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Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons.

, , , , , , , , , and . ISBI, page 14-18. IEEE, (2016)

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An automated normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 614453. SPIE, (2006)Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics., , , , , , and . ISBI, page 1555-1559. IEEE, (2018)Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease., , , , , , , , and . EMBC, page 427-4631. IEEE, (2018)Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons., , , , , , , , , and . ISBI, page 14-18. IEEE, (2016)Postprandial glucagon-like peptide-1 (GLP-1) response is positively associated with changes in neuronal activity of brain areas implicated in satiety and food intake regulation in humans., , , , , , and . NeuroImage, 35 (2): 511-517 (2007)Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65142B. SPIE, (2007)Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model., , , , , , , and . ISBI, page 1-5. IEEE, (2022)Predicting future cognitive decline with hyperbolic stochastic coding., , , , , , , , , and 2 other author(s). Medical Image Anal., (2021)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)Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories., , , , , , , and . SIPAIM, volume 10572 of SPIE Proceedings, page 105720J. SPIE, (2017)