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

 Daoqiang Zhang, Dinggang Shen.  Semi-supervised multimodal classification of Alzheimer's disease.  The 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2011: 1628-1631.                     [download]

 Daoqiang Zhang, Dinggang Shen.  Multi-modal multi-task learning for joint prediction of clinical scores in alzheimer's disease.  International Workshop on Multimodal Brain Image Analysis. Heidelberg Berlin: Springer, 2011: 60-67.                     [download]

 Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen.  Confidence-guided sequential label fusion for multi-atlas based segmentation.  International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2011: 643-650.                     [download]

 Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen.  Identification of individuals with MCI via multimodality connectivity networks.  International Conference on Medical Image Computing and Computer-Assisted Intervention. Heidelberg Berlin: Springer, 2011: 277-284.                     [download]

 Bo Cheng, Daoqiang Zhang, SongCan Chen, Dinggang Shen.  Predicting clinical scores using semi-supervised multimodal relevance vector regression.  International Workshop on Machine Learning in Medical Imaging. Heidelberg Berlin: Springer, 2011: 241-248.                     [download]

 Daoqiang Zhang, Dinggang Shen.  MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease.  International Workshop on Machine Learning in Medical Imaging. Heidelberg Berlin: Springer, 2011: 344-351.                     [download]

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