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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

 Muhammad Yousefnezhad, Daoqiang Zhang.  Weighted Spectral Cluster Ensemble  2015 IEEE International Conference on Data Mining (ICDM).IEEE, 2015: 549-558                    [download]

 Bo Cheng, Mingxia Liu, Daoqiang Zhang*.  Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease.  The 2015 International Workshop on Machine Learning in Medical Imaging.Heidelberg Berlin: Springer, 2015: 238-245                    [download]

 Mingxia Liu, Daoqiang Zhang, Dinggang Shen*  Inherent structure-guided multi-view learning for Alzheimer's disease and mild cognitive impairment classification.  The International Workshop on Machine Learning in Medical Imaging.Heidelberg Berlin: Springer, 2015: 296-303                    [download]

 Liang Sun, Chen Zu, Daoqiang Zhang*  Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation.  The 2015 International Workshop on Patch-based Techniques in Medical Imaging.Heidelberg Berlin: Springer, 2015: 128-136                    [download]

 Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang*.  Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification.  The 2015 International Workshop on Pattern Recognition in NeuroImaging(PRNI 2015).IEEE, 2015: 45-48.                    [download]

 Mingxia Liu, Daoqiang Zhang, EhsanAdeli-Mosabbeb,Dinggang Shen*  Relationship induced multi-atlas learning for alzheimer's disease diagnosis  International MICCAI Workshop on Medical Computer Vision. Heidelberg Berlin: Springer, 2015: 24-33.                    [download]

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