Journal

  1. Ensemble manifold regularized multi-modal graph convolutional network for cognitive ability prediction

    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.

  2. Brain functional connectivity analysis via graphical deep learning

    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.

  3. Dynamic weighted hypergraph convolutional network for brain functional connectome analysis

    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: https://doi.org/10.1016/j.media.2023.102828.

  4. Latent Similarity Identifies Important Functional Connections for Phenotype Prediction

    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.

  5. Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies

    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.

  6. Deep Learning in Neuroimaging: Promises and challenges

    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.

  7. Functional network estimation using multigraph learning with application to brain maturation study

    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: https://doi.org/10.1002/hbm.25410

  8. Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition

    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.

  9. Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis

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

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

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

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