Andrew J. Saykin

144 papers A* 4B 4C 2Misc 5Journal 63Unranked 66

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model. BCB Frederick H. Xu, Duy Duong-Tran, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Yize Zhao, Li Shen
2025	J	`jnl`	MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups. IEEE Trans. Comput. Biol. Bioinform. Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2025	—	`conf`	Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW 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	J	`jnl`	Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation. BioData Min. Pradeep Varathan, Bing He, Linhui Xie, Kwangsik Nho, Andrew J. Saykin, Jingwen Yan
2024	J	`jnl`	Fused multi-modal similarity network as prior in guiding brain imaging genetic association. Frontiers Big Data Bing He, Linhui Xie, Pradeep Varathan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan
2024	—	`conf`	Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. AIME (2) 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
2024	J	`jnl`	Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2024	—	`conf`	Learning the Irreversible Progression Trajectory of Alzheimer's Disease. ISBI Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang
2024	J	`jnl`	Learning the irreversible progression trajectory of Alzheimer's disease. CoRR Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang
2023	J	`jnl`	Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
2023	—	`conf`	Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2023	—	`conf`	Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen
2023	J	`jnl`	Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis. Briefings Bioinform. Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long
2023	—	`conf`	Multi-Group Tensor Canonical Correlation Analysis. BCB Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2022	—	`conf`	Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales. BIBM Frederick H. Xu, Sumita Garai, Duy Duong-Tran, Andrew J. Saykin, Yize Zhao, Li Shen
2022	J	`jnl`	Deep learning-based identification of genetic variants: application to Alzheimer's disease classification. Briefings Bioinform. Taeho Jo, Kwangsik Nho, Paula Bice, Andrew J. Saykin
2022	J	`jnl`	Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
2022	—	`conf`	Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
2021	J	`jnl`	A novel deep learning method for predictive modeling of microbiome data. Briefings Bioinform. Ye Wang, Tathagata Bhattacharya, Yuchao Jiang, Xiao Qin, Yue Wang, Yunlong Liu, Andrew J. Saykin, Li Chen
2021	J	`jnl`	Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease. Briefings Bioinform. Linhui Xie, Bing He, Pradeep Varathan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Paul Salama, Jingwen Yan
2021	—	`conf`	Interactive Visualization of Deep Learning for 3D Brain Data Analysis. ICCI*CC Huang Li, Shiaofen Fang, Joaquín Goñi, Andrew J. Saykin, Li Shen
2021	J	`jnl`	Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2021	J	`jnl`	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
2021	J	`jnl`	Tau-related white-matter alterations along spatially selective pathways. NeuroImage Qiuting Wen, Shannon L. Risacher, Linhui Xie, Junjie Li, Jaroslaw Harezlak, Martin R. Farlow, Frederick W. Unverzagt, Sujuan Gao, Liana G. Apostolova, Andrew J. Saykin, Yu-Chien Wu
2021	J	`jnl`	WEVar: a novel statistical learning framework for predicting noncoding regulatory variants. Briefings Bioinform. Ye Wang, Yuchao Jiang, Bing Yao, Kun Huang, Yunlong Liu, Yue Wang, Xiao Qin, Andrew J. Saykin, Li Chen
2020	J	`jnl`	Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen
2020	J	`jnl`	Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. Int. J. Comput. Biol. Drug Des. 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
2020	J	`jnl`	Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. BMC Medical Informatics Decis. Mak. Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020	J	`jnl`	Deep learning detection of informative features in tau PET for Alzheimer's disease classification. BMC Bioinform. Taeho Jo, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin
2020	J	`jnl`	Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020	J	`jnl`	Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2020	J	`jnl`	Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen
2020	J	`jnl`	Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. CoRR Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020	Misc	`conf`	Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen
2020	J	`jnl`	Regional imaging genetic enrichment analysis. Bioinform. Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2019	—	`conf`	A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2019	J	`jnl`	Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. CoRR Taeho Jo, Kwangsik Nho, Andrew J. Saykin
2019	—	`conf`	Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019	—	`conf`	Disruption of gene co-expression network along the progression of Alzheimer's disease. BHI Yurika Upadhyaya, Linhui Xie, Paul Salama, Kwangsik Nho, Andrew J. Saykin, Jingwen Yan
2019	J	`jnl`	Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang
2019	J	`jnl`	Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019	—	`conf`	Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2019	—	`conf`	Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. BHI Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2019	—	`conf`	Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. MBIA/MFCA@MICCAI Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning
2018	J	`jnl`	A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018	Misc	`conf`	Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. PSB Jason E. Miller, Manu K. Shivakumar, Shannon L. Risacher, Andrew J. Saykin, Seunggeun Lee, Kwangsik Nho, Dokyoon Kim
2018	—	`conf`	Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018	J	`jnl`	GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2018	—	`conf`	Heritability Estimation of Reliable Connectomic Features. CNI@MICCAI Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Jingwen Yan, Li Shen
2018	—	`conf`	Interactive Machine Learning by Visualization: A Small Data Solution. IEEE BigData Huang Li, Shiaofen Fang, Snehasis Mukhopadhyay, Andrew J. Saykin, Li Shen
2018	—	`conf`	Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	—	`conf`	Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
2018	J	`jnl`	Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018	—	`conf`	Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. ISBI Kai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. Briefings Bioinform. Jingwen Yan, Shannon L. Risacher, Li Shen, Andrew J. Saykin
2018	—	`conf`	Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018	—	`conf`	Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes. GRAIL/Beyond-MIC@MICCAI Diana O. Svaldi, Joaquín Goñi, Apoorva Bharthur Sanjay, Enrico Amico, Shannon L. Risacher, John D. West, Mario Dzemidzic, Andrew J. Saykin, Liana G. Apostolova
2017	—	`conf`	A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2017	—	`conf`	BECA: A Software Tool for Integrated Visualization of Human Brain Data. BI Huang Li, Shiaofen Fang, Bob Zigon, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
2017	J	`jnl`	Brain explorer for connectomic analysis. Brain Informatics Huang Li, Shiaofen Fang, Joey A. Contreras, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
2017	Misc	`conf`	Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. PSB Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
2017	J	`jnl`	Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang
2017	—	`conf`	Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
2017	J	`jnl`	Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, Seunggeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho
2017	B	`conf`	Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017	Misc	`conf`	Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	—	`conf`	Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017	J	`jnl`	Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	—	`conf`	Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
2017	J	`jnl`	Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	—	`conf`	Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays. NIPS Cesar F. Caiafa, Olaf Sporns, Andrew J. Saykin, Franco Pestilli
2016	—	`conf`	A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. MIAR Mark Inlow, Shan Cong, Shannon L. Risacher, John D. West, Maher E. Rizkalla, Paul Salama, Andrew J. Saykin, Li Shen
2016	—	`conf`	Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. MWSCAS Shan Cong, Maher E. Rizkalla, Paul Salama, Shannon L. Risacher, John D. West, Yu-Chien Wu, Liana G. Apostolova, Eileen F. Tallman, Andrew J. Saykin, Li Shen
2016	Misc	`conf`	Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016	J	`jnl`	Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016	—	`conf`	Multigraph Visualization for Feature Classification of Brain Network Data. EuroVA@EuroVis Jiachen Wang, Shiaofen Fang, Huang Li, Joaquín Goñi, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene
2016	A*	`conf`	New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang
2016	—	`conf`	Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	—	`conf`	GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	—	`conf`	Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang
2015	—	`conf`	Integrated Visualization of Human Brain Connectome Data. BIH Huang Li, Shiaofen Fang, Joaquín Goñi, Joey A. Contreras, Yanhua Liang, Chengtao Cai, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew J. Saykin, Li Shen
2015	J	`jnl`	Partial volume correction in quantitative amyloid imaging. NeuroImage Yi Su, Tyler M. Blazey, Abraham Z. Snyder, Marcus E. Raichle, Daniel S. Marcus, Beau M. Ances, Randall J. Bateman, Nigel J. Cairns, Patricia Aldea, Lisa Cash, Jon J. Christensen, Karl Friedrichsen, Russ C. Hornbeck, Angela M. Farrar, Christopher J. Owen, Richard P. Mayeux, Adam M. Brickman, William E. Klunk, Julie C. Price, Paul M. Thompson, Bernardino Ghetti, Andrew J. Saykin, Reisa A. Sperling, Keith A. Johnson, Peter R. Schofield, Virginia Buckles, John C. Morris, Tammie L. S. Benzinger
2015	—	`conf`	Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease. MWSCAS Shan Cong, Maher E. Rizkalla, Paul Salama, John D. West, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2015	J	`jnl`	The role of visualization and 3-D printing in biological data mining. BioData Min. Talia Weiss, Amanda L. Zieselman, Douglas P. Hill, Solomon Gilbert Diamond, Li Shen, Andrew J. Saykin, Jason H. Moore
2015	—	`conf`	Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. XSEDE Jingwen Yan, Hui Zhang, Lei Du, Eric A. Wernert, Andrew J. Saykin, Li Shen
2014	—	`conf`	Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. MWSCAS Shan Cong, Maher E. Rizkalla, Eliza Y. Du, John D. West, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2014	J	`jnl`	Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore
2014	—	`conf`	Data synthesis and method evaluation for brain imaging genetics. ISBI Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang
2014	J	`jnl`	Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning. IEEE Trans. Medical Imaging Jing Wan, Zhilin Zhang, Bhaskar D. Rao, Shiaofen Fang, Jingwen Yan, Andrew J. Saykin, Li Shen
2014	—	`conf`	Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	J	`jnl`	Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
2013	—	`conf`	A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
2013	—	`conf`	A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen
2013	—	`conf`	Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease. GPTP Jason H. Moore, Douglas P. Hill, Andrew J. Saykin, Li Shen
2013	—	`conf`	Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. MICCAI (2) 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	—	`conf`	Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2013	—	`conf`	PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. MBIA 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	J	`jnl`	Robust estimation of fractal measures for characterizing the structural complexity of the human brain: Optimization and reproducibility. NeuroImage Joaquín Goñi, Olaf Sporns, Hu Cheng, Maite Aznárez-Sanado, Yang Wang, Santiago Josa, Gonzalo Arrondo, Vincent P. Mathews, Tom A. Hummer, William G. Kronenberger, Andrea Avena-Koenigsberger, Andrew J. Saykin, María A. Pastor
2013	—	`conf`	Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. NeuroImage 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
2012	J	`jnl`	Characteristics and variability of structural networks derived from diffusion tensor imaging. NeuroImage Hu Cheng, Yang Wang, Jinhua Sheng, William G. Kronenberger, Vincent P. Mathews, Tom A. Hummer, Andrew J. Saykin
2012	J	`jnl`	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 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
2012	J	`jnl`	From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	—	`conf`	High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	—	`conf`	Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
2012	—	`conf`	Pattern Visualization of Human Connectome Data. EuroVis (Short Papers) Yishi Guo, Yang Wang, Shiaofen Fang, Hongyang Chao, Andrew J. Saykin, Li Shen
2012	A*	`conf`	Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. CVPR Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011	—	`conf`	Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. MICCAI (2) 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
2011	—	`conf`	Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011	—	`conf`	Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA 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	J	`jnl`	Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T. NeuroImage Yang Wang, Andrew J. Saykin, Josef Pfeuffer, Chen Lin, Kristine M. Mosier, Li Shen, Sungeun Kim, Gary D. Hutchins
2011	A*	`conf`	Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
2011	J	`jnl`	Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects. NeuroImage Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Neda Jahanshad, Andrew J. Saykin, Li Shen, Sungeun Kim, Nathan Pankratz, Tatiana Foroud, Matthew J. Huentelman, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Arthur W. Toga, Paul M. Thompson
2010	J	`jnl`	Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28. NeuroImage Karmen K. Yoder, Shannon L. Risacher, Tamiko R. MaGee, Brenna C. McDonald, Qi-Huang Zheng, Min Wang, Bruce H. Mock, John D. West, Li Shen, Gary D. Hutchins, Andrew J. Saykin
2010	—	`conf`	An interactive user interface system for Alzheimer's intervention. PETRA Fillia Makedon, Rong Zhang, Georgios Alexandrakis, Charles B. Owen, Heng Huang, Andrew J. Saykin
2010	J	`jnl`	Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. NeuroImage Jason L. Stein, Xue Hua, Jonathan H. Morra, Suh Lee, Derrek P. Hibar, April J. Ho, Alex D. Leow, Arthur W. Toga, Jae Hoon Sul, Hyun Min Kang, Eleazar Eskin, Andrew J. Saykin, Li Shen, Tatiana Foroud, Nathan Pankratz, Matthew J. Huentelman, David W. Craig, Jill D. Gerber, April N. Allen, Jason J. Corneveaux, Dietrich A. Stephan, Jennifer Webster, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson
2010	—	`conf`	Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. MICCAI (3) Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin
2010	J	`jnl`	Voxelwise genome-wide association study (vGWAS). NeuroImage Jason L. Stein, Xue Hua, Suh Lee, April J. Ho, Alex D. Leow, Arthur W. Toga, Andrew J. Saykin, Li Shen, Tatiana Foroud, Nathan Pankratz, Matthew J. Huentelman, David W. Craig, Jill D. Gerber, April N. Allen, Jason J. Corneveaux, Bryan M. DeChairo, Steven G. Potkin, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative
2010	J	`jnl`	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 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
2009	C	`conf`	Data synthesis and tool development for exploring imaging genomic patterns. CIBCB Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West
2009	J	`jnl`	Fourier method for large-scale surface modeling and registration. Comput. Graph. Li Shen, Sungeun Kim, Andrew J. Saykin
2007	J	`jnl`	A Novel Surface Registration Algorithm With Biomedical Modeling Applications. IEEE Trans. Inf. Technol. Biomed. Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Andrew J. Saykin, Justin D. Pearlman
2007	—	`conf`	Efficient Registration of 3D SPHARM Surfaces. CRV Li Shen, Heng Huang, Fillia Makedon, Andrew J. Saykin
2007	C	`conf`	Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. BIBE Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang
2004	J	`jnl`	A surface-based approach for classification of 3D neuroanatomic structures. Intell. Data Anal. Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin
2004	—	`conf`	Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. MICCAI (2) Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin
2004	B	`conf`	Shape-based discriminative analysis of combined bilateral hippocampi using multiple object alignment. Image Processing Li Shen, Fillia Makedon, Andrew J. Saykin
2003	B	`conf`	A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions. SSDBM Tilmann Steinberg, Yuhang Wang, Fillia Makedon, Li Shen, Andrew J. Saykin, Heather Wishart
2003	B	`conf`	Hippocampal shape analysis: surface-based representation and classification. Image Processing Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin
2003	—	`conf`	Morphometric Analysis of Brain Structures for Improved Discrimination. MICCAI (2) Li Shen, James Ford, Fillia Makedon, Yuhang Wang, Tilmann Steinberg, Song Ye, Andrew J. Saykin
2003	—	`conf`	Patient Classification of fMRI Activation Maps. MICCAI (2) James Ford, Hany Farid, Fillia Makedon, Laura A. Flashman, Thomas W. McAllister, Vasileios Megalooikonomou, Andrew J. Saykin
2003	—	`conf`	Quantifying Evolving Processes in Multimodal 3D Medical Images. MICCAI (2) Yuhang Wang, Tilmann Steinberg, Fillia Makedon, James Ford, Heather Wishart, Andrew J. Saykin
2002	—	`conf`	MetaDL: A Digital Library of Metadata for Sensitive or Complex Research Data. ECDL Fillia Makedon, James Ford, Li Shen, Tilmann Steinberg, Andrew J. Saykin, Heather Wishart, Sarantos Kapidakis
2001	J	`jnl`	Differential Working Memory Load Effects after Mild Traumatic Brain Injury. NeuroImage Thomas W. McAllister, Molly B. Sparling, Laura A. Flashman, Stephen J. Guerin, Alexander Mamourian, Andrew J. Saykin
1998	A*	`conf`	Stimulus Tracking in Functional Magnetic Resonance Imaging (fMRI). ACM Multimedia James Ford, Fillia Makedon, Charles B. Owen, Sterling C. Johnson, Andrew J. Saykin