A graph deep learning model for the classification of groups with different IQ using resting state fMRI. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. - Xiaoshuang Shi; Hai Su; Fuyong Xing; Yun Liang 012; Gang Qu 002; Lin Yang 002 (Medical Image Anal., 2020)

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2021)

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Junqi Wang 001; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. - Wenxing Hu; Xianghe Meng; Yuntong Bai; Aiying Zhang; Gang Qu 002; Biao Cai; Gemeng Zhang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2021)

Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. - Anton Orlichenko; Gang Qu 002; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep Learning in Neuroimaging: Promises and challenges. - Weizheng Yan; Gang Qu 002; Wenxing Hu; Anees Abrol; Biao Cai; Chen Qiao; Sergey M. Plis; Yu-Ping Wang 002; Jing Sui; Vince D. Calhoun (IEEE Signal Process. Mag., 2022)

Brain Functional Connectivity Analysis via Graphical Deep Learning. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Junqi Wang 001; Yuntong Bai; Beenish Patel; Kun Zhang 012; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. - Li Xiao 002; Biao Cai; Gang Qu 002; Gemeng Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. - Junqi Wang 001; Hailong Li; Gang Qu 002; Kim M. Cecil; Jonathan R. Dillman; Nehal A. Parikh; Lili He 003 (Medical Image Anal., 2023)

Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. - Anton Orlichenko; Gang Qu 002; Gemeng Zhang; Binish Patel; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2023)

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Aiying Zhang; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. - Ziyu Zhou; Anton Orlichenko; Gang Qu 002; Zening Fu; Vince D. Calhoun; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. - Anton Orlichenko; Gang Qu 002; Ziyu Zhou; Anqi Liu; Hong-Wen Deng; Zhengming Ding; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2024)

Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. - Wei Wang 018; Li Xiao 002; Gang Qu 002; Vince D. Calhoun; Yu-Ping Wang 002; Xiaoyan Sun 001 (Medical Image Anal., 2024)

Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. - Longyun Chen; Chen Qiao; Kai Ren; Gang Qu 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (NeuroImage, 2024)

Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Kun Zhang 012; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2024)

A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. - Yingying Wang; Chen Qiao; Gang Qu 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2024)

Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks. - Gang Qu 002; Ziyu Zhou; Vince D. Calhoun; Aiying Zhang; Yu-Ping Wang 002 (Medical Image Anal., 2025)

A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery. - Faming Xu; Yiding Wang; Chen Qiao; Gang Qu 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (CoRR, 2025)