor Invasion Margin on the Riemannian Space of Brain Fibers., , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 531-539. Springer, (2009)Fully Automated Brain Tumor Segmentation Using Two MRI Modalities., , , , , and . ISVC (1), volume 8033 of Lecture Notes in Computer Science, page 30-39. Springer, (2013)Segmenting brain tumors using alignment-based features., , , , and . ICMLA, IEEE Computer Society, (2005)A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation., , , and . EMBC, page 3934-3937. IEEE, (2011)Constrained Classification on Structured Data., , , , and . AAAI, page 1812-1813. AAAI Press, (2008)3D variational brain tumor segmentation on a clustered feature set., , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72591N. SPIE, (2009)Stability effects of finite difference methods on a mathematical tumor growth model., , , and . CVPR Workshops, page 125-132. IEEE Computer Society, (2010)