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Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies., , , , , , and . CoRR, (2022)Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis., , , and . ISCAS, page 1630-1634. IEEE, (2022)Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data., , and . CoRR, (2017)Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples., , , , , , , , , and 2 other author(s). NeuroImage, (2015)A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI., , , and . CoRR, (2019)A mobile and asynchronous electronic data capture system for epidemiologic studies., , , , , and . Comput. Methods Programs Biomed., 110 (3): 369-379 (2013)DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images., , , and . CoRR, (2019)ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data., , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 7 (2): 308-318 (April 2023)Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis., , , , , , , , and . IEEE Trans. Biomed. Eng., 67 (10): 2735-2744 (2020)Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning., , , , , , , , , and 11 other author(s). CoRR, (2021)