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Deep Learning Approach for Classification of Mild Cognitive Impairment Subtypes., , , , , and . ICPRAM, page 655-662. SciTePress, (2017)The relationship between cortical sulcal variability and cognitive performance in the elderly., , , , , , , , , and . NeuroImage, 56 (3): 865-873 (2011)White matter integrity in mild cognitive impairment: A tract-based spatial statistics study., , , , , , , , and . NeuroImage, 53 (1): 16-25 (2010)Longitudinal changes in sulcal morphology associated with late-life aging and MCI., , , , , , , , , and . NeuroImage, (2013)Predicting the development of mild cognitive impairment: A new use of pattern recognition., , , , , , , , , and 2 other author(s). NeuroImage, 60 (2): 894-901 (2012)Automated detection of amnestic mild cognitive impairment in community-dwelling elderly adults: A combined spatial atrophy and white matter alteration approach., , , , , , , , , and 6 other author(s). NeuroImage, 59 (2): 1209-1217 (2012)Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data., , , , , and . ICPRAM, page 620-629. SciTePress, (2016)