Andrew J. Saykin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
12
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. | Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen |
| 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 |
| 2019 | MICCAI | Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. | Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning |
| 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 | MICCAI | Heritability Estimation of Reliable Connectomic Features. | Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaqun Goi, Jingwen Yan, Li Shen |
| 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 | ICDM | New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. | Dijun Luo, Zhouyuan Huo, Yang Wang, 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 |
| 2015 | MICCAI | Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. | Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaqun Goi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang |
| 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 |
| 2014 | MICCAI | Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. | De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang |
| 2013 | MICCAI | Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. | Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson |
| 2013 | MICCAI | A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. | Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, 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 |
| 2009 | CIBCB | Data synthesis and tool development for exploring imaging genomic patterns. | Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West |
| 2007 | BIBE | Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. | Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang |
| 2004 | MICCAI | Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. | Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin |
| 2003 | MICCAI | Patient Classification of fMRI Activation Maps. | James Ford, Hany Farid, Fillia Makedon, Laura A. Flashman, Thomas W. McAllister, Vasileios Megalooikonomou, Andrew J. Saykin |
| 2003 | MICCAI | Morphometric Analysis of Brain Structures for Improved Discrimination. | Li Shen, James Ford, Fillia Makedon, Yuhang Wang, Tilmann Steinberg, Song Ye, Andrew J. Saykin |
| 2003 | MICCAI | Quantifying Evolving Processes in Multimodal 3D Medical Images. | Yuhang Wang, Tilmann Steinberg, Fillia Makedon, James Ford, Heather Wishart, Andrew J. Saykin |
| 2003 | SSDBM | A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions. | Tilmann Steinberg, Yuhang Wang, Fillia Makedon, Li Shen, Andrew J. Saykin, Heather Wishart |