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  1. No Access

    Article

    Comparison of 3D magnetic resonance imaging and digital subtraction angiography for intracranial artery stenosis

    To compare three-dimensional high-resolution magnetic resonance imaging (3D HR-MRI) and digital subtraction angiography (DSA) for diagnosing and evaluating stenosis in the entire circle of Willis.

    Ji Eun Park, Seung Chai Jung, Sang Hun Lee, Ji Young Jeon, Ji Ye Lee in European Radiology (2017)

  2. No Access

    Article

    Lateral epicondylitis: Associations of MR imaging and clinical assessments with treatment options in patients receiving conservative and arthroscopic managements

    We assessed the implications of MR imaging with clinical history in lateral epicondylitis management by evaluating imaging and clinical features in patients with lateral epicondylitis treated conservatively or...

    Ji Young Jeon, Min Hee Lee, In-Ho Jeon, Hye Won Chung, Sang Hoon Lee in European Radiology (2018)

  3. No Access

    Article

    The effect of tube voltage combination on image artefact and radiation dose in dual-source dual-energy CT: comparison between conventional 80/140 kV and 80/150 kV plus tin filter for gout protocol

    In dual-source CT, dual-energy (DE) performance is affected by various X-ray tube voltage combinations with and without tin filter (Sn). The purpose of this study was to assess the utility of the 80/150 Sn kV ...

    Ji Young Jeon, Sheen-Woo Lee, Yu Mi Jeong, Han Joo Baek in European Radiology (2019)

  4. Article

    Open Access

    Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images

    Vertebral compression fracture is a deformity of vertebral bodies found on lateral spine images. To diagnose vertebral compression fracture, accurate measurement of vertebral compression ratio is required. The...

    Dong Hyun Kim, ** Gyo Jeong, Young Jae Kim, Kwang Gi Kim in Journal of Digital Imaging (2021)

  5. No Access

    Article

    Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography

    Analyzing spinal curvatures manually is time-consuming and tedious for clinicians, and intra-observer and inter-observer variability can affect manual measurements. In this study, we developed and evaluated th...

    Hyo Min Lee, Young Jae Kim, Je Bok Cho, Ji Young Jeon in Journal of Digital Imaging (2022)