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The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks., , , , , , , and . EMBC, page 1-6. IEEE, (2023)Region Specific Automatic Quality Assurance For MRI-Derived Cortical Segmentations., , , , , , , and . ISBI, page 1288-1291. IEEE, (2021)Towards human-guided machine learning., , , , , , , , and . IUI, page 614-624. ACM, (2019)A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs., , , , , , , , , and . EMBC, page 1-4. IEEE, (2023)Medial Tractography Analysis (MeTA) for White Matter Population Analyses Across Datasets., , , , , , , , and . NER, page 1-5. IEEE, (2023)Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration., , , , , , , , and . MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 387-395. Springer, (2023)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)Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA)., , , , , , , , , and 4 other author(s). SIPAIM, page 1-5. IEEE, (2023)