Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. - Mingliang Wang; Xiaoke Hao; Jiashuang Huang; Kangcheng Wang; Xijia Xu; Daoqiang Zhang (MICCAI (3), 2017)

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. - Qi Zhu 001; Jiuwen Zhu; Mingxia Liu 001; Xijia Xu; Daoqiang Zhang (IEEE Access, 2018)

Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. - Jiashuang Huang; Qi Zhu 001; Xiaoke Hao; Xiaomeng Shi; Shuzhan Gao; Xijia Xu; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2019)

A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. - Jiashuang Huang; Mingliang Wang; Xijia Xu; Biao Jie; Daoqiang Zhang (Medical Image Anal., 2020)

Hierarchical Structured Sparse Learning for Schizophrenia Identification. - Mingliang Wang; Xiaoke Hao; Jiashuang Huang; Kangcheng Wang; Li Shen 001; Xijia Xu; Daoqiang Zhang; Mingxia Liu 001 (Neuroinformatics, 2020)

Stacked Topological Preserving Dynamic Brain Networks Representation and Classification. - Qi Zhu 001; Ruting Xu; Ran Wang 004; Xijia Xu; Zhiqiang Zhang; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2022)