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

A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics. - Jin Zhang; Muheng Shang; Qiang Xie; Minjianan Zhang; Duo Xi; Lei Guo 002; Junwei Han; Lei Du 001 (BIBM, 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; 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; 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; Muheng Shang; Minjianan Zhang; Lei Guo 002; Junwei Han; Lei Du 001 (MICCAI (5), 2023)

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

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