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Journal Publications

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, 2019.    [download]

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, 2019.    [download]

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, 2019.    [download]

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, 2019.    [download]

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, 2019.    [download]

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, 2019, 198: 114-124.    [download]

Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang.  Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing, 2019, 355: 143-154.    [download]

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, 2019, 13(4): 879-892.    [download]

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, 2019.    [download]

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, 2019, 39(1): 99-110.    [download]

Liang Sun, Li Zhang, Daoqiang Zhang.  Multi-Atlas Based Methods in Brain MR Image Segmentation. Chinese Medical Sciences Journal 34.2 (2019): 110-119.    [download]

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, 2019, 35(11): 1948-1957.    [download]

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, 2019, 96: 12-24.    [download]

Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu.  Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics, 2019: 1-15.    [download]

Muhammad Yousefnezhad, Daoqiang Zhang.  Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics, 2019, 17(2): 197-210.    [download]

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, 2019, 53: 111-122.    [download]

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, 2019, 13(1): 138-153.    [download]

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, 2019.    [download]

Conference Publications

Muhammad Yousefnezhad, Daoqiang Zhang*.  Deep Hyperalignment.  In: 31st Conference on Neural Information Processing Systems (NIPS'17), Long Beach, CA, 2017. [download]

Muhammad Yousefnezhad, Daoqiang Zhang*.  Local Discriminant Hyperalignment for multi-subject fMRI data alignment.  In: 2017 AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, CA, 2017. [download]

Yi Ding, Shengjun Huang, Daoqiang Zhang*.  Margin Distribution Logistic Machine.  In: 2017 SIAM International Conference on Data Mining (SDM'17), Houston, Texas, 2017. [download]

Muhammad Yousefnezhad, Daoqiang Zhang*.  Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains.  In: 2017 SIAM International Conference on Data Mining (SDM'17), Houston, Texas, 2017. [download]

Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang*.  Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.  In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'17), Quebec City, Canada, 2017. [download]

Liang Sun, Wei Shao, Daoqiang Zhang*.  High-order Boltzmann machine-based unsupervised feature learning for multi-atlas segmentation.  In: IEEE International Symposium on Biomedical Imaging (ISBI'17), Melbourne, Australia, 2017. [download]

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