Year |
Citation |
Score |
2024 |
Wen X, Yang M, Qi S, Wu X, Zhang D. Automated individual cortical parcellation via consensus graph representation learning. Neuroimage. 293: 120616. PMID 38697587 DOI: 10.1016/j.neuroimage.2024.120616 |
0.313 |
|
2023 |
Wang P, Cao X, Zhou Y, Gong P, Yousefnezhad M, Shao W, Zhang D. A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface. Frontiers in Neuroscience. 17: 1086472. PMID 37332859 DOI: 10.3389/fnins.2023.1086472 |
0.726 |
|
2023 |
Huang S, Sun L, Yousefnezhad M, Wang M, Zhang D. Functional Alignment-Auxiliary Generative Adversarial Network-based Visual Stimuli Reconstruction via Multi-subject fMRI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 37279132 DOI: 10.1109/TNSRE.2023.3283405 |
0.749 |
|
2022 |
Zhu Q, Xu B, Huang J, Wang H, Xu R, Shao W, Zhang D. Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. Ieee Transactions On Medical Imaging. PMID 37015464 DOI: 10.1109/TMI.2022.3230750 |
0.333 |
|
2022 |
Yousefnezhad M, Zhang D, Greenshaw AJ, Greiner R. Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. Frontiers in Neuroinformatics. 16: 994463. PMID 36120084 DOI: 10.3389/fninf.2022.994463 |
0.716 |
|
2022 |
Hao X, Tan Q, Guo Y, Xiao Y, Yu M, Wang M, Qin J, Zhang D. Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. Ieee Transactions On Bio-Medical Engineering. PMID 36044490 DOI: 10.1109/TBME.2022.3203152 |
0.302 |
|
2022 |
Zhu Q, Wang H, Xu B, Zhang Z, Shao W, Zhang D. Multi-Modal Triplet Attention Network for Brain Disease Diagnosis. Ieee Transactions On Medical Imaging. PMID 35969575 DOI: 10.1109/TMI.2022.3199032 |
0.331 |
|
2021 |
Qi S, Silva RF, Zhang D, Plis SM, Miller R, Vergara VM, Jiang R, Zhi D, Sui J, Calhoun VD. Three-way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data. Human Brain Mapping. PMID 34811846 DOI: 10.1002/hbm.25720 |
0.302 |
|
2021 |
Zhu W, Sun L, Huang J, Han L, Zhang D. Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis with Structural MRI. Ieee Transactions On Medical Imaging. PMID 33939609 DOI: 10.1109/TMI.2021.3077079 |
0.306 |
|
2021 |
Zhang X, Han L, Zhu W, Sun L, Zhang D. An Explainable 3D Residual Self-Attention Deep Neural Network For Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. Ieee Journal of Biomedical and Health Informatics. PMID 33735087 DOI: 10.1109/JBHI.2021.3066832 |
0.303 |
|
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 |
0.758 |
|
2020 |
Chen F, Cui X, Zhao Z, Zhang D, Ma C, Zhang X, Liao H. Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 85: 101782. PMID 32919311 DOI: 10.1016/J.Compmedimag.2020.101782 |
0.345 |
|
2020 |
Sun L, Mo Z, Yan F, Xia L, Shan F, Ding Z, Song B, Gao W, Shao W, Shi F, Yuan H, Jiang H, Wu D, Wei Y, Gao Y, ... ... Zhang D, et al. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. Ieee Journal of Biomedical and Health Informatics. PMID 32845849 DOI: 10.1109/Jbhi.2020.3019505 |
0.38 |
|
2020 |
Shao W, Wang T, Sun L, Dong T, Han Z, Huang Z, Zhang J, Zhang D, Huang K. Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Analysis. 65: 101795. PMID 32745975 DOI: 10.1016/J.Media.2020.101795 |
0.354 |
|
2020 |
Huang J, Wang M, Xu X, Jie B, Zhang D. A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Analysis. 65: 101755. PMID 32592983 DOI: 10.1016/J.Media.2020.101755 |
0.371 |
|
2020 |
Huang J, Zhou L, Wang L, Zhang D. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. Ieee Transactions On Medical Imaging. PMID 32070948 DOI: 10.1109/Tmi.2020.2973650 |
0.349 |
|
2020 |
Yousefnezhad M, Selvitella A, Han L, Zhang D. Supervised Hyperalignment for multi-subject fMRI data alignment Ieee Transactions On Cognitive and Developmental Systems. 1-1. DOI: 10.1109/Tcds.2020.2965981 |
0.774 |
|
2020 |
Zhu Q, Xu X, Yuan N, Zhang Z, Guan D, Huang S, Zhang D. Latent correlation embedded discriminative multi-modal data fusion Signal Processing. 171: 107466. DOI: 10.1016/J.Sigpro.2020.107466 |
0.418 |
|
2020 |
Zhu Q, Zhang R, Huang S, Zhang Z, Zhang D. LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition Information Sciences. 539: 522-535. DOI: 10.1016/J.Ins.2020.05.117 |
0.37 |
|
2020 |
Xu N, Zhu Q, Xu X, Zhang D. An effective recognition approach for contactless palmprint The Visual Computer. 1-11. DOI: 10.1007/S00371-020-01962-X |
0.398 |
|
2019 |
Shao W, Peng Y, Zu C, Wang M, Zhang D. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 80: 101663. PMID 31923610 DOI: 10.1016/J.Compmedimag.2019.101663 |
0.434 |
|
2019 |
Huang J, Zhu Q, Wang M, Zhou L, Zhang Z, Zhang D. Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification. Ieee Journal of Biomedical and Health Informatics. PMID 31899443 DOI: 10.1109/Jbhi.2019.2962519 |
0.397 |
|
2019 |
Sun L, Shao W, Zhang D, Liu M. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. Ieee Transactions On Medical Imaging. PMID 31899417 DOI: 10.1109/Tmi.2019.2962792 |
0.387 |
|
2019 |
Hao X, Bao Y, Guo Y, Yu M, Zhang D, Risacher SL, Saykin AJ, Yao X, Shen L. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis. 60: 101625. PMID 31841947 DOI: 10.1016/J.Media.2019.101625 |
0.412 |
|
2019 |
Wang M, Lian C, Yao D, Zhang D, Liu M, Shen D. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. Ieee Transactions On Bio-Medical Engineering. PMID 31825859 DOI: 10.1109/Tbme.2019.2957921 |
0.363 |
|
2019 |
Sun L, Shao W, Wang M, Zhang D, Liu M. High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31725379 DOI: 10.1109/Tip.2019.2952079 |
0.422 |
|
2019 |
Wang M, Shao W, Hao X, Shen L, Zhang D. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 31581090 DOI: 10.1109/Tcbb.2019.2944825 |
0.409 |
|
2019 |
Wang M, Zhang D, Huang J, Yap PT, Shen D, Liu M. Identifying Autism Spectrum Disorder with Multi-Site fMRI via Low-Rank Domain Adaptation. Ieee Transactions On Medical Imaging. PMID 31395542 DOI: 10.1109/Tmi.2019.2933160 |
0.333 |
|
2019 |
Zhu Q, Li H, Huang J, Xu X, Guan D, Zhang D. Hybrid Functional Brain Network With First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. Frontiers in Neuroscience. 13: 603. PMID 31316330 DOI: 10.3389/Fnins.2019.00603 |
0.339 |
|
2019 |
Sun L, Zu C, Shao W, Guang J, Zhang D, Liu M. Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artificial Intelligence in Medicine. 96: 12-24. PMID 31164205 DOI: 10.1016/J.Artmed.2019.03.004 |
0.357 |
|
2019 |
Sun L, Zhang D, Lian C, Wang L, Wu Z, Shao W, Lin W, Shen D, Li G. Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. Neuroimage. PMID 31112785 DOI: 10.1016/J.Neuroimage.2019.05.037 |
0.325 |
|
2019 |
Wang M, Hao X, Huang J, Wang K, Shen L, Xu X, Zhang D, Liu M. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics. PMID 31016571 DOI: 10.1007/S12021-019-09423-0 |
0.397 |
|
2019 |
Wang M, Zhang D, Shen D, Liu M. Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Analysis. 53: 111-122. PMID 30763830 DOI: 10.1016/J.Media.2019.01.007 |
0.414 |
|
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 |
0.423 |
|
2019 |
Zhu Q, Yuan N, Huang J, Hao X, Zhang D. Multi-modal AD classification via self-paced latent correlation analysis Neurocomputing. 355: 143-154. DOI: 10.1016/J.Neucom.2019.04.066 |
0.406 |
|
2019 |
Zhu Q, Xu N, Huang S, Qian J, 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: 463-474. DOI: 10.1007/S13042-019-00986-7 |
0.391 |
|
2019 |
Zhu Q, Xu N, Zhang Z, Guan D, Wang R, Zhang D. Cross-spectral palmprint recognition with low-rank canonical correlation analysis Multimedia Tools and Applications. 1-22. DOI: 10.1007/S11042-019-08362-X |
0.419 |
|
2018 |
Wang M, Hao X, Huang J, Shao W, Zhang D. Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's Disease. Bioinformatics (Oxford, England). PMID 30395195 DOI: 10.1093/Bioinformatics/Bty911 |
0.32 |
|
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 |
0.763 |
|
2018 |
Huang J, Zhu Q, Hao X, Shi X, Gao S, Xu X, Zhang D. Identifying Resting-state Multi-Frequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. Ieee Journal of Biomedical and Health Informatics. PMID 29994431 DOI: 10.1109/Jbhi.2018.2796588 |
0.33 |
|
2018 |
Hao X, Yao X, Risacher S, Saykin A, Yu J, Wang H, Tan L, Shen L, Zhang D. Identifying Candidate Genetic Associations with MRI-derived AD-related ROI via Tree-guided Sparse Learning. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 29993890 DOI: 10.1109/Tcbb.2018.2833487 |
0.368 |
|
2018 |
Zhang D, Huang J, Jie B, Du J, Tu L, Liu M. Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. Ieee Transactions On Medical Imaging. 37: 1711-1722. PMID 29969421 DOI: 10.1109/Tmi.2018.2798500 |
0.383 |
|
2018 |
Zu C, Gao Y, Munsell B, Kim M, Peng Z, Cohen JR, Zhang D, Wu G. Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning. Brain Imaging and Behavior. PMID 29948906 DOI: 10.1007/S11682-018-9899-8 |
0.394 |
|
2018 |
Cheng B, Liu M, Zhang D, Shen D. Robust multi-label transfer feature learning for early diagnosis of Alzheimer's disease. Brain Imaging and Behavior. PMID 29589326 DOI: 10.1007/S11682-018-9846-8 |
0.393 |
|
2018 |
Jie B, Liu M, Zhang D, Shen D. Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 27: 2340-2353. PMID 29470170 DOI: 10.1109/Tip.2018.2799706 |
0.351 |
|
2018 |
Zhu Q, Zhu J, Liu M, Xu X, Zhang D. Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection Ieee Access. 6: 78065-78076. DOI: 10.1109/Access.2018.2884739 |
0.372 |
|
2017 |
Hao X, Li C, Yan J, Yao X, Risacher SL, Saykin AJ, Shen L, Zhang D. Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinformatics (Oxford, England). 33: i341-i349. PMID 28881979 DOI: 10.1093/Bioinformatics/Btx245 |
0.322 |
|
2017 |
Zhang D, Tu L, Zhang LJ, Jie B, Lu GM. Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy. Brain Imaging and Behavior. PMID 28717971 DOI: 10.1007/S11682-017-9753-4 |
0.374 |
|
2017 |
Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D. Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease. Scientific Reports. 7: 44272. PMID 28291242 DOI: 10.1038/Srep44272 |
0.356 |
|
2017 |
Shao W, Liu M, Xu YY, Shen HB, Zhang D. An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-images. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 28278481 DOI: 10.1109/Tcbb.2017.2677907 |
0.411 |
|
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 |
0.746 |
|
2017 |
Zu C, Wang Z, Zhang D, Liang P, Shi Y, Shen D, Wu G. Robust multi-atlas label propagation by deep sparse representation. Pattern Recognition. 63: 511-517. PMID 27942077 DOI: 10.1016/J.Patcog.2016.09.028 |
0.328 |
|
2017 |
Zu C, Zhu L, Zhang D. Iterative sparsity score for feature selection and its extension for multimodal data Neurocomputing. 259: 146-153. DOI: 10.1016/J.Neucom.2016.08.124 |
0.437 |
|
2017 |
Zhang D, Zhu Q, Zhang D. Multi-modal dimensionality reduction using effective distance Neurocomputing. 259: 130-139. DOI: 10.1016/J.Neucom.2016.07.075 |
0.415 |
|
2017 |
Yousefnezhad M, Zhang D. Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains Cognitive Computation. 10: 284-295. DOI: 10.1007/S12559-017-9518-9 |
0.762 |
|
2017 |
Shao W, Ding Y, Shen H, Zhang D. Deep model-based feature extraction for predicting protein subcellular localizations from bio-images Frontiers of Computer Science. 11: 243-252. DOI: 10.1007/S11704-017-6538-2 |
0.361 |
|
2016 |
Liu M, Zhang D, Shen D. Relationship Induced Multi-template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. Ieee Transactions On Medical Imaging. PMID 28113799 DOI: 10.1109/TMI.2016.2515021 |
0.362 |
|
2016 |
Cheng B, Liu M, Shen D, Li Z, Zhang D. Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics. PMID 27928657 DOI: 10.1007/S12021-016-9318-5 |
0.38 |
|
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 |
0.349 |
|
2016 |
Jie B, Liu M, Liu J, Zhang D, Shen D. Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. Ieee Transactions On Bio-Medical Engineering. PMID 27093313 DOI: 10.1109/Tbme.2016.2553663 |
0.42 |
|
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 |
0.384 |
|
2016 |
Shi Y, Gao Y, Liao S, Zhang D, Gao Y, Shen D. A Learning-Based CT Prostate Segmentation Method via Joint Transductive Feature Selection and Regression. Neurocomputing. 173: 317-331. PMID 26752809 DOI: 10.1016/J.Neucom.2014.11.098 |
0.32 |
|
2016 |
Liu M, Zhang D, Shen D. Relationship Induced Multi-template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. Ieee Transactions On Medical Imaging. PMID 26742127 DOI: 10.1109/Tmi.2016.2515021 |
0.465 |
|
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 |
0.421 |
|
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 |
0.733 |
|
2016 |
Liu M, Zhang D. Feature selection with effective distance Neurocomputing. 215: 100-109. DOI: 10.1016/J.Neucom.2015.07.155 |
0.436 |
|
2016 |
Yousefnezhad M, Reihanian A, Zhang D, Minaei-Bidgoli B. A new selection strategy for selective cluster ensemble based on Diversity and Independency Engineering Applications of Artificial Intelligence. 56: 260-272. DOI: 10.1016/J.Engappai.2016.10.005 |
0.746 |
|
2016 |
Zhang Y, Zhang J, Pan Z, Zhang D. Multi-view dimensionality reduction via canonical random correlation analysis Frontiers of Computer Science. 10: 856-869. DOI: 10.1007/S11704-015-4538-7 |
0.388 |
|
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 |
0.339 |
|
2015 |
Liu M, Zhang D, Shen D. Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. Machine Learning in Medical Imaging. Mlmi (Workshop), Author. 9352: 296-303. PMID 27088137 DOI: 10.1007/978-3-319-24888-2_36 |
0.363 |
|
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 |
0.463 |
|
2015 |
Liu M, Zhang D, Adeli-Mosabbeb E, Shen D. Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer's Disease Diagnosis. Ieee Transactions On Bio-Medical Engineering. PMID 26540666 DOI: 10.1109/Tbme.2015.2496233 |
0.489 |
|
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 |
0.332 |
|
2015 |
Zhan Y, Chen K, Wu X, Zhang D, Zhang J, Yao L, Guo X. Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine. Journal of Alzheimer's Disease : Jad. 47: 1057-67. PMID 26401783 DOI: 10.3233/Jad-142820 |
0.331 |
|
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 |
0.389 |
|
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 |
0.437 |
|
2015 |
Liu M, Zhang D. Pairwise Constraint-Guided Sparse Learning for Feature Selection. Ieee Transactions On Cybernetics. PMID 26151948 DOI: 10.1109/Tcyb.2015.2401733 |
0.419 |
|
2015 |
Cheng B, Liu M, Zhang D, Munsell BC, Shen D. Domain Transfer Learning for MCI Conversion Prediction. Ieee Transactions On Bio-Medical Engineering. 62: 1805-17. PMID 25751861 DOI: 10.1109/Tbme.2015.2404809 |
0.37 |
|
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 |
0.374 |
|
2015 |
Liu M, Zhang D, Shen D. View-centralized multi-atlas classification for Alzheimer's disease diagnosis. Human Brain Mapping. 36: 1847-65. PMID 25624081 DOI: 10.1002/Hbm.22741 |
0.451 |
|
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 |
0.453 |
|
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 |
0.332 |
|
2015 |
Zu C, Zhang D. Canonical sparse cross-view correlation analysis Neurocomputing. DOI: 10.1016/J.Neucom.2016.01.053 |
0.395 |
|
2015 |
Zhu Q, Zhang D, Sun H, Li Z. Combining L1-norm and L2-norm based sparse representations for face recognition Optik. 126: 719-724. DOI: 10.1016/J.Ijleo.2015.02.020 |
0.342 |
|
2014 |
Fei F, Jie B, Zhang D. Frequent and discriminative subnetwork mining for mild cognitive impairment classification. Brain Connectivity. 4: 347-60. PMID 24766561 DOI: 10.1089/Brain.2013.0214 |
0.39 |
|
2014 |
Liu M, Zhang D, Shen D. Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis. Neuroinformatics. 12: 381-94. PMID 24338729 DOI: 10.1007/S12021-013-9218-X |
0.455 |
|
2014 |
Wu G, Wang Q, Zhang D, Nie F, Huang H, Shen D. A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Analysis. 18: 881-90. PMID 24315359 DOI: 10.1016/J.Media.2013.10.013 |
0.325 |
|
2014 |
Jie B, Zhang D, Gao W, Wang Q, Wee CY, Shen D. Integration of network topological and connectivity properties for neuroimaging classification. Ieee Transactions On Bio-Medical Engineering. 61: 576-89. PMID 24108708 DOI: 10.1109/Tbme.2013.2284195 |
0.398 |
|
2014 |
Jie B, Zhang D, Wee CY, Shen D. Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification. Human Brain Mapping. 35: 2876-97. PMID 24038749 DOI: 10.1002/Hbm.22353 |
0.381 |
|
2014 |
Wee CY, Yap PT, Zhang D, Wang L, Shen D. Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification. Brain Structure & Function. 219: 641-56. PMID 23468090 DOI: 10.1007/S00429-013-0524-8 |
0.409 |
|
2014 |
Liu M, Zhang D, Shen D. Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis. Human Brain Mapping. 35: 1305-19. PMID 23417832 DOI: 10.1002/Hbm.22254 |
0.441 |
|
2014 |
LIU M, ZHANG D. SPARSITY SCORE: A NOVEL GRAPH-PRESERVING FEATURE SELECTION METHOD International Journal of Pattern Recognition and Artificial Intelligence. 28: 1450009. DOI: 10.1142/S0218001414500098 |
0.409 |
|
2014 |
Liu M, Miao L, Zhang D. Two-Stage Cost-Sensitive Learning for Software Defect Prediction Ieee Transactions On Reliability. 63: 676-686. DOI: 10.1109/Tr.2014.2316951 |
0.308 |
|
2014 |
Liu M, Zhang D, Chen S. Attribute relation learning for zero-shot classification Neurocomputing. 139: 34-46. DOI: 10.1016/J.Neucom.2013.09.056 |
0.379 |
|
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 |
0.335 |
|
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 |
0.344 |
|
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 |
0.418 |
|
2012 |
Liu M, Zhang D, Yap PT, Shen D. Tree-guided sparse coding for brain disease classification. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 239-47. PMID 23286136 |
0.304 |
|
2012 |
Zhang D, Shen D. Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers. Plos One. 7: e33182. PMID 22457741 DOI: 10.1371/Journal.Pone.0033182 |
0.373 |
|
2012 |
Liu M, Zhang D, Shen D. Ensemble sparse classification of Alzheimer's disease. Neuroimage. 60: 1106-16. PMID 22270352 DOI: 10.1016/J.Neuroimage.2012.01.055 |
0.463 |
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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 |
0.444 |
|
2012 |
Zhang D, Shen D. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. Neuroimage. 59: 895-907. PMID 21992749 DOI: 10.1016/J.Neuroimage.2011.09.069 |
0.401 |
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2012 |
Zhang D, Shen D. Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895–907] Neuroimage. 62: 2179. DOI: 10.1016/J.Neuroimage.2012.03.006 |
0.323 |
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2012 |
Wang F, Zhang D. A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction Neural Processing Letters. 37: 135-146. DOI: 10.1007/S11063-012-9238-9 |
0.388 |
|
2011 |
Wee CY, Yap PT, Zhang D, Denny K, Wang L, Shen D. Identification of individuals with MCI via multimodality connectivity networks. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 277-84. PMID 21995039 DOI: 10.1007/978-3-642-23629-7_34 |
0.304 |
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2011 |
Zhang D, Wang Y, Zhou L, Yuan H, Shen D. Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage. 55: 856-67. PMID 21236349 DOI: 10.1016/J.Neuroimage.2011.01.008 |
0.375 |
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2011 |
Chen S, Zhang D. Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification Ieee Geoscience and Remote Sensing Letters. 8: 369-373. DOI: 10.1109/Lgrs.2010.2076407 |
0.405 |
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2011 |
Zhang J, Zhang D. A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples Pattern Recognition. 44: 1162-1171. DOI: 10.1016/J.Patcog.2010.12.011 |
0.404 |
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2010 |
Hu E, Chen S, Zhang D, Yin X. Semisupervised kernel matrix learning by kernel propagation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1831-41. PMID 20923733 DOI: 10.1109/Tnn.2010.2076301 |
0.324 |
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2010 |
Cai W, Chen S, Zhang D. A multiobjective simultaneous learning framework for clustering and classification. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 185-200. PMID 20028622 DOI: 10.1109/Tnn.2009.2034741 |
0.395 |
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2010 |
Sun D, Zhang D. Bagging Constraint Score for feature selection with pairwise constraints Pattern Recognition. 43: 2106-2118. DOI: 10.1016/J.Patcog.2009.12.011 |
0.375 |
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2010 |
Yin X, Chen S, Hu E, Zhang D. Semi-supervised clustering with metric learning: An adaptive kernel method Pattern Recognition. 43: 1320-1333. DOI: 10.1016/J.Patcog.2009.11.005 |
0.402 |
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2010 |
Huang P, Zhang D. Locality sensitive C-means clustering algorithms Neurocomputing. 73: 2935-2943. DOI: 10.1016/J.Neucom.2010.07.015 |
0.327 |
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2009 |
Wang F, Wang X, Zhang D, Zhang C, Li T. marginFace: A novel face recognition method by average neighborhood margin maximization Pattern Recognition. 42: 2863-2875. DOI: 10.1016/J.Patcog.2009.04.015 |
0.367 |
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2009 |
Cai W, Chen S, Zhang D. A simultaneous learning framework for clustering and classification Pattern Recognition. 42: 1248-1259. DOI: 10.1016/J.Patcog.2008.11.029 |
0.393 |
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2009 |
Peng Y, Zhang D, Zhang J. A New Canonical Correlation Analysis Algorithm with Local Discrimination Neural Processing Letters. 31: 1-15. DOI: 10.1007/S11063-009-9123-3 |
0.373 |
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2009 |
Sun D, Zhang D. A New Discriminant Principal Component Analysis Method with Partial Supervision Neural Processing Letters. 30: 103-112. DOI: 10.1007/S11063-009-9112-6 |
0.377 |
|
2008 |
Wang Z, Chen S, Liu J, Zhang D. Pattern representation in feature extraction and classifier design: matrix versus vector. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 758-69. PMID 18467206 DOI: 10.1109/Tnn.2007.911744 |
0.318 |
|
2008 |
Zhang D, Chen S, Zhou Z. Constraint Score: A new filter method for feature selection with pairwise constraints Pattern Recognition. 41: 1440-1451. DOI: 10.1016/J.Patcog.2007.10.009 |
0.391 |
|
2007 |
LIU J, CHEN S, TAN X, ZHANG D. EFFICIENT PSEUDOINVERSE LINEAR DISCRIMINANT ANALYSIS AND ITS NONLINEAR FORM FOR FACE RECOGNITION International Journal of Pattern Recognition and Artificial Intelligence. 21: 1265-1278. DOI: 10.1142/S0218001407005946 |
0.404 |
|
2007 |
Liu J, Chen S, Tan X, Zhang D. Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion Ieee Transactions On Neural Networks. 18: 1862-1864. DOI: 10.1109/Tnn.2007.900813 |
0.318 |
|
2007 |
Cai W, Chen S, Zhang D. Robust fuzzy relational classifier incorporating the soft class labels Pattern Recognition Letters. 28: 2250-2263. DOI: 10.1016/J.Patrec.2007.07.013 |
0.389 |
|
2007 |
Cai W, Chen S, Zhang D. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation Pattern Recognition. 40: 825-838. DOI: 10.1016/J.Patcog.2006.07.011 |
0.361 |
|
2006 |
Zhang D, Zhou Z, Chen S. Rapid and brief communication: Diagonal principal component analysis for face recognition Pattern Recognition. 39: 140-142. DOI: 10.1016/J.Patcog.2005.08.002 |
0.362 |
|
2006 |
Zhang D, Chen S, Zhou Z. Learning the kernel parameters in kernel minimum distance classifier Pattern Recognition. 39: 133-135. DOI: 10.1016/J.Patcog.2005.08.001 |
0.346 |
|
2006 |
Zhang D, Chen S, Zhou Z. Recognizing face or object from a single image: linear vs. kernel methods on 2d patterns Lecture Notes in Computer Science. 889-897. DOI: 10.1007/11815921_98 |
0.345 |
|
2005 |
Chen S, Zhu Y, Zhang D, Yang J. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA Pattern Recognition Letters. 26: 1157-1167. DOI: 10.1016/J.Patrec.2004.10.009 |
0.377 |
|
2005 |
Zhang D, Zhou Z. : Two-directional two-dimensional PCA for efficient face representation and recognition Neurocomputing. 69: 224-231. DOI: 10.1016/J.Neucom.2005.06.004 |
0.356 |
|
2005 |
Zhang D, Chen S, Zhou Z. A new face recognition method based on SVD perturbation for single example image per person Applied Mathematics and Computation. 163: 895-907. DOI: 10.1016/J.Amc.2004.04.016 |
0.348 |
|
2005 |
Zhang D, Zhang D, Chen S, Tan K, Tan K. Improving the Robustness of ?Online Agglomerative Clustering Method? Based on Kernel-Induce Distance Measures Neural Processing Letters. 21: 45-51. DOI: 10.1007/S11063-004-2793-Y |
0.377 |
|
2004 |
Zhang D, Chen S. A novel kernelized fuzzy C-means algorithm with application in medical image segmentation Artificial Intelligence in Medicine. 32: 37-50. PMID 15350623 DOI: 10.1016/J.Artmed.2004.01.012 |
0.329 |
|
2004 |
Chen S, Zhang D, Zhou Z. Enhanced (PC)2A for face recognition with one training image per person Pattern Recognition Letters. 25: 1173-1181. DOI: 10.1016/J.Patrec.2004.03.012 |
0.323 |
|
2003 |
Zhang D, Chen S. Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm Neural Processing Letters. 18: 155-162. DOI: 10.1023/B:Nepl.0000011135.19145.1B |
0.384 |
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