Optimization of sub-0.1-mum offset Gamma-shaped gate MHEMTs for millimeter-wave applications. - Min Han 006; Myung-Sik Son; Jung Hun Oh; Bok-Hyung Lee; Mi-Ra Kim; Sam-Dong Kim; Jin Koo Rhee (Microelectron. J., 2004)

Emerging Pattern based subspace Clustering of microarray gene expression Data using Mixture Models. - Young Bun Kim; Jung Hun Oh; Jean Gao (Advances in Bioinformatics and Its Applications, 2005)

A two-Way Searching Algorithm for de novo peptide sequencing via tandem mass spectrometry. - Jung Hun Oh; Young Bun Kim; Jean Gao (Advances in Bioinformatics and Its Applications, 2005)

Peptide Identification by Tandem Mass Spectra: An Efficient Parallel Searching. - Jung Hun Oh; Jean Gao (BIBE, 2005)

Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDITOF Mass Spectrometry Data. - Jung Hun Oh; Jean Gao; Animesh Nandi; Prem Gurnani; Lynne Knowles; John Schorge; Kevin P. Rosenblatt (CIBCB, 2005)

Prediction of labor for pregnant women using high-resolution mass spectrometry data. - Jung Hun Oh; Animesh Nandi; Prem Gurnani; Peter Bryant-Greenwood; Kevin P. Rosenblatt; Jean Gao (BIBE, 2006)

Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data. - Jung Hun Oh; Animesh Nandi; Prem Gurnani; Lynne Knowles; John Schorge; Kevin P. Rosenblatt; Jean Gao (CIBCB, 2006)

Comparative Study on Breakdown Characteristics for InGaAs Metamorphic High Electron Mobility Transistor and InGaAs/InP-Composite Channel Metamorphic High Electron Mobility Transistor. - Seok Gyu Choi; Jung Hun Oh; Bok-Hyung Lee; Byeong Ok Lim; Sung Woon Moon; Dong-Hoon Shin; Sam-Dong Kim; Jin Koo Rhee (IEICE Trans. Electron., 2006)

Proteomic Biomarker Identification for Diagnosis of Early Relapse in Ovarian Cancer. - Jung Hun Oh; Animesh Nandi; Prem Gurnani; Lynne Knowles; John Schorge; Kevin P. Rosenblatt; Jean X. Gao (J. Bioinform. Comput. Biol., 2006)

Biomarker Selection for Predicting Alzheimer Disease Using High-Resolution MALDI-TOF Data. - Jung Hun Oh; Young Bun Kim; Prem Gurnani; Kevin P. Rosenblatt; Jean Gao (BIBE, 2007)

A Novel Classification Method for Analysis of Multi-stage Diseases via Mass Spectrometric Data. - Jung Hun Oh; Young Bun Kim; Jean Gao (BIBM, 2007)

Biological Data Outlier Detection Based on Kullback-Leibler Divergence. - Jung Hun Oh; Jean Gao; Kevin P. Rosenblatt (BIBM, 2008)

Biomarker selection and sample prediction for multi-category disease on MALDI-TOF data. - Jung Hun Oh; Young Bun Kim; Prem Gurnani; Kevin P. Rosenblatt; Jean X. Gao (Bioinform., 2008)

Studies on Modification of Channel Material and Gate Recess Structures in Metamorphic HEMT for Improvement of Breakdown and RF Characteristics. - Seok Gyu Choi; Young Hyun Baek; Jung Hun Oh; Min Han 006; Seok Ho Bang; Jin Koo Rhee (IEICE Trans. Electron., 2008)

Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients. - Jung Hun Oh; Rawan Al-Lozi; Issam El-Naqa (ICMLA, 2009)

Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. - Jung Hun Oh; Issam El-Naqa (ICMLA, 2009)

A kernel-based approach for detecting outliers of high-dimensional biological data. - Jung Hun Oh; Jean Gao (BMC Bioinform., 2009)

Prostate cancer biomarker discovery using high performance mass spectral serum profiling. - Jung Hun Oh; Yair Lotan; Prem Gurnani; Kevin P. Rosenblatt; Jean Gao (Comput. Methods Programs Biomed., 2009)

An Extended Markov Blanket Approach to Proteomic Biomarker Detection From High-Resolution Mass Spectrometry Data. - Jung Hun Oh; Prem Gurnani; John Schorge; Kevin P. Rosenblatt; Jean X. Gao (IEEE Trans. Inf. Technol. Biomed., 2009)

Predicting Local Failure in Lung Cancer Using Bayesian Networks. - Jung Hun Oh; Jeffrey Craft; Rawan Al-Lozi; Manushka Vaidya; Yifan Meng; Joseph O. Deasy; Jeffrey D. Bradley; Issam El-Naqa (ICMLA, 2010)

Design and Implementation of a Remote Control for IPTV with Sensors. - Jae Ha Song; Woo Yeol Kim; Hyun Seung Son; Junbeom Yoo; Jae Seung Kim; Robert Young Chul Kim; Jung Hun Oh (FGIT, 2011)

Fast Kernel Discriminant Analysis for Classification of Liver Cancer Mass Spectra. - Jung Hun Oh; Jean Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm. - Jung Hun Oh; Joseph O. Deasy (BMC Bioinform., 2014)

SITDEM: A simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypes. - Jung Hun Oh; Joseph O. Deasy (Comput. Biol. Medicine, 2014)

Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature. - Yongxin Chen; Jung Hun Oh; Romeil Sandhu; Sangkyu Lee; Joseph O. Deasy; Allen R. Tannenbaum (BIBM, 2016)

Integrative Gene Regulatory Network inference using multi-omics data. - Neda Zarayeneh; Jung Hun Oh; Donghyun Kim 001; Chunyu Liu 001; Jean Gao; Sang C. Suh; Mingon Kang (BIBM, 2016)

PSR-based ANC protocol in energy harvesting bidirectional networks. - MinChul Ju; Jung Hun Oh; Kyu-Sung Hwang (ICUFN, 2016)

A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer. - Jung Hun Oh; Joseph O. Deasy (Briefings Bioinform., 2016)

Preconditioned Random Forest Regression: Application to Genome-Wide Study for Radiotherapy Toxicity Prediction. - Sangkyu Lee; Sarah Kerns; Barry Rosenstein; Harry Ostrer; Joseph O. Deasy; Jung Hun Oh (BCB, 2017)

R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine. - Tejaswini Mallavarapu; Youngsoon Kim; Jung Hun Oh; Mingon Kang (BIBM, 2017)

Integration of multi-omics data for integrative gene regulatory network inference. - Neda Zarayeneh; Euiseong Ko; Jung Hun Oh; Sang C. Suh; Chunyu Liu 001; Jean Gao; Donghyun Kim 001; Mingon Kang (Int. J. Data Min. Bioinform., 2017)

Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. - Jie Hao; Youngsoon Kim; Tejaswini Mallavarapu; Jung Hun Oh; Mingon Kang (BIBM, 2018)

PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes. - Tejaswini Mallavarapu; Jie Hao; Youngsoon Kim; Jung Hun Oh; Mingon Kang (BIBM, 2018)

Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. - Jie Hao; Mohammad Masum; Jung Hun Oh; Mingon Kang (ISBRA, 2019)

Kernel Wasserstein Distance. - Jung Hun Oh; Maryam Pouryahya; Aditi Iyer; Aditya P. Apte; Allen R. Tannenbaum; Joseph O. Deasy (CoRR, 2019)

A Vectorial Approach to Unbalanced Optimal Mass Transport. - Jiening Zhu; Rena Elkin; Jung Hun Oh; Joseph O. Deasy; Allen R. Tannenbaum (IEEE Access, 2020)

A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography. - Jung Hun Oh; Maryam Pouryahya; Aditi Iyer; Aditya P. Apte; Joseph O. Deasy; Allen R. Tannenbaum (Comput. Biol. Medicine, 2020)

PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. - Jung Hun Oh; Wookjin Choi; Euiseong Ko; Mingon Kang; Allen R. Tannenbaum; Joseph O. Deasy (Bioinform., 2021)

Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning. - Kyoung Sik Park; Seong Hoon Kim; Jung Hun Oh; Sung Young Kim (Briefings Bioinform., 2021)

aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data. - Maryam Pouryahya; Jung Hun Oh; Pedram Javanmard; James C. Mathews; Zehor Belkhatir; Joseph O. Deasy; Allen R. Tannenbaum (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Optimal Transport for Kernel Gaussian Mixture Models. - Jung Hun Oh; Rena Elkin; Anish Kumar Simhal; Jiening Zhu; Joseph O. Deasy; Allen R. Tannenbaum (CoRR, 2023)

Geometric graph neural networks on multi-omics data to predict cancer survival outcomes. - Jiening Zhu; Jung Hun Oh; Anish K. Simhal; Rena Elkin; Larry Norton; Joseph O. Deasy; Allen R. Tannenbaum (Comput. Biol. Medicine, 2023)

Wasserstein HOG: Local Directionality Extraction via Optimal Transport. - Jiening Zhu; Harini Veeraraghavan; Jue Jiang; Jung Hun Oh; Larry Norton; Joseph O. Deasy; Allen R. Tannenbaum (IEEE Trans. Medical Imaging, 2024)