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Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis.

, , and . MLINI@NIPS, volume 9444 of Lecture Notes in Computer Science, page 107-114. Springer, (2014)

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Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis., , and . MLINI@NIPS, volume 9444 of Lecture Notes in Computer Science, page 107-114. Springer, (2014)Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images., , , , , , , and . CVPR, page 2705-2712. IEEE Computer Society, (2014)A 4D hyperspherical interpretation of q-space., , , , and . Medical Image Anal., 21 (1): 15-28 (2015)Multi-resolution statistical analysis on graph structured data in neuroimaging., , , , , and . ISBI, page 1548-1551. IEEE, (2015)Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease., , , , , , , and . ISBI, page 572-576. IEEE, (2020)Age-related changes in neural volume and microstructure associated with interleukin-6 are ameliorated by a calorie-restricted diet in old rhesus monkeys., , , , , , , , , and 3 other author(s). NeuroImage, 51 (3): 987-994 (2010)Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease., , , , , and . Brain Connect., 9 (2): 162-173 (2019)Canonical Correlation Analysis on Riemannian Manifolds and Its Applications., , , , , and . ECCV (2), volume 8690 of Lecture Notes in Computer Science, page 251-267. Springer, (2014)Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data., , , , and . ICCV, page 10620-10630. IEEE, (2019)A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure., , , , and . AAAI, page 1157-1163. AAAI Press, (2014)