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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq - Qi Zhu; Aizhen Li; Zheng Zhang; Chuhang Zheng; Junyong Zhao; Jin-Xing Liu; Daoqiang Zhang; Wei Shao (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 - Xiaoke Hao; Jingyi Wang; Zilong He; Yingchun Guo; Ming Yu; Feng Liu; Jing Qin; Daoqiang Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

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

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

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

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

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

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

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

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

A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations - Muheng Shang; Yan Yang; Jin Zhang; Daoqiang Zhang; Lei Du (Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2024, Shenzhen, China, November 22-25, 2024, 2024)

Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort - Jin Zhang; Minjianan Zhang; Lei Guo; Daoqiang Zhang; Lei Du (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Localization and Angle Estimation of Capsule Robots in Ultrasound Images Using Spatially Adaptive Gaussian Distribution - Yue Wang; Lingyu Chen; Haojie Han; Daoqiang Zhang; Hongen Liao; Fang Chen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

GPR-SCSANet: Unequal-Length Time Series Normalization with Split-Channel Residual Convolution and Self-Attention for Brain Age Prediction - Fangling Sun; Chuang Liang; Tülay Adali; Daoqiang Zhang; Rongtao Jiang; Vince D. Calhoun; Shile Qi (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images - Wei Shao; Yangyang Shi; Daoqiang Zhang; Junjie Zhou; Peng Wan (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder - Xiaoke Hao; Mingming Ma; Yingchun Guo; Jiawang Li; Jing Qin; Daoqiang Zhang (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification - Qianru Sun; Lianyu Wang; Liying Zhang; Peiliang Gong; Yueying Zhou; Daoqiang Zhang (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

AISA-DG: Automatic Implicit Style-Augmented Domain Generalization on Optic Disc/Cup Segmentation - Lianyu Wang; Dingwei Fan; Meng Wang; Daoqiang Zhang (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis - Peng Wan; Shukang Zhang; Wei Shao; Junyong Zhao; Yinkai Yang; Wentao Kong; Haiyan Xue; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V, 2024)

OSAL-ND: Open-Set Active Learning for Nucleus Detection - Jiao Tang; Yagao Yue; Peng Wan; Mingliang Wang; Daoqiang Zhang; Wei Shao (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV, 2024)

Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound - Xin Tang; Zhi Cao; Weijing Zhang; Di Zhao; Hongen Liao; Daoqiang Zhang; Fang Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I, 2024)

Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation - Lingyu Chen; Yue Wang; Zhe Zhao; Hongen Liao; Daoqiang Zhang; Haojie Han; Fang Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I, 2024)

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI - Yunxi Zhao; Dong Nie; Geng Chen; Xia Wu; Daoqiang Zhang; Xuyun Wen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI, 2024)

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI - Pengcheng Xue; Dong Nie; Meijiao Zhu; Ming Yang; Han Zhang; Daoqiang Zhang; Xuyun Wen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI, 2024)

Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning - Yangyang Shi; Qi Zhu; Yingli Zuo; Peng Wan; Daoqiang Zhang; Wei Shao (Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation - Yueying Zhou; Pengpai Wang; Peiliang Gong; Fulin Wei; Xuyun Wen; Xia Wu; Daoqiang Zhang (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 - Xin Zhang; Liangxiu Han; Tam Sobeih; Lianghao Han; Nina Dempsey; Symeon Lechareas; Ascanio Tridente; Haoming Chen; Stephen White; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2023)

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

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

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

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

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

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

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

Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS - Peng Wan; Chunrui Liu; Daoqiang Zhang (Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part II, 2023)

TSM: Three-Stream Mix For Unsupervised Medical Image Registration - Zhen Gu; Daoqiang Zhang; Fang Chen; Peng Wan; Lingyu Chen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023, 2023)

PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net - Dongying Yang; Cong Xia; Ge Tian; Daoqiang Zhang; Rongjun Ge (Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part II, 2023)

DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer - Yongqing Kou; Cong Xia; Yiping Jiao; Daoqiang Zhang; Rongjun Ge (Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part II, 2023)

Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection - Lianyu Wang; Meng Wang; Daoqiang Zhang; Huazhu Fu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images - Jianxin Liu; Rongjun Ge; Peng Wan; Qi Zhu; Daoqiang Zhang; Wei Shao (Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023)

A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI - Mengting Yang; Li-Ming Hsu; Shile Qi; Daoqiang Zhang; Xuyun Wen (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen - Chong Wang; Daoqiang Zhang; Rongjun Ge (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII, 2023)

Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound - Zhi Cao; Weijing Zhang; Keke Chen; Di Zhao; Daoqiang Zhang; Hongen Liao; Fang Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI, 2023)

Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis - Kai Ma; Xuyun Wen; Qi Zhu; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V, 2023)

Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness - Haojie Han; Hongen Liao; Daoqiang Zhang; Wentao Kong; Fang Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI, 2023)

Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition - Chuhang Zheng; Wei Shao; Daoqiang Zhang; Qi Zhu (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023)

JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition - Rongjun Ge; Yuting He; Cong Xia; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X, 2023)

Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors - Yawen Wu; Yingli Zuo; Qi Zhu; Jianpeng Sheng; Daoqiang Zhang; Wei Shao (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI, 2023)

Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation - Yili Lin; Dong Nie; Yuting Liu; Ming Yang; Daoqiang Zhang; Xuyun Wen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I, 2023)

ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition - Peiliang Gong; Ziyu Jia; Pengpai Wang; Yueying Zhou; Daoqiang Zhang (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities - Shuo Huang; Liang Sun; Muhammad Yousefnezhad; Meiling Wang; Daoqiang Zhang (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 - Xin Zhang; Liangxiu Han; Wenyong Zhu; Liang Sun; Daoqiang Zhang (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 - Ling Chen; Qixing Feng; Xi Yin; Xiangde Min; Lei Shi; Defu Yang; Yen-Wei Chen; Daoqiang Zhang; Wentao Zhu (IEEE J. Biomed. Health Informatics, 2022)

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

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

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

Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion - Bingliang Xu; Haizhou Ye; Zheng Zhang; Daoqiang Zhang; Qi Zhu (Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II, 2022)

Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging - Zongxiang Pei; Daoqiang Zhang; Wei Shao (IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022, Ioannina, Greece, September 27-30, 2022, 2022)

A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity - Xuyun Wen; Qumei Cao; Daoqiang Zhang (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022, 2022)

TcT: Temporal and channel Transformer for EEG-based Emotion Recognition - Yanling Liu; Yueying Zhou; Daoqiang Zhang (35th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2022, Shenzen, China, July 21-23, 2022, 2022)

Region-Based Dense Adversarial Generation for Medical Image Segmentation - Ao Shen; Liang Sun; Mengting Xu; Daoqiang Zhang (Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part III, 2022)

Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer - Zongxiang Pei; Yingli Zuo; Liang Sun; Meiling Wang; Daoqiang Zhang; Wei Shao (Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part II, 2022)

Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition - Yueying Zhou; Pengpai Wang; Peiliang Gong; Yanling Liu; Xuyun Wen; Xia Wu; Daoqiang Zhang (Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V, 2022)

Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis - Kai Ma; Xuyun Wen; Qi Zhu; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III, 2022)

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors - Yingli Zuo; Yawen Wu; Zixiao Lu; Qi Zhu; Kun Huang; Daoqiang Zhang; Wei Shao (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 2022)

Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary - Yanting Xie; Hongen Liao; Daoqiang Zhang; Fang Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV, 2022)

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction - Rongjun Ge; Yuting He; Cong Xia; Hailong Sun; Yikun Zhang; Dianlin Hu; Sijie Chen; Yang Chen; Shuo Li; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI, 2022)

Learning Projection Views for Sparse-View CT Reconstruction - Liutao Yang; Rongjun Ge; Shichang Feng; Daoqiang Zhang (MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, 2022)

3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts - Yongqing Kou; Rongjun Ge; Daoqiang Zhang (Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, 2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network - Xuyun Wen; Daoqiang Zhang (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021, 2021)

A Consistency Regularization for Certified Robust Neural Networks - Mengting Xu; Tao Zhang; Zhongnian Li; Daoqiang Zhang (Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part II, 2021)

GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces - Pengpai Wang; Yueying Zhou; Zhongnian Li; Daoqiang Zhang (Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part I, 2021)

Image-Based 3D Ultrasound Reconstruction with Optical Flow via Pyramid Warping Network - Yanting Xie; Hongen Liao; Daoqiang Zhang; Lei Zhou; Fang Chen (43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2021)

Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis - Haiyu Zhou; Daoqiang Zhang (2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, 2021)

Fs-Net: Filter Selection Network For Hyperspectral Reconstruction - Liutao Yang; Zhongnian Li; Zongxiang Pei; Daoqiang Zhang (2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, 2021)

A Multilayer Maximum Spanning Tree Kernel For Brain Networks - Xiaoxin Wang; Xuyun Wen; Kai Ma; Daoqiang Zhang (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics - Meiling Wang; Wei Shao; Shuo Huang; Daoqiang Zhang (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Dual-Attention Network for Acute Pancreatitis Lesion Detection with CT Images - Jinyi Zhang; Daoqiang Zhang (Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021, Birmingham, United Kingdom, March 25-26, 2021, 2021)

Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound - Peng Wan; Chunrui Liu; Fang Chen; Jing Qin; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII, 2021)

Sign-aware Perturbations Regression - Zhongnian Li; Tao Zhang; Wei Shao; Songcan Chen; Daoqiang Zhang (Proceedings of the 2021 SIAM International Conference on Data Mining, SDM 2021, Virtual Event, April 29 - May 1, 2021, 2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data - Weida Li; Mingxia Liu; Fang Chen; Daoqiang Zhang (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks - Shuo Huang; Liang Sun; Muhammad Yousefnezhad; Meiling Wang; Daoqiang Zhang (Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V, 2020)

Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures - Zhenxing Xu; Peng Wan; Gulibire Aihemaiti; Daoqiang Zhang (Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I, 2020)

CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism - Peng Wan; Fang Chen; Xiaowei Zhu; Chunrui Liu; Yidan Zhang; Wentao Kong; Daoqiang Zhang (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Unified Brain Network with Functional and Structural Data - Jing Yang; Qi Zhu; Rui Zhang; Jiashuang Huang; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification - Chunxiang Feng; Biao Jie; Xintao Ding; Daoqiang Zhang; Mingxia Liu (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI - Junyi Zhang; Peng Wan; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II, 2020)

MRI Measurement Matrix Learning via Correlation Reweighting - Zhongnian Li; Tao Zhang; Ruoyu Chen; Daoqiang Zhang (MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020, 2020)

Shared Space Transfer Learning for analyzing multi-site fMRI data - Muhammad Yousefnezhad; Alessandro Selvitella; Daoqiang Zhang; Andrew J. Greenshaw; Russell Greiner (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Depth-Adaptive Discriminant Projection with Optimal Transport - Peng Wan; Daoqiang Zhang (Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II, 2020)

Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis - Jiashuang Huang; Xu Li; Mingliang Wang; Daoqiang Zhang (Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II, 2020)

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

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

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

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

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

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

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

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

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

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

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

Reliability-based robust multi-atlas label fusion for brain MRI segmentation - Liang Sun; Chen Zu; Wei Shao; Junye Guang; Daoqiang Zhang; Mingxia Liu (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 - Meiling Wang; Xiaoke Hao; Jiashuang Huang; Wei Shao; Daoqiang Zhang (Bioinform., 2019)

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

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

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

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

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

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

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

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

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction - Zhongnian Li; Tao Zhang; Peng Wan; Daoqiang Zhang (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification - Mingliang Wang; Jiashuang Huang; Mingxia Liu; Daoqiang Zhang (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption - Ruoyu Chen; Zhongnian Li; Daoqiang Zhang (Human Brain and Artificial Intelligence - First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers, 2019)

A New Network Traffic Identification Base on Deep Factorization Machine - Zhenxing Xu; Junyi Zhang; Daoqiang Zhang; Hanyu Wei (Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part II, 2019)

Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia - Huijie Li; Qi Zhu; Rui Zhang; Daoqiang Zhang (Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part II, 2019)

Graph Hyperalignment for Multi-subject fMRI Functional Alignment - Weida Li; Fang Chen; Daoqiang Zhang (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis - Zhengdong Wang; Biao Jie; Weixin Bian; Daoqiang Zhang; Dinggang Shen; Mingxia Liu (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma - Wei Shao; Tongxin Wang; Zhi Huang; Jun Cheng; Zhi Han; Daoqiang Zhang; Kun Huang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images - Junwei Li; Wei Shao; Zhongnian Li; Weida Li; Daoqiang Zhang (Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network - Jiashuang Huang; Luping Zhou; Lei Wang; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Improved Procedures for Training Primal Wasserstein GANs - Tao Zhang; Zhongnian Li; Qi Zhu; Daoqiang Zhang (2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019, Leicester, United Kingdom, August 19-23, 2019, 2019)

Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification - You Jiang; Zhongnian Li; Daoqiang Zhang (2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019, Leicester, United Kingdom, August 19-23, 2019, 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 - An Zeng; Dan Pan; Tianyong Hao; Daoqiang Zhang; Yiyu Shi; Xiaowei Song (Springer, 2019)

Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings - Daoqiang Zhang; Luping Zhou; Biao Jie; Mingxia Liu (Springer, 2019)

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

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

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

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

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

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

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

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

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

Deep active learning for nucleus classification in pathology images - Wei Shao; Liang Sun; Daoqiang Zhang (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease - Chen Zu; Yan Wang; Luping Zhou; Lei Wang; Daoqiang Zhang (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Investor-Imitator: A Framework for Trading Knowledge Extraction - Yi Ding; Weiqing Liu; Jiang Bian; Daoqiang Zhang; Tie-Yan Liu (Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, 2018)

Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net - Liang Sun; Daoqiang Zhang; Li Wang; Wei Shao; Zengsi Chen; Weili Lin; Dinggang Shen; Gang Li (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Dinggang Shen; Mingxia Liu (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer - Wei Shao; Jun Cheng; Liang Sun; Zhi Han; Qianjin Feng; Daoqiang Zhang; Kun Huang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II, 2018)

Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data - Xiaoliang Sheng; Muhammad Yousefnezhad; Tonglin Xu; Ning Yuan; Daoqiang Zhang (Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III, 2018)

Gradient Hyperalignment for Multi-subject fMRI Data Alignment - Tonglin Xu; Muhammad Yousefnezhad; Daoqiang Zhang (PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I, 2018)

Node Based Row-Filter Convolutional Neural Network for Brain Network Classification - Bingcheng Mao; Jiashuang Huang; Daoqiang Zhang (PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part I, 2018)

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

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

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

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

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

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

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

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

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

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

Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment - Muhammad Yousefnezhad; Daoqiang Zhang (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation - Liang Sun; Wei Shao; Daoqiang Zhang (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease - Mingliang Wang; Xiaoke Hao; Jiashuang Huang; Kangcheng Wang; Xijia Xu; Daoqiang Zhang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

Deep Hyperalignment - Muhammad Yousefnezhad; Daoqiang Zhang (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

Margin Distribution Logistic Machine - Yi Ding; Sheng-Jun Huang; Chen Zu; Daoqiang Zhang (Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017, 2017)

Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains - Muhammad Yousefnezhad; Daoqiang Zhang (Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017, 2017)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Sub-network Based Kernels for Brain Network Classification - Biao Jie; Mingxia Liu; Xi Jiang; Daoqiang Zhang (Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2016, Seattle, WA, USA, October 2-5, 2016, 2016)

Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images - Muhammad Yousefnezhad; Daoqiang Zhang (Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings, 2016)

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis - Mingxia Liu; Junqiang Du; Biao Jie; Daoqiang Zhang (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I, 2016)

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph - Chen Zu; Yue Gao; Brent C. Munsell; Minjeong Kim; Zi-Wen Peng; Yingying Zhu; Wei Gao; Daoqiang Zhang; Dinggang Shen; Guorong Wu (Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings, 2016)

Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease - Xiaoke Hao; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Daoqiang Zhang; Li Shen (Biocomputing 2016: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 4-8, 2016, 2016)

Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings - Hujun Yin; Yang Gao; Bin Li; Daoqiang Zhang; Ming Yang; Yun Li; Frank Klawonn; Antonio J. Tallón-Ballesteros (Springer, 2016)

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

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

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

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

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

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

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

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

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

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

Weighted Spectral Cluster Ensemble - Muhammad Yousefnezhad; Daoqiang Zhang (2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015, 2015)

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis - Mingxia Liu; Daoqiang Zhang; Ehsan Adeli-Mosabbeb; Dinggang Shen (Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers, 2015)

Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation - Liang Sun; Chen Zu; Daoqiang Zhang (Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers, 2015)

Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease - Bo Cheng; Mingxia Liu; Daoqiang Zhang (Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings, 2015)

Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification - Mingxia Liu; Daoqiang Zhang; Dinggang Shen (Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings, 2015)

Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification - Tingting Ye; Chen Zu; Biao Jie; Dinggang Shen; Daoqiang Zhang (2015 International Workshop on Pattern Recognition in NeuroImaging, Stanford, CA, USA, June 10-12, 2015, 2015)

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

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

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

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

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

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

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

Combining Multiple Network Features for Mild Cognitive Impairment Classification - Lipeng Wang; Fei Fei; Biao Jie; Daoqiang Zhang (2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014, 2014)

Brain Connectivity Hyper-Network for MCI Classification - Biao Jie; Dinggang Shen; Daoqiang Zhang (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II, 2014)

Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning - Xiaoke Hao; Jintai Yu; Daoqiang Zhang (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II, 2014)

The New Graph Kernels on Connectivity Networks for Identification of MCI - Biao Jie; Xi Jiang; Chen Zu; Daoqiang Zhang (Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers, 2014)

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease - Chen Zu; Biao Jie; Songcan Chen; Daoqiang Zhang (Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers, 2014)

Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment - Fei Fei; Biao Jie; Lipeng Wang; Daoqiang Zhang (International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014, Tübingen, Germany, June 4-6, 2014, 2014)

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

Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings - Guorong Wu; Daoqiang Zhang; Luping Zhou (Springer, 2014)

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

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

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

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso - Yinghuan Shi; Shu Liao; Yaozong Gao; Daoqiang Zhang; Yang Gao; Dinggang Shen (2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013, 2013)

Integrating Multiple Network Properties for MCI Identification - Biao Jie; Daoqiang Zhang; Heung-Il Suk; Chong-Yaw Wee; Dinggang Shen (Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings, 2013)

Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease - Xiaoke Hao; Daoqiang Zhang (Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings, 2013)

Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction - Bo Cheng; Daoqiang Zhang; Biao Jie; Dinggang Shen (Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings, 2013)

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease - Biao Jie; Daoqiang Zhang; Bo Cheng; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part I, 2013)

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion - Guorong Wu; Qian Wang; Shu Liao; Daoqiang Zhang; Feiping Nie; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III, 2013)

Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings - Guorong Wu; Daoqiang Zhang; Dinggang Shen; Pingkun Yan; Kenji Suzuki; Fei Wang (Springer, 2013)

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

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

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

Sparsity Preserving Canonical Correlation Analysis - Chen Zu; Daoqiang Zhang (Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings, 2012)

Iterative Laplacian Score for Feature Selection - Linling Zhu; Linsong Miao; Daoqiang Zhang (Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings, 2012)

Semi-Supervised Sparse Label Fusion for Multi-atlas Based Segmentation - Qimiao Guo; Daoqiang Zhang (Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings, 2012)

Sparsity Score: A new filter feature selection method based on graph - Mingxia Liu; Dan Sun; Daoqiang Zhang (Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, 2012)

Cost-sensitive feature selection with application in software defect prediction - Linsong Miao; Mingxia Liu; Daoqiang Zhang (Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, 2012)

Learning Attribute Relation in Attribute-Based Zero-Shot Classification - Mingxia Liu; Songcan Chen; Daoqiang Zhang (Intelligent Science and Intelligent Data Engineering - Third Sino-foreign-interchange Workshop, IScIDE 2012, Nanjing, China, October 15-17, 2012. Revised Selected Papers, 2012)

Transductive Prostate Segmentation for CT Image Guided Radiotherapy - Yinghuan Shi; Shu Liao; Yaozong Gao; Daoqiang Zhang; Yang Gao; Dinggang Shen (Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers, 2012)

Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease - Manhua Liu; Daoqiang Zhang; Pew-Thian Yap; Dinggang Shen (Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers, 2012)

Group Sparsity Constrained Automatic Brain Label Propagation - Shu Liao; Daoqiang Zhang; Pew-Thian Yap; Guorong Wu; Dinggang Shen (Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers, 2012)

Domain Transfer Learning for MCI Conversion Prediction - Bo Cheng; Daoqiang Zhang; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I, 2012)

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation - Daoqiang Zhang; Qimiao Guo; Guorong Wu; Dinggang Shen (Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings, 2012)

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis - Biao Jie; Daoqiang Zhang; Chong-Yaw Wee; Dinggang Shen (Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings, 2012)

Constrained Sparse Functional Connectivity Networks for MCI Classification - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Lihong Wang; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II, 2012)

Tree-Guided Sparse Coding for Brain Disease Classification - Manhua Liu; Daoqiang Zhang; Pew-Thian Yap; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III, 2012)

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis - Daoqiang Zhang; Jun Liu; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III, 2012)

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

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

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

Semi-supervised multimodal classification of alzheimer's disease - Daoqiang Zhang; Dinggang Shen (Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011, March 30 - April 2, 2011, Chicago, Illinois, USA, 2011)

Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease - Daoqiang Zhang; Dinggang Shen (Multimodal Brain Image Analysis, First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings, 2011)

Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression - Bo Cheng; Daoqiang Zhang; Songcan Chen; Dinggang Shen (Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings, 2011)

Identification of Individuals with MCI via Multimodality Connectivity Networks - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Kevin Denny; Lihong Wang; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II, 2011)

MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease - Daoqiang Zhang; Dinggang Shen (Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings, 2011)

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation - Daoqiang Zhang; Guorong Wu; Hongjun Jia; Dinggang Shen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III, 2011)

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

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

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

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

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

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

Canonical random correlation analysis - Jianchun Zhang; Daoqiang Zhang (Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010, 2010)

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

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

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

An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space - Daoqiang Zhang; Wanquan Liu (IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009, 2009)

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

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

Constraint Projections for Ensemble Learning - Daoqiang Zhang; Songcan Chen; Zhi-Hua Zhou; Qiang Yang (Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008)

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

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

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

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

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

Two-Dimensional Bayesian Subspace Analysis for Face Recognition - Daoqiang Zhang (Advances in Neural Networks - ISNN 2007, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part II, 2007)

Semi-Supervised Dimensionality Reduction - Daoqiang Zhang; Zhi-Hua Zhou; Songcan Chen (Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA, 2007)

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

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

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels - Daoqiang Zhang; Zhi-Hua Zhou; Songcan Chen (Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, 2006)

Non-negative Matrix Factorization on Kernels - Daoqiang Zhang; Zhi-Hua Zhou; Songcan Chen (PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings, 2006)

Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns - Daoqiang Zhang; Songcan Chen; Zhi-Hua Zhou (Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings, 2006)

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

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

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

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

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

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition - Daoqiang Zhang; Songcan Chen; Zhi-Hua Zhou (Analysis and Modelling of Faces and Gestures, Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings, 2005)

Representing Image Matrices: Eigenimages Versus Eigenvectors - Daoqiang Zhang; Songcan Chen; Jun Liu (Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II, 2005)

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

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

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

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

Semi-supervised Kernel-Based Fuzzy C-Means - Daoqiang Zhang; Keren Tan; Songcan Chen (Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings, 2004)

Robust Image Denoising Using Kernel-Induced Measures - Keren Tan; Songcan Chen; Daoqiang Zhang (17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, August 23-26, 2004, 2004)

Fuzzy-Kernel Learning Vector Quantization - Daoqiang Zhang; Songcan Chen; Zhi-Hua Zhou (Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I, 2004)

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