Jung Hun Oh

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 19

Top Topics

Survival Prediction

Ionizing Radiation

Top Venues

Comput. Biol. Medicine

Briefings Bioinform.

Publications

Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
Wasserstein HOG: Local Directionality Extraction via Optimal Transport. IEEE Trans. Medical Imaging 43 (3) (2024)
Jiening Zhu, Jung Hun Oh, Anish K. Simhal, Rena Elkin, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
Geometric graph neural networks on multi-omics data to predict cancer survival outcomes. Comput. Biol. Medicine 163 (2023)
Jung Hun Oh, Rena Elkin, Anish Kumar Simhal, Jiening Zhu, Joseph O. Deasy, Allen R. Tannenbaum
Optimal Transport for Kernel Gaussian Mixture Models. CoRR (2023)
Maryam Pouryahya, Jung Hun Oh, Pedram Javanmard, James C. Mathews, Zehor Belkhatir, Joseph O. Deasy, Allen R. Tannenbaum
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen R. Tannenbaum, Joseph O. Deasy
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. Bioinform. 37 (Supplement) (2021)
Kyoung Sik Park, Seong Hoon Kim, Jung Hun Oh, Sung Young Kim
Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning. Briefings Bioinform. 22 (4) (2021)
Jiening Zhu, Rena Elkin, Jung Hun Oh, Joseph O. Deasy, Allen R. Tannenbaum
A Vectorial Approach to Unbalanced Optimal Mass Transport. IEEE Access 8 (2020)
Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Joseph O. Deasy, Allen R. Tannenbaum
A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography. Comput. Biol. Medicine 120 (2020)
Jie Hao, Mohammad Masum, Jung Hun Oh, Mingon Kang
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. ISBRA (2019)
Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen R. Tannenbaum, Joseph O. Deasy
Kernel Wasserstein Distance. CoRR (2019)
Tejaswini Mallavarapu, Jie Hao, Youngsoon Kim, Jung Hun Oh, Mingon Kang
PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes. BIBM (2018)
Jie Hao, Youngsoon Kim, Tejaswini Mallavarapu, Jung Hun Oh, Mingon Kang
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. BIBM (2018)
Sangkyu Lee, Sarah Kerns, Barry Rosenstein, Harry Ostrer, Joseph O. Deasy, Jung Hun Oh
Preconditioned Random Forest Regression: Application to Genome-Wide Study for Radiotherapy Toxicity Prediction. BCB (2017)
Tejaswini Mallavarapu, Youngsoon Kim, Jung Hun Oh, Mingon Kang
R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine. BIBM (2017)
Neda Zarayeneh, Euiseong Ko, Jung Hun Oh, Sang C. Suh, Chunyu Liu, Jean Gao, Donghyun Kim, Mingon Kang
Integration of multi-omics data for integrative gene regulatory network inference. Int. J. Data Min. Bioinform. 18 (3) (2017)
Jung Hun Oh, Joseph O. Deasy
A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer. Briefings Bioinform. 17 (3) (2016)
Neda Zarayeneh, Jung Hun Oh, Donghyun Kim, Chunyu Liu, Jean Gao, Sang C. Suh, Mingon Kang
Integrative Gene Regulatory Network inference using multi-omics data. BIBM (2016)
Yongxin Chen, Jung Hun Oh, Romeil Sandhu, Sangkyu Lee, Joseph O. Deasy, Allen R. Tannenbaum
Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature. BIBM (2016)
MinChul Ju, Jung Hun Oh, Kyu-Sung Hwang
PSR-based ANC protocol in energy harvesting bidirectional networks. ICUFN (2016)
Jung Hun Oh, Joseph O. Deasy
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm. BMC Bioinform. 15 (S-7) (2014)
Jung Hun Oh, Joseph O. Deasy
SITDEM: A simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypes. Comput. Biol. Medicine 45 (2014)
Jung Hun Oh, Jean Gao
Fast Kernel Discriminant Analysis for Classification of Liver Cancer Mass Spectra. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (6) (2011)
Jae Ha Song, Woo Yeol Kim, Hyun Seung Son, Junbeom Yoo, Jae Seung Kim, Robert Young Chul Kim, Jung Hun Oh
Design and Implementation of a Remote Control for IPTV with Sensors. FGIT (2011)
Jung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa
Predicting Local Failure in Lung Cancer Using Bayesian Networks. ICMLA (2010)
Jung Hun Oh, Issam El-Naqa
Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. ICMLA (2009)
Jung Hun Oh, Prem Gurnani, John Schorge, Kevin P. Rosenblatt, Jean X. Gao
An Extended Markov Blanket Approach to Proteomic Biomarker Detection From High-Resolution Mass Spectrometry Data. IEEE Trans. Inf. Technol. Biomed. 13 (2) (2009)
Jung Hun Oh, Yair Lotan, Prem Gurnani, Kevin P. Rosenblatt, Jean Gao
Prostate cancer biomarker discovery using high performance mass spectral serum profiling. Comput. Methods Programs Biomed. 96 (1) (2009)
Jung Hun Oh, Rawan Al-Lozi, Issam El-Naqa
Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients. ICMLA (2009)
Jung Hun Oh, Jean Gao
A kernel-based approach for detecting outliers of high-dimensional biological data. BMC Bioinform. 10 (S-4) (2009)
Jung Hun Oh, Jean Gao, Kevin P. Rosenblatt
Biological Data Outlier Detection Based on Kullback-Leibler Divergence. BIBM (2008)
Jung Hun Oh, Young Bun Kim, Prem Gurnani, Kevin P. Rosenblatt, Jean X. Gao
Biomarker selection and sample prediction for multi-category disease on MALDI-TOF data. Bioinform. 24 (16) (2008)
Seok Gyu Choi, Young Hyun Baek, Jung Hun Oh, Min Han, Seok Ho Bang, Jin Koo Rhee
Studies on Modification of Channel Material and Gate Recess Structures in Metamorphic HEMT for Improvement of Breakdown and RF Characteristics. IEICE Trans. Electron. (5) (2008)
Jung Hun Oh, Young Bun Kim, Prem Gurnani, Kevin P. Rosenblatt, Jean Gao
Biomarker Selection for Predicting Alzheimer Disease Using High-Resolution MALDI-TOF Data. BIBE (2007)
Jung Hun Oh, Young Bun Kim, Jean Gao
A Novel Classification Method for Analysis of Multi-stage Diseases via Mass Spectrometric Data. BIBM (2007)
Jung Hun Oh, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt, Jean X. Gao
Proteomic Biomarker Identification for Diagnosis of Early Relapse in Ovarian Cancer. J. Bioinform. Comput. Biol. 4 (6) (2006)
Jung Hun Oh, Animesh Nandi, Prem Gurnani, Peter Bryant-Greenwood, Kevin P. Rosenblatt, Jean Gao
Prediction of labor for pregnant women using high-resolution mass spectrometry data. BIBE (2006)
Seok Gyu Choi, Jung Hun Oh, Bok-Hyung Lee, Byeong Ok Lim, Sung Woon Moon, Dong-Hoon Shin, Sam-Dong Kim, Jin Koo Rhee
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. (5) (2006)
Jung Hun Oh, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt, Jean Gao
Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data. CIBCB (2006)
Jung Hun Oh, Jean Gao
Peptide Identification by Tandem Mass Spectra: An Efficient Parallel Searching. BIBE (2005)
Jung Hun Oh, Jean Gao, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt
Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDITOF Mass Spectrometry Data. CIBCB (2005)
Min Han, Myung-Sik Son, Jung Hun Oh, Bok-Hyung Lee, Mi-Ra Kim, Sam-Dong Kim, Jin Koo Rhee
Optimization of sub-0.1-mum offset Gamma-shaped gate MHEMTs for millimeter-wave applications. Microelectron. J. 35 (12) (2004)