Gang Qu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Convolutional Network

Fusion Framework

Functional Connectivity

Top Venues

IEEE Trans. Biomed. Eng.

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 298 (2024)
Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR (2024)
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging 43 (4) (2024)
Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. CoRR (2024)
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. CoRR (2024)
Wei Wang, Li Xiao, Gang Qu, Vince D. Calhoun, Yu-Ping Wang, Xiaoyan Sun
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Anal. 94 (2024)
Anton Orlichenko, Gang Qu, Gemeng Zhang, Binish Patel, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. IEEE Trans. Biomed. Eng. 70 (6) (2023)
Junqi Wang, Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh, Lili He
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. Medical Image Anal. 87 (2023)
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39 (2) (2022)
Li Xiao, Biao Cai, Gang Qu, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. IEEE Trans. Biomed. Eng. 69 (10) (2022)
Anton Orlichenko, Gang Qu, Yu-Ping Wang
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Gang Qu, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Trans. Medical Imaging 40 (5) (2021)
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR (2021)
Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)