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Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry.

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Interpreting scan data acquired from multiple scanners: A study with Alzheimer's disease., , , , , , , , and . NeuroImage, 39 (3): 1180-1185 (2008)Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons., , , , , , , , , and . ISBI, page 14-18. IEEE, (2016)Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment., , , , , , , , , and 1 other author(s). MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 326-334. (2016)Predicting clinical scores from magnetic resonance scans in Alzheimer's disease., , , , , and . NeuroImage, 51 (4): 1405-1413 (2010)Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline., , , , , , , , , and 1 other author(s). ISBI, page 646-650. IEEE, (2016)Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry., , , , , , , , , and . NeuroImage, (2015)Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding., , , , , , , , , and 2 other author(s). CoRR, (2021)