Lei Du - RankMe

57 papers Journal 24Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Trustworthy Multi-View Representation With Fine-Grained Explainability Embeddings. IEEE Trans. Medical Imaging Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du
2025	—	`conf`	A Data-Driven Brain Imaging Quantitative Trait Mediation Effect Identification Method for Alzheimer's Disease. BIBM Yan Yang, Muheng Shang, Hongdong Li, Yulin Wang, Lei Du
2025	J	`jnl`	Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning method. Bioinform. Duo Xi, Minjianan Zhang, Muheng Shang, Lei Du, Junwei Han
2025	J	`jnl`	Mutual-assistance learning for trustworthy biomarker discovery and disease prediction. Briefings Bioinform. Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du
2025	—	`conf`	Predicting Brain Age Based on Neuroimaging and DNA Methylation via A Multiomics Attention-Based Variational Autoencoder. BIBM Wenrui Cui, Hong Pang, Yan Yang, Muheng Shang, Hongdong Li, Lei Du
2025	—	`conf`	Predicting MCI Conversion Status Using Baseline Neuroimaging Scans and Genetics Variations. BIBM Yan Yang, Muheng Shang, Ying Wang, Jin Zhang, Hongdong Li, Yulin Wang, Lei Du
2025	J	`jnl`	Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach. Bioinform. Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du, Alzheimer's Disease Neuroimaging Initiative
2024	—	`conf`	A Bayesian Group Sparse Canonical Correlation Analysis Method for Brain Imaging Genomics. ISBI Huiyun Guo, Minjianan Zhang, Lei Du
2024	—	`conf`	A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations. BCB Muheng Shang, Yan Yang, Jin Zhang, Daoqiang Zhang, Lei Du
2024	J	`jnl`	A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. Chenglin Yu, Shu Zhang, Muheng Shang, Lei Guo, Junwei Han, Lei Du
2024	—	`conf`	Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study. MICCAI (3) Jin Zhang, Muheng Shang, Yan Yang, Lei Guo, Junwei Han, Lei Du
2024	—	`conf`	Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort. BIBM Jin Zhang, Minjianan Zhang, Lei Guo, Daoqiang Zhang, Lei Du
2024	J	`jnl`	Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging Phenotypes. IEEE Trans. Medical Imaging Lei Du, Ying Zhao, Jianting Zhang, Muheng Shang, Jin Zhang, Junwei Han
2024	—	`conf`	Identification of disease-related genetic variants and imaging factors leveraging summary statistics. BIBM Duo Xi, Dingnan Cui, Minjianan Zhang, Jin Zhang, Muheng Shang, Lei Guo, Lei Du, Junwei Han
2024	J	`jnl`	Modeling genotype-protein interaction and correlation for Alzheimer's disease: a multi-omics imaging genetics study. Briefings Bioinform. Jin Zhang, Zikang Ma, Yan Yang, Lei Guo, Lei Du
2023	J	`jnl`	A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases. Comput. Methods Programs Biomed. Xin Zhang, Yipeng Hao, Jin Zhang, Yanuo Ji, Shihong Zou, Shijie Zhao, Songyun Xie, Lei Du
2023	J	`jnl`	Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification. Sci. China Inf. Sci. Lei Du, Huiai Wang, Jin Zhang, Shu Zhang, Lei Guo, Junwei Han
2023	—	`conf`	Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. BIBM Yaonai Wei, Tianyang Zhong, Songyao Zhang, Xiao Li, Tuo Zhang, Lin Zhao, Zhengliang Liu, Muheng Shang, Tianming Liu, Han Zhang, Chong Ma, Lei Du, Junwei Han
2023	J	`jnl`	Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. CoRR Yaonai Wei, Tuo Zhang, Han Zhang, Tianyang Zhong, Lin Zhao, Zhengliang Liu, Chong Ma, Songyao Zhang, Muheng Shang, Lei Du, Xiao Li, Tianming Liu, Junwei Han
2023	—	`conf`	FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction. BIBM Yaonai Wei, Chong Ma, Tianyang Zhong, Lei Du, Tuo Zhang, Songyao Zhang, Li Yang, Tianming Liu, Han Zhang, Zhibin He, Muheng Shang, Junwei Han
2023	—	`conf`	Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary Statistics. MICCAI (5) Duo Xi, Dingnan Cui, Jin Zhang, Muheng Shang, Minjianan Zhang, Lei Guo, Junwei Han, Lei Du
2023	—	`conf`	Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning Method. BIBM Muheng Shang, Yan Yang, Minjianan Zhang, Jin Zhang, Duo Xi, Lei Guo, Lei Du
2023	—	`conf`	Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction Learning. BIBM Jin Zhang, Qiang Xie, Muheng Shang, Duo Xi, Minjianan Zhang, Lei Guo, Lei Du
2023	J	`jnl`	inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging Genetics. Genom. Proteom. Bioinform. Lei Du, Jin Zhang, Ying Zhao, Muheng Shang, Lei Guo, Junwei Han
2022	—	`conf`	A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. MLMI@MICCAI Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang
2022	—	`conf`	A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics. BIBM Jin Zhang, Muheng Shang, Qiang Xie, Minjianan Zhang, Duo Xi, Lei Guo, Junwei Han, Lei Du
2022	—	`conf`	Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. ISBI Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang
2022	J	`jnl`	Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method. BMC Bioinform. Jin Zhang, Huiai Wang, Ying Zhao, Lei Guo, Lei Du
2021	J	`jnl`	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]. Medical Image Anal. Lei Du, Jin Zhang, Fang Liu, Huiai Wang, Lei Guo, Junwei Han
2021	J	`jnl`	Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis. Medical Image Anal. Lei Du, Jin Zhang, Fang Liu, Huiai Wang, Lei Guo, Junwei Han, Alzheimer's Disease Neuroimaging Initiative
2021	—	`conf`	Improved Multi-task SCCA for Brain Imaging Genetics via Joint Consideration of the Diagnosis, Parameter Decomposition and Network Constraints. BIBM Xin Zhang, Yipeng Hao, Jin Zhang, Shihong Zou, Songyun Xie, Lei Du
2021	J	`jnl`	Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020	J	`jnl`	Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen
2020	J	`jnl`	Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020	—	`conf`	Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang
2020	J	`jnl`	Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2020	—	`conf`	Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. MLMI@MICCAI Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang
2020	—	`conf`	Mining High-order Multimodal Brain Image Associations via Sparse Tensor Canonical Correlation Analysis. BIBM Lei Du, Jin Zhang, Fang Liu, Minjianan Zhang, Huiai Wang, Lei Guo, Junwei Han
2020	—	`conf`	Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. MICCAI (7) Tuo Zhang, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Lei Du
2019	—	`conf`	A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2019	—	`conf`	Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019	J	`jnl`	Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019	—	`conf`	Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. MBIA/MFCA@MICCAI Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang
2018	J	`jnl`	A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018	—	`conf`	Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2017	—	`conf`	A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2017	—	`conf`	Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
2017	—	`conf`	Predicting cortical 3-hinge locations via structural connective features. ISBI Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu
2016	—	`conf`	Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2016	—	`conf`	Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA. MICCAI (1) Xiao Li, Lei Du, Tuo Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu
2016	J	`jnl`	Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	J	`jnl`	A Selective Detector Ensemble for Concept Drift Detection. Comput. J. Lei Du, Qinbao Song, Lei Zhu, Xiaoyan Zhu
2015	—	`conf`	GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. XSEDE Jingwen Yan, Hui Zhang, Lei Du, Eric A. Wernert, Andrew J. Saykin, Li Shen
2014	J	`jnl`	Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen