67 citations · 85 across the 4 of their papers we have counts for
4 papers
Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs
Yuda Bi, Anees Abrol, Jing Sui +1
The cross-modal synthesis between structural magnetic resonance imaging (sMRI) and functional network connectivity (FNC) is a relatively unexplored area in medical imaging, especia…
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…
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…
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Gang Qu, Li Xiao, Wenxing Hu +3
Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make predictions about individual behavioral and cognitive traits based on brain connectivity net…