Kwangsik Nho

Orcid: 0000-0002-7624-3872

According to our database1, Kwangsik Nho authored at least 26 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Fused multi-modal similarity network as prior in guiding brain imaging genetic association.
Frontiers Big Data, 2024

Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2022
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.
Briefings Bioinform., 2022

2021
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.
Briefings Bioinform., 2021

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes.
Int. J. Comput. Biol. Drug Des., 2020

Deep learning detection of informative features in tau PET for Alzheimer's disease classification.
BMC Bioinform., 2020

2019
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data.
CoRR, 2019

Disruption of gene co-expression network along the progression of Alzheimer's disease.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol., 2018

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinform., 2018

Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.
BMC Medical Informatics Decis. Mak., 2017

Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics, 2017

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017

Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

2013
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

2012
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform., 2012

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform., 2012

2011
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

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.
NeuroImage, 2010

Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010


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