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Shannon L. Risacher
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2020 – today
- 2024
- [j34]Bing He, Linhui Xie
, Pradeep Varathan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan:
Fused multi-modal similarity network as prior in guiding brain imaging genetic association. Frontiers Big Data 6 (2024) - [c43]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:
Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. AIME (2) 2024: 204-211 - [i2]Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang:
Learning the irreversible progression trajectory of Alzheimer's disease. CoRR abs/2403.06087 (2024) - 2023
- [c42]Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen:
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 227-240 - 2021
- [j33]Linhui Xie
, Bing He, Pradeep Varathan, Kwangsik Nho, Shannon L. Risacher
, Andrew J. Saykin
, Paul Salama
, Jingwen Yan:
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease. Briefings Bioinform. 22(6) (2021) - [j32]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher
, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu
:
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [j31]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
:
Tau-related white-matter alterations along spatially selective pathways. NeuroImage 226: 117560 (2021) - [j30]Lei Du
, Kefei Liu
, Xiaohui Yao, Shannon L. Risacher
, Junwei Han
, Andrew J. Saykin, Lei Guo, Li Shen
:
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 227-239 (2021) - 2020
- [j29]Xiaohui Yao, Shan Cong, Jingwen Yan
, Shannon L. Risacher
, Andrew J. Saykin, Jason H. Moore, Li Shen
:
Regional imaging genetic enrichment analysis. Bioinform. 36(8): 2554-2560 (2020) - [j28]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher
, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. 36(Supplement-1): i371-i379 (2020) - [j27]Taeho Jo
, Kwangsik Nho, Shannon L. Risacher
, Andrew J. Saykin
:
Deep learning detection of informative features in tau PET for Alzheimer's disease classification. BMC Bioinform. 21-S(21): 496 (2020) - [j26]Xiaoke Hao
, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher
, Andrew J. Saykin, Xiaohui Yao
, Li Shen
:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. 60 (2020) - [j25]Lei Du
, Kefei Liu, Xiaohui Yao
, Shannon L. Risacher
, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
:
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. 61: 101656 (2020) - [j24]Bo Peng, Xiaohui Yao, Shannon L. Risacher
, Andrew J. Saykin, Li Shen, Xia Ning
:
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. BMC Medical Informatics Decis. Mak. 20(1): 319 (2020) - [j23]Lei Du
, Fang Liu, Kefei Liu
, Xiaohui Yao, Shannon L. Risacher
, Junwei Han
, Andrew J. Saykin, Li Shen
:
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging 39(11): 3416-3428 (2020) - [c41]Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen:
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA 2020 - [i1]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. CoRR abs/2002.07699 (2020)
2010 – 2019
- 2019
- [j22]Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher
, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. 35(14): i474-i483 (2019) - [j21]Xiaoke Hao
, Xiaohui Yao, Shannon L. Risacher
, Andrew J. Saykin, Jintai Yu
, Huifu Wang, Lan Tan, Li Shen
, Daoqiang Zhang:
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1986-1996 (2019) - [c40]Bo Peng, Xiaohui Yao, Shannon L. Risacher
, Andrew J. Saykin, Li Shen, Xia Ning:
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. BHI 2019: 1-4 - [c39]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher
, Andrew J. Saykin, Jason H. Moore, Li Shen:
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI 2019: 1-4 - [c38]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher
, Lei Guo, Andrew J. Saykin, Li Shen:
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI 2019: 356-359 - [c37]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher
, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) 2019: 447-455 - 2018
- [j20]Jingwen Yan, Shannon L. Risacher
, Li Shen, Andrew J. Saykin:
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. Briefings Bioinform. 19(6): 1370-1381 (2018) - [j19]Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
:
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. 34(2): 278-285 (2018) - [j18]Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher
, Andrew J. Saykin, Li Shen, Heng Huang:
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. 34(17): i866-i874 (2018) - [j17]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25(7): 809-824 (2018) - [c36]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher
, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM 2018: 356-361 - [c35]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:
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI 2018: 6-9 - [c34]Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher
, Andrew J. Saykin, Li Shen:
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI 2018: 545-548 - [c33]Kai Liu, Hua Wang, Shannon L. Risacher
, Andrew J. Saykin, Li Shen:
Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. ISBI 2018: 1402-1405 - [c32]Diana O. Svaldi
, Joaquín Goñi
, Apoorva Bharthur Sanjay, Enrico Amico
, Shannon L. Risacher
, John D. West, Mario Dzemidzic, Andrew J. Saykin, Liana G. Apostolova:
Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes. GRAIL/Beyond-MIC@MICCAI 2018: 74-82 - [c31]Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher
, Andrew J. Saykin, Li Shen:
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) 2018: 555-562 - [c30]Jason E. Miller, Manu K. Shivakumar, Shannon L. Risacher, Andrew J. Saykin, SeungGeun Lee, Kwangsik Nho, Dokyoon Kim:
Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. PSB 2018: 365-376 - 2017
- [j16]Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen, Daoqiang Zhang:
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33(14): i341-i349 (2017) - [j15]Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
, Casey S. Greene
, Jason H. Moore, Andrew J. Saykin
, Li Shen:
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33(20): 3250-3257 (2017) - [j14]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4(1): 27-37 (2017) - [j13]Huang Li, Shiaofen Fang, Joey A. Contreras, John D. West, Shannon L. Risacher
, Yang Wang, Olaf Sporns
, Andrew J. Saykin, Joaquín Goñi, Li Shen
:
Brain explorer for connectomic analysis. Brain Informatics 4(4): 253-269 (2017) - [c29]Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
, Jason H. Moore, Andrew J. Saykin
, Li Shen:
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP 2017: 6170-6174 - [c28]Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen, Heng Huang:
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI 2017: 198-209 - [c27]Lei Du
, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher
, Andrew J. Saykin
, Junwei Han, Lei Guo, Li Shen:
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI 2017: 543-555 - [c26]Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher
, Lei Guo, Andrew J. Saykin
, Li Shen:
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI 2017: 210-219 - [c25]Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher
, Kwangsik Nho, Andrew J. Saykin
, Li Shen:
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI 2017: 220-229 - [c24]Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen:
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. PSB 2017: 94-104 - [c23]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB 2017: 287-302 - 2016
- [j12]Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
, Aaron K. Wong
, Andrew J. Saykin
, Li Shen
, Casey S. Greene
:
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. 9: 3 (2016) - [j11]Lei Du
, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
, Mark Inlow, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32(10): 1544-1551 (2016) - [j10]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
, Mark Inlow, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10(S-3): 68 (2016) - [j9]Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
, Andrew J. Saykin
, Daoqiang Zhang, Li Shen
:
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics 14(4): 439-452 (2016) - [c22]Lei Du
, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher
, Lei Guo, Andrew J. Saykin
, Li Shen:
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM 2016: 707-711 - [c21]Mark Inlow, Shan Cong, Shannon L. Risacher
, John D. West, Maher E. Rizkalla, Paul Salama
, Andrew J. Saykin
, Li Shen
:
A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. MIAR 2016: 302-310 - [c20]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:
Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. MWSCAS 2016: 1-4 - [c19]Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB 2016: 108-119 - 2015
- [c18]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
, Mark Inlow, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH 2015: 115-124 - [c17]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
, Heng Huang, Mark Inlow, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH 2015: 275-284 - [c16]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
:
Integrated Visualization of Human Brain Connectome Data. BIH 2015: 295-305 - [c15]Shan Cong, Maher E. Rizkalla, Paul Salama
, John D. West, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen
:
Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease. MWSCAS 2015: 1-4 - 2014
- [j8]Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher
, Heng Huang, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30(17): 564-571 (2014) - [c14]Lei Du
, Jingwen Yan, Sungeun Kim, Shannon L. Risacher
, Heng Huang, Mark Inlow, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) 2014: 329-336 - [c13]Shan Cong, Maher E. Rizkalla, Eliza Y. Du, John D. West, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen
:
Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. MWSCAS 2014: 813-816 - 2013
- [c12]De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen
:
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI 2013: 536-547 - [c11]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
:
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. MBIA 2013: 150-158 - [c10]Dokyoon Kim, Sungeun Kim, Shannon L. Risacher
, Li Shen
, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin
, Kwangsik Nho:
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA 2013: 159-169 - [c9]Jingwen Yan, Heng Huang, Shannon L. Risacher
, Sungeun Kim, Mark Inlow, Jason H. Moore
, Andrew J. Saykin
, Li Shen
:
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA 2013: 202-210 - 2012
- [j7]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. Bioinform. 28(2): 229-237 (2012) - [j6]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. Bioinform. 28(12): 127-136 (2012) - [j5]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. Bioinform. 28(18): 619-625 (2012) - [j4]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) - [j3]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) - [c8]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 - [c7]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 - [c6]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 - 2011
- [c5]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin
, Li Shen
:
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562 - [c4]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
:
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA 2011: 27-34 - [c3]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 - [c2]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 - 2010
- [j2]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:
Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28. NeuroImage 52(Supplement-1): S33-S34 (2010) - [j1]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) - [c1]Li Shen
, Yuan (Alan) 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
Coauthor Index
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