67 citations · 85 across the 4 of their papers we have counts for
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eess.IV2022
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
Yuda Bi, Anees Abrol, Zening Fu +3
Deep learning algorithms for predicting neuroimaging data have shown considerable promise in various applications. Prior work has demonstrated that deep learning models that take a…
q-bio.QM2022★ 17 cited
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko, Gang Qu, Gemeng Zhang +5
Objective: Endophenotypes such as brain age and fluid intelligence are important biomarkers of disease status. However, brain imaging studies to identify these biomarkers often enc…