Lei Du

57 papers Journal 24Unranked 33
YearRankTypeTitle / 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