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Yongwon Cho

Observed names: Yong-Won Cho, Yongwon (Conrad) Cho, Yongwon Cho -, Yongwon cho
Institutions: Princess Nourah bint Abdulrahman University, Prince Sattam Bin Abdulaziz University, Islamia University of Bahawalpur, King Abdulaziz University, Soonchunhyang University, University of Hafr Al-Batin
Observed institutions: Princess Nourah bint Abdulrahman University, Pohang University of Science and Technology, National Institutes of Health, Seoul National University, Soongsil University, Prince Sattam Bin Abdulaziz University, Islamia University of Bahawalpur, King Abdulaziz University, Korea University, Konkuk University, Soonchunhyang University, Korea University Medical Center, Asan Medical Center, University of Ulsan, National Institute of Neurological Disorders and Stroke, University of Hafr Al-Batin, Korea Institute for Industrial Economics and Trade, Korea University, Korea University Anam Hospital, Ajou University
ORCID: 0000-0001-8092-5799
Observed ORCID: 0000-0001-8092-5799
OpenAlex ID: A5102024948
Deep Learning in Medical Imaging
2019 · Mingyu Kim, Jihye Yun, et al. · Neurospine · 367
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High-Efficiency Bidirectional DAB Inverter Using a Novel Hybrid Modulation for Stand-Alone Power Generating System With Low Input Voltage
2015 · Yong-Won Cho, Woo-Jun Cha, et al. · IEEE Transactions on Power Electronics · 119
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets
2019 · Jongha Park, Jihye Yun, et al. · Journal of Imaging Informatics in Medicine · 112
Usefulness of pulsed arterial spin labeling MR imaging in mesial temporal lobe epilepsy
2008 · Young-Min Lim, Yong-Won Cho, et al. · Epilepsy Research · 90
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Application of deep learning–based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy
2019 · Sohee Park, Sang Min Lee, et al. · European Radiology · 71
Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network
2021 · Seok-Ki Jung, Ho-Kyung Lim, et al. · Diagnostics · 61
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SmartBuckle
2008 · Yongwon Cho, Yunyoung Nam, et al. · 56
Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network
2021 · Ho-Kyung Lim, Seok-Ki Jung, et al. · BMC Oral Health · 46
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Single Power-Conversion AC--DC Converter With High Power Factor and High Efficiency
2013 · Yong-Won Cho, Jung-Min Kwon, et al. · IEEE Transactions on Power Electronics · 45
Deep Learning in Medical Imaging
2020 · Mingyu Kim, Jihye Yun, et al. · Neurospine · 44
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Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network
2019 · Hyun-Jin Bae, Heejung Hyun, et al. · Computer Methods and Programs in Biomedicine · 41
Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room
2020 · A-reum Lee, Yongwon Cho, et al. · Computer Methods and Programs in Biomedicine · 38
Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer
2021 · Sung Eun Song, Kyu Ran Cho, et al. · European Radiology · 34
Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI
2023 · Kyu-Chong Lee, Yongwon Cho, et al. · Diagnostics · 33
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A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities
2019 · Beomhee Park, Yongwon Cho, et al. · Scientific Reports · 31
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Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room
2018 · Yongwon Cho, Areum Lee, et al. · Computer Methods and Programs in Biomedicine · 30
Lumbar Spine Computed Tomography to Magnetic Resonance Imaging Synthesis Using Generative Adversarial Network: Visual Turing Test
2022 · Ki-Taek Hong, Yongwon Cho, et al. · Diagnostics · 28
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A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
2019 · Young-Gon Kim, Gyuheon Choi, et al. · Scientific Reports · 28
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Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI
2023 · Sung Eun Song, Ok Hee Woo, et al. · Academic Radiology · 26
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Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center study
2022 · Yeo Eun Han, Yongwon Cho, et al. · Abdominal Radiology · 26
Multimodal integration of neuroimaging and genetic data for the diagnosis of mood disorders based on computer vision models
2024 · Seungeun Lee, Yongwon Cho, et al. · Journal of Psychiatric Research · 24
Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net
2019 · Young-Gon Kim, Yongwon Cho, et al. · Scientific Reports · 20
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Prediction of Mortality after Burn Surgery in Critically Ill Burn Patients Using Machine Learning Models
2022 · Ji Hyun Park, Yongwon Cho, et al. · Journal of Personalized Medicine · 16
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Reproducibility of abnormality detection on chest radiographs using convolutional neural network in paired radiographs obtained within a short-term interval
2020 · Yongwon Cho, Young-Gon Kim, et al. · Scientific Reports · 15
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Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs
2021 · Yongwon Cho, Beomhee Park, et al. · Computers in Biology and Medicine · 13
Works count: 111
Citation count: 1,633
H-index: 21
I10-index: 31
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