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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)

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Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>., , , , and . PSB, page 94-104. (2017)Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker., , , , , , and . PSB, page 365-376. (2018)Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm., , , , , , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 220-229. Springer, (2017)Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease., , , , , , , , and . Medical Image Anal., (2020)Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data, , , and . Briefings in bioinformatics, 19 (6): 1370--1381 (2018)Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model., , , , , , , , , and 1 other author(s). ISBI, page 6-9. IEEE, (2018)Integrated Visualization of Human Brain Connectome Data., , , , , , , , , and 2 other author(s). BIH, volume 9250 of Lecture Notes in Computer Science, page 295-305. Springer, (2015)Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration., , , , , , , , , and . MWSCAS, page 1-4. IEEE, (2016)A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics., , , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 447-455. Springer, (2019)Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method., , , , , , , and . IEEE Trans. Medical Imaging, 39 (11): 3416-3428 (2020)