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Predictive modelling using neuroimaging data in the presence of confounds., , , and . NeuroImage, (2017)Estimation of connectional brain templates using selective multi-view network normalization., , and . Medical Image Anal., (2020)Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks., , and . Comput. Medical Imaging Graph., (2018)Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning., , , , , and . Frontiers Comput. Neurosci., (2017)Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data., , , , and . BMC Bioinform., 20 (1): 709 (2019)Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis., , , , and . Medical Image Anal., (2023)Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis., , , , , , and . Medical Image Anal., (2021)Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data., , , , and . Comput. Biol. Chem., (2022)Identifying Glucose Metabolism Decreased Brain Regions by Independent Component Analysis and Statistical Parametric Mapping to Understand the Aging Processing., , , , , , , , and . J. Medical Imaging Health Informatics, 9 (9): 1938-1942 (2019)Universum twin support vector machine with truncated pinball loss., , and . Eng. Appl. Artif. Intell., 123 (Part C): 106427 (2023)