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)

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)

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)

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)

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)

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)

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)