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Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.

, , , , , , , , , , , , , , , , и . NeuroImage, 53 (3): 1051-1063 (2010)

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Mark Shannon

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Shannon Colleen Pfohman

 

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Two-dimensional enrichment analysis for mining high-level imaging genetic associations., , , , , , , , и . Brain Informatics, 4 (1): 27-37 (2017)Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction., , , , , , и . MICCAI (3), том 6363 из Lecture Notes in Computer Science, стр. 611-618. Springer, (2010)Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease., , , , , , , и . Briefings Bioinform., (2021)Regional imaging genetic enrichment analysis., , , , , , и . Bioinform., 36 (8): 2554-2560 (2020)Learning the irreversible progression trajectory of Alzheimer's disease., , , , , и . CoRR, (2024)Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM., , , , , , и . MWSCAS, стр. 813-816. IEEE, (2014)Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model., , , , , , , , и . J. Comput. Biol., 25 (7): 809-824 (2018)A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI)., , , , , , , и . MBIA, том 8159 из Lecture Notes in Computer Science, стр. 159-169. Springer, (2013)Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning., , , , , , , , , и . MBIA, том 7509 из Lecture Notes in Computer Science, стр. 1-17. Springer, (2012)Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance., , , , , , и . ICCV, стр. 557-562. IEEE Computer Society, (2011)