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Daoqiang Zhang - Publications

Affiliations: 
University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Medical Imaging
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31 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Yousefnezhad M, Sawalha J, Selvitella A, Zhang D. Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics. PMID 33057876 DOI: 10.1007/s12021-020-09494-4  0.84
2019 Shao W, Huang SJ, Liu M, Zhang D. Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 30640624 DOI: 10.1109/TCBB.2019.2892741  0.36
2018 Yousefnezhad M, Zhang D. Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics. PMID 30094688 DOI: 10.1007/s12021-018-9394-9  0.84
2017 Yousefnezhad M, Huang SJ, Zhang D. WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. Ieee Transactions On Cybernetics. PMID 28060718 DOI: 10.1109/TCYB.2016.2642999  0.84
2016 Hao X, Yao X, Yan J, Risacher SL, Saykin AJ, Zhang D, Shen L. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics. PMID 27277494 DOI: 10.1007/s12021-016-9307-8  0.72
2016 Jie B, Wee CY, Shen D, Zhang D. Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Analysis. 32: 84-100. PMID 27060621 DOI: 10.1016/j.media.2016.03.003  0.72
2016 Liu M, Zhang D, Chen S, Xue H. Joint binary classifier learning for ECOC-based multi-class classification Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 2335-2341. DOI: 10.1109/TPAMI.2015.2430325  0.72
2016 Yousefnezhad M, Zhang D. Weighted spectral cluster ensemble Proceedings - Ieee International Conference On Data Mining, Icdm. 2016: 549-558. DOI: 10.1109/ICDM.2015.145  0.72
2016 Shi Y, Gao Y, Liao S, Zhang D, Shen D. A learning-based CT prostate segmentation method via joint transductive feature selection and regression Neurocomputing. 173: 317-331. DOI: 10.1016/j.neucom.2014.11.098  0.72
2016 Zu C, Jie B, Chen S, Zhang D. Label-alignment-based multi-task feature selection for multimodal classification of brain disease Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9444: 51-59. DOI: 10.1007/978-3-319-45174-9_6  0.72
2016 Jie B, Jiang X, Zu C, Zhang D. The new graph kernels on connectivity networks for identification of MCI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9444: 12-20. DOI: 10.1007/978-3-319-45174-9_2  0.72
2015 Zu C, Jie B, Liu M, Chen S, Shen D, Zhang D. Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment. Brain Imaging and Behavior. PMID 26572145 DOI: 10.1007/s11682-015-9480-7  0.72
2015 Shi Y, Gao Y, Liao S, Zhang D, Gao Y, Shen D. Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 2286-2303. PMID 26440268 DOI: 10.1109/TPAMI.2015.2424869  0.72
2015 Shao W, Liu M, Zhang D. Human Cell Structure-driven Model Construction for Predicting Protein Subcellular Location from Biological Images. Bioinformatics (Oxford, England). PMID 26363175 DOI: 10.1093/bioinformatics/btv521  0.72
2015 Ye T, Zu C, Jie B, Shen D, Zhang D. Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease. Brain Imaging and Behavior. PMID 26311394 DOI: 10.1007/s11682-015-9437-x  0.72
2015 Cheng B, Liu M, Suk HI, Shen D, Zhang D. Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging and Behavior. PMID 25702248 DOI: 10.1007/s11682-015-9356-x  0.72
2015 Jie B, Zhang D, Cheng B, Shen D. Manifold regularized multitask feature learning for multimodality disease classification. Human Brain Mapping. 36: 489-507. PMID 25277605 DOI: 10.1002/hbm.22642  0.72
2015 Ye T, Zu C, Jie B, Shen D, Zhang D. Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification Proceedings - 2015 International Workshop On Pattern Recognition in Neuroimaging, Prni 2015. 45-48. DOI: 10.1109/PRNI.2015.15  0.72
2015 Shen D, Zhang D, Young A, Parvin B. Editorial Machine Learning and Data Mining in Medical Imaging Ieee Journal of Biomedical and Health Informatics. 19: 1587-1588. DOI: 10.1109/JBHI.2015.2444011  0.72
2015 Zu C, Zhang D. Canonical sparse cross-view correlation analysis Neurocomputing. DOI: 10.1016/j.neucom.2016.01.053  0.72
2015 Sun L, Zu C, Zhang D. Reliability guided forward and backward patch-based method for multi-atlas segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9467: 128-136. DOI: 10.1007/978-3-319-28194-0_16  0.72
2014 Zu C, Zhang DQ. Sparsity preserving canonical correlation analysis with missing samples Moshi Shibie Yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence. 27: 179-186. DOI: 10.1007/978-3-642-33506-8_8  0.72
2013 Jie B, Zhang D, Cheng B, Shen D. Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer's disease. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 275-83. PMID 24505676 DOI: 10.1007/978-3-642-40811-3_35  0.72
2013 Cheng B, Zhang D, Chen S, Kaufer DI, Shen D. Semi-supervised multimodal relevance vector regression improves cognitive performance estimation from imaging and biological biomarkers. Neuroinformatics. 11: 339-53. PMID 23504659 DOI: 10.1007/s12021-013-9180-7  0.72
2013 Gao S, Zu C, Zhang D. Learning mid-perpendicular hyperplane similarity from cannot-link constraints Neurocomputing. 113: 195-203. DOI: 10.1016/j.neucom.2013.01.002  0.72
2013 Cheng B, Zhang D, Jie B, Shen D. Sparse multimodal manifold-regularized transfer learning for MCI conversion prediction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8184: 251-259. DOI: 10.1007/978-3-319-02267-3_32  0.72
2013 Cheng B, Wee CY, Liu M, Zhang D, Shen D. Brain disease classification and progression using machine learning techniques Computational Intelligence in Biomedical Imaging. 3-32. DOI: 10.1007/978-1-4614-7245-2_1  0.72
2012 Cheng B, Zhang D, Shen D. Domain transfer learning for MCI conversion prediction. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 82-90. PMID 23285538  0.72
2012 Wee CY, Yap PT, Zhang D, Denny K, Browndyke JN, Potter GG, Welsh-Bohmer KA, Wang L, Shen D. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage. 59: 2045-56. PMID 22019883 DOI: 10.1016/j.neuroimage.2011.10.015  0.72
2011 Zhang D, Shen D. Semi-supervised multimodal classification of Alzheimer's disease Proceedings - International Symposium On Biomedical Imaging. 1628-1631. DOI: 10.1109/ISBI.2011.5872715  0.72
2011 Cheng B, Zhang D, Chen S, Shen D. Predicting clinical scores using semi-supervised multimodal relevance vector regression Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7009: 241-248. DOI: 10.1007/978-3-642-24319-6_30  0.72
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