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Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models.

, , , , , , , , , , , и . MICCAI (2), том 6892 из Lecture Notes in Computer Science, стр. 376-383. Springer, (2011)

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Andrew J Atkins

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Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data., , , , , и . XSEDE, стр. 4:1-4:7. ACM, (2014)Two-dimensional enrichment analysis for mining high-level imaging genetic associations., , , , , , , , и . Brain Informatics, 4 (1): 27-37 (2017)Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease., , , , , , , и . Briefings Bioinform., (2021)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)Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM., , , , , , и . MWSCAS, стр. 813-816. IEEE, (2014)Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning., , , , , и . ISBI, стр. 665-668. IEEE, (2014)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)Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays., , , и . NIPS, стр. 4340-4351. (2017)Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease., , , и . GPTP, стр. 31-45. Springer, (2013)