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Kwangsik Nho
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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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last updated on 2024-08-14 22:17 CEST by the dblp team
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