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Eun‐Tae Jeon

Observed names: Eun-Tae Jeon, Eun-tae Jeon, Eun‑Tae Jeon
Observed institutions: Gachon University, Seoul National University, Korea University, Seoul Metropolitan Government, SNUH SMG-SNU Boramae Medical Center, Korea University Ansan Hospital
ORCID: 0000-0002-7000-9719
Observed ORCID: 0000-0002-7000-9719
OpenAlex ID: A5081143832
Evaluation of Scalability and Degree of Fine-Tuning of Deep Convolutional Neural Networks for COVID-19 Screening on Chest X-ray Images Using Explainable Deep-Learning Algorithm
2020 · Ki-Sun Lee, Jae Young Kim, et al. · Journal of Personalized Medicine · 70
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Machine learning-based prediction of in-ICU mortality in pneumonia patients
2023 · Eun-Tae Jeon, Hyo Jin Lee, et al. · Scientific Reports · 55
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Interpretable machine learning for early neurological deterioration prediction in atrial fibrillation-related stroke
2021 · Seong-Hwan Kim, Eun-Tae Jeon, et al. · Scientific Reports · 47
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Prediction of hearing recovery in unilateral sudden sensorineural hearing loss using artificial intelligence
2022 · Min Kyu Lee, Eun-Tae Jeon, et al. · Scientific Reports · 37
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A Novel Method for Gait Analysis on Center of Pressure Excursion Based on a Pressure-Sensitive Mat
2020 · Eun-tae Jeon, Hwi-young Cho · International Journal of Environmental Research and Public Health · 34
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Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study
2024 · Dong Hyun Kim, Jiwoon Seo, et al. · Korean Journal of Radiology · 24
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Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning
2021 · Mi-Yeon Eun, Eun-Tae Jeon, et al. · Journal of Stroke and Cerebrovascular Diseases · 20
Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study
2025 · Eun-Tae Jeon, Heemoon Park, et al. · Journal of Medical Internet Research · 16
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Real-world oral anticoagulants for Asian patients with non-valvular atrial fibrillation: A PRISMA-compliant article
2021 · Seung Min Kim, Eun-Tae Jeon, et al. · Medicine · 16
Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency‐modulated continuous‐wave radar
2023 · Ji Hyun Lee, Hyunwoo Nam, et al. · Journal of Sleep Research · 14
Deep-Learning-Based Stroke Screening Using Skeleton Data from Neurological Examination Videos
2022 · Taeho Lee, Eun-Tae Jeon, et al. · Journal of Personalized Medicine · 14
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Effects of therapeutic exercise on sea sand on pain, fatigue, and balance in patients with chronic ankle instability: a feasibility study
2019 · Ho-Jin Shin, Sung-Hyeon Kim, et al. · The Journal of Sports Medicine and Physical Fitness · 13
Predicting short-term outcomes in atrial-fibrillation-related stroke using machine learning
2023 · Eun-Tae Jeon, Seung Jin Jung, et al. · Frontiers in Neurology · 12
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Prediction of Mortality Among Patients With Isolated Traumatic Brain Injury Using Machine Learning Models in Asian Countries: An International Multi-Center Cohort Study
2023 · Juhyun Song, Sang Do Shin, et al. · Journal of Neurotrauma · 12
Longitudinal Changes in Maximal Forced Inspiratory Flow and Clinical Outcomes in Patients With COPD
2024 · Dong Hyun Kim, Eun-Tae Jeon, et al. · CHEST Journal · 11
Prediction of Hearing Prognosis After Intact Canal Wall Mastoidectomy With Tympanoplasty Using Artificial Intelligence
2023 · Sung Jin Lim, Eun‑Tae Jeon, et al. · Otolaryngology · 11
Center of Pressure- and Machine Learning-based Gait Score and Clinical Risk Factors for Predicting Functional Outcome in Acute Ischemic Stroke
2024 · Eun-Tae Jeon, Sang-hun Lee, et al. · Archives of Physical Medicine and Rehabilitation · 8
Automated rating of Fazekas scale in fluid-attenuated inversion recovery MRI for ischemic stroke or transient ischemic attack using machine learning
2025 · Eun-Tae Jeon, Seung Min Kim, et al. · Scientific Reports · 5
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Interpretable machine learning for early neurological deterioration prediction in atrial fibrillation-related stroke
2021 · Seong Hwan Kim, Eun-Tae Jeon, et al. · Journal of the Neurological Sciences · 5
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Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia
2024 · Yoon-Hee Choi, Dong Hyun Kim, et al. · Scientific Reports · 4
Machine learning application in ischemic stroke diagnosis, management, and outcome prediction: a narrative review
2023 · Mi-Yeon Eun, Eun-Tae Jeon, et al. · Journal of Medicine and Life Science · 2
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Association between Internal Carotid Artery Tortuosity and Hemorrhagic Transformation in Patients with Acute Ischemic Stroke
2025 · Jae-Chan Ryu, Sang-Hun Lee, et al. · European Neurology · 1
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Therapeutic Effects of Transcranial Direct Current Stimulation on Functional and Neuropsychological Outcomes in Acute Posterior Circulation Infarction Patients with Ataxia
2025 · Eun-Tae Jeon, Minhee Kim, et al. · Brain stimulation · 1
Prolonged expiratory time constant and risk of moderate-to-severe exacerbations in stable COPD
2026 · Eun-Tae Jeon, Dong Hyun Kim, et al. · Scientific Reports
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Gait ability on center of pressure excursion using a pressure-sensitive mat in the elderly with ischemic stroke: a case–control study with propensity score matching
2022 · Eun-Tae Jeon, Ho-Jin Shin, et al. · Journal of Geriatric Neurology
Works count: 27
Citation count: 432
H-index: 12
I10-index: 16
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