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
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]
