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ORCIDJung Hun Oh
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2020 – today
- 2024
[j20]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): 916-927 (2024)- 2023
- [j19]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: 107117 (2023) - [i2]Jung Hun Oh, Rena Elkin, Anish Kumar Simhal, Jiening Zhu, Joseph O. Deasy, Allen R. Tannenbaum:
Optimal Transport for Kernel Gaussian Mixture Models. CoRR abs/2310.18586 (2023) - 2022
- [j18]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): 1472-1483 (2022) - 2021
- [j17]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) - [j16]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): 443-450 (2021) - 2020
- [j15]Jiening Zhu, Rena Elkin, Jung Hun Oh, Joseph O. Deasy, Allen R. Tannenbaum:
A Vectorial Approach to Unbalanced Optimal Mass Transport. IEEE Access 8: 209224-209231 (2020) - [j14]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: 103731 (2020)
2010 – 2019
- 2019
- [c19]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: 113-124 - [i1]Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen R. Tannenbaum, Joseph O. Deasy:
Kernel Wasserstein Distance. CoRR abs/1905.09314 (2019) - 2018
- [c18]Jie Hao, Youngsoon Kim, Tejaswini Mallavarapu, Jung Hun Oh, Mingon Kang:
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. BIBM 2018: 381-386 - [c17]Tejaswini Mallavarapu, Jie Hao, Youngsoon Kim, Jung Hun Oh, Mingon Kang:
PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes. BIBM 2018: 470-475 - 2017
- [j13]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): 223-239 (2017) - [c16]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: 593 - [c15]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: 1183-1188 - 2016
- [j12]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): 468-478 (2016) - [c14]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: 1302-1306 - [c13]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: 1336-1340 - [c12]MinChul Ju, Jung Hun Oh, Kyu-Sung Hwang:
PSR-based ANC protocol in energy harvesting bidirectional networks. ICUFN 2016: 187-191 - 2014
- [j11]Jung Hun Oh, Joseph O. Deasy:
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm. BMC Bioinform. 15(S-7): S5 (2014) - [j10]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: 136-142 (2014) - 2011
- [j9]Jung Hun Oh, Jean Gao:
Fast Kernel Discriminant Analysis for Classification of Liver Cancer Mass Spectra. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1522-1534 (2011) - [c11]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: 223-228 - 2010
- [c10]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: 735-739
2000 – 2009
- 2009
- [j8]Jung Hun Oh, Jean Gao:
A kernel-based approach for detecting outliers of high-dimensional biological data. BMC Bioinform. 10(S-4) (2009) - [j7]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): 33-41 (2009) - [j6]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): 195-206 (2009) - [c9]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: 478-483 - [c8]Jung Hun Oh, Issam El-Naqa:
Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. ICMLA 2009: 484-488 - 2008
- [j5]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): 1812-1818 (2008) - [j4]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. 91-C(5): 683-687 (2008) - [c7]Jung Hun Oh, Jean Gao, Kevin P. Rosenblatt:
Biological Data Outlier Detection Based on Kullback-Leibler Divergence. BIBM 2008: 249-254 - 2007
- [c6]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: 464-471 - [c5]Jung Hun Oh, Young Bun Kim, Jean Gao:
A Novel Classification Method for Analysis of Multi-stage Diseases via Mass Spectrometric Data. BIBM 2007: 237-244 - 2006
- [j3]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. 89-C(5): 616-621 (2006) - [j2]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): 1159-1180 (2006) - [c4]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: 332-339 - [c3]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: 1-8 - 2005
- [c2]Jung Hun Oh, Jean Gao:
Peptide Identification by Tandem Mass Spectra: An Efficient Parallel Searching. BIBE 2005: 161-168 - [c1]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: 339-345 - [p2]Young Bun Kim, Jung Hun Oh, Jean Gao:
Emerging Pattern based subspace Clustering of microarray gene expression Data using Mixture Models. Advances in Bioinformatics and Its Applications 2005 - [p1]Jung Hun Oh, Young Bun Kim, Jean Gao:
A two-Way Searching Algorithm for de novo peptide sequencing via tandem mass spectrometry. Advances in Bioinformatics and Its Applications 2005 - 2004
- [j1]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): 973-983 (2004)
Coauthor Index
aka: Jean X. Gao
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