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Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data.

, , , , , , and . Expert Syst. Appl., 42 (15-16): 6205-6214 (2015)

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Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data., , , , , , and . Expert Syst. Appl., 42 (15-16): 6205-6214 (2015)Achromatic synesthesias - A functional magnetic resonance imaging study., , , and . NeuroImage, (2014)Neuroanatomic overlap between intelligence and cognitive factors: Morphometry methods provide support for the key role of the frontal lobes., , , , , , , , and . NeuroImage, (2013)The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment., , , , , , and . Brain Informatics, volume 6334 of Lecture Notes in Computer Science, page 78-88. Springer, (2010)Brain activation in discourse comprehension: A 3t fMRI study., , , and . NeuroImage, 41 (2): 614-622 (2008)The correlation between white-matter microstructure and the complexity of spontaneous brain activity: A difussion tensor imaging-MEG study., , , , , , , and . NeuroImage, 57 (4): 1300-1307 (2011)FreeSurfer Automatic Brain Segmentation Adaptation to Medial Temporal Lobe Structures: Volumetric Assessment and Diagnosis of Mild Cognitive Impairment., , , , , , , , , and 2 other author(s). IWINAC (2), volume 6687 of Lecture Notes in Computer Science, page 112-119. Springer, (2011)