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Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis.

, , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 379-386. Springer, (2012)

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Animal: Validation and Applications of Nonlinear Registration-Based Segmentation., and . IJPRAI, 11 (8): 1271-1294 (1997)On the Classification of Temporal Lobe Epilepsy Using MR Image Appearance., , , and . ICPR (1), page 520-523. IEEE Computer Society, (2002)Tuning and comparing spatial normalization methods., , , and . Medical Image Analysis, 8 (3): 311-323 (2004)MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls., , , , , and . IEEE Trans. Med. Imaging, 27 (4): 509-520 (2008)Retrospective Evaluation of Inter-subject Brain Registration., , , , , , , , , and 1 other author(s). IEEE Trans. Med. Imaging, 22 (9): 1120-1130 (2003)Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis., , , , , , , and . NeuroImage, 52 (4): 1261-1267 (2010)Volumetric analysis of medial temporal lobe structures in brain development from childhood to adolescence., , , and . NeuroImage, (2013)Development of cortical shape in the human brain from 6 to 24 months of age via a novel measure of shape complexity., , , , , , , , , and 6 other author(s). NeuroImage, (2016)Clustering of atlas-defined cortical regions based on relaxation times and proton density., , , and . NeuroImage, 47 (2): 523-532 (2009)Unbiased average age-appropriate atlases for pediatric studies., , , , , and . NeuroImage, 54 (1): 313-327 (2011)