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2020 – today
- 2024
[j13]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)- [c13]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 - 2022
- [j12]Taeho Jo, Kwangsik Nho, Paula Bice, Andrew J. Saykin:
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification. Briefings Bioinform. 23(2) (2022) - 2021
- [j11]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) - [c12]Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. MLMI@MICCAI 2021: 624-633 - [i2]Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. CoRR abs/2108.05916 (2021) - 2020
- [j10]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) - [j9]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:
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. Int. J. Comput. Biol. Drug Des. 13(1): 58-70 (2020)
2010 – 2019
- 2019
- [c11]Yurika Upadhyaya, Linhui Xie, Paul Salama, Kwangsik Nho, Andrew J. Saykin, Jingwen Yan:
Disruption of gene co-expression network along the progression of Alzheimer's disease. BHI 2019: 1-4 - [i1]Taeho Jo, Kwangsik Nho, Andrew J. Saykin:
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. CoRR abs/1905.00931 (2019) - 2018
- [j8]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) - [j7]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) - [c10]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
- [j6]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) - [j5]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) - [j4]Dokyoon Kim, Anna Okula Basile, Lisa Bang, Emrin Horgusluoglu, SeungGeun Lee, Marylyn D. Ritchie, Andrew J. Saykin, Kwangsik Nho:
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease. BMC Medical Informatics Decis. Mak. 17(S-1): 61:1-61:7 (2017) - [c9]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 - [c8]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 - [c7]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 - 2015
- [c6]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 - 2013
- [c5]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 - [c4]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 - 2012
- [j3]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) - [j2]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) - 2011
- [c3]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 - [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
- [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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