Publications

• Dong Hoon Jang, Ji Won Heo, Kyu Hong Lee, Ro Woon Lee, Tae Ran Ahn, Hyun Gyu Lee, Deep learning-driven ultrasound equipment quality assessment with ATS-539 phantom data, International Journal of Medical Informatics, 193, 2025.

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• Jong Bub Lee, Jung Soo Kim, Hyun Gyu Lee, COVID19 to Pneumonia: Multi Region Lung Severity Classification using CNN Transformer Position-Aware Feature Encoding Network, MICCAI 2024.

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• Dong-hoon Jang, Hyun-Gyu Lee, Banghyun Lee, Sokbom Kang, Jong-Hyeok Kim, Byoung-Gie Kim, Jae-Weon Kim, Moon-Hong Kim, Xiaojun Chen, Jae-Hong No, Jong-Min Lee, Jae-Hoon Kim, Hidemich Watari, Seok Mo Kim, Sung Hoon Kim, Seok Ju Seong, Dae Hoon Jeong, Yun Hwan Kim, Prediction of final pathology depending on preoperative myometrial invasion and grade assessment in low-risk endometrial cancer patients, PLoS One, 2024.

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• Jong Bub Lee, Hyun Gyu Lee, Quantitative analysis of automatic voice disorder detection studies for hybrid feature and classifier selection, Biomedical Signal Processing and Control,  91, 2024.

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• Hyun‑Gyu Lee, Sang‑Don Park, Jang‑Whan Bae, Sung Joon Moon, Chai Young Jung, Mi‑Sook Kim, Tae‑Hun Kim, and Won Kyung Lee, Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease, Scientific Reports, 13, 2023

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• Seong Huan Choi, Hyun-Gye Lee, Sang-Don Park, Jang-Whan Bae, Woojoo Lee, Mi-Sook Kim, Tae-Hun Kim, and Won Kyung Lee, Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease, BMC Cardiovascular Disorders,  23(287), 2023

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• Hyun‑Gyu Lee, Youngho Seo, Ji Hye Kim, Seung Baik Han, Jae Hyoung Im, Chai Young Jung, and Areum Durey, Machine learning model for predicting ciprofoxacin resistance and presence of ESBL in patients with UTI in the ED, Scientific Reports, 25, 2023

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• Hyun-Gyu Lee, Gahee Lee, and Juyoung Lee, Convolutional neural network‑based respiration analysis of electrical activitiesof the diaphragm, Scientific Reports, 12, 2022

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• Hyun-Gyu Lee and Sang-Chul Lee, Morphological Multi-Cell Discrimination for Robust Cell Segmentation, IEEE ACCESS, 8, 49837~49847, 2020

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• Hyun-Gyu Lee and Sang-Chul Lee, Cell Segmentation for Quantitative Analysis of Anodized TiO2 Foil, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 15(5), 2828~2837, 2019

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• Bo-Gyu Park, Hyun-Gyu Lee and Sang-Chul Lee, Demosaicking with adaptive reference range selection, JOURNAL OF ELECTRONIC IMAGING, 28(1), 2019

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• Hyun-Gyu Lee and Sang-Chul Lee, Improving performance of repetitive computer-based tasks through visual stimuli tailored to the individual, COGNITION TECHNOLOGY & WORK, 20(1), 153~161, 2018

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• Hyun-Gyu Lee and Sang-Chul Lee, Nucleus Segmentation Using Gaussian Mixture based Shape Models, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 22(1), 235~243, 2018

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• Min-Kook Choi, Ziyu Wang, Hyun-Gyu Lee, and Sang-Chul Lee, A bag-of-regions representation for video classification, MULTIMEDIA TOOLS AND APPLICATIONS, 75(5), 2453~2472, 2016

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• Hyun-Gyu Lee, Min-Kook Choi, Sang-Chul Lee, Grain-oriented segmentation of images of porous structures using ray casting and curvature energy minimization, Journal of microscopy, 257(2), 92~103, 2015

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• Hyun-Gyu Lee, Min-Kook Choi, Sang-Chul Lee, Reducing redundancy in wireless capsule endoscopy videos, COMPUTERS IN BIOLOGY AND MEDICINE, 43, 670~682, 2013