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Yung‐Kyun Noh

Observed names: Noh, Yung-Kyun, Noh, YungKyun, Yung-Kyun NOH, Yung-Kyun Noh, Yung-kyun Noh, Yungkyun Noh, Yung‑Kyun Noh
Observed institutions: Tokyo Institute of Technology, Korea Institute for Advanced Study, Mayo Clinic, Seoul National University, Korea Advanced Institute of Science and Technology, Kyung Hee University, Kyung Hee University Dental Hospital, Korea University Guro Hospital, Hanyang University, University of Pennsylvania
ORCID: 0000-0002-6372-9267
Observed ORCID: 0000-0002-6372-9267
OpenAlex ID: A5021287644
Transfer learning for automated optical inspection
2017 · Seunghyeon Kim, Wooyoung Kim, et al. · 101
Age-group determination of living individuals using first molar images based on artificial intelligence
2021 · Seunghyeon Kim, Yeon-Hee Lee, et al. · Scientific Reports · 99
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Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks
2019 · Byoung Geol Choi, Seung-Woon Rha, et al. · Yonsei Medical Journal · 89
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Generative Local Metric Learning for Nearest Neighbor Classification
2017 · Yung-Kyun Noh, Byoung-Tak Zhang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 82
Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging
2022 · Yeon-Hee Lee, Jong Hyun Won, et al. · Scientific Reports · 60
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Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis
2021 · Kyueng-Whan Min, Dong-Hoon Kim, et al. · Scientific Reports · 42
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Glycolysis in hepatic stellate cells coordinates fibrogenic extracellular vesicle release spatially to amplify liver fibrosis
2024 · Shalil Khanal, Yuanhang Liu, et al. · Science Advances · 41
Hyperuricaemia and development of type 2 diabetes mellitus in Asian population
2017 · Byoung Geol Choi, Dae Jin Kim, et al. · Clinical and Experimental Pharmacology and Physiology · 37
Age group prediction with panoramic radiomorphometric parameters using machine learning algorithms
2022 · Yeon-Hee Lee, Jong Hyun Won, et al. · Scientific Reports · 34
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Decoding of top-down cognitive processing for SSVEP-controlled BMI
2016 · Byoung-Kyong Min, Sven Dähne, et al. · Scientific Reports · 30
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Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning
2024 · Yeon-Hee Lee, Jong Hyun Won, et al. · Scientific Reports · 28
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Motion planning with movement primitives for cooperative aerial transportation in obstacle environment
2017 · Hyoin Kim, Hyeonbeom Lee, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 27
DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function
2023 · Jae-Won Lee, Jong-Hyun Won, et al. · Bioinformatics · 26
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A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization
2019 · Yung-Kyun Noh, Ji Young Park, et al. · Journal of Medical Systems · 25
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
2018 · Yung-Kyun Noh, Masashi Sugiyama, et al. · Neural Computation · 25
Association of inflammation, myocardial fibrosis and cardiac remodelling in patients with mild aortic stenosis as assessed by biomarkers and echocardiography
2014 · Ji Young Park, Sung Kee Ryu, et al. · Clinical and Experimental Pharmacology and Physiology · 24
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Impact of low dose atorvastatin on development of new-onset diabetes mellitus in Asian population: Three-year clinical outcomes
2015 · Ji Young Park, Seung-Woon Rha, et al. · International Journal of Cardiology · 23
Efficient neural network compression via transfer learning for machine vision inspection
2020 · Seunghyeon Kim, Yung-Kyun Noh, et al. · Neurocomputing · 21
High DKK3 expression related to immunosuppression was associated with poor prognosis in glioblastoma: machine learning approach
2022 · Myung-Hoon Han, Kyueng-Whan Min, et al. · Cancer Immunology Immunotherapy · 19
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Glycogen synthase kinase 3 activity enhances liver inflammation in MASH
2024 · Mireille Khoury, Qianqian Guo, et al. · JHEP Reports · 17
Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes
2022 · Joseph C. Ahn, Yung-Kyun Noh, et al. · Mayo Clinic Proceedings · 17
Autoencoding Under Normalization Constraints
2021 · Yoon, Sangwoong, Noh, Yung-Kyun, et al. · arXiv (Cornell University) · 17
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Direct Density Derivative Estimation
2016 · Hiroaki Sasaki, Yung-Kyun Noh, et al. · Neural Computation · 16
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
2014 · Sasaki, Hiroaki, Noh, Yung-Kyun, et al. · arXiv (Cornell University) · 12
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Automatic detection and visualization of temporomandibular joint effusion with deep neural network
2024 · Yeon-Hee Lee, Seonggwang Jeon, et al. · Scientific Reports · 11
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Works count: 98
Citation count: 1,114
H-index: 19
I10-index: 29
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