| 2023 | 19F-FDG PET/CT Parameters Enhance MRI Radiomics for Predicting Human Papilloma Virus Status in Oropharyngeal Squamous Cell Carcinoma
| YONSEI MEDICAL JOURNAL |
| 2023 | Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports | EUROPEAN RADIOLOGY |
| 2023 | Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype | JOURNAL OF NEURO-ONCOLOGY |
| 2023 | Quality assessment of stroke radiomics studies: Promoting clinical application | EUROPEAN JOURNAL OF RADIOLOGY |
| 2023 | Response to "Radiomic Models for Diagnosing Juvenile Myoclonic Epilepsy Should Note Its Genetic Heterogeneity"
| KOREAN JOURNAL OF RADIOLOGY |
| 2023 | Development and Testing of a Machine Learning Model Using 18F-Fluorodeoxyglucose PET/CT-Derived Metabolic Parameters to Classify Human Papillomavirus Status in Oropharyngeal Squamous Carcinoma
| KOREAN JOURNAL OF RADIOLOGY |
| 2022 | Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial
| NEUROIMAGE |
| 2022 | Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy
| KOREAN JOURNAL OF RADIOLOGY |
| 2022 | A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
| YONSEI MEDICAL JOURNAL |
| 2021 | Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant
| JOURNAL OF NEURO-ONCOLOGY |
| 2021 | A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm
| YONSEI MEDICAL JOURNAL |
| 2021 | Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2021 | Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2021 | Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI | LARYNGOSCOPE |
| 2020 | A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance | EUROPEAN RADIOLOGY |
| 2020 | Squamous Cell Carcinoma and Lymphoma of the Oropharynx: Differentiation Using a Radiomics Approach
| YONSEI MEDICAL JOURNAL |
| 2016 | Is there an additive value of 18?F-FDG PET-CT to CT/MRI for detecting nodal metastasis in oropharyngeal squamous cell carcinoma patients with palpably negative neck? | ACTA RADIOLOGICA |
| 2015 | MRI-detected extramural vascular invasion is an independent prognostic factor for synchronous metastasis in patients with rectal cancer | EUROPEAN RADIOLOGY |
| 2015 | Clinical usefulness of [18F]FDG PET-CT and CT/MRI for detecting nodal metastasis in patients with hypopharyngeal squamous cell carcinoma | ANNALS OF SURGICAL ONCOLOGY |
| 2014 | 6세 남아에서의 산발성 천사얼굴증 컴퓨터단층촬영 소견
| Journal of the Korean Radiologist Society (대한방사선의학회지) |
| 2014 | Intestinal lesions in pediatric Crohn disease: comparative detectability among pulse sequences at MR enterography | PEDIATRIC RADIOLOGY |
| 2014 | Shear wave velocity measurements using acoustic radiation force impulse in young children with normal kidneys versus hydronephrotic kidneys
| ULTRASONOGRAPHY |
| 2012 | Focal fat deposition developed in the segment IV of the liver following gastrectomy mimicking a hepatic metastasis : two case reports
| Journal of the Korean Society for Clinical Neurophysiology (대한임상신경생리학회지) |
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