Journal

  1. Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development [PDF]

    Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D Calhoun, Julia M Stephen, Tony W Wilson, Yu-Ping Wang. NeuroImage, vol. 298, pp. 120771, Sep. 2024, doi: 10.1016/j.neuroimage.2024.120771.

  2. A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development [PDF]

    Yingying Wang, Chen Qiao, Gang Qu, Vince D Calhoun, Julia M Stephen, Tony W Wilson, Yu-Ping Wang. IEEE Transactions on Biomedical Engineering, vol. 71, no. 12, pp. 3390-3401, Dec. 2024, doi: 10.1109/TBME.2024.3423803.

  3. Explainable Multimodal Graph Isomorphism Network for Interpreting Sex Differences in Adolescent Neurodevelopment [PDF]

    Binish Patel, Anton Orlichenko, Adnan Pate, Gang Qu, Tony W Wilson, Julia M Stephen, Vince D Calhoun, Yu-Ping Wang. Applied Sciences, vol. 14(10), pp. 4144, May. 2024, doi: 10.3390/app14104144.

  4. Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis [PDF]

    Wei Wang, Li Xiao, Gang Qu, Vince D Calhoun, Yu-Ping Wang, Xiaoyan Sun. Medical Image Analysis, vol. 94, pp. 103144, Dec. 2024, doi: 10.1016/j.media.2024.103144.

  5. Interpretable cognitive ability prediction: A comprehensive gated graph transformer framework for analyzing functional brain networks [PDF]

    Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W Wilson, Julia M Stephen, Vince D Calhoun, Yu-Ping Wang. IEEE Transactions on Medical Imaging, vol. 43, no. 4, pp. 1568-1578, April. 2024, doi: 10.1109/TMI.2023.3343365.

  6. Ensemble manifold regularized multi-modal graph convolutional network for cognitive ability prediction [PDF]

    Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, and Yu-Ping Wang. IEEE Transactions on Biomedical Engineering, vol. 68, no. 12, pp. 3564-3573, Dec. 2021, doi: 10.1109/TBME.2021.3077875.

  7. Brain functional connectivity analysis via graphical deep learning [PDF]

    Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang. IEEE Transactions on Biomedical Engineering, vol. 69, no. 5, pp. 1696-1706, May 2022, doi: 10.1109/TBME.2021.3127173.

  8. Dynamic weighted hypergraph convolutional network for brain functional connectome analysis [PDF]

    Junqi Wang, Hailong Li, Gang Qu, Kim M Cecil, Jonathan R Dillman, Nehal A Parikh, Lili He. Medical Image Analysis, 2022, 102828, ISSN 1361-8415, doi: 10.1016/j.media.2023.102828.

  9. Latent Similarity Identifies Important Functional Connections for Phenotype Prediction [PDF]

    Anton Orlichenko, Gang Qu, Gemeng Zhang, Binish Patel, Tony W Wilson, Julia M Stephen, Vince D Calhoun, Yu-Ping Wang. IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2022.3232964.

  10. Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies [PDF]

    Li Xiao, Biao Cai, Gang Qu, Li Xiao, Gemeng Zhang, Julia M Stephen, Tony W Wilson, Vince D Calhoun, Yu-Ping Wang. IEEE Transactions on Biomedical Engineering, vol. 69, no. 10, pp. 3039-3050, Oct. 2022, doi: 10.1109/TBME.2022.3160447.

  11. Deep Learning in Neuroimaging: Promises and challenges [PDF]

    Weizheng Yan#, Gang Qu#, Wenxing Hu#, Anees Abrol, Biao Cai, Chen Qiao, Sergey M Plis, Yu-Ping Wang, Jing Sui, Vince D Calhoun. IEEE Signal Processing Magazine, vol. 39, no. 2, pp. 87-98, March 2022, doi: 10.1109/MSP.2021.3128348.

  12. Functional network estimation using multigraph learning with application to brain maturation study [PDF]

    Junqi Wang, Li Xiao, Wenxing Hu, Gang Qu, Tony W Wilson, Julia M Stephen, Vince D Calhoun, Yu‐Ping Wang. IEEE Transactions on Biomedical Engineering, 42: 2880–2892, 2021, doi: 10.1002/hbm.25410.

  13. Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition [PDF]

    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. IEEE Transactions on Medical Imaging, vol. 40, no. 5, pp. 1474-1483, May 2021, doi: 10.1109/TMI.2021.3057635.

  14. Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis [PDF]

    Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang. Medical Image Analysis, Volume 60, 2020, 101624, ISSN 1361-8415, doi: 10.1016/j.media.2019.101624.

Conference Proceedings

  1. A graph deep learning model for the classification of groups with different IQ using resting state fMRI [PDF]

    Gang Qu,Wenxing Hu, Li Xiao, Yu-Ping Wang. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional ImagingvProc. SPIE 11317, 113170A (28 February 2020) doi: 10.1117/12.2549274.

  2. Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence [PDF]

    Anton Orlichenko, Gang Qu, Yu-Ping Wang. Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional ImagingProc. SPIE 12036, 1203612 (4 April 2022) doi: 10.1117/12.2613172.