Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. - Li Shen 001; Yuan (Alan) Qi; Sungeun Kim; Kwangsik Nho; Jing Wan; Shannon L. Risacher; Andrew J. Saykin (MICCAI (3), 2010)

Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. - Li Shen 001; Sungeun Kim; Shannon L. Risacher; Kwangsik Nho; Shanker Swaminathan; John D. West; Tatiana Foroud; Nathan Pankratz; Jason H. Moore; Chantel D. Sloan; Matthew J. Huentelman; David W. Craig; et al. (NeuroImage, 2010)

Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. - Li Shen 001; Sungeun Kim; Yuan (Alan) Qi; Mark Inlow; Shanker Swaminathan; Kwangsik Nho; Jing Wan; Shannon L. Risacher; Leslie M. Shaw; John Q. Trojanowski; Michael W. Weiner; Andrew J. Saykin (MBIA, 2011)

Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. - Jing Wan; Sungeun Kim; Mark Inlow; Kwangsik Nho; Shanker Swaminathan; Shannon L. Risacher; Shiaofen Fang; Michael W. Weiner; Mirza Faisal Beg; Lei Wang 032; Andrew J. Saykin; Li Shen 001 (MICCAI (2), 2011)

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. - Hua Wang 007; Feiping Nie 001; Heng Huang; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. - Hua Wang 007; Feiping Nie 001; Heng Huang; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). - Dokyoon Kim; Sungeun Kim; Shannon L. Risacher; Li Shen 001; Marylyn D. Ritchie; Michael W. Weiner; Andrew J. Saykin; Kwangsik Nho (MBIA, 2013)

PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. - Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Mark Inlow; Shanker Swaminathan; Karmen K. Yoder; Li Shen 001; John D. West; Brenna C. McDonald; Eileen F. Tallman; Gary D. Hutchins; James W. Fletcher; et al. (MBIA, 2013)

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. - Kefei Liu 001; Xiaohui Yao; Jingwen Yan; Danai Chasioti; Shannon L. Risacher; Kwangsik Nho; Andrew J. Saykin; Li Shen 001 (GRAIL/MFCA/MICGen@MICCAI, 2017)

Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. - Jingwen Yan; Shannon L. Risacher; Kwangsik Nho; Andrew J. Saykin; Li Shen 001 (PSB, 2017)

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (RECOMB, 2017)

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. - Xiaohui Yao; Jingwen Yan; Kefei Liu 001; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Casey S. Greene; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2017)

Two-dimensional enrichment analysis for mining high-level imaging genetic associations. - Xiaohui Yao; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Brain Informatics, 2017)

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. - Dokyoon Kim; Anna Okula Basile; Lisa Bang; Emrin Horgusluoglu; SeungGeun Lee; Marylyn D. Ritchie; Andrew J. Saykin; Kwangsik Nho (BMC Medical Informatics Decis. Mak., 2017)

Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. - Jason E. Miller; Manu K. Shivakumar; Shannon L. Risacher; Andrew J. Saykin; SeungGeun Lee; Kwangsik Nho; Dokyoon Kim (PSB, 2018)

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. - Xiaoqian Wang 001; Hong Chen 004; Jingwen Yan; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (Bioinform., 2018)

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (J. Comput. Biol., 2018)

Disruption of gene co-expression network along the progression of Alzheimer's disease. - Yurika Upadhyaya; Linhui Xie; Paul Salama; Kwangsik Nho; Andrew J. Saykin; Jingwen Yan (BHI, 2019)

Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. - Taeho Jo 002; Kwangsik Nho; Andrew J. Saykin (CoRR, 2019)

Deep learning detection of informative features in tau PET for Alzheimer's disease classification. - Taeho Jo 002; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin (BMC Bioinform., 2020)

Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. - Jingwen Yan; V. Vinesh Raja; Zhi Huang; Enrico Amico; Kwangsik Nho; Shiaofen Fang; Olaf Sporns; Yu-Chien Wu; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (Int. J. Comput. Biol. Drug Des., 2020)

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. - Raphael Ronge; Kwangsik Nho; Christian Wachinger; Sebastian Pölsterl (MLMI@MICCAI, 2021)

Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease. - Linhui Xie; Bing He; Pradeep Varathan; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Paul Salama; Jingwen Yan (Briefings Bioinform., 2021)

Deep learning-based identification of genetic variants: application to Alzheimer's disease classification. - Taeho Jo 002; Kwangsik Nho; Paula Bice; Andrew J. Saykin (Briefings Bioinform., 2022)

Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. - Bing He; Neel Sangani; Ruiming Wu; Pradeep Varathan; Alice Patania; Shannon L. Risacher; Kwangsik Nho; Liana G. Apostolova; Andrew J. Saykin; Li Shen 001; Jingwen Yan (AIME (2), 2024)

Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation. - Pradeep Varathan; Bing He; Linhui Xie; Kwangsik Nho; Andrew J. Saykin; Jingwen Yan (BioData Min., 2024)

Fused multi-modal similarity network as prior in guiding brain imaging genetic association. - Bing He; Linhui Xie; Pradeep Varathan; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Jingwen Yan (Frontiers Big Data, 2024)