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
Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen. Prostate segmentation in CT images via spatial-constrained transductive lasso. Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2013: 2227-2234. [download]
Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen. Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer's disease. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013). Heidelberg Berlin: Springer, 2013: 275-283. [download]
Guorong Wu, Qian Wan, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen. Minimizing joint risk of mislabeling for iterative patch-based label fusion. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013). Heidelberg Berlin: Springer, 2013: 551-558. [download]
Biao Jie, Daoqiang Zhang*, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen*. Integrating multiple network properties for MCI identification. International Workshop on Machine Learning in Medical Imaging (MLMI 2013). Heidelberg Berlin: Springer, 2013: 9-16. [download]
Bo Cheng, Daoqiang Zhang*, Biao Jie, Dinggang Shen*. Sparse multimodal manifold-regularized transfer learning for MCI conversion prediction. International Workshop on Machine Learning in Medical Imaging (MLMI2013). Heidelberg Berlin: Springer, 2013: 251-259. [download]
Xiaoke Hao, Daoqiang Zhang*. Ensemble universumsvm learning for multimodal classification of Alzheimer's disease. International Workshop on Machine Learning in Medical Imaging (MLMI2013). Heidelberg Berlin: Springer, 2013: 227-234. [download]
Guorong Wu，Daoqiang Zhang，Dinggang Shen，Pingkun Yan，Kenji Suzuki，Fei Wang. Machine Learning in Medical Imaging. Proceedings of the 4th International Workshop (MLMI 2013), Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Springer, 2013.ISBN: 978-3-319-02266-6
