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Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3.

, , , , , , , , , and . Frontiers Neuroinformatics, (2019)

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FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers., , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 548-555. Springer, (2017)The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks., , , , , , , and . EMBC, page 1-6. IEEE, (2023)Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium., , , , , , , , , and 119 other author(s). NeuroImage, (December 2023)Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI., , , and . EMBC, page 1-5. IEEE, (2023)Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting., , , , and . EMBC, page 1-6. IEEE, (2023)Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis., , , , , , , , , and 4 other author(s). CoRR, (2023)Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction., , , , , , , , and . SIPAIM, page 1-5. IEEE, (2023)FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain., , , , and . ISBI, page 708-711. IEEE, (2018)A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport., , , , , , , , , and 4 other author(s). MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 169-176. Springer, (2020)Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model., , , , , , , and . ISBI, page 1145-1149. IEEE, (2021)