Kwangsik Nho

29 papers B 1Misc 2Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
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
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
2021 — conf
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.
MLMI@MICCAI
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
2021 J jnl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.
CoRR
Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl
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
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
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
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
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
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 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 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
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
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 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
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
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
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
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 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
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 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
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
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