2017 | Baseline Chloride Levels are Associated with the Incidence of Contrast-Associated Acute Kidney Injury
| SCIENTIFIC REPORTS |
2020 | Current State and Strategy for Establishing a Digitally Innovative Hospital: Memorial Review Article for Opening of Yongin Severance Hospital
| YONSEI MEDICAL JOURNAL |
2022 | Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography | CLINICAL BREAST CANCER |
2021 | Deep-learning system for real-time differentiation between Crohn's disease, intestinal Behçet's disease, and intestinal tuberculosis | JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY |
2020 | Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network
| SCIENTIFIC REPORTS |
2018 | Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI | EUROPEAN RADIOLOGY |
2021 | Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer
| KOREAN JOURNAL OF RADIOLOGY |
2019 | Evaluation of Early Response to Treatment of Hepatocellular Carcinoma with Yttrium-90 Radioembolization Using Quantitative Computed Tomography Analysis
| KOREAN JOURNAL OF RADIOLOGY |
2022 | Fully automatic quantification of transient severe respiratory motion artifact of gadoxetate disodium-enhanced MRI during arterial phase | MEDICAL PHYSICS |
2019 | Gadoxetic acid enhanced magnetic resonance imaging for prediction of the postoperative prognosis of intrahepatic mass-forming cholangiocarcinoma | ABDOMINAL RADIOLOGY |
2021 | Histogram-derived modified thresholds for coronary artery calcium scoring with lower tube voltage
| SCIENTIFIC REPORTS |
2023 | Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs
| PLOS ONE |
2020 | MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer
| SCIENTIFIC REPORTS |
2022 | MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy | RADIOLOGY |
2021 | Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI
| APPLIED SCIENCES-BASEL |
2019 | Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children
| SCIENTIFIC REPORTS |
2018 | Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
| SCIENTIFIC REPORTS |
2019 | Postoperative Recurrence of Hepatocellular Carcinoma: The Importance of Distinguishing between Intrahepatic Metastasis and Multicentric Occurrence-Response | CLINICAL CANCER RESEARCH |
2020 | Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis
| SCIENTIFIC REPORTS |
2021 | Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer
| ULTRASONOGRAPHY |
2021 | Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists | EUROPEAN RADIOLOGY |
2019 | Radiomics on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging for Prediction of Postoperative Early and Late Recurrence of Single Hepatocellular Carcinoma
| CLINICAL CANCER RESEARCH |
2022 | Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth | EXPERT SYSTEMS WITH APPLICATIONS |
2020 | Statistical Image Restoration for Low-Dose CT using Convolutional Neural Networks | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
2020 | StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING |
2022 | Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice
| KOREAN JOURNAL OF RADIOLOGY |
2018 | T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer | EUROPEAN RADIOLOGY |
2019 | What should medical students know about artificial intelligence in medicine?
| Journal of Educational Evaluation for Health Professions (보건의료교육평가) |