Jung Hun Oh

Orcid: 0000-0001-8791-2755

According to our database1, Jung Hun Oh authored at least 43 papers between 2004 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Wasserstein HOG: Local Directionality Extraction via Optimal Transport.
IEEE Trans. Medical Imaging, March, 2024

2023
Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.
Comput. Biol. Medicine, September, 2023

Optimal Transport for Kernel Gaussian Mixture Models.
CoRR, 2023

2022
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning.
Briefings Bioinform., July, 2021

PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma.
Bioinform., 2021

2020
A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography.
Comput. Biol. Medicine, 2020

A Vectorial Approach to Unbalanced Optimal Mass Transport.
IEEE Access, 2020

2019
Kernel Wasserstein Distance.
CoRR, 2019

Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes.
Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

2018
PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Integration of multi-omics data for integrative gene regulatory network inference.
Int. J. Data Min. Bioinform., 2017

R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Preconditioned Random Forest Regression: Application to Genome-Wide Study for Radiotherapy Toxicity Prediction.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer.
Briefings Bioinform., 2016

PSR-based ANC protocol in energy harvesting bidirectional networks.
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016

Integrative Gene Regulatory Network inference using multi-omics data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014
SITDEM: A simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypes.
Comput. Biol. Medicine, 2014

Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm.
BMC Bioinform., 2014

2011
Fast Kernel Discriminant Analysis for Classification of Liver Cancer Mass Spectra.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Design and Implementation of a Remote Control for IPTV with Sensors.
Proceedings of the Future Generation Information Technology, 2011

2010
Predicting Local Failure in Lung Cancer Using Bayesian Networks.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
An Extended Markov Blanket Approach to Proteomic Biomarker Detection From High-Resolution Mass Spectrometry Data.
IEEE Trans. Inf. Technol. Biomed., 2009

Prostate cancer biomarker discovery using high performance mass spectral serum profiling.
Comput. Methods Programs Biomed., 2009

A kernel-based approach for detecting outliers of high-dimensional biological data.
BMC Bioinform., 2009

Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Studies on Modification of Channel Material and Gate Recess Structures in Metamorphic HEMT for Improvement of Breakdown and RF Characteristics.
IEICE Trans. Electron., 2008

Biomarker selection and sample prediction for multi-category disease on MALDI-TOF data.
Bioinform., 2008

Biological Data Outlier Detection Based on Kullback-Leibler Divergence.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
A Novel Classification Method for Analysis of Multi-stage Diseases via Mass Spectrometric Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

Biomarker Selection for Predicting Alzheimer Disease Using High-Resolution MALDI-TOF Data.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Proteomic Biomarker Identification for Diagnosis of Early Relapse in Ovarian Cancer.
J. Bioinform. Comput. Biol., 2006

Comparative Study on Breakdown Characteristics for InGaAs Metamorphic High Electron Mobility Transistor and InGaAs/InP-Composite Channel Metamorphic High Electron Mobility Transistor.
IEICE Trans. Electron., 2006

Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

Prediction of labor for pregnant women using high-resolution mass spectrometry data.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005
Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDITOF Mass Spectrometry Data.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Peptide Identification by Tandem Mass Spectra: An Efficient Parallel Searching.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

A two-Way Searching Algorithm for de novo peptide sequencing via tandem mass spectrometry.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005

Emerging Pattern based subspace Clustering of microarray gene expression Data using Mixture Models.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005

2004
Optimization of sub-0.1-mum offset Gamma-shaped gate MHEMTs for millimeter-wave applications.
Microelectron. J., 2004


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