Bong-il I. Song
Daegu, Republic of Korea
Last Updated: 09/26/2026
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Found 38 publications
A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma.
Journal: Diagnostics (Basel, Switzerland)
Published: September 02, 2024
Development of lung cancer risk prediction models based on F-18 FDG PET images.
Journal: Annals of nuclear medicine
Published: April 06, 2023
Pure uric acid stone prediction model using the variant coefficient of stone density measured by thresholding 3D segmentation-based methods: A multicenter study.
Journal: Computer methods and programs in biomedicine
Published: November 19, 2022
Prognostic value of metabolic parameters on 18F-fluorodeoxyglucose positron tomography/computed tomography in classical rectal adenocarcinoma.
Journal: Scientific reports
Published: February 02, 2021
A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer.
Journal: Breast cancer (Tokyo, Japan)
Published: September 10, 2020
KSNM/KSID/KOSHIC Guidance for Nuclear Medicine Department Against the Coronavirus Disease 2019 (COVID-19) Pandemic.
Journal: Nuclear medicine and molecular imaging
Published: June 02, 2020
Comparison of Image Quality and Semi-quantitative Measurements with Digital PET/CT and Standard PET/CT from Different Vendors.
Journal: Nuclear medicine and molecular imaging
Published: May 22, 2020
Computed Tomography (CT) Protocols Associated with Cardiac and Bone Single-Photon Emission Computed Tomography/CT (SPECT/CT) in Korea.
Journal: Nuclear medicine and molecular imaging
Published: April 20, 2020
Nomogram using F-18 fluorodeoxyglucose positron emission tomography/computed tomography for preoperative prediction of lymph node metastasis in gastric cancer.
Journal: World journal of gastrointestinal oncology
Published: December 27, 2019
Last Updated: 09/26/2026