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The Statistical Analysis of the Varying Brain., , , , , , , , , and 9 other author(s). SSP, page 700-704. IEEE, (2023)Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning., , , , , , , , , and 11 other author(s). CoRR, (2021)Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization., , , , , , , , , and 1 other author(s). NeuroImage, (July 2023)Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI., , , , , , , , and . NeuroImage, (2014)A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies., , , , , , and . NeuroImage, (2020)Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering., , , , , , , , , and 18 other author(s). CoRR, (2023)Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)