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Intrinsic neurocognitive network connectivity differences between normal aging and mild cognitive impairment are associated with cognitive status and age

, , , , and . Neurobiol. Aging, (January 2019)

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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)Development and evaluation of a high resolution 0.5mm isotropic T1-weighted template of the older adult brain., , , , , and . NeuroImage, (2022)Fast mesh data augmentation via Chebyshev polynomial of spectral filtering., , , and . Neural Networks, (2021)Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease., , , , , , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 172-182. Springer, (2023)Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks., , , , , and . CoRR, (2018)Using ProtoPNet for Interpretable Alzheimer's Disease Classification., , , , and . Canadian AI, Canadian Artificial Intelligence Association, (2021)Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia., , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 437-445. Springer, (2018)A unified framework for personalized regions selection and functional relation modeling for early MCI identification., , , , and . NeuroImage, (2021)3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data., , and . Comput. Biol. Medicine, (2021)