These papers are made available for personal use only, subject to author's and publisher's copyright.
Journal Publications
Daoqiang Zhang*, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu*. Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE transactions on medical imaging, 2018, 37(7): 1711-1722. [download]
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang*. WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. IEEE Transactions on Cybernetics, 2018, 48(2): 486-499. [download]
Biao Jie, Mingxia Liu, Daoqiang Zhang*, Dinggang Shen*. Sub-network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Transactions on Image Processing, 2018, 27(5): 2340-2353. [download]
Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang. Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access, 2018, 6: 78065-78076. [download]
Daoqiang Zhang, Liyang Tu, Long-Jiang Zhang, Biao Jie, Guang-Ming Lu. Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy. Brain imaging and behavior, 2018, 12(3): 901-911. [download]
Xiaoke Hao, Xiaohui Yao, Shannon L Risacher, Andrew J Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang. Identifying candidate genetic associations with MRI-derived AD-related ROI via tree-guided sparse learning. IEEE/ACM transactions on computational biology and bioinformatics, 2018, 16(6): 1986-1996. [download]
Conference Publications
Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang*. Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2016: 1-9. [download]
Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu*. Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. International Workshop on Machine Learning in Medical Imaging. Heidelberg Berlin: Springer, 2016: 1-9. [download]
Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L, Risacher, Andrew J, Saykin, Daoqiang Zhang*, Li Shen*. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Pacific Symposium on Biocomputing (PSB 2016), Hawaii, USA. Neuroinformatics, 2016: 1-14. [download]
