A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2014)

Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. - Jingwen Yan; Hui Zhang 006; Lei Du 001; Eric A. Wernert; Andrew J. Saykin; Li Shen 001 (XSEDE, 2014)

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. - Jingwen Yan; Lei Du 001; Sungeun Kim; Shannon L. Risacher; Heng Huang; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2014)

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BIH, 2015)

A Selective Detector Ensemble for Concept Drift Detection. - Lei Du 001; Qinbao Song; Lei Zhu 011; Xiaoyan Zhu 003 (Comput. J., 2015)

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. - Lei Du 001; Tuo Zhang; Kefei Liu 001; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (BIBM, 2016)

Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA. - Xiao Li 024; Lei Du 001; Tuo Zhang; Xintao Hu; Xi Jiang 001; Lei Guo 002; Tianming Liu 001 (MICCAI (1), 2016)

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. - Lei Du 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2016)

Structured sparse CCA for brain imaging genetics via graph OSCAR. - Lei Du 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BMC Syst. Biol., 2016)

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. - Lei Du 001; Tuo Zhang; Kefei Liu 001; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Junwei Han 001; Lei Guo 002; Li Shen 001 (IPMI, 2017)

Predicting cortical 3-hinge locations via structural connective features. - Xiao Li 024; Tuo Zhang; Qinglin Dong; Shu Zhang 001; Xintao Hu; Lei Du 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2017)

A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. - Yuming Huang; Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (GRAIL/MFCA/MICGen@MICCAI, 2017)

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (BIBM, 2018)

A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. - Lei Du 001; Kefei Liu 001; Tuo Zhang; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2018)

Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (ISBI, 2019)

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (MICCAI (4), 2019)

Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. - Zhibin He; Ying Huang 007; Tianming Liu 001; Lei Guo 002; Lei Du 001; Tuo Zhang (MBIA/MFCA@MICCAI, 2019)

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. - Lei Du 001; Kefei Liu 001; Lei Zhu 011; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2019)

Mining High-order Multimodal Brain Image Associations via Sparse Tensor Canonical Correlation Analysis. - Lei Du 001; Jin Zhang 023; Fang Liu; Minjianan Zhang; Huiai Wang; Lei Guo 002; Junwei Han 001 (BIBM, 2020)

Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. - Zhibin He; Shu Zhang 001; Songyao Zhang; Yin Zhang; Xintao Hu; Xi Jiang 001; Lei Guo 002; Tianming Liu 001; Lei Du 001; Tuo Zhang (MLMI@MICCAI, 2020)

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. - Songyao Zhang; Lei Du 001; Jinglei Lv; Zhibin He; Xi Jiang 001; Lei Guo 002; Li Wang 026; Tianming Liu 001; Dinggang Shen; Gang Li 001; Tuo Zhang (MLMI@MICCAI, 2020)

Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. - Tuo Zhang; Zhibin He; Xi Jiang 001; Lei Guo 002; Xiaoping Hu 001; Tianming Liu 001; Lei Du 001 (MICCAI (7), 2020)

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2020)

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Lei Guo 002; Li Shen 001 (Medical Image Anal., 2020)

Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Li Shen 001 (IEEE Trans. Medical Imaging, 2020)

Improved Multi-task SCCA for Brain Imaging Genetics via Joint Consideration of the Diagnosis, Parameter Decomposition and Network Constraints. - Xin Zhang 013; Yipeng Hao; Jin Zhang 023; Shihong Zou; Songyun Xie; Lei Du 001 (BIBM, 2021)

Corrigendum to Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis [Medical Image Analysis 70 (2021) 1-12/102003]. - Lei Du 001; Jin Zhang 023; Fang Liu; Huiai Wang; Lei Guo 002; Junwei Han 001 (Medical Image Anal., 2021)

Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. - Lei Du 001; Jin Zhang 023; Fang Liu; Huiai Wang; Lei Guo 002; Junwei Han 001; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2021)

Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Lei Guo 002; Li Shen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics. - Jin Zhang 023; Muheng Shang; Qiang Xie; Minjianan Zhang; Duo Xi; Lei Guo 002; Junwei Han 001; Lei Du 001 (BIBM, 2022)

Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. - Changhe Li; Jiaxing Gao; Zhibin He; Songyao Zhang; Yaonai Wei; Lei Du 001; Lei Guo 002; Junwei Han 001; Shu Zhang 001; Tuo Zhang (ISBI, 2022)

A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. - Shu Zhang 006; Yanqing Kang; Sigang Yu; Jinru Wu; Enze Shi; Ruoyang Wang; Zhibin He; Lei Du 001; Tuo Zhang (MLMI@MICCAI, 2022)

Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method. - Jin Zhang 023; Huiai Wang; Ying Zhao; Lei Guo 002; Lei Du 001 (BMC Bioinform., 2022)

Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning Method. - Muheng Shang; Yan Yang; Minjianan Zhang; Jin Zhang 023; Duo Xi; Lei Guo 002; Lei Du 001 (BIBM, 2023)

FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction. - Yaonai Wei; Chong Ma; Tianyang Zhong; Lei Du 001; Tuo Zhang; Songyao Zhang; Li Yang; Tianming Liu 001; Han Zhang; Zhibin He; Muheng Shang; Junwei Han 001 (BIBM, 2023)

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. - Yaonai Wei; Tianyang Zhong; Songyao Zhang; Xiao Li 024; Tuo Zhang; Lin Zhao 004; Zhengliang Liu; Muheng Shang; Tianming Liu 001; Han Zhang; Chong Ma; Lei Du 001; et al. (BIBM, 2023)

Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction Learning. - Jin Zhang 023; Qiang Xie; Muheng Shang; Duo Xi; Minjianan Zhang; Lei Guo 002; Lei Du 001 (BIBM, 2023)

Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary Statistics. - Duo Xi; Dingnan Cui; Jin Zhang 023; Muheng Shang; Minjianan Zhang; Lei Guo 002; Junwei Han 001; Lei Du 001 (MICCAI (5), 2023)

Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification. - Lei Du 001; Huiai Wang; Jin Zhang 023; Shu Zhang 001; Lei Guo 002; Junwei Han 001 (Sci. China Inf. Sci., 2023)

A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases. - Xin Zhang 013; Yipeng Hao; Jin Zhang 023; Yanuo Ji; Shihong Zou; Shijie Zhao 001; Songyun Xie; Lei Du 001 (Comput. Methods Programs Biomed., 2023)

inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging Genetics. - Lei Du 001; Jin Zhang 023; Ying Zhao; Muheng Shang; Lei Guo 002; Junwei Han 001 (Genom. Proteom. Bioinform., 2023)

A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations. - Muheng Shang; Yan Yang; Jin Zhang 023; Daoqiang Zhang; Lei Du 001 (BCB, 2024)

Identification of disease-related genetic variants and imaging factors leveraging summary statistics. - Duo Xi; Dingnan Cui; Minjianan Zhang; Jin Zhang 023; Muheng Shang; Lei Guo 002; Lei Du 001; Junwei Han 001 (BIBM, 2024)

A Bayesian Group Sparse Canonical Correlation Analysis Method for Brain Imaging Genomics. - Huiyun Guo; Minjianan Zhang; Lei Du 001 (ISBI, 2024)

Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study. - Jin Zhang 023; Muheng Shang; Yan Yang; Lei Guo 002; Junwei Han 001; Lei Du 001 (MICCAI (3), 2024)

A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics. - Chenglin Yu; Shu Zhang 006; Muheng Shang; Lei Guo 002; Junwei Han 001; Lei Du 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Modeling genotype-protein interaction and correlation for Alzheimer's disease: a multi-omics imaging genetics study. - Jin Zhang 023; Zikang Ma; Yan Yang; Lei Guo 002; Lei Du 001 (Briefings Bioinform., 2024)

Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging Phenotypes. - Lei Du 001; Ying Zhao; Jianting Zhang; Muheng Shang; Jin Zhang 023; Junwei Han 001 (IEEE Trans. Medical Imaging, 2024)