近期论文
查看导师最新文章
(温馨提示：请注意重名现象，建议点开原文通过作者单位确认)
Shao W, Peng Y, Zu C, Wang M, and Zhang D. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics 80, 101663,
Li W, Liu M, Zhang D. Nyström Subspace Learning for Large-scale SVMs. arXiv preprint arXiv:2002.08937,
Huang J, Zhou L, Wang L and Zhang D. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Transactions on Medical Imaging, .
Hao X, Bao Y, Guo Y, Yu M, Zhang D, Shannon L.R., et al. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis 60, 101625(3), .
Zhu Q, Xu N, Huang S, Qian J and Zhang D. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. International Journal of Machine Learning and Cybernetics, 11 (2), 463-474, .
Zhu Q, Xu X, Yuan N, Zhang Z, Guan D, Huang SJ, and Zhang D. Latent Correlation Embedded Discriminative Multi-Modal Data Fusion. Signal Processing, 107466(1), .
Ma K, Yu J, Shao W, Xu X, Zhang Z, and Zhang D. Functional Overlaps Exist in Neurological and Psychiatric Disorders: A Proof from Brain Network Analysis. Neuroscience, 425, 39-48,
Yousefnezhad M, Selvitella A, Han L, and Zhang D. Supervised Hyperalignment for multi-subject fMRI data alignment.arXiv preprint arXiv:2001.02894,
Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Transactions on Medical Imaging, .
Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang. Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification. IEEE Journal of Biomedical and Health Informatics, .
Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Transactions on Biomedical Engineering, .
Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu. High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI. IEEE Transactions on Image Processing, .
Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, .
Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li, UNC/UMN Baby Connectome Project Consortium. Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage, , 198: 114-124.
Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang. Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing, , 355: 143-154.
Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Jessica R Cohen, Daoqiang Zhang, Guorong Wu. Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning. Brain imaging and behavior, , 13(4): 879-892.
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu. Identifying autism spectrum disorder with multi-site fMRI via low-rank domain adaptation. IEEE Transactions on Medical Imaging, .
Wei Shao, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang, Kun Huang. Integrative analysis of pathological images and multi-dimensional genomic data for early-stage cancer prognosis. IEEE transactions on medical imaging, , 39(1): 99-110.
Liang Sun, Li Zhang, Daoqiang Zhang. Multi-Atlas Based Methods in Brain MR Image Segmentation. Chinese Medical Sciences Journal 34.2 (): 110-119.
Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang. Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinformatics, , 35(11): 1948-1957.
Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu. Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artificial intelligence in medicine, , 96: 12-24.
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics, : 1-15.
Muhammad Yousefnezhad, Daoqiang Zhang. Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics, , 17(2): 197-210.
Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu. Multi-task exclusive relationship learning for Alzheimer's disease progression prediction with longitudinal data. Medical image analysis, , 53: 111-122.
Bo Cheng, Mingxia Liu, Daoqiang Zhang, Dinggang Shen, Alzheimer's Disease Neuroimaging Initiative. Robust multi-label transfer feature learning for early diagnosis of Alzheimer's disease. Brain imaging and behavior, , 13(1): 138-153.
Wei Shao, Sheng-Jun Huang, MingXia Liu, Daoqiang Zhang. Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages. IEEE/ACM transactions on computational biology and bioinformatics, .
南航计算机学院王立松教授 张道强 - 南京航空航天大学 - 计算机科学与技术学院/人工智能学院...
