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Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period. (arXiv:2209.07590v1 [eess.IV])
cs.CV updates on arXiv.org arxiv.org
Deep learning algorithms for predicting neuroimaging data have shown
considerable promise in various applications. Prior work has demonstrated that
deep learning models that take advantage of the data's 3D structure can
outperform standard machine learning on several learning tasks. However, most
prior research in this area has focused on neuroimaging data from adults.
Within the Adolescent Brain and Cognitive Development (ABCD) dataset, a large
longitudinal development study, we examine structural MRI data to predict
gender and identify gender-related changes in …
arxiv brain change data deep learning gender patterns prediction