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)

Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28. - 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 001; Gary D. Hutchins; Andrew J. Saykin (NeuroImage, 2010)

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. - Hua Wang 007; Feiping Nie 001; Heng Huang; Shannon L. Risacher; Chris H. Q. Ding; Andrew J. Saykin; Li Shen 001 (ICCV, 2011)

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 AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. - Hua Wang 007; Feiping Nie 001; Heng Huang; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2011)

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. - Jing Wan; Zhilin Zhang 002; Jingwen Yan; Taiyong Li; Bhaskar D. Rao; Shiaofen Fang; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (CVPR, 2012)

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 007; Heng Huang; Andrew J. Saykin; Li Shen 001 (MBIA, 2012)

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. - Hua Wang 007; Feiping Nie 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (NIPS, 2012)

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)

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. - Hua Wang 007; Feiping Nie 001; Heng Huang; 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 large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. - Shashwath A. Meda; Balaji Narayanan 002; Jingyu Liu 001; Nora I. Perrone-Bizzozero; Michael C. Stevens 001; Vince D. Calhoun; David C. Glahn; Li Shen 001; Shannon L. Risacher; Andrew J. Saykin; Godfrey D. Pearlson (NeuroImage, 2012)

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]. - Shashwath A. Meda; Balaji Narayanan 002; Jingyu Liu 001; Nora I. Perrone-Bizzozero; Michael C. Stevens 001; Vince D. Calhoun; David C. Glahn; Li Shen 001; Shannon L. Risacher; Andrew J. Saykin; Godfrey D. Pearlson (NeuroImage, 2012)

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. - De Wang; Feiping Nie 001; Heng Huang; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (IPMI, 2013)

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)

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 001 (MBIA, 2013)

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2014)

Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. - Shan Cong; Maher E. Rizkalla; Eliza Y. Du; John D. West; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MWSCAS, 2014)

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. - Jingwen Yan; Lei Du 001; Sungeun Kim; Shannon L. Risacher; Heng Huang; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2014)

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BIH, 2015)

Integrated Visualization of Human Brain Connectome Data. - 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 001 (BIH, 2015)

Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease. - Shan Cong; Maher E. Rizkalla; Paul Salama; John D. West; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MWSCAS, 2015)

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. - Lei Du 001; Tuo Zhang; Kefei Liu 001; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (BIBM, 2016)

A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. - Mark Inlow; Shan Cong; Shannon L. Risacher; John D. West; Maher E. Rizkalla; Paul Salama; Andrew J. Saykin; Li Shen 001 (MIAR, 2016)

Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. - 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 001 (MWSCAS, 2016)

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 001 (PSB, 2016)

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. - Ailin Song; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Aaron K. Wong; Andrew J. Saykin; Li Shen 001; Casey S. Greene (BioData Min., 2016)

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. - Lei Du 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2016)

Structured sparse CCA for brain imaging genetics via graph OSCAR. - Lei Du 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BMC Syst. Biol., 2016)

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. - Xiaoke Hao; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Daoqiang Zhang; Li Shen 001 (Neuroinformatics, 2016)

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 001 (ICASSP, 2017)

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. - Lei Du 001; Tuo Zhang; Kefei Liu 001; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Junwei Han 001; Lei Guo 002; Li Shen 001 (IPMI, 2017)

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. - Xiaoqian Wang 001; Kefei Liu 001; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (IPMI, 2017)

A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. - Yuming Huang; Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (GRAIL/MFCA/MICGen@MICCAI, 2017)

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)

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. - Xiaoke Hao; Chanxiu Li; Jingwen Yan; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Daoqiang Zhang (Bioinform., 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)

Brain explorer for connectomic analysis. - Huang Li; Shiaofen Fang; Joey A. Contreras; John D. West; Shannon L. Risacher; Yang Wang; Olaf Sporns; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (Brain Informatics, 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)

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (BIBM, 2018)

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. - Kai Liu 018; Hua Wang 007; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (ISBI, 2018)

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. - Lyujian Lu; Hua Wang 007; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (ISBI, 2018)

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. - Jingwen Yan; Kefei Liu 001; Huang Lv; Enrico Amico; Shannon L. Risacher; Yu-Chien Wu; Shiaofen Fang; Olaf Sporns; Andrew J. Saykin; Joaquín Goñi; Li Shen 001 (ISBI, 2018)

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. - Lodewijk Brand; Hua Wang 007; Heng Huang; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MICCAI (1), 2018)

Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes. - Diana O. Svaldi; Joaquín Goñi; Apoorva Bharthur Sanjay; Enrico Amico; Shannon L. Risacher; John D. West; Mario Dzemidzic; Andrew J. Saykin; Liana G. Apostolova (GRAIL/Beyond-MIC@MICCAI, 2018)

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)

Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. - Jingwen Yan; Shannon L. Risacher; Li Shen 001; Andrew J. Saykin (Briefings Bioinform., 2018)

A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. - Lei Du 001; Kefei Liu 001; Tuo Zhang; Xiaohui Yao; Jingwen Yan; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 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)

Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (BHI, 2019)

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. - Xiaohui Yao; Shan Cong; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Jason H. Moore; Li Shen 001 (BHI, 2019)

Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (ISBI, 2019)

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (MICCAI (4), 2019)

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. - Lei Du 001; Kefei Liu 001; Lei Zhu 011; Xiaohui Yao; Shannon L. Risacher; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2019)

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. - Xiaoke Hao; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Jintai Yu; Huifu Wang; Lan Tan; Li Shen 001; Daoqiang Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. - Yingxuan Eng; Xiaohui Yao; Kefei Liu 001; Shannon L. Risacher; Andrew J. Saykin; Qi Long; Yize Zhao; Li Shen 001 (AMIA, 2020)

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Lei Guo 002; Andrew J. Saykin; Li Shen 001 (Bioinform., 2020)

Regional imaging genetic enrichment analysis. - Xiaohui Yao; Shan Cong; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Jason H. Moore; Li Shen 001 (Bioinform., 2020)

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)

Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (CoRR, 2020)

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Lei Guo 002; Li Shen 001 (Medical Image Anal., 2020)

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. - Xiaoke Hao; Yongjin Bao; Yingchun Guo; Ming Yu 006; Daoqiang Zhang; Shannon L. Risacher; Andrew J. Saykin; Xiaohui Yao; Li Shen 001 (Medical Image Anal., 2020)

Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. - Bo Peng 009; Xiaohui Yao; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Xia Ning (BMC Medical Informatics Decis. Mak., 2020)

Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. - Lei Du 001; Fang Liu; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Li Shen 001 (IEEE Trans. Medical Imaging, 2020)

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 Fusion of Brain Structure-Function in Mild Cognitive Impairment. - Lu Zhang 050; Li Wang 033; Jean Gao; Shannon L. Risacher; Jingwen Yan; Gang Li 001; Tianming Liu 001; Dajiang Zhu (Medical Image Anal., 2021)

Tau-related white-matter alterations along spatially selective pathways. - Qiuting Wen; Shannon L. Risacher; Linhui Xie; Junjie Li 003; Jaroslaw Harezlak; Martin R. Farlow; Frederick W. Unverzagt; Sujuan Gao; Liana G. Apostolova; Andrew J. Saykin; Yu-Chien Wu (NeuroImage, 2021)

Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. - Lei Du 001; Kefei Liu 001; Xiaohui Yao; Shannon L. Risacher; Junwei Han 001; Andrew J. Saykin; Lei Guo 002; Li Shen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. - Zixuan Wen; Jingxuan Bao; Shu Yang 009; Shannon L. Risacher; Andrew J. Saykin; Paul M. Thompson; Christos Davatzikos; Heng Huang; Yize Zhao; Li Shen 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

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)

Learning the Irreversible Progression Trajectory of Alzheimer's Disease. - Yipei Wang; Bing He; Shannon L. Risacher; Andrew J. Saykin; Jingwen Yan; Xiaoqian Wang 001 (ISBI, 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)