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Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification.

, , , , , , and . Neurocomputing, (2016)

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Deformation Based Features for Alzheimer's Disease Detection with Linear SVM., , and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 336-343. Springer, (2011)Meta-ensembles of Classifiers for Alzheimer's Disease Detection Using Independent ROI Features., , and . IWINAC (2), volume 7931 of Lecture Notes in Computer Science, page 122-130. Springer, (2013)An Ensemble of Classifiers Guided by the AAL Brain Atlas for Alzheimer's Disease Detection., and . IWANN (2), volume 7903 of Lecture Notes in Computer Science, page 107-114. Springer, (2013)A lattice computing approach for on-line fMRI analysis., , , and . Image Vis. Comput., 28 (7): 1155-1161 (2010)Hybrid dendritic computing with kernel-LICA applied to Alzheimer's disease detection in MRI., , , and . Neurocomputing, 75 (1): 72-77 (2012)Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI., , , , , , , and . Comput. Biol. Medicine, 41 (8): 600-610 (2011)A Comparison of VBM Results by SPM, ICA and LICA., , and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 429-435. Springer, (2010)Supervised classification using deformation-based features for Alzheimer's disease detection on the OASIS cross-sectional database.. KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 2191-2200. IOS Press, (2012)Classification Results of Artificial Neural Networks for Alzheimer's Disease Detection., , , , and . IDEAL, volume 5788 of Lecture Notes in Computer Science, page 641-648. Springer, (2009)Computer Aided Diagnosis of Schizophrenia Based on Local-Activity Measures of Resting-State fMRI., , and . HAIS, volume 8480 of Lecture Notes in Computer Science, page 1-12. Springer, (2014)