Junhyug Noh*, Kyung Don Yoo*, Wonho Bae, …, and Jung Pyo Lee, Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea, Scientific Reports, 2020. (*: Equal contribution)
Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo and Gunhee Kim, Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection, ICCV 2019.
Kangil Kim, Dong-Kyun Kim, Junhyug Noh, and Minhyeok Kim, Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network, IEEE Access, 2018.
Kangil Kim, Junhyug Noh, Dong-Kyun Kim, and Minhyeok Kim, Conflict Relaxation of Activation-Based Regularization for Neural Network, IEEE Access, 2018.
Junhyug Noh, Soochan Lee, Beomsu Kim, and Gunhee Kim, Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors, CVPR 2018.
Junhyug Noh*, Kyung Don Yoo*, Hajeong Lee, …, and Yon Su Kim, A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study, Scientific Reports, 2017. (*: Equal contribution)