Shannon L. Risacher
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
8
Active years
2010–2024
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AIME | 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, Jingwen Yan |
| 2023 | MICCAI | Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. | Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen |
| 2020 | AMIA | Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. | Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen |
| 2019 | MICCAI | A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. | Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen |
| 2018 | MICCAI | Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. | Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2018 | MICCAI | Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes. | Diana O. Svaldi, Joaqun Goi, Apoorva Bharthur Sanjay, Enrico Amico, Shannon L. Risacher, John D. West, Mario Dzemidzic, Andrew J. Saykin, Liana G. Apostolova |
| 2018 | PSB | 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 |
| 2017 | ICASSP | Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. | Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2017 | MICCAI | A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. | Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen |
| 2017 | MICCAI | Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. | Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen |
| 2017 | PSB | 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 |
| 2017 | RECOMB | Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. | Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang |
| 2016 | PSB | Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. | Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen |
| 2014 | MICCAI | A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. | Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2013 | MICCAI | 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, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho |
| 2013 | MICCAI | 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, John D. West, Brenna C. McDonald, Eileen F. Tallman, Gary D. Hutchins, James W. Fletcher, Martin R. Farlow, Bernardino Ghetti, Andrew J. Saykin |
| 2013 | MICCAI | Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. | Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2012 | CVPR | Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. | Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2012 | MICCAI | Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. | Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen |
| 2011 | ICCV | Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. | Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen |
| 2011 | MICCAI | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. | Li Shen, 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 |
| 2011 | MICCAI | Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. | Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2011 | MICCAI | 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, Andrew J. Saykin, Li Shen |
| 2010 | MICCAI | Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. | Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin |