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2020 – today
- 2021
[j117]Jing Li, Xuejun Liu, Daoqiang Zhang:
Detecting differential transcript usage across multiple conditions for RNA-seq data based on the smoothed LDA model. Frontiers Comput. Sci. 15(3): 153319 (2021)- [j116]Shuo Huang
, Wei Shao, Mei-Ling Wang, Daoqiang Zhang:
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. Int. J. Autom. Comput. 18(2): 170-184 (2021) - [j115]Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang:
Towards evaluating the robustness of deep diagnostic models by adversarial attack. Medical Image Anal. 69: 101977 (2021) - [j114]Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. 71: 102063 (2021) - [j113]Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang:
Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics 19(3): 417-431 (2021) - [j112]Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo:
Deep Rényi entropy graph kernel. Pattern Recognit. 111: 107668 (2021) - [j111]Peng Wan, Fang Chen, Chunrui Liu, Wentao Kong, Daoqiang Zhang:
Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. IEEE Trans. Medical Imaging 40(6): 1646-1660 (2021) - [j110]Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang:
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE Trans. Medical Imaging 40(6): 1673-1686 (2021) - [j109]Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang:
An effective recognition approach for contactless palmprint. Vis. Comput. 37(4): 695-705 (2021) - [c97]Xiaoxin Wang, Xuyun Wen, Kai Ma, Daoqiang Zhang:
A Multilayer Maximum Spanning Tree Kernel For Brain Networks. ISBI 2021: 1582-1585 - [c96]Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. ISBI 2021: 1790-1793 - [i26]Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang:
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. CoRR abs/2103.03438 (2021) - [i25]Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang:
A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR abs/2104.05035 (2021) - 2020
- [j108]Liangxiu Han, Daoqiang Zhang, Omer Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily:
IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access 8: 216617-216622 (2020) - [j107]Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang:
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Comput. Medical Imaging Graph. 80: 101663 (2020) - [j106]Fang Chen, Zhe Zhao, Jia Liu, Xiwen Cui, Daoqiang Zhang, Xiu-yun Su, Jing-xin Zhao, Peifu Tang, Hongen Liao:
Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching. Comput. Medical Imaging Graph. 81: 101714 (2020) - [j105]Fang Chen, Xiwen Cui, Zhe Zhao, Daoqiang Zhang, Cong Ma, Xinran Zhang, Hongen Liao:
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Comput. Medical Imaging Graph. 85: 101782 (2020) - [j104]Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang:
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Inf. Sci. 539: 522-535 (2020) - [j103]Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. 60 (2020) - [j102]Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang:
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. 65: 101755 (2020) - [j101]Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang:
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65: 101795 (2020) - [j100]Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang:
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. Int. J. Mach. Learn. Cybern. 11(2): 463-474 (2020) - [j99]Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang, Daoqiang Zhang:
Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multim. Tools Appl. 79(45-46): 33771-33792 (2020) - [j98]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu:
Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics 18(1): 43-57 (2020) - [j97]Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang:
Latent correlation embedded discriminative multi-modal data fusion. Signal Process. 171: 107466 (2020) - [j96]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 Trans. Biomed. Eng. 67(8): 2241-2252 (2020) - [j95]Fang Chen, Xiwen Cui, Jia Liu, Boxuan Han, Xinran Zhang, Daoqiang Zhang, Hongen Liao:
Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping. IEEE Trans. Biomed. Eng. 67(11): 3211-3222 (2020) - [j94]Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang:
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1394-1405 (2020) - [j93]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 Trans. Image Process. 29: 2702-2713 (2020) - [j92]Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang:
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics 24(9): 2609-2620 (2020) - [j91]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j90]Fang Chen, Jia Liu, Xinran Zhang, Daoqiang Zhang, Hongen Liao:
Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study. IEEE J. Biomed. Health Informatics 24(12): 3616-3629 (2020) - [j89]Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang:
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39(1): 99-110 (2020) - [j88]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 Trans. Medical Imaging 39(3): 644-655 (2020) - [j87]Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu:
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39(6): 2000-2012 (2020) - [j86]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging 39(7): 2541-2552 (2020) - [c95]Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang:
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. AAAI 2020: 2653-2660 - [c94]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. ICONIP (5) 2020: 156-163 - [c93]Zhenxing Xu, Peng Wan, Gulibire Aihemaiti, Daoqiang Zhang:
Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures. ICPR Workshops (1) 2020: 376-388 - [c92]Peng Wan, Fang Chen, Xiaowei Zhu, Chunrui Liu, Yidan Zhang, Wentao Kong, Daoqiang Zhang:
CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. ISBI 2020: 1816-1819 - [c91]Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang:
Unified Brain Network with Functional and Structural Data. MICCAI (7) 2020: 114-123 - [c90]Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu:
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI 2020: 303-311 - [c89]Junyi Zhang, Peng Wan, Daoqiang Zhang:
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI. MICCAI (2) 2020: 444-453 - [c88]Zhongnian Li, Tao Zhang, Ruoyu Chen, Daoqiang Zhang:
MRI Measurement Matrix Learning via Correlation Reweighting. ACM Multimedia 2020: 2737-2745 - [c87]Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Shared Space Transfer Learning for analyzing multi-site fMRI data. NeurIPS 2020 - [c86]Peng Wan, Daoqiang Zhang:
Depth-Adaptive Discriminant Projection with Optimal Transport. PRCV (2) 2020: 164-174 - [c85]Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang:
Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. PRCV (2) 2020: 470-479 - [i24]Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for multi-subject fMRI data alignment. CoRR abs/2001.02894 (2020) - [i23]Weida Li, Mingxia Liu, Daoqiang Zhang:
Nyström Subspace Learning for Large-scale SVMs. CoRR abs/2002.08937 (2020) - [i22]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i21]Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang:
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. CoRR abs/2005.04573 (2020) - [i20]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR abs/2008.04024 (2020) - [i19]Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang:
Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR abs/2008.07719 (2020) - [i18]Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang:
Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset. CoRR abs/2010.02012 (2020) - [i17]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease. CoRR abs/2010.08190 (2020) - [i16]Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Shared Space Transfer Learning for analyzing multi-site fMRI data. CoRR abs/2010.15594 (2020) - [i15]Kai Ma, Peng Wan, Daoqiang Zhang:
Transport based Graph Kernels. CoRR abs/2011.00745 (2020) - [i14]Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang:
Improving the Certified Robustness of Neural Networks via Consistency Regularization. CoRR abs/2012.13103 (2020)
2010 – 2019
- 2019
- [j85]Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu:
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96: 12-24 (2019) - [j84]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. Bioinform. 35(11): 1948-1957 (2019) - [j83]Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng:
Tongue image segmentation via color decomposition and thresholding. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j82]Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang:
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355: 143-154 (2019) - [j81]Weixia Liu, Jinmei Hu, Zuoyong Li, Zuchang Zhang, Zhongli Ma, Daoqiang Zhang:
Tongue Image Segmentation via Thresholding and Gray Projection. KSII Trans. Internet Inf. Syst. 13(2): 945-961 (2019) - [j80]Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Anal. 53: 111-122 (2019) - [j79]Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li:
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019) - [j78]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics 17(2): 197-210 (2019) - [j77]Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang:
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics 23(1): 342-350 (2019) - [c84]Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. AAAI 2019: 1012-1019 - [c83]Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI 2019: 1198-1205 - [c82]Ruoyu Chen, Zhongnian Li, Daoqiang Zhang:
Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. HBAI@IJCAI 2019: 235-247 - [c81]Zhenxing Xu, Junyi Zhang, Daoqiang Zhang, Hanyu Wei:
A New Network Traffic Identification Base on Deep Factorization Machine. IScIDE (2) 2019: 209-218 - [c80]Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang:
Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. IScIDE (2) 2019: 356-368 - [c79]Weida Li, Fang Chen, Daoqiang Zhang:
Graph Hyperalignment for Multi-subject fMRI Functional Alignment. GLMI@MICCAI 2019: 1-8 - [c78]Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. GLMI@MICCAI 2019: 18-26 - [c77]Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang:
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. MICCAI (4) 2019: 113-121 - [c76]Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang:
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. MLMI@MICCAI 2019: 142-150 - [c75]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) 2019: 691-699 - [c74]Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang:
Improved Procedures for Training Primal Wasserstein GANs. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1601-1607 - [c73]You Jiang, Zhongnian Li, Daoqiang Zhang:
Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1608-1613 - [e5]An Zeng, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, Xiaowei Song:
Human Brain and Artificial Intelligence - First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers. Communications in Computer and Information Science 1072, Springer 2019, ISBN 978-981-15-1397-8 [contents] - [e4]Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu:
Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11849, Springer 2019, ISBN 978-3-030-35816-7 [contents] - [i13]Zhongnian Li, Tao Zhang, Daoqiang Zhang:
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. CoRR abs/1902.06455 (2019) - [i12]Weida Li, Fang Chen, Daoqiang Zhang:
A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment. CoRR abs/1905.05468 (2019) - 2018
- [j76]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 6: 78065-78076 (2018) - [j75]Muhammad Yousefnezhad, Daoqiang Zhang:
Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains. Cogn. Comput. 10(2): 284-295 (2018) - [j74]Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang:
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 828-838 (2018) - [j73]Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang:
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. IEEE Trans. Cybern. 48(2): 486-499 (2018) - [j72]Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen:
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Trans. Image Process. 27(5): 2340-2353 (2018) - [j71]Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu:
Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging 37(7): 1711-1722 (2018) - [j70]Yuli Zhang, Yuhua Xu, Qihui Wu, Yunpeng Luo, Yitao Xu, Xueqiang Chen, Alagan Anpalagan, Daoqiang Zhang:
Context Awareness Group Buying in D2D Networks: A Coalition Formation Game-Theoretic Approach. IEEE Trans. Veh. Technol. 67(12): 12259-12272 (2018) - [c72]Wei Shao, Liang Sun, Daoqiang Zhang:
Deep active learning for nucleus classification in pathology images. ISBI 2018: 199-202 - [c71]Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. ISBI 2018: 1542-1545 - [c70]Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu:
Investor-Imitator: A Framework for Trading Knowledge Extraction. KDD 2018: 1310-1319 - [c69]Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li:
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133 - [c68]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu:
Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) 2018: 647-654 - [c67]Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang:
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) 2018: 648-656 - [c66]Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang:
Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. PRCV (3) 2018: 304-315 - [c65]Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang:
Gradient Hyperalignment for Multi-subject fMRI Data Alignment. PRICAI (1) 2018: 1058-1068 - [c64]Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang:
Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. PRICAI (1) 2018: 1069-1080 - [i11]Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang:
Gradient Hyperalignment for multi-subject fMRI data alignment. CoRR abs/1807.02612 (2018) - [i10]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis. CoRR abs/1808.01642 (2018) - [i9]Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang:
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. CoRR abs/1809.04429 (2018) - 2017
- [j69]Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang:
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33(14): i341-i349 (2017) - [j68]Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang:
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. Frontiers Comput. Sci. 11(2): 243-252 (2017) - [j67]Dan Zhang, Qi Zhu, Daoqiang Zhang:
Multi-modal dimensionality reduction using effective distance. Neurocomputing 259: 130-139 (2017) - [j66]Chen Zu, Linling Zhu, Daoqiang Zhang:
Iterative sparsity score for feature selection and its extension for multimodal data. Neurocomputing 259: 146-153 (2017) - [j65]Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang:
Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics 15(2): 115-132 (2017) - [j64]Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu:
Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. 63: 511-517 (2017) - [j63]Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen:
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. 64(1): 238-249 (2017) - [c63]Muhammad Yousefnezhad, Daoqiang Zhang:
Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. AAAI 2017: 59-65 - [c62]Liang Sun, Wei Shao, Daoqiang Zhang:
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. ISBI 2017: 507-510 - [c61]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang:
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. MICCAI (3) 2017: 46-54 - [c60]Muhammad Yousefnezhad, Daoqiang Zhang:
Deep Hyperalignment. NIPS 2017: 1604-1612 - [c59]Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang:
Margin Distribution Logistic Machine. SDM 2017: 19-27 - [c58]Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. SDM 2017: 54-62 - [i8]Muhammad Yousefnezhad, Daoqiang Zhang:
Anatomical Pattern Analysis for decoding visual stimuli in human brains. CoRR abs/1710.02113 (2017) - [i7]Muhammad Yousefnezhad, Daoqiang Zhang:
Deep Hyperalignment. CoRR abs/1710.03923 (2017) - 2016
- [j62]Wei Shao, Mingxia Liu, Daoqiang Zhang:
Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinform. 32(1): 114-121 (2016) - [j61]Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang:
Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. Comput. Medical Imaging Graph. 52: 82-88 (2016) - [j60]Muhammad Yousefnezhad, Ali Reihanian, Daoqiang Zhang, Behrouz Minaei-Bidgoli:
A new selection strategy for selective cluster ensemble based on Diversity and Independency. Eng. Appl. Artif. Intell. 56: 260-272 (2016) - [j59]