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Author

Ji Soo Jeon

Observed name: Jisoo Jeon
ORCID: 0000-0001-6621-283X
Observed ORCID: 0000-0001-6621-283X
OpenAlex ID: A5017276957
Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques
2021 · Young Jae Kim, Ji Soo Jeon, et al. · Diagnostics · 47
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Concordance rate of radiologists and a commercialized deep-learning solution for chest X-ray: Real-world experience with a multicenter health screening cohort
2022 · Eun Young Kim, Young Jae Kim, et al. · PLoS ONE · 27
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Machine learning based prediction of recurrence after curative resection for rectal cancer
2023 · Youngbae Jeon, Young-Jae Kim, et al. · PLoS ONE · 18
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Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning
2024 · Sanglim Lee, Kwang Gi Kim, et al. · Clinics in Orthopedic Surgery · 10
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Changes in Nurse Staffing Grades of Korean Hospitals during COVID-19 Pandemic
2021 · Young-Taek Park, JeongYun Park, et al. · International Journal of Environmental Research and Public Health · 7
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Radiomics and machine learning analysis of liver magnetic resonance imaging for prediction and early detection of tumor response in colorectal liver metastases
2024 · Sungjin Yoon, Young Jae Kim, et al. · Korean Journal of Clinical Oncology · 6
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data
2024 · Young-Taek Park, Donghan Kim, et al. · Journal of Medical Internet Research · 4
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Chemoembolization for Hepatocellular Carcinoma Including Contrast Agent-Enhanced CT: Response Assessment Model on Radiomics and Artificial Intelligence
2024 · Sungjin Yoon, Youngjae Kim, et al. · Applied Sciences · 2
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Automatic measurement algorithm of femoral/tibial torsion on standardized CT slices
2022 · Ji Soo Jeon, Young Jae Kim, et al. · International Conference on Information and Communication Technology Convergence (ICTC) · 1
Machine learning techniques for prediction of recurrence after curative resection in the patients with rectal cancer
2022 · Youngbae Jeon, Young-Jae Kim, et al. · European Journal of Surgical Oncology
Works count: 10
Citation count: 122
H-index: 6
I10-index: 4
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