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A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics.

, , , , , , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 210-219. Springer, (2017)

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Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction., , , , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 611-618. Springer, (2010)Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease., , , and . GPTP, page 31-45. Springer, (2013)Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM., , , , , , and . MWSCAS, page 813-816. IEEE, (2014)Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning., , , , , and . ISBI, page 665-668. IEEE, (2014)Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data., , , , , and . XSEDE, page 4:1-4:7. ACM, (2014)Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease., , , , , , , and . Briefings Bioinform., (2021)Two-dimensional enrichment analysis for mining high-level imaging genetic associations., , , , , , , , and . Brain Informatics, 4 (1): 27-37 (2017)Learning the irreversible progression trajectory of Alzheimer's disease., , , , , and . CoRR, (2024)Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease., , , , , , , , , and 2 other author(s). BIBM, page 541-548. IEEE, (2022)A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)., , , , , , , and . MBIA, volume 8159 of Lecture Notes in Computer Science, page 159-169. Springer, (2013)