| 2012 | Radiological response predicts survival following transarterial chemoembolisation in patients with unresectable hepatocellular carcinoma | ALIMENTARY PHARMACOLOGY & THERAPEUTICS |
| 2016 | Radiological-pathological correlation study of hepatocellular carcinoma undergoing local chemoradiotherapy and surgery | JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY |
| 2015 | Radiologically Unusual Presentation of Cholesterol Granuloma in the Sphenoid Sinus
| Korean Journal of Otorhinolaryngology-Head and Neck Surgery |
| 2013 | Radiologist Assessment of Breast Density by BI-RADS Categories Versus Fully Automated Volumetric Assessment | AMERICAN JOURNAL OF ROENTGENOLOGY |
| 2010 | Radiology quiz case 1. Chronic sclerosing sialadenitis of the submandibular gland | ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY |
| 2005 | Radiology quiz case 3 | ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY |
| 2017 | Radiology Residents' Comprehension of the Breast Imaging Reporting and Data System: The Ultrasound Lexicon and Final Assessment Category
| Journal of the Korean Society of Radiology |
| 2022 | Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI | EUROPEAN RADIOLOGY |
| 2018 | Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction | RADIOLOGY |
| 2021 | Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists | EUROPEAN RADIOLOGY |
| 2021 | Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications
| Investigative Magnetic Resonance Imaging |
| 2019 | Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging | European Radiology |
| 2022 | Radiomics Feature Analysis Using Native T1 Mapping for Discriminating Between Cardiac Tumors and Thrombi
| ACADEMIC RADIOLOGY |
| 2021 | Radiomics Features of 18 F-Fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal Cancer
| CANCERS |
| 2020 | Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls
| SCIENTIFIC REPORTS |
| 2020 | Radiomics in predicting mutation status for thyroid cancer: A preliminary study using radiomics features for predicting BRAFV600E mutations in papillary thyroid carcinoma
| PLOS ONE |
| 2021 | Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results
| PLOS ONE |
| 2020 | Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas | PITUITARY |
| 2019 | Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors
| Korean Journal of Radiology |
| 2018 | Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma
| SCIENTIFIC REPORTS |
