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

 Lipeng Wang, FeiFei, Biao Jie, Daoqiang Zhang*  Combining multiple network features for mild cognitive impairment classification.  The 2014 IEEE International Conference on Data Mining Workshop. IEEE, 2014: 996-1003.                 [download]

 Biao Jie, Dinggang Shen, Daoqiang Zhang*  Brain connectivity hyper-network for MCI classification  International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2014: 724-732.                     [download]

 Xiaoke Hao, Jintai Yu, Daoqiang Zhang*  Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning.  International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2014: 757-764.                     [download]

 Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang*  Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment.  2014 International Workshop on Pattern Recognition in Neuroimaging. IEEE, 2014: 1-4.                     [download]

 Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang*.  The New Graph Kernels on Connectivity Networks for Identification of MCI.  International Workshop on Machine Learning and Interpretation in Neuroimaging. Heidelberg Berlin: Springer, 2014: 12-20.                     [download]

 Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang*  Label-alignment-based multi-task feature selection for multimodal classification of brain disease.  International Workshop on Machine Learning and Interpretation in Neuroimaging. Heidelberg Berlin: Springer, 2014: 51-59.                     [download]

Intelligence BRain Analysis through Images and Networks Group,Powerd by s.huang,nuaa