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Quasi-Conformally Flat Mapping the Human Cerebellum., , , , , , and . MICCAI, volume 1679 of Lecture Notes in Computer Science, page 279-286. Springer, (1999)Spatial SVM for feature selection and fMRI activation detection., , and . IJCNN, page 1463-1469. IEEE, (2006)Cortical Surface Flattening Using Least Square Conformal Mapping with Minimal Metric Distortion., , , , , and . ISBI, page 77-80. IEEE, (2004)Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover., , , , , , , and . IPMI, volume 1230 of Lecture Notes in Computer Science, page 259-270. Springer, (1997)Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms., , , , , and . NeuroImage, 33 (3): 855-866 (2006)Putting our heads together: a consensus approach to brain/non-brain segmentation in T1-weighted MR volumes., , , , , and . NeuroImage, 22 (3): 1262-1270 (2004)A Java-based fMRI Processing Pipeline Evaluation System for Assessment of Univariate General Linear Model and Multivariate Canonical Variate Analysis-based Pipelines., , , , , and . Neuroinformatics, 6 (2): 123-134 (2008)Impact of acquisition protocols and processing streams on tissue segmentation of T1 weighted MR images., , , , and . NeuroImage, 29 (1): 185-202 (2006)The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves., , , , , , , and . NeuroImage, 15 (4): 772-786 (2002)A symbolic environment for visualizing activated foci in functional neuroimaging datasets., , , , , , , and . Medical Image Anal., 2 (3): 215-226 (1998)