Se W. Kim
Seoul, Republic of Korea
Last Updated: 09/26/2026
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Found 21 publications
Hepatocellular carcinoma risk stratification to identify patients suitable for intensive surveillance in viral hepatitis: the SELECT score.
Journal: European radiology
Published: May 20, 2025
Evaluation of colorectal liver metastases using virtual monoenergetic images obtained from dual-layer spectral computed tomography.
Journal: Abdominal radiology (New York)
Published: August 08, 2024
Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans.
Journal: Scientific reports
Published: March 13, 2024
Application of a deep learning algorithm for three-dimensional T1-weighted gradient-echo imaging of gadoxetic acid-enhanced MRI in patients at a high risk of hepatocellular carcinoma.
Journal: Abdominal radiology (New York)
Published: September 19, 2023
Feasibility of a deep learning artificial intelligence model for the diagnosis of pediatric ileocolic intussusception with grayscale ultrasonography.
Journal: Ultrasonography (Seoul, Korea)
Published: August 07, 2023
Clinical feasibility of radiofrequency ablation using novel adjustable separable electrodes with a multipurpose needle for treating small hepatocellular carcinomas: a prospective single center study.
Journal: International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
Published: July 16, 2023
Sonazoid-enhanced ultrasonography for noninvasive imaging diagnosis of hepatocellular carcinoma: special emphasis on the 2022 KLCA-NCC guideline.
Journal: Ultrasonography (Seoul, Korea)
Published: March 21, 2023
Perfluorobutane-Enhanced Ultrasound for Characterization of Hepatocellular Carcinoma From Non-hepatocellular Malignancies or Benignancy: Comparison of Imaging Acquisition Methods.
Journal: Ultrasound in medicine & biology
Published: February 27, 2023
Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.
Journal: European radiology
Published: September 07, 2022
Evaluation of HASTE T2 weighted image with reduced echo time for detecting focal liver lesions in patients at risk of developing hepatocellular carcinoma.
Journal: European journal of radiology
Published: August 18, 2022
Abbreviated MRI for Secondary Surveillance of Recurrent Hepatocellular Carcinoma After Presumed Curative Treatment.
Journal: Journal of magnetic resonance imaging : JMRI
Published: July 04, 2022
Low-contrast-dose liver CT using low monoenergetic images with deep learning-based denoising for assessing hepatocellular carcinoma: a randomized controlled noninferiority trial.
Journal: European radiology
Published: July 01, 2022
Last Updated: 09/26/2026