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Seongyong Pak

Showing results (1-10 of 14) with videos related to

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Skeletal Radiology|April 11, 2026
Differentiating Schmorl's nodes from osteolytic bone metastases: diagnostic performance of conventional CT features and CT-based models incorporating radiomics and CT featuresSekyoung Park, Seongyong Pak, Jin Do Huh
The British Journal of Radiology|February 2, 2024
Low-dose versus conventional CT urography using dual-source CT with different time-current product values and the same tube voltage: image quality and diagnostic performance in various diagnosesMoon Hyung Choi, Sheen-Woo Lee, Seongyong Pak
European Journal of Radiology|May 15, 2021
Dual-energy CT of the liver: True noncontrast vs. virtual noncontrast images derived from multiple phases for the diagnosis of fatty liverMoon Hyung Choi, Young Joon Lee, Yun Jeong Choi, et al.
Quantitative Imaging in Medicine and Surgery|June 7, 2024
Femoral osteoporosis prediction model using autosegmentation and machine learning analysis with PyRadiomics on abdomen-pelvic computed tomography (CT)Min Su Park, Hong Il Ha, Hyun Kyung Lim, et al.
European Journal of Radiology|December 30, 2022
Ultra-low-dose hepatic multiphase CT using deep learning-based image reconstruction algorithm focused on arterial phase in chronic liver disease: A non-inferiority studyHyun Joo Lee, Jin Sil Kim, Jeong Kyong Lee, et al.
Journal of Applied Clinical Medical Physics|November 16, 2019
Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIREJun-Bong Shin, Do-Kun Yoon, Seongyong Pak, et al.
BMC Medical Imaging|December 19, 2022
Prospective evaluation of low-dose multiphase hepatic computed tomography for detecting and characterizing hepatocellular carcinoma in patients with chronic liver diseaseEun Sun Choi, Jin Sil Kim, Jeong Kyong Lee, et al.
Urolithiasis|March 18, 2023
Optimal dual-energy computed tomography scan parameters to detect small-sized urinary stones and their compositionJin-Woo Jung, Jun-Bong Shin, Hyo-Jun Choi, et al.
Diagnostics (Basel, Switzerland)|April 13, 2024
Development and Validation of a Deep-Learning-Based Algorithm for Detecting and Classifying Metallic Implants in Abdominal and Spinal CT TopogramsMoon-Hyung Choi, Joon-Yong Jung, Zhigang Peng, et al.
Diagnostics (Basel, Switzerland)|December 11, 2025
Low- Versus High-Concentration Iodine Contrast for Hepatic Multiphase CT in Chronic Liver Disease: Image Quality, Lesion Detectability, and Iodine Load Reduction with Modern MDCT-A Retrospective Non-Inferiority StudyBo Kyung Kim, Jin Sil Kim, Hyo Jeong Lee, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Skeletal Radiology|April 11, 2026
Differentiating Schmorl's nodes from osteolytic bone metastases: diagnostic performance of conventional CT features and CT-based models incorporating radiomics and CT featuresSekyoung Park, Seongyong Pak, Jin Do Huh
The British Journal of Radiology|February 2, 2024
Low-dose versus conventional CT urography using dual-source CT with different time-current product values and the same tube voltage: image quality and diagnostic performance in various diagnosesMoon Hyung Choi, Sheen-Woo Lee, Seongyong Pak
European Journal of Radiology|May 15, 2021
Dual-energy CT of the liver: True noncontrast vs. virtual noncontrast images derived from multiple phases for the diagnosis of fatty liverMoon Hyung Choi, Young Joon Lee, Yun Jeong Choi, et al.
Quantitative Imaging in Medicine and Surgery|June 7, 2024
Femoral osteoporosis prediction model using autosegmentation and machine learning analysis with PyRadiomics on abdomen-pelvic computed tomography (CT)Min Su Park, Hong Il Ha, Hyun Kyung Lim, et al.
European Journal of Radiology|December 30, 2022
Ultra-low-dose hepatic multiphase CT using deep learning-based image reconstruction algorithm focused on arterial phase in chronic liver disease: A non-inferiority studyHyun Joo Lee, Jin Sil Kim, Jeong Kyong Lee, et al.
Journal of Applied Clinical Medical Physics|November 16, 2019
Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIREJun-Bong Shin, Do-Kun Yoon, Seongyong Pak, et al.
BMC Medical Imaging|December 19, 2022
Prospective evaluation of low-dose multiphase hepatic computed tomography for detecting and characterizing hepatocellular carcinoma in patients with chronic liver diseaseEun Sun Choi, Jin Sil Kim, Jeong Kyong Lee, et al.
Urolithiasis|March 18, 2023
Optimal dual-energy computed tomography scan parameters to detect small-sized urinary stones and their compositionJin-Woo Jung, Jun-Bong Shin, Hyo-Jun Choi, et al.
Diagnostics (Basel, Switzerland)|April 13, 2024
Development and Validation of a Deep-Learning-Based Algorithm for Detecting and Classifying Metallic Implants in Abdominal and Spinal CT TopogramsMoon-Hyung Choi, Joon-Yong Jung, Zhigang Peng, et al.
Diagnostics (Basel, Switzerland)|December 11, 2025
Low- Versus High-Concentration Iodine Contrast for Hepatic Multiphase CT in Chronic Liver Disease: Image Quality, Lesion Detectability, and Iodine Load Reduction with Modern MDCT-A Retrospective Non-Inferiority StudyBo Kyung Kim, Jin Sil Kim, Hyo Jeong Lee, et al.
Pageof 2