AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis. - Huang, Jiashuang; Wang, Mingliang; Ju, Hengrong; Ding, Weiping; Zhang, Daoqiang (Biomed. Signal Process. Control., 2025)

Attention Detection Using EEG Signals and Machine Learning: A Review. - Sun, Qianru; Zhou, Yueying; Gong, Peiliang; Zhang, Daoqiang (Int. J. Autom. Comput., 2025)

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. - Huang, Jiahao; Yang, Liutao; Wang, Fanwen; Wu, Yinzhe; Nan, Yang; Wu, Weiwen; Wang, Chengyan; Shi, Kuangyu; Avilés-Rivero, Angelica I.; Schönlieb, Carola-Bibiane; Zhang, Daoqiang; Yang, Guang (Medical Image Anal., 2025)

Local structural-functional coupling with counterfactual explanations for epilepsy prediction. - Huang, Jiashuang; Wei, Shaolong; Gao, Zhen; Jiang, Shu; Wang, Mingliang; Sun, Liang; Ding, Weiping; Zhang, Daoqiang (NeuroImage, 2025)

Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis. - Li, Chaojun; Ma, Kai; Li, Shengrong; Meng, Xiangshui; Wang, Ran; Zhang, Daoqiang; Zhu, Qi (NeuroImage, 2025)

Edge-enhanced semi-supervised vertical convolutional neural network for tubular structure segmentation: Application to medical images. - Zhao, Junyong; Sun, Liang; Sun, Zhi; Fu, Yanling; Shao, Wei; Zhou, Xin; Si, Haipeng; Zhang, Daoqiang (Pattern Recognit., 2025)

Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey. - Zhang, Liying; Zhou, Yueying; Gong, Peiliang; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2025)

Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease. - Wang, Meiling; Shao, Wei; Huang, Shuo; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2025)

Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound. - Chen, Lingyu; Cao, Zhi; Zhang, Weijing; Tang, Xin; Zhao, Di; Zhang, Daoqiang; Liao, Hongen; Chen, Fang (IEEE Trans. Biomed. Eng., 2025)

Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis. - Li, Shengrong; Zhu, Qi; Guan, Donghai; Shen, Bo; Zhang, Li; Ji, Yixin; Qi, Shile; Zhang, Daoqiang (IEEE Trans. Instrum. Meas., 2025)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. - Yang, Liutao; Huang, Jiahao; Fang, Yingying; Avilés-Rivero, Angelica I.; Schönlieb, Carola-Bibiane; Zhang, Daoqiang; Yang, Guang (IEEE Trans. Instrum. Meas., 2025)

A Hierarchical Graph Convolutional Network With Infomax-Guided Graph Embedding for Population-Based ASD Detection. - Hao, Xiaoke; Ma, Mingming; Tao, Jiaqing; Cao, Jiahui; Qin, Jing; Liu, Feng; Zhang, Daoqiang; Ming, Dong (IEEE J. Biomed. Health Informatics, 2025)

MA-SAM: A Multi-Atlas Guided SAM Using Pseudo Mask Prompts Without Manual Annotation for Spine Image Segmentation. - Fan, Dingwei; Zhao, Junyong; Li, Chunlin; Wang, Xinlong; Zhang, Ronghan; Zhu, Qi; Wang, Mingliang; Si, Haipeng; Zhang, Daoqiang; Sun, Liang (IEEE Trans. Medical Imaging, 2025)

CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction Across Various Sampling Rates. - Yang, Liutao; Huang, Jiahao; Yang, Guang; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2025)

Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation. - Liu, Shiyu; Zhang, Daoqiang; Hao, Xiaoke (2025)

BDANet: A Binary-Dimensional Aware Network with Multi-Wise Attention for Cognitive Workload Recognition. - Shao, Yang; Zhou, Yueying; Zhang, Daoqiang (2025)

Vision-Language Model IP Protection via Prompt-based Learning. - Wang, Lianyu; Wang, Meng; Fu, Huazhu; Zhang, Daoqiang (2025)

Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder. - Zhou, Junjie; Tang, Jiao; Zuo, Yingli; Wan, Peng; Zhang, Daoqiang; Shao, Wei (2025)

Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information. - Shi, Hang; Chi, Changxi; Wan, Peng; Zhang, Daoqiang; Shao, Wei (2025)

DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction. - Zhou, Junjie; Wang, Shouju; Tang, Yuxia; Zhu, Qi; Zhang, Daoqiang; Shao, Wei (2025)

Reference-Guided Parallel Independent Component Analysis: Estimating Cognition Associated Multimodal Patterns In Schizophrenia. - Hu, Jingxian; Liang, Chuang; Adali, Tülay; Zhu, Qi; Zhang, Daoqiang; Jiang, Rongtao; Calhoun, Vince D.; Qi, Shile (2025)

Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. - Ji, Yixin; Calhoun, Vince D.; Jiang, Rongtao; Zhang, Daoqiang; Qi, Shile (2025)

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation. - Li, Ruiyi; He, Yuting; Ge, Rongjun; Wang, Chong; Zhang, Daoqiang; Chen, Yang; Li, Shuo (2025)

Cooperative and Competitive Functional Connectivity Based on Improved Ising Model. - Wei, Gengqian; Liang, Chuang; Adali, Tülay; Jiang, Rongtao; Zhang, Daoqiang; Calhoun, Vince D.; Qi, Shile (2025)

MPIDS: Multi-Group Perturbation Based Individualized Differential Structural Brain Network. - Huang, Zixin; Zhang, Yijie; Adali, Tülay; Jiang, Rongtao; Zhang, Daoqiang; Calhoun, Vince D.; Qi, Shile (2025)

THIDS: Triplet High-Order Individual Differential Structural Brain Network. - Wen, Dailin; Zhao, Chunzhi; Adali, Tülay; Zhang, Daoqiang; Calhoun, Vince D.; Qi, Shile (2025)

F2UE-NET: An Uncertainty-Driven Dynamic Expert Network for Long-Tail Retinal Disease Classification. - Zhao, Junyong; Lin, Tian; Wang, Meng; Sun, Liang; Chen, Haoyu; Zhang, Daoqiang; Fu, Huazhu (2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Gong, Peiliang; Ragab, Mohamed; Wu, Min; Chen, Zhenghua; Su, Yongyi; Li, Xiaoli; Zhang, Daoqiang (2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Gong, Peiliang; Ragab, Mohamed; Wu, Min; Chen, Zhenghua; Su, Yongyi; Li, Xiaoli; Zhang, Daoqiang (CoRR, 2025)

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation. - Li, Ruiyi; He, Yuting; Ge, Rongjun; Wang, Chong; Zhang, Daoqiang; Chen, Yang; Li, Shuo (CoRR, 2025)

Vision-Language Model IP Protection via Prompt-based Learning. - Wang, Lianyu; Wang, Meng; Fu, Huazhu; Zhang, Daoqiang (CoRR, 2025)

DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction. - Zhou, Junjie; Wang, Shouju; Tang, Yuxia; Zhu, Qi; Zhang, Daoqiang; Shao, Wei (CoRR, 2025)

Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder. - Zhou, Junjie; Tang, Jiao; Zuo, Yingli; Wan, Peng; Zhang, Daoqiang; Shao, Wei (CoRR, 2025)

Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization. - Gong, Peiliang; Eldele, Emadeldeen; Wu, Min; Chen, Zhenghua; Li, Xiao-Li; Zhang, Daoqiang (CoRR, 2025)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. - Gong, Peiliang; Wang, Yucheng; Wu, Min; Chen, Zhenghua; Li, Xiaoli; Zhang, Daoqiang (CoRR, 2025)

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning. - Zhou, Junjie; Zuo, Yingli; Shi, Feng; Wan, Peng; Zhu, Qi; Zhang, Daoqiang; Shao, Wei (CoRR, 2025)

MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image. - Zhao, Junyong; Sun, Liang; Sun, Zhi; Zhou, Xin; Si, Haipeng; Zhang, Daoqiang (Artif. Intell. Medicine, 2024)

MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. - Huang, Jiashuang; Qi, Xiaoyu; Cheng, Xueyun; Wang, Mingliang; Ju, Hengrong; Ding, Weiping; Zhang, Daoqiang (Artif. Intell. Medicine, 2024)

Mutual-assistance learning for trustworthy biomarker discovery and disease prediction. - Zhang, Jin; Yang, Yan; Shang, Muheng; Guo, Lei; Zhang, Daoqiang; Du, Lei (Briefings Bioinform., 2024)

T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. - Guan, Xiaoyu; Shao, Wei; Zhang, Daoqiang (Bioinform., 2024)

Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease. - Hao, Xiaoke; Li, Jiawang; Ma, Mingming; Qin, Jing; Zhang, Daoqiang; Liu, Feng (Comput. Biol. Medicine, 2024)

Complementary Labels Learning with Augmented Classes. - Li, Zhongnian; Xu, Mengting; Xu, Xinzheng; Zhang, Daoqiang (Knowl. Based Syst., 2024)

Automated individual cortical parcellation via consensus graph representation learning. - Wen, Xuyun; Yang, Mengting; Qi, Shile; Wu, Xia; Zhang, Daoqiang (NeuroImage, 2024)

Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. - Wang, Lianyu; Wang, Meng; Fu, Huazhu; Zhang, Daoqiang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. - Guan, Xi; Zhu, Qi; Sun, Liang; Zhao, Junyong; Zhang, Daoqiang; Wan, Peng; Shao, Wei (Pattern Recognit., 2024)

Dynamic Confidence-Aware Multi-Modal Emotion Recognition. - Zhu, Qi; Zheng, Chuhang; Zhang, Zheng; Shao, Wei; Zhang, Daoqiang (IEEE Trans. Affect. Comput., 2024)

A Generalized Full-to-Partial Registration Framework of 3D Point Sets for Computer-Aided Orthopedic Surgery. - Chen, Fang; Du, Qingjie; Zhao, Jing-xin; Zhao, Zhe; Zhang, Daoqiang; Liao, Hongen (IEEE Trans. Biomed. Eng., 2024)

Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq. - Zhu, Qi; Li, Aizhen; Zhang, Zheng; Zheng, Chuhang; Zhao, Junyong; Liu, Jin-Xing; Zhang, Daoqiang; Shao, Wei (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI. - Hao, Xiaoke; Wang, Jingyi; He, Zilong; Guo, Yingchun; Yu, Ming; Liu, Feng; Qin, Jing; Zhang, Daoqiang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. - Sun, Liang; Fu, Yanling; Zhao, Junyong; Shao, Wei; Zhu, Qi; Zhang, Daoqiang (IEEE Trans. Image Process., 2024)

D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network. - Wen, Xuyun; Cao, Qumei; Zhao, Yunxi; Wu, Xia; Zhang, Daoqiang (IEEE J. Biomed. Health Informatics, 2024)

TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG. - Gong, Peiliang; Wang, Pengpai; Zhou, Yueying; Wen, Xuyun; Zhang, Daoqiang (IEEE Trans. Intell. Transp. Syst., 2024)

Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. - Ma, Kai; Wen, Xuyun; Zhu, Qi; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2024)

Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. - Shao, Wei; Shi, Hang; Liu, Jianxin; Zuo, Yingli; Sun, Liang; Xia, Tiansong; Chen, Wanyuan; Wan, Peng; Sheng, Jianpeng; Zhu, Qi; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2024)

Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. - Zhu, Qi; Li, Shengrong; Meng, Xiangshui; Xu, Qiang; Zhang, Zhiqiang; Shao, Wei; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2024)

Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness. - Chen, Fang; Han, Haojie; Wan, Peng; Chen, Lingyu; Kong, Wentao; Liao, Hongen; Wen, Baojie; Liu, Chunrui; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2024)

InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Zhang, Daoqiang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations. - Shang, Muheng; Yang, Yan; Zhang, Jin; Zhang, Daoqiang; Du, Lei (2024)

Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort. - Zhang, Jin; Zhang, Minjianan; Guo, Lei; Zhang, Daoqiang; Du, Lei (2024)

Localization and Angle Estimation of Capsule Robots in Ultrasound Images Using Spatially Adaptive Gaussian Distribution. - Wang, Yue; Chen, Lingyu; Han, Haojie; Zhang, Daoqiang; Liao, Hongen; Chen, Fang (2024)

GPR-SCSANet: Unequal-Length Time Series Normalization with Split-Channel Residual Convolution and Self-Attention for Brain Age Prediction. - Sun, Fangling; Liang, Chuang; Adali, Tülay; Zhang, Daoqiang; Jiang, Rongtao; Calhoun, Vince D.; Qi, Shile (2024)

Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images. - Shao, Wei; Shi, Yangyang; Zhang, Daoqiang; Zhou, Junjie; Wan, Peng (2024)

A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding. - Zhang, Liying; Gong, Peiliang; Sun, Qianru; Zhou, Yueying; Zhu, Qi; Zhang, Daoqiang (2024)

A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. - Hao, Xiaoke; Ma, Mingming; Guo, Yingchun; Li, Jiawang; Qin, Jing; Zhang, Daoqiang (2024)

MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification. - Sun, Qianru; Wang, Lianyu; Zhang, Liying; Gong, Peiliang; Zhou, Yueying; Zhang, Daoqiang (2024)

AISA-DG: Automatic Implicit Style-Augmented Domain Generalization on Optic Disc/Cup Segmentation. - Wang, Lianyu; Fan, Dingwei; Wang, Meng; Zhang, Daoqiang (2024)

Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. - Wan, Peng; Zhang, Shukang; Shao, Wei; Zhao, Junyong; Yang, Yinkai; Kong, Wentao; Xue, Haiyan; Zhang, Daoqiang (2024)

OSAL-ND: Open-Set Active Learning for Nucleus Detection. - Tang, Jiao; Yue, Yagao; Wan, Peng; Wang, Mingliang; Zhang, Daoqiang; Shao, Wei (2024)

Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. - Tang, Xin; Cao, Zhi; Zhang, Weijing; Zhao, Di; Liao, Hongen; Zhang, Daoqiang; Chen, Fang (2024)

Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation. - Chen, Lingyu; Wang, Yue; Zhao, Zhe; Liao, Hongen; Zhang, Daoqiang; Han, Haojie; Chen, Fang (2024)

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. - Zhao, Yunxi; Nie, Dong; Chen, Geng; Wu, Xia; Zhang, Daoqiang; Wen, Xuyun (2024)

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. - Xue, Pengcheng; Nie, Dong; Zhu, Meijiao; Yang, Ming; Zhang, Han; Zhang, Daoqiang; Wen, Xuyun (2024)

Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning. - Shi, Yangyang; Zhu, Qi; Zuo, Yingli; Wan, Peng; Zhang, Daoqiang; Shao, Wei (2024)

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. - Huang, Jiahao; Yang, Liutao; Wang, Fanwen; Wu, Yinzhe; Nan, Yang; Avilés-Rivero, Angelica I.; Schönlieb, Carola-Bibiane; Zhang, Daoqiang; Yang, Guang (CoRR, 2024)

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. - Huang, Jiahao; Yang, Liutao; Wang, Fanwen; Nan, Yang; Wu, Weiwen; Wang, Chengyan; Shi, Kuangyu; Avilés-Rivero, Angelica I.; Schönlieb, Carola-Bibiane; Zhang, Daoqiang; Yang, Guang (CoRR, 2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. - Ragab, Mohamed; Gong, Peiliang; Eldele, Emadeldeen; Zhang, Wenyu; Wu, Min; Foo, Chuan-Sheng; Zhang, Daoqiang; Li, Xiaoli; Chen, Zhenghua (CoRR, 2024)

Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. - Chi, Changxi; Shi, Hang; Zhu, Qi; Zhang, Daoqiang; Shao, Wei (CoRR, 2024)

Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. - Wang, Lianyu; Wang, Meng; Fu, Huazhu; Zhang, Daoqiang (CoRR, 2024)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. - Yang, Liutao; Huang, Jiahao; Fang, Yingying; Avilés-Rivero, Angelica I.; Schönlieb, Carola-Bibiane; Zhang, Daoqiang; Yang, Guang (CoRR, 2024)

CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates. - Yang, Liutao; Huang, Jiahao; Yang, Guang; Zhang, Daoqiang (CoRR, 2024)

sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. - Zhang, Xin; Han, Liangxiu; Han, Lianghao; Chen, Haoming; Dancey, Darren; Zhang, Daoqiang (IEEE Access, 2023)

Active learning for efficient analysis of high-throughput nanopore data. - Guan, Xiaoyu; Li, Zhongnian; Zhou, Yueying; Shao, Wei; Zhang, Daoqiang (Bioinform., 2023)

Frequency constraint-based adversarial attack on deep neural networks for medical image classification. - Chen, Fang; Wang, Jian; Liu, Han; Kong, Wentao; Zhao, Zhe; Ma, Longfei; Liao, Hongen; Zhang, Daoqiang (Comput. Biol. Medicine, 2023)

Precise angle estimation of capsule robot in ultrasound using heatmap guided two-stage network. - Chen, Fang; Chen, Lingyu; Xu, Tianze; Ye, Haoran; Liao, Hongen; Zhang, Daoqiang (Comput. Methods Programs Biomed., 2023)

Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images. - Chen, Lingyu; Liao, Hongen; Kong, Wentao; Zhang, Daoqiang; Chen, Fang (Comput. Methods Programs Biomed., 2023)

Layer-wise partitioning and merging for efficient and scalable deep learning. - Akintoye, Samson B.; Han, Liangxiu; Lloyd, Huw; Zhang, X.; Dancey, Darren; Chen, Haoming; Zhang, Daoqiang (Future Gener. Comput. Syst., 2023)

Machine Learning for Brain Imaging Genomics Methods: A Review. - Wang, Mei-Ling; Shao, Wei; Hao, Xiaoke; Zhang, Daoqiang (Int. J. Autom. Comput., 2023)

SD-CNN: A static-dynamic convolutional neural network for functional brain networks. - Huang, Jiashuang; Wang, Mingliang; Ju, Hengrong; Shi, Zhenquan; Ding, Weiping; Zhang, Daoqiang (Medical Image Anal., 2023)

Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. - Wang, Meiling; Shao, Wei; Huang, Shuo; Zhang, Daoqiang (Medical Image Anal., 2023)

Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. - Sun, Liang; Shao, Wei; Zhu, Qi; Wang, Meiling; Li, Gang; Zhang, Daoqiang (Pattern Recognit., 2023)

Optimal transport based pyramid graph kernel for autism spectrum disorder diagnosis. - Ma, Kai; Huang, Shuo; Wan, Peng; Zhang, Daoqiang (Pattern Recognit., 2023)

A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. - Zhu, Qi; Zhu, Ting; Zhang, Rui; Ye, Haizhou; Sun, Kai; Xu, Yong; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2023)

Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. - Hao, Xiaoke; Wang, Ruxue; Guo, Yingchun; Xiao, Yunjia; Yu, Ming; Wang, Meiling; Chen, Weibin; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2023)

Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. - Yang, Qiming; Zhu, Qi; Wang, Mingming; Shao, Wei; Zhang, Zheng; Zhang, Daoqiang (IEEE Trans. Big Data, 2023)

Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. - Zhu, Qi; Yang, Qiming; Wang, Mingming; Xu, Xiangyu; Lu, Yuwu; Shao, Wei; Zhang, Daoqiang (IEEE Trans. Big Data, 2023)

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. - Hao, Xiaoke; Tan, Qihao; Guo, Yingchun; Xiao, Yunjia; Yu, Ming; Wang, Meiling; Qin, Jing; Zhang, Daoqiang; Initiative, Alzheimer's Disease Neuroimaging (IEEE Trans. Biomed. Eng., 2023)

Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. - Wan, Peng; Xue, Haiyan; Liu, Chunrui; Chen, Fang; Shao, Wei; Qin, Jing; Kong, Wentao; Zhang, Daoqiang (IEEE Trans. Biomed. Eng., 2023)

Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data. - Chen, Fang; Han, Haojie; Ning, Guochen; Wen, Baojie; Liao, Hongen; Kong, Wentao; Zhang, Daoqiang (IEEE Trans. Biomed. Eng., 2023)

Joint Segmentation and Differential Diagnosis of Thyroid Nodule in Contrast-Enhanced Ultrasound Images. - Chen, Fang; Han, Haojie; Wan, Peng; Liao, Hongen; Liu, Chunrui; Zhang, Daoqiang (IEEE Trans. Biomed. Eng., 2023)

T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction. - Guan, Xiaoyu; Zhang, Daoqiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder. - Zhu, Qi; Yang, Jing; Wang, Shuihua; Zhang, Daoqiang; Zhang, Zheng (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. - Zhu, Qi; Zhou, Yuze; Yao, Yuan; Sun, Liang; Shi, Feng; Shao, Wei; Zhang, Daoqiang; Shen, Dinggang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning. - Zhu, Qi; Zhou, Yuze; Fei, Lunke; Zhang, Daoqiang; Zhang, David (IEEE Trans. Inf. Forensics Secur., 2023)

Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN. - Zhu, Qi; Xin, Guangnan; Fei, Lunke; Liang, Dong; Zhang, Zheng; Zhang, Daoqiang; Zhang, David (IEEE Trans. Inf. Forensics Secur., 2023)

Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain-Computer Interface. - Wang, Pengpai; Gong, Peiliang; Zhou, Yueying; Wen, Xuyun; Zhang, Daoqiang (IEEE Trans. Instrum. Meas., 2023)

Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. - Zhou, Yueying; Wang, Pengpai; Gong, Peiliang; Wei, Fulin; Wen, Xuyun; Wu, Xia; Zhang, Daoqiang (IEEE Trans. Instrum. Meas., 2023)

CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. - Zhang, Xin; Han, Liangxiu; Sobeih, Tam; Han, Lianghao; Dempsey, Nina; Lechareas, Symeon; Tridente, Ascanio; Chen, Haoming; White, Stephen; Zhang, Daoqiang (IEEE J. Biomed. Health Informatics, 2023)

Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US. - Wan, Peng; Xue, Haiyan; Liu, Chunrui; Chen, Fang; Kong, Wentao; Zhang, Daoqiang (IEEE J. Biomed. Health Informatics, 2023)

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. - Yang, Liutao; Li, Zhongnian; Ge, Rongjun; Zhao, Junyong; Si, Haipeng; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2023)

Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. - Zhu, Qi; Xu, Bingliang; Huang, Jiashuang; Wang, Heyang; Xu, Ruting; Shao, Wei; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2023)

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. - Shao, Wei; Liu, Jianxin; Zuo, Yingli; Qi, Shile; Hong, Honghai; Sheng, Jianpeng; Zhu, Qi; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2023)

Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. - Shao, Wei; Zuo, Yingli; Shi, Yangyang; Wu, Yawen; Tang, Jiao; Zhao, Junyong; Sun, Liang; Lu, Zixiao; Sheng, Jianpeng; Zhu, Qi; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2023)

Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. - Chen, Fang; Chen, Lingyu; Kong, Wentao; Zhang, Weijing; Zheng, Pengfei; Sun, Liang; Zhang, Daoqiang; Liao, Hongen (IEEE Trans. Medical Imaging, 2023)

Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer's disease diagnosis. - Ye, Haizhou; Zhu, Qi; Yao, Yuan; Jin, Yichao; Zhang, Daoqiang (Vis. Comput., 2023)

Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS. - Wan, Peng; Liu, Chunrui; Zhang, Daoqiang (2023)

TSM: Three-Stream Mix For Unsupervised Medical Image Registration. - Gu, Zhen; Zhang, Daoqiang; Chen, Fang; Wan, Peng; Chen, Lingyu (2023)

PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net. - Yang, Dongying; Xia, Cong; Tian, Ge; Zhang, Daoqiang; Ge, Rongjun (2023)

DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer. - Kou, Yongqing; Xia, Cong; Jiao, Yiping; Zhang, Daoqiang; Ge, Rongjun (2023)

Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. - Wang, Lianyu; Wang, Meng; Zhang, Daoqiang; Fu, Huazhu (2023)

Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. - Liu, Jianxin; Ge, Rongjun; Wan, Peng; Zhu, Qi; Zhang, Daoqiang; Shao, Wei (2023)

A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. - Yang, Mengting; Hsu, Li-Ming; Qi, Shile; Zhang, Daoqiang; Wen, Xuyun (2023)

Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen. - Wang, Chong; Zhang, Daoqiang; Ge, Rongjun (2023)

Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. - Cao, Zhi; Zhang, Weijing; Chen, Keke; Zhao, Di; Zhang, Daoqiang; Liao, Hongen; Chen, Fang (2023)

Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. - Ma, Kai; Wen, Xuyun; Zhu, Qi; Zhang, Daoqiang (2023)

Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness. - Han, Haojie; Liao, Hongen; Zhang, Daoqiang; Kong, Wentao; Chen, Fang (2023)

Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. - Zheng, Chuhang; Shao, Wei; Zhang, Daoqiang; Zhu, Qi (2023)

JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition. - Ge, Rongjun; He, Yuting; Xia, Cong; Zhang, Daoqiang (2023)

Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. - Wu, Yawen; Zuo, Yingli; Zhu, Qi; Sheng, Jianpeng; Zhang, Daoqiang; Shao, Wei (2023)

Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. - Lin, Yili; Nie, Dong; Liu, Yuting; Yang, Ming; Zhang, Daoqiang; Wen, Xuyun (2023)

ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition. - Gong, Peiliang; Jia, Ziyu; Wang, Pengpai; Zhou, Yueying; Zhang, Daoqiang (2023)

sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. - Zhang, Xin; Han, Liangxiu; Han, Lianghao; Chen, Haoming; Dancey, Darren; Zhang, Daoqiang (CoRR, 2023)

Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. - Wang, Lianyu; Wang, Meng; Zhang, Daoqiang; Fu, Huazhu (CoRR, 2023)

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. - Wang, Meng; Lin, Tian; Wang, Lianyu; Lin, Aidi; Zou, Ke; Xu, Xinxing; Zhou, Yi; Peng, Yuanyuan; Meng, Qingquan; Qian, Yiming; Deng, Guoyao; Wu, Zhiqun; et al. (CoRR, 2023)

A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. - Akintoye, Samson B.; Han, Liangxiu; Zhang, Xin; Chen, Haoming; Zhang, Daoqiang (IEEE Access, 2022)

S2Snet: deep learning for low molecular weight RNA identification with nanopore. - Guan, Xiaoyu; Wang, Yuqin; Shao, Wei; Li, Zhongnian; Huang, Shuo; Zhang, Daoqiang (Briefings Bioinform., 2022)

Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. - Wang, Meiling; Shao, Wei; Hao, Xiaoke; Huang, Shuo; Zhang, Daoqiang (Bioinform., 2022)

Annotation-guided encoder-decoder network for bone extraction in ultrasound-assisted orthopedic surgery. - Chen, Fang; Xu, Peng; Xie, Yanting; Zhang, Daoqiang; Liao, Hongen; Zhao, Zhe (Comput. Biol. Medicine, 2022)

Residual-atrous attention network for lumbosacral plexus segmentation with MR image. - Zhao, Junyong; Sun, Liang; Zhou, Xin; Huang, Shuo; Si, Haipeng; Zhang, Daoqiang (Comput. Medical Imaging Graph., 2022)

TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation. - Chen, Fang; Ye, Haoran; Zhang, Daoqiang; Liao, Hongen (Comput. Methods Programs Biomed., 2022)

Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network. - Wang, Pengpai; Wang, Mingliang; Zhou, Yueying; Xu, Ziming; Zhang, Daoqiang (Frontiers Comput. Sci., 2022)

Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. - Yousefnezhad, Muhammad; Zhang, Daoqiang; Greenshaw, Andrew J.; Greiner, Russell (Frontiers Neuroinformatics, 2022)

Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis. - Zhang, Geng; Zhu, Qi; Yang, Jing; Xu, Ruting; Zhang, Zhiqiang; Zhang, Daoqiang (Int. J. Image Graph., 2022)

Incomplete multi-modal brain image fusion for epilepsy classification. - Zhu, Qi; Li, Huijie; Ye, Haizhou; Zhang, Zhiqiang; Wang, Ran; Fan, Zizhu; Zhang, Daoqiang (Inf. Sci., 2022)

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. - Ge, Rongjun; He, Yuting; Xia, Cong; Xu, Chenchu; Sun, Weiya; Yang, Guanyu; Li, Junru; Wang, Zhihua; Yu, Hailing; Zhang, Daoqiang; Chen, Yang; Luo, Limin; et al. (Knowl. Based Syst., 2022)

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification. - Ge, Rongjun; Xia, Cong; He, Yuting; Sun, Hailong; Zhang, Daoqiang; Yang, Guanyu; Xiang, Wentao; Shi, Jinjun; Luo, Limin; Zhu, Yinsu; Li, Shuo; Chen, Yang (Knowl. Based Syst., 2022)

Efficient lower-limb segmentation for large-scale volumetric CT by using projection view and voxel group attention. - Chen, Fang; Xie, Yanting; Xu, Peng; Zhao, Zhe; Zhang, Daoqiang; Liao, Hongen (Medical Biol. Eng. Comput., 2022)

Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. - Wang, Mingliang; Zhang, Daoqiang; Huang, Jiashuang; Liu, Mingxia; Liu, Qingshan (Medical Image Anal., 2022)

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. - Shi, Yuang; Zu, Chen; Hong, Mei; Zhou, Luping; Wang, Lei; Wu, Xi; Zhou, Jiliu; Zhang, Daoqiang; Wang, Yan (Pattern Recognit., 2022)

Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. - Zhou, Yueying; Huang, Shuo; Xu, Ziming; Wang, Pengpai; Wu, Xia; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2022)

Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. - Huang, Shuo; Sun, Liang; Yousefnezhad, Muhammad; Wang, Meiling; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2022)

An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. - Zhang, Xin; Han, Liangxiu; Zhu, Wenyong; Sun, Liang; Zhang, Daoqiang (IEEE J. Biomed. Health Informatics, 2022)

A Graph Convolutional Multiple Instance Learning on a Hypersphere Manifold Approach for Diagnosing Chronic Obstructive Pulmonary Disease in CT Images. - Chen, Ling; Feng, Qixing; Yin, Xi; Min, Xiangde; Shi, Lei; Yang, Defu; Chen, Yen-Wei; Zhang, Daoqiang; Zhu, Wentao (IEEE J. Biomed. Health Informatics, 2022)

MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. - Xu, Mengting; Zhang, Tao; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2022)

Stacked Topological Preserving Dynamic Brain Networks Representation and Classification. - Zhu, Qi; Xu, Ruting; Wang, Ran; Xu, Xijia; Zhang, Zhiqiang; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2022)

Multimodal Triplet Attention Network for Brain Disease Diagnosis. - Zhu, Qi; Wang, Heyang; Xu, Bingliang; Zhang, Zhiqiang; Shao, Wei; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2022)

Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. - Xu, Bingliang; Ye, Haizhou; Zhang, Zheng; Zhang, Daoqiang; Zhu, Qi (2022)

Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging. - Pei, Zongxiang; Zhang, Daoqiang; Shao, Wei (2022)

A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity. - Wen, Xuyun; Cao, Qumei; Zhang, Daoqiang (2022)

TcT: Temporal and channel Transformer for EEG-based Emotion Recognition. - Liu, Yanling; Zhou, Yueying; Zhang, Daoqiang (2022)

Region-Based Dense Adversarial Generation for Medical Image Segmentation. - Shen, Ao; Sun, Liang; Xu, Mengting; Zhang, Daoqiang (2022)

Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. - Pei, Zongxiang; Zuo, Yingli; Sun, Liang; Wang, Meiling; Zhang, Daoqiang; Shao, Wei (2022)

Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition. - Zhou, Yueying; Wang, Pengpai; Gong, Peiliang; Liu, Yanling; Wen, Xuyun; Wu, Xia; Zhang, Daoqiang (2022)

Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. - Ma, Kai; Wen, Xuyun; Zhu, Qi; Zhang, Daoqiang (2022)

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. - Zuo, Yingli; Wu, Yawen; Lu, Zixiao; Zhu, Qi; Huang, Kun; Zhang, Daoqiang; Shao, Wei (2022)

Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary. - Xie, Yanting; Liao, Hongen; Zhang, Daoqiang; Chen, Fang (2022)

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. - Ge, Rongjun; He, Yuting; Xia, Cong; Sun, Hailong; Zhang, Yikun; Hu, Dianlin; Chen, Sijie; Chen, Yang; Li, Shuo; Zhang, Daoqiang (2022)

Learning Projection Views for Sparse-View CT Reconstruction. - Yang, Liutao; Ge, Rongjun; Feng, Shichang; Zhang, Daoqiang (2022)

3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts. - Kou, Yongqing; Ge, Rongjun; Zhang, Daoqiang (2022)

Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Zhang, Daoqiang (CoRR, 2022)

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. - Yang, Liutao; Li, Zhongnian; Ge, Rongjun; Zhao, Junyong; Si, Haipeng; Zhang, Daoqiang (CoRR, 2022)

InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Zhang, Daoqiang (CoRR, 2022)

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. - Akintoye, Samson B.; Han, Liangxiu; Lloyd, Huw; Zhang, Xin; Dancey, Darren; Chen, Haoming; Zhang, Daoqiang (CoRR, 2022)

Learning from Positive and Unlabeled Data with Augmented Classes. - Li, Zhongnian; Yang, Liutao; Ma, Zhongchen; Sun, Tongfeng; Xu, Xinzheng; Zhang, Daoqiang (CoRR, 2022)

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain. - Wang, Lianyu; Wang, Meng; Zhang, Daoqiang; Fu, Huazhu (CoRR, 2022)

Complementary Labels Learning with Augmented Classes. - Li, Zhongnian; Zhang, Jian; Xu, Mengting; Xu, Xinzheng; Zhang, Daoqiang (CoRR, 2022)

GACDN: generative adversarial feature completion and diagnosis network for COVID-19. - Zhu, Qi; Ye, Haizhou; Sun, Liang; Li, Zhongnian; Wang, Ran; Shi, Feng; Shen, Dinggang; Zhang, Daoqiang (BMC Medical Imaging, 2021)

Detecting differential transcript usage across multiple conditions for RNA-seq data based on the smoothed LDA model. - Li, Jing; Liu, Xuejun; Zhang, Daoqiang (Frontiers Comput. Sci., 2021)

fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. - Huang, Shuo; Shao, Wei; Wang, Mei-Ling; Zhang, Daoqiang (Int. J. Autom. Comput., 2021)

Towards evaluating the robustness of deep diagnostic models by adversarial attack. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Liu, Mingxia; Zhang, Daoqiang (Medical Image Anal., 2021)

Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. - Wang, Mingliang; Huang, Jiashuang; Liu, Mingxia; Zhang, Daoqiang (Medical Image Anal., 2021)

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. - Yousefnezhad, Muhammad; Sawalha, Jeffrey; Selvitella, Alessandro; Zhang, Daoqiang (Neuroinformatics, 2021)

Visual-guided attentive attributes embedding for zero-shot learning. - Zhang, Rui; Zhu, Qi; Xu, Xiangyu; Zhang, Daoqiang; Huang, Sheng-Jun (Neural Networks, 2021)

Deep Rényi entropy graph kernel. - Xu, Lixiang; Bai, Lu; Jiang, Xiaoyi; Tan, Ming; Zhang, Daoqiang; Luo, Bin (Pattern Recognit., 2021)

Supervised Hyperalignment for Multisubject fMRI Data Alignment. - Yousefnezhad, Muhammad; Selvitella, Alessandro; Han, Liangxiu; Zhang, Daoqiang (IEEE Trans. Cogn. Dev. Syst., 2021)

Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. - Wang, Meiling; Shao, Wei; Hao, Xiaoke; Shen, Li; Zhang, Daoqiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Guest Editorial Multi-Modal Computing for Biomedical Intelligence Systems. - Zheng, Guoyan; Zhang, Daoqiang; Zhao, Wenbing (IEEE J. Biomed. Health Informatics, 2021)

Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. - Wan, Peng; Chen, Fang; Liu, Chunrui; Kong, Wentao; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2021)

Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. - Wang, Meiling; Shao, Wei; Hao, Xiaoke; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2021)

Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. - Zhu, Wenyong; Sun, Liang; Huang, Jiashuang; Han, Liangxiu; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2021)

An effective recognition approach for contactless palmprint. - Xu, Nuoya; Zhu, Qi; Xu, Xiangyu; Zhang, Daoqiang (Vis. Comput., 2021)

A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network. - Wen, Xuyun; Zhang, Daoqiang (2021)

A Consistency Regularization for Certified Robust Neural Networks. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Zhang, Daoqiang (2021)

GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces. - Wang, Pengpai; Zhou, Yueying; Li, Zhongnian; Zhang, Daoqiang (2021)

Image-Based 3D Ultrasound Reconstruction with Optical Flow via Pyramid Warping Network. - Xie, Yanting; Liao, Hongen; Zhang, Daoqiang; Zhou, Lei; Chen, Fang (2021)

Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis. - Zhou, Haiyu; Zhang, Daoqiang (2021)

Fs-Net: Filter Selection Network For Hyperspectral Reconstruction. - Yang, Liutao; Li, Zhongnian; Pei, Zongxiang; Zhang, Daoqiang (2021)

A Multilayer Maximum Spanning Tree Kernel For Brain Networks. - Wang, Xiaoxin; Wen, Xuyun; Ma, Kai; Zhang, Daoqiang (2021)

Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. - Wang, Meiling; Shao, Wei; Huang, Shuo; Zhang, Daoqiang (2021)

Dual-Attention Network for Acute Pancreatitis Lesion Detection with CT Images. - Zhang, Jinyi; Zhang, Daoqiang (2021)

Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound. - Wan, Peng; Liu, Chunrui; Chen, Fang; Qin, Jing; Zhang, Daoqiang (2021)

Sign-aware Perturbations Regression. - Li, Zhongnian; Zhang, Tao; Shao, Wei; Chen, Songcan; Zhang, Daoqiang (2021)

Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Liu, Mingxia; Zhang, Daoqiang (CoRR, 2021)

A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. - Akintoye, Samson B.; Han, Liangxiu; Zhang, Xin; Chen, Haoming; Zhang, Daoqiang (CoRR, 2021)

MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. - Xu, Mengting; Zhang, Tao; Zhang, Daoqiang (CoRR, 2021)

IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. - Han, Liangxiu; Zhang, Daoqiang; Rana, Omer F.; Pan, Yi; Jabbar, Sohail; Yousif, Mazin; Aloqaily, Moayad (IEEE Access, 2020)

Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. - Shao, Wei; Peng, Yao; Zu, Chen; Wang, Mingliang; Zhang, Daoqiang (Comput. Medical Imaging Graph., 2020)

Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching. - Chen, Fang; Zhao, Zhe; Liu, Jia; Cui, Xiwen; Zhang, Daoqiang; Su, Xiu-yun; Zhao, Jing-xin; Tang, Peifu; Liao, Hongen (Comput. Medical Imaging Graph., 2020)

Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. - Chen, Fang; Cui, Xiwen; Zhao, Zhe; Zhang, Daoqiang; Ma, Cong; Zhang, Xinran; Liao, Hongen (Comput. Medical Imaging Graph., 2020)

LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. - Zhu, Qi; Zhang, Rui; Huang, Sheng-Jun; Zhang, Zheng; Zhang, Daoqiang (Inf. Sci., 2020)

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. - Hao, Xiaoke; Bao, Yongjin; Guo, Yingchun; Yu, Ming; Zhang, Daoqiang; Risacher, Shannon L.; Saykin, Andrew J.; Yao, Xiaohui; Shen, Li (Medical Image Anal., 2020)

A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. - Huang, Jiashuang; Wang, Mingliang; Xu, Xijia; Jie, Biao; Zhang, Daoqiang (Medical Image Anal., 2020)

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. - Shao, Wei; Wang, Tongxin; Sun, Liang; Dong, Tianhan; Han, Zhi; Huang, Zhi; Zhang, Jie; Zhang, Daoqiang; Huang, Kun (Medical Image Anal., 2020)

Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. - Zhu, Qi; Xu, Nuoya; Huang, Sheng-Jun; Qian, Jianjun; Zhang, Daoqiang (Int. J. Mach. Learn. Cybern., 2020)

Cross-spectral palmprint recognition with low-rank canonical correlation analysis. - Zhu, Qi; Xu, Nuoya; Zhang, Zheng; Guan, Donghai; Wang, Ran; Zhang, Daoqiang (Multim. Tools Appl., 2020)

Hierarchical Structured Sparse Learning for Schizophrenia Identification. - Wang, Mingliang; Hao, Xiaoke; Huang, Jiashuang; Wang, Kangcheng; Shen, Li; Xu, Xijia; Zhang, Daoqiang; Liu, Mingxia (Neuroinformatics, 2020)

Latent correlation embedded discriminative multi-modal data fusion. - Zhu, Qi; Xu, Xiangyu; Yuan, Ning; Zhang, Zheng; Guan, Donghai; Huang, Sheng-Jun; Zhang, Daoqiang (Signal Process., 2020)

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. - Wang, Mingliang; Lian, Chunfeng; Yao, Dongren; Zhang, Daoqiang; Liu, Mingxia; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2020)

Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping. - Chen, Fang; Cui, Xiwen; Liu, Jia; Han, Boxuan; Zhang, Xinran; Zhang, Daoqiang; Liao, Hongen (IEEE Trans. Biomed. Eng., 2020)

Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. - Shao, Wei; Huang, Sheng-Jun; Liu, Mingxia; Zhang, Daoqiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. - Sun, Liang; Shao, Wei; Wang, Mingliang; Zhang, Daoqiang; Liu, Mingxia (IEEE Trans. Image Process., 2020)

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. - Huang, Jiashuang; Zhu, Qi; Wang, Mingliang; Zhou, Luping; Zhang, Zhiqiang; Zhang, Daoqiang (IEEE J. Biomed. Health Informatics, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. - Sun, Liang; Mo, Zhanhao; Yan, Fuhua; Xia, Liming; Shan, Fei; Ding, Zhongxiang; Song, Bin; Gao, Wanchun; Shao, Wei; Shi, Feng; Yuan, Huan; Jiang, Huiting; et al. (IEEE J. Biomed. Health Informatics, 2020)

Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study. - Chen, Fang; Liu, Jia; Zhang, Xinran; Zhang, Daoqiang; Liao, Hongen (IEEE J. Biomed. Health Informatics, 2020)

Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. - Shao, Wei; Huang, Kun; Han, Zhi; Cheng, Jun; Cheng, Liang; Wang, Tongxin; Sun, Liang; Lu, Zixiao; Zhang, Jie; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2020)

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. - Wang, Mingliang; Zhang, Daoqiang; Huang, Jiashuang; Yap, Pew-Thian; Shen, Dinggang; Liu, Mingxia (IEEE Trans. Medical Imaging, 2020)

Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. - Sun, Liang; Shao, Wei; Zhang, Daoqiang; Liu, Mingxia (IEEE Trans. Medical Imaging, 2020)

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. - Huang, Jiashuang; Zhou, Luping; Wang, Lei; Zhang, Daoqiang (IEEE Trans. Medical Imaging, 2020)

Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. - Li, Weida; Liu, Mingxia; Chen, Fang; Zhang, Daoqiang (2020)

Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. - Huang, Shuo; Sun, Liang; Yousefnezhad, Muhammad; Wang, Meiling; Zhang, Daoqiang (2020)

Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures. - Xu, Zhenxing; Wan, Peng; Aihemaiti, Gulibire; Zhang, Daoqiang (2020)

CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. - Wan, Peng; Chen, Fang; Zhu, Xiaowei; Liu, Chunrui; Zhang, Yidan; Kong, Wentao; Zhang, Daoqiang (2020)

Unified Brain Network with Functional and Structural Data. - Yang, Jing; Zhu, Qi; Zhang, Rui; Huang, Jiashuang; Zhang, Daoqiang (2020)

Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. - Feng, Chunxiang; Jie, Biao; Ding, Xintao; Zhang, Daoqiang; Liu, Mingxia (2020)

Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI. - Zhang, Junyi; Wan, Peng; Zhang, Daoqiang (2020)

MRI Measurement Matrix Learning via Correlation Reweighting. - Li, Zhongnian; Zhang, Tao; Chen, Ruoyu; Zhang, Daoqiang (2020)

Shared Space Transfer Learning for analyzing multi-site fMRI data. - Yousefnezhad, Muhammad; Selvitella, Alessandro; Zhang, Daoqiang; Greenshaw, Andrew J.; Greiner, Russell (2020)

Depth-Adaptive Discriminant Projection with Optimal Transport. - Wan, Peng; Zhang, Daoqiang (2020)

Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. - Huang, Jiashuang; Li, Xu; Wang, Mingliang; Zhang, Daoqiang (2020)

Supervised Hyperalignment for multi-subject fMRI data alignment. - Yousefnezhad, Muhammad; Selvitella, Alessandro; Han, Liangxiu; Zhang, Daoqiang (CoRR, 2020)

Nyström Subspace Learning for Large-scale SVMs. - Li, Weida; Liu, Mingxia; Zhang, Daoqiang (CoRR, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. - Sun, Liang; Mo, Zhanhao; Yan, Fuhua; Xia, Liming; Shan, Fei; Ding, Zhongxiang; Shao, Wei; Shi, Feng; Yuan, Huan; Jiang, Huiting; Wu, Dijia; Wei, Ying; et al. (CoRR, 2020)

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. - Zhang, Li; Wang, Mingliang; Liu, Mingxia; Zhang, Daoqiang (CoRR, 2020)

An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. - Zhang, Xin; Han, Liangxiu; Zhu, Wenyong; Sun, Liang; Zhang, Daoqiang (CoRR, 2020)

Ordinal Pattern Kernel for Brain Connectivity Network Classification. - Ma, Kai; Jie, Biao; Shao, Wei; Zhang, Daoqiang (CoRR, 2020)

Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset. - Yousefnezhad, Muhammad; Sawalha, Jeffrey; Selvitella, Alessandro; Zhang, Daoqiang (CoRR, 2020)

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease. - Shi, Yuang; Zu, Chen; Hong, Mei; Zhou, Luping; Wang, Lei; Wu, Xi; Zhou, Jiliu; Zhang, Daoqiang; Wang, Yan (CoRR, 2020)

Shared Space Transfer Learning for analyzing multi-site fMRI data. - Yousefnezhad, Muhammad; Selvitella, Alessandro; Zhang, Daoqiang; Greenshaw, Andrew J.; Greiner, Russell (CoRR, 2020)

Transport based Graph Kernels. - Ma, Kai; Wan, Peng; Zhang, Daoqiang (CoRR, 2020)

Improving the Certified Robustness of Neural Networks via Consistency Regularization. - Xu, Mengting; Zhang, Tao; Li, Zhongnian; Shao, Wei; Zhang, Daoqiang (CoRR, 2020)

Reliability-based robust multi-atlas label fusion for brain MRI segmentation. - Sun, Liang; Zu, Chen; Shao, Wei; Guang, Junye; Zhang, Daoqiang; Liu, Mingxia (Artif. Intell. Medicine, 2019)

Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. - Wang, Meiling; Hao, Xiaoke; Huang, Jiashuang; Shao, Wei; Zhang, Daoqiang (Bioinform., 2019)

Tongue image segmentation via color decomposition and thresholding. - Li, Zuoyong; Yu, Zhaochai; Liu, Weixia; Xu, Yong; Zhang, Daoqiang; Cheng, Yong (Concurr. Comput. Pract. Exp., 2019)

Multi-modal AD classification via self-paced latent correlation analysis. - Zhu, Qi; Yuan, Ning; Huang, Jiashuang; Hao, Xiaoke; Zhang, Daoqiang (Neurocomputing, 2019)

Tongue Image Segmentation via Thresholding and Gray Projection. - Liu, Weixia; Hu, Jinmei; Li, Zuoyong; Zhang, Zuchang; Ma, Zhongli; Zhang, Daoqiang (KSII Trans. Internet Inf. Syst., 2019)

Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. - Wang, Mingliang; Zhang, Daoqiang; Shen, Dinggang; Liu, Mingxia (Medical Image Anal., 2019)

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. - Sun, Liang; Zhang, Daoqiang; Lian, Chunfeng; Wang, Li; Wu, Zhengwang; Shao, Wei; Lin, Weili; Shen, Dinggang; Li, Gang (NeuroImage, 2019)

Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. - Yousefnezhad, Muhammad; Zhang, Daoqiang (Neuroinformatics, 2019)

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. - Hao, Xiaoke; Yao, Xiaohui; Risacher, Shannon L.; Saykin, Andrew J.; Yu, Jintai; Wang, Huifu; Tan, Lan; Shen, Li; Zhang, Daoqiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. - Huang, Jiashuang; Zhu, Qi; Hao, Xiaoke; Shi, Xiaomeng; Gao, Shuzhan; Xu, Xijia; Zhang, Daoqiang (IEEE J. Biomed. Health Informatics, 2019)

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Li, Zhongnian; Zhang, Tao; Wan, Peng; Zhang, Daoqiang (2019)

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. - Wang, Mingliang; Huang, Jiashuang; Liu, Mingxia; Zhang, Daoqiang (2019)

Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. - Chen, Ruoyu; Li, Zhongnian; Zhang, Daoqiang (2019)

A New Network Traffic Identification Base on Deep Factorization Machine. - Xu, Zhenxing; Zhang, Junyi; Zhang, Daoqiang; Wei, Hanyu (2019)

Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. - Li, Huijie; Zhu, Qi; Zhang, Rui; Zhang, Daoqiang (2019)

Graph Hyperalignment for Multi-subject fMRI Functional Alignment. - Li, Weida; Chen, Fang; Zhang, Daoqiang (2019)

Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. - Wang, Zhengdong; Jie, Biao; Bian, Weixin; Zhang, Daoqiang; Shen, Dinggang; Liu, Mingxia (2019)

Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. - Shao, Wei; Wang, Tongxin; Huang, Zhi; Cheng, Jun; Han, Zhi; Zhang, Daoqiang; Huang, Kun (2019)

Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. - Li, Junwei; Shao, Wei; Li, Zhongnian; Li, Weida; Zhang, Daoqiang (2019)

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. - Huang, Jiashuang; Zhou, Luping; Wang, Lei; Zhang, Daoqiang (2019)

Improved Procedures for Training Primal Wasserstein GANs. - Zhang, Tao; Li, Zhongnian; Zhu, Qi; Zhang, Daoqiang (2019)

Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification. - Jiang, You; Li, Zhongnian; Zhang, Daoqiang (2019)

Human Brain and Artificial Intelligence - First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers (Springer, 2019)

Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (Springer, 2019)

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Li, Zhongnian; Zhang, Tao; Zhang, Daoqiang (CoRR, 2019)

A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment. - Li, Weida; Chen, Fang; Zhang, Daoqiang (CoRR, 2019)

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. - Zhu, Qi; Zhu, Jiuwen; Liu, Mingxia; Xu, Xijia; Zhang, Daoqiang (IEEE Access, 2018)

Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains. - Yousefnezhad, Muhammad; Zhang, Daoqiang (Cogn. Comput., 2018)

An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. - Shao, Wei; Liu, Mingxia; Xu, Ying-Ying; Shen, Hong-Bin; Zhang, Daoqiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. - Yousefnezhad, Muhammad; Huang, Sheng-Jun; Zhang, Daoqiang (IEEE Trans. Cybern., 2018)

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. - Jie, Biao; Liu, Mingxia; Zhang, Daoqiang; Shen, Dinggang (IEEE Trans. Image Process., 2018)

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. - Zhang, Daoqiang; Huang, Jiashuang; Jie, Biao; Du, Junqiang; Tu, Liyang; Liu, Mingxia (IEEE Trans. Medical Imaging, 2018)

Context Awareness Group Buying in D2D Networks: A Coalition Formation Game-Theoretic Approach. - Zhang, Yuli; Xu, Yuhua; Wu, Qihui; Luo, Yunpeng; Xu, Yitao; Chen, Xueqiang; Anpalagan, Alagan; Zhang, Daoqiang (IEEE Trans. Veh. Technol., 2018)

Deep active learning for nucleus classification in pathology images. - Shao, Wei; Sun, Liang; Zhang, Daoqiang (2018)

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. - Zu, Chen; Wang, Yan; Zhou, Luping; Wang, Lei; Zhang, Daoqiang (2018)

Investor-Imitator: A Framework for Trading Knowledge Extraction. - Ding, Yi; Liu, Weiqing; Bian, Jiang; Zhang, Daoqiang; Liu, Tie-Yan (2018)

Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. - Sun, Liang; Zhang, Daoqiang; Wang, Li; Shao, Wei; Chen, Zengsi; Lin, Weili; Shen, Dinggang; Li, Gang (2018)

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. - Wang, Mingliang; Zhang, Daoqiang; Huang, Jiashuang; Shen, Dinggang; Liu, Mingxia (2018)

Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. - Shao, Wei; Cheng, Jun; Sun, Liang; Han, Zhi; Feng, Qianjin; Zhang, Daoqiang; Huang, Kun (2018)

Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. - Sheng, Xiaoliang; Yousefnezhad, Muhammad; Xu, Tonglin; Yuan, Ning; Zhang, Daoqiang (2018)

Gradient Hyperalignment for Multi-subject fMRI Data Alignment. - Xu, Tonglin; Yousefnezhad, Muhammad; Zhang, Daoqiang (2018)

Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. - Mao, Bingcheng; Huang, Jiashuang; Zhang, Daoqiang (2018)

Gradient Hyperalignment for multi-subject fMRI data alignment. - Xu, Tonglin; Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2018)

Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2018)

Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. - Sheng, Xiaoliang; Yousefnezhad, Muhammad; Xu, Tonglin; Yuan, Ning; Zhang, Daoqiang (CoRR, 2018)

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. - Hao, Xiaoke; Li, Chanxiu; Yan, Jingwen; Yao, Xiaohui; Risacher, Shannon L.; Saykin, Andrew J.; Shen, Li; Zhang, Daoqiang (Bioinform., 2017)

Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. - Shao, Wei; Ding, Yi; Shen, Hong-Bin; Zhang, Daoqiang (Frontiers Comput. Sci., 2017)

Multi-modal dimensionality reduction using effective distance. - Zhang, Dan; Zhu, Qi; Zhang, Daoqiang (Neurocomputing, 2017)

Iterative sparsity score for feature selection and its extension for multimodal data. - Zu, Chen; Zhu, Linling; Zhang, Daoqiang (Neurocomputing, 2017)

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. - Cheng, Bo; Liu, Mingxia; Shen, Dinggang; Li, Zuoyong; Zhang, Daoqiang (Neuroinformatics, 2017)

Robust multi-atlas label propagation by deep sparse representation. - Zu, Chen; Wang, Zhengxia; Zhang, Daoqiang; Liang, Peipeng; Shi, Yonghong; Shen, Dinggang; Wu, Guorong (Pattern Recognit., 2017)

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. - Jie, Biao; Liu, Mingxia; Liu, Jun; Zhang, Daoqiang; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2017)

Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. - Yousefnezhad, Muhammad; Zhang, Daoqiang (2017)

High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. - Sun, Liang; Shao, Wei; Zhang, Daoqiang (2017)

Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. - Wang, Mingliang; Hao, Xiaoke; Huang, Jiashuang; Wang, Kangcheng; Xu, Xijia; Zhang, Daoqiang (2017)

Deep Hyperalignment. - Yousefnezhad, Muhammad; Zhang, Daoqiang (2017)

Margin Distribution Logistic Machine. - Ding, Yi; Huang, Sheng-Jun; Zu, Chen; Zhang, Daoqiang (2017)

Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. - Yousefnezhad, Muhammad; Zhang, Daoqiang (2017)

Anatomical Pattern Analysis for decoding visual stimuli in human brains. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2017)

Deep Hyperalignment. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2017)

Human cell structure-driven model construction for predicting protein subcellular location from biological images. - Shao, Wei; Liu, Mingxia; Zhang, Daoqiang (Bioinform., 2016)

Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. - Du, Junqiang; Wang, Lipeng; Jie, Biao; Zhang, Daoqiang (Comput. Medical Imaging Graph., 2016)

A new selection strategy for selective cluster ensemble based on Diversity and Independency. - Yousefnezhad, Muhammad; Reihanian, Ali; Zhang, Daoqiang; Minaei-Bidgoli, Behrouz (Eng. Appl. Artif. Intell., 2016)

Multi-view dimensionality reduction via canonical random correlation analysis. - Zhang, Yanyan; Zhang, Jianchun; Pan, Zhisong; Zhang, Daoqiang (Frontiers Comput. Sci., 2016)

A learning-based CT prostate segmentation method via joint transductive feature selection and regression. - Shi, Yinghuan; Gao, Yaozong; Liao, Shu; Zhang, Daoqiang; Gao, Yang; Shen, Dinggang (Neurocomputing, 2016)

Canonical sparse cross-view correlation analysis. - Zu, Chen; Zhang, Daoqiang (Neurocomputing, 2016)

Feature selection with effective distance. - Liu, Mingxia; Zhang, Daoqiang (Neurocomputing, 2016)

Hyper-connectivity of functional networks for brain disease diagnosis. - Jie, Biao; Wee, Chong-Yaw; Shen, Dinggang; Zhang, Daoqiang (Medical Image Anal., 2016)

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. - Hao, Xiaoke; Yao, Xiaohui; Yan, Jingwen; Risacher, Shannon L.; Saykin, Andrew J.; Zhang, Daoqiang; Shen, Li (Neuroinformatics, 2016)

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. - Liu, Mingxia; Zhang, Daoqiang; Chen, Songcan; Xue, Hui (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. - Liu, Mingxia; Zhang, Daoqiang; Adeli, Ehsan; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2016)

Pairwise Constraint-Guided Sparse Learning for Feature Selection. - Liu, Mingxia; Zhang, Daoqiang (IEEE Trans. Cybern., 2016)

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. - Liu, Mingxia; Zhang, Daoqiang; Shen, Dinggang (IEEE Trans. Medical Imaging, 2016)

Sub-network Based Kernels for Brain Network Classification. - Jie, Biao; Liu, Mingxia; Jiang, Xi; Zhang, Daoqiang (2016)

Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images. - Yousefnezhad, Muhammad; Zhang, Daoqiang (2016)

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. - Liu, Mingxia; Du, Junqiang; Jie, Biao; Zhang, Daoqiang (2016)

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. - Zu, Chen; Gao, Yue; Munsell, Brent C.; Kim, Minjeong; Peng, Zi-Wen; Zhu, Yingying; Gao, Wei; Zhang, Daoqiang; Shen, Dinggang; Wu, Guorong (2016)

Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. - Hao, Xiaoke; Yan, Jingwen; Yao, Xiaohui; Risacher, Shannon L.; Saykin, Andrew J.; Zhang, Daoqiang; Shen, Li (2016)

Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings (Springer, 2016)

Weighted Spectral Cluster Ensemble. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2016)

Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2016)

A new selection strategy for selective cluster ensemble based on Diversity and Independency. - Yousefnezhad, Muhammad; Reihanian, Ali; Zhang, Daoqiang; Minaei-Bidgoli, Behrouz (CoRR, 2016)

Local Discriminant Hyperalignment for multi-subject fMRI data alignment. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2016)

WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. - Yousefnezhad, Muhammad; Huang, Sheng-Jun; Zhang, Daoqiang (CoRR, 2016)

Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. - Yousefnezhad, Muhammad; Zhang, Daoqiang (CoRR, 2016)

Machine learning in medical imaging. - Shen, Dinggang; Wu, Guorong; Zhang, Daoqiang; Suzuki, Kenji; Wang, Fei; Yan, Pingkun (Comput. Medical Imaging Graph., 2015)

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. - Shi, Yinghuan; Gao, Yaozong; Liao, Shu; Zhang, Daoqiang; Gao, Yang; Shen, Dinggang (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Domain Transfer Learning for MCI Conversion Prediction. - Cheng, Bo; Liu, Mingxia; Zhang, Daoqiang; Munsell, Brent C.; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2015)

EditorialMachine Learning and Data Mining in Medical Imaging. - Shen, Dinggang; Zhang, Daoqiang; Young, Alastair; Parvin, Bahram (IEEE J. Biomed. Health Informatics, 2015)

Weighted Spectral Cluster Ensemble. - Yousefnezhad, Muhammad; Zhang, Daoqiang (2015)

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. - Liu, Mingxia; Zhang, Daoqiang; Adeli-Mosabbeb, Ehsan; Shen, Dinggang (2015)

Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. - Sun, Liang; Zu, Chen; Zhang, Daoqiang (2015)

Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. - Cheng, Bo; Liu, Mingxia; Zhang, Daoqiang (2015)

Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. - Liu, Mingxia; Zhang, Daoqiang; Shen, Dinggang (2015)

Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. - Ye, Tingting; Zu, Chen; Jie, Biao; Shen, Dinggang; Zhang, Daoqiang (2015)

Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification. - Fei, Fei; Jie, Biao; Zhang, Daoqiang (Brain Connect., 2014)

Attribute relation learning for zero-shot classification. - Liu, Mingxia; Zhang, Daoqiang; Chen, Songcan (Neurocomputing, 2014)

Sparsity Score: a Novel Graph-Preserving Feature Selection Method. - Liu, Mingxia; Zhang, Daoqiang (Int. J. Pattern Recognit. Artif. Intell., 2014)

A generative probability model of joint label fusion for multi-atlas based brain segmentation. - Wu, Guorong; Wang, Qian; Zhang, Daoqiang; Nie, Feiping; Huang, Heng; Shen, Dinggang (Medical Image Anal., 2014)

Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis. - Liu, Manhua; Zhang, Daoqiang; Shen, Dinggang (Neuroinformatics, 2014)

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. - Jie, Biao; Zhang, Daoqiang; Gao, Wei; Wang, Qian; Wee, Chong-Yaw; Shen, Dinggang (IEEE Trans. Biomed. Eng., 2014)

Two-Stage Cost-Sensitive Learning for Software Defect Prediction. - Liu, Mingxia; Miao, Linsong; Zhang, Daoqiang (IEEE Trans. Reliab., 2014)

Combining Multiple Network Features for Mild Cognitive Impairment Classification. - Wang, Lipeng; Fei, Fei; Jie, Biao; Zhang, Daoqiang (2014)

Brain Connectivity Hyper-Network for MCI Classification. - Jie, Biao; Shen, Dinggang; Zhang, Daoqiang (2014)

Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning. - Hao, Xiaoke; Yu, Jintai; Zhang, Daoqiang (2014)

The New Graph Kernels on Connectivity Networks for Identification of MCI. - Jie, Biao; Jiang, Xi; Zu, Chen; Zhang, Daoqiang (2014)

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. - Zu, Chen; Jie, Biao; Chen, Songcan; Zhang, Daoqiang (2014)

Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. - Fei, Fei; Jie, Biao; Wang, Lipeng; Zhang, Daoqiang (2014)

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. - Shen, Dinggang; Wee, Chong-Yaw; Zhang, Daoqiang; Zhou, Luping; Yap, Pew-Thian (2014)

Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings (Springer, 2014)

Learning mid-perpendicular hyperplane similarity from cannot-link constraints. - Gao, Shan; Zu, Chen; Zhang, Daoqiang (Neurocomputing, 2013)

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers. - Cheng, Bo; Zhang, Daoqiang; Chen, Songcan; Kaufer, Daniel; Shen, Dinggang (Neuroinformatics, 2013)

A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction. - Wang, Fengshan; Zhang, Daoqiang (Neural Process. Lett., 2013)

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. - Shi, Yinghuan; Liao, Shu; Gao, Yaozong; Zhang, Daoqiang; Gao, Yang; Shen, Dinggang (2013)

Integrating Multiple Network Properties for MCI Identification. - Jie, Biao; Zhang, Daoqiang; Suk, Heung-Il; Wee, Chong-Yaw; Shen, Dinggang (2013)

Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease. - Hao, Xiaoke; Zhang, Daoqiang (2013)

Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. - Cheng, Bo; Zhang, Daoqiang; Jie, Biao; Shen, Dinggang (2013)

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. - Jie, Biao; Zhang, Daoqiang; Cheng, Bo; Shen, Dinggang (2013)

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. - Wu, Guorong; Wang, Qian; Liao, Shu; Zhang, Daoqiang; Nie, Feiping; Shen, Dinggang (2013)

Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings (Springer, 2013)

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. - Zhang, Daoqiang; Shen, Dinggang (NeuroImage, 2012)

Identification of MCI individuals using structural and functional connectivity networks. - Wee, Chong-Yaw; Yap, Pew-Thian; Zhang, Daoqiang; Denny, Kevin; Browndyke, Jeffrey N.; Potter, Guy G.; Welsh-Bohmer, Kathleen; Wang, Lihong; Shen, Dinggang (NeuroImage, 2012)

Ensemble sparse classification of Alzheimer's disease. - Liu, Manhua; Zhang, Daoqiang; Shen, Dinggang (NeuroImage, 2012)

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]. - Zhang, Daoqiang; Shen, Dinggang (NeuroImage, 2012)

Sparsity Preserving Canonical Correlation Analysis. - Zu, Chen; Zhang, Daoqiang (2012)

Iterative Laplacian Score for Feature Selection. - Zhu, Linling; Miao, Linsong; Zhang, Daoqiang (2012)

Semi-Supervised Sparse Label Fusion for Multi-atlas Based Segmentation. - Guo, Qimiao; Zhang, Daoqiang (2012)

Sparsity Score: A new filter feature selection method based on graph. - Liu, Mingxia; Sun, Dan; Zhang, Daoqiang (2012)

Cost-sensitive feature selection with application in software defect prediction. - Miao, Linsong; Liu, Mingxia; Zhang, Daoqiang (2012)

Learning Attribute Relation in Attribute-Based Zero-Shot Classification. - Liu, Mingxia; Chen, Songcan; Zhang, Daoqiang (2012)

Transductive Prostate Segmentation for CT Image Guided Radiotherapy. - Shi, Yinghuan; Liao, Shu; Gao, Yaozong; Zhang, Daoqiang; Gao, Yang; Shen, Dinggang (2012)

Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. - Liu, Manhua; Zhang, Daoqiang; Yap, Pew-Thian; Shen, Dinggang (2012)

Group Sparsity Constrained Automatic Brain Label Propagation. - Liao, Shu; Zhang, Daoqiang; Yap, Pew-Thian; Wu, Guorong; Shen, Dinggang (2012)

Domain Transfer Learning for MCI Conversion Prediction. - Cheng, Bo; Zhang, Daoqiang; Shen, Dinggang (2012)

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. - Zhang, Daoqiang; Guo, Qimiao; Wu, Guorong; Shen, Dinggang (2012)

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. - Jie, Biao; Zhang, Daoqiang; Wee, Chong-Yaw; Shen, Dinggang (2012)

Constrained Sparse Functional Connectivity Networks for MCI Classification. - Wee, Chong-Yaw; Yap, Pew-Thian; Zhang, Daoqiang; Wang, Lihong; Shen, Dinggang (2012)

Tree-Guided Sparse Coding for Brain Disease Classification. - Liu, Manhua; Zhang, Daoqiang; Yap, Pew-Thian; Shen, Dinggang (2012)

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis. - Zhang, Daoqiang; Liu, Jun; Shen, Dinggang (2012)

Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification. - Chen, Shiguo; Zhang, Daoqiang (IEEE Geosci. Remote. Sens. Lett., 2011)

Multimodal classification of Alzheimer's disease and mild cognitive impairment. - Zhang, Daoqiang; Wang, Yaping; Zhou, Luping; Yuan, Hong; Shen, Dinggang (NeuroImage, 2011)

A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. - Zhang, Jianchun; Zhang, Daoqiang (Pattern Recognit., 2011)

Semi-supervised multimodal classification of alzheimer's disease. - Zhang, Daoqiang; Shen, Dinggang (2011)

Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease. - Zhang, Daoqiang; Shen, Dinggang (2011)

Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. - Cheng, Bo; Zhang, Daoqiang; Chen, Songcan; Shen, Dinggang (2011)

Identification of Individuals with MCI via Multimodality Connectivity Networks. - Wee, Chong-Yaw; Yap, Pew-Thian; Zhang, Daoqiang; Denny, Kevin; Wang, Lihong; Shen, Dinggang (2011)

MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease. - Zhang, Daoqiang; Shen, Dinggang (2011)

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. - Zhang, Daoqiang; Wu, Guorong; Jia, Hongjun; Shen, Dinggang (2011)

Locality sensitive C-means clustering algorithms. - Huang, Pengfei; Zhang, Daoqiang (Neurocomputing, 2010)

A New Canonical Correlation Analysis Algorithm with Local Discrimination. - Peng, Yan; Zhang, Daoqiang; Zhang, Jianchun (Neural Process. Lett., 2010)

Semi-supervised clustering with metric learning: An adaptive kernel method. - Yin, Xuesong; Chen, Songcan; Hu, Enliang; Zhang, Daoqiang (Pattern Recognit., 2010)

Bagging Constraint Score for feature selection with pairwise constraints. - Sun, Dan; Zhang, Daoqiang (Pattern Recognit., 2010)

A multiobjective simultaneous learning framework for clustering and classification. - Cai, Weiling; Chen, Songcan; Zhang, Daoqiang (IEEE Trans. Neural Networks, 2010)

Semisupervised Kernel Matrix Learning by Kernel Propagation. - Hu, Enliang; Chen, Songcan; Zhang, Daoqiang; Yin, Xuesong (IEEE Trans. Neural Networks, 2010)

Canonical random correlation analysis. - Zhang, Jianchun; Zhang, Daoqiang (2010)

A New Discriminant Principal Component Analysis Method with Partial Supervision. - Sun, Dan; Zhang, Daoqiang (Neural Process. Lett., 2009)

A simultaneous learning framework for clustering and classification. - Cai, Weiling; Chen, Songcan; Zhang, Daoqiang (Pattern Recognit., 2009)

marginFace: A novel face recognition method by average neighborhood margin maximization. - Wang, Fei; Wang, Xin; Zhang, Daoqiang; Zhang, Changshui; Li, Tao (Pattern Recognit., 2009)

An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space. - Zhang, Daoqiang; Liu, Wanquan (2009)

Constraint Score: A new filter method for feature selection with pairwise constraints. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (Pattern Recognit., 2008)

Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. - Wang, Zhe; Chen, Songcan; Liu, Jun; Zhang, Daoqiang (IEEE Trans. Neural Networks, 2008)

Constraint Projections for Ensemble Learning. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua; Yang, Qiang (2008)

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. - Liu, Jun; Chen, Songcan; Tan, Xiaoyang; Zhang, Daoqiang (Int. J. Pattern Recognit. Artif. Intell., 2007)

Entropy-Inspired Competitive Clustering Algorithms. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (Int. J. Softw. Informatics, 2007)

Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. - Cai, Weiling; Chen, Songcan; Zhang, Daoqiang (Pattern Recognit., 2007)

Robust fuzzy relational classifier incorporating the soft class labels. - Cai, Weiling; Chen, Songcan; Zhang, Daoqiang (Pattern Recognit. Lett., 2007)

Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". - Liu, Jun; Chen, Songcan; Tan, Xiaoyang; Zhang, Daoqiang (IEEE Trans. Neural Networks, 2007)

Two-Dimensional Bayesian Subspace Analysis for Face Recognition. - Zhang, Daoqiang (2007)

Semi-Supervised Dimensionality Reduction. - Zhang, Daoqiang; Zhou, Zhi-Hua; Chen, Songcan (2007)

Learning the kernel parameters in kernel minimum distance classifier. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (Pattern Recognit., 2006)

Diagonal principal component analysis for face recognition. - Zhang, Daoqiang; Zhou, Zhi-Hua; Chen, Songcan (Pattern Recognit., 2006)

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. - Zhang, Daoqiang; Zhou, Zhi-Hua; Chen, Songcan (2006)

Non-negative Matrix Factorization on Kernels. - Zhang, Daoqiang; Zhou, Zhi-Hua; Chen, Songcan (2006)

Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (2006)

A new face recognition method based on SVD perturbation for single example image per person. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (Appl. Math. Comput., 2005)

Fast image compression using matrix K-L transform. - Zhang, Daoqiang; Chen, Songcan (Neurocomputing, 2005)

(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. - Zhang, Daoqiang; Zhou, Zhi-Hua (Neurocomputing, 2005)

Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. - Zhang, Daoqiang; Chen, Songcan; Tan, Keren (Neural Process. Lett., 2005)

Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. - Chen, Songcan; Zhu, Yulian; Zhang, Daoqiang; Yang, Jing-Yu (Pattern Recognit. Lett., 2005)

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (2005)

Representing Image Matrices: Eigenimages Versus Eigenvectors. - Zhang, Daoqiang; Chen, Songcan; Liu, Jun (2005)

A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. - Zhang, Daoqiang; Chen, Songcan (Artif. Intell. Medicine, 2004)

A comment on "Alternative c-means clustering algorithms". - Zhang, Daoqiang; Chen, Songcan (Pattern Recognit., 2004)

Enhanced (PC)2 A for face recognition with one training image per person - Chen, Songcan; Zhang, Daoqiang; Zhou, Zhi-Hua (Pattern Recognit. Lett., 2004)

Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. - Chen, Songcan; Zhang, Daoqiang (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Semi-supervised Kernel-Based Fuzzy C-Means. - Zhang, Daoqiang; Tan, Keren; Chen, Songcan (2004)

Robust Image Denoising Using Kernel-Induced Measures. - Tan, Keren; Chen, Songcan; Zhang, Daoqiang (2004)

Fuzzy-Kernel Learning Vector Quantization. - Zhang, Daoqiang; Chen, Songcan; Zhou, Zhi-Hua (2004)

Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm. - Zhang, Daoqiang; Chen, Songcan (Neural Process. Lett., 2003)