Shannon L. Risacher

Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen: Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinformatics 28(2): 229-237 (2012)

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen: Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinformatics 28(12): 127-136 (2012)

Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen: From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinformatics 28(18): 619-625 (2012)

Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson: A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. NeuroImage 60(3): 1608-1621 (2012)

Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson: Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621]. NeuroImage 62(3): 2177 (2012)

Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen: Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. CVPR 2012: 940-947

Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen: Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA 2012: 1-17

Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen: High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS 2012: 1286-1294

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen, Adni: Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562

Li Shen, Sungeun Kim, Yuan Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin: Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA 2011: 27-34

Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen: Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) 2011: 115-123

Jing Wan, Sungeun Kim, Mark Inlow, Kwangsik Nho, Shanker Swaminathan, Shannon L. Risacher, Shiaofen Fang, Michael W. Weiner, Mirza Faisal Beg, Lei Wang, Andrew J. Saykin, Li Shen: Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. MICCAI (2) 2011: 376-383

Li Shen, 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, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Andrew J. Saykin: Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. NeuroImage 53(3): 1051-1063 (2010)

Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin: Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. MICCAI (3) 2010: 611-618