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Author Details
Full Name
Kefei Liu
Affiliation
Suzhou Institute for Advanced Research, University of Science and Technology of China
ORCID
Career Start Year
2016
Papers
25
H Index
10
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37507059
Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease.
Methods
2023
34871929
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Med Image Anal
2022
36845995
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
Proceedings (IEEE Int Conf Bioinformatics Biomed)
2022
36175853
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.
BMC Bioinformatics
2022
31634139
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE/ACM Trans Comput Biol Bioinform
2021
33848962
A structural enriched functional network: An application to predict brain cognitive performance.
Med Image Anal
2021
33936415
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
AMIA Annu Symp Proc
2021
32657360
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinformatics
2020
33654579
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.
Proc IEEE Int Symp Bioinformatics Bioeng
2020
34766171
Structural Connectivity Enriched Functional Brain Network using Simplex Regression with GraphNet.
Mach Learn Med Imaging
2020
32062154
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Med Image Anal
2020
32746095
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans Med Imaging
2020
31510645
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinformatics
2019
31844486
DIAGNOSIS STATUS GUIDED BRAIN IMAGING GENETICS VIA INTEGRATED REGRESSION AND SPARSE CANONICAL CORRELATION ANALYSIS.
Proc IEEE Int Symp Biomed Imaging
2019
31787074
Joint between-sample normalization and differential expression detection through â¿¿<sub>0</sub>-regularized regression.
BMC Bioinformatics
2019
29993952
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE/ACM Trans Comput Biol Bioinform
2019
28968815
A novel SCCA approach via truncated â¿¿1-norm and truncated group lasso for brain imaging genetics.
Bioinformatics
2018
30881731
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
Proceedings (IEEE Int Conf Bioinformatics Biomed)
2018
30271529
JOINT EXPLORATION AND MINING OF MEMORY-RELEVANT BRAIN ANATOMIC AND CONNECTOMIC PATTERNS VIA A THREE-WAY ASSOCIATION MODEL.
Proc IEEE Int Symp Biomed Imaging
2018
28575147
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinformatics
2017
30294724
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
Graphs Biomed Image Anal Comput Anat Imaging Genet (2017)
2017
28867917
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach.
Inf Process Med Imaging
2017
28848302
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model.
Inf Process Med Imaging
2017
29070790
Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.
Sci Rep
2017
28989812
Sparse Canonical Correlation Analysis via Truncated <i>â¿¿</i><sub>1</sub>-norm with Application to Brain Imaging Genetics.
Proceedings (IEEE Int Conf Bioinformatics Biomed)
2016
1 - 25 of 25
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row(s) 1 - 30 of 30
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Co-authored papers
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Shannon L Risacher
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Jason H Moore
Cedars-Sinai Medical Center
Co-authored papers
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Co-authored papers
2
Kwangsik Nho
Indiana University School of Medicine
Co-authored papers
2
Qi Long
University of Pennsylvania
Co-authored papers
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University of Pittsburgh
Co-authored papers
1
Sungeun Kim
Center for Neuroimaging, Indiana University School of Medicine
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Jieping Ye
University of Michigan ann arbor
Co-authored papers
1
Heng Huang
University of Pittsburgh
Co-authored papers
1
Casey S Greene
Co-authored papers
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Casey S Greene
Dartmouth College Geisel School of Medicine, Princeton University, University of Colorado Anschutz Medical Campus, University of Pennsylvania Perelman School of Medicine
Co-authored papers
1
1 - 15