| 2020 | Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs | RADIOLOGY |
| 2022 | Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography | CLINICAL BREAST CANCER |
| 2022 | Deep learning-based reconstruction on cardiac CT yields distinct radiomic features compared to iterative and filtered back projection reconstructions
| SCIENTIFIC REPORTS |
| 2021 | Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2022 | Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics | EUROPEAN RADIOLOGY |
| 2023 | Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs
| JAMA NETWORK OPEN |
| 2022 | Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy
| KOREAN JOURNAL OF RADIOLOGY |
| 2023 | Diagnosis of thyroid micronodules on ultrasound using a deep convolutional neural network
| SCIENTIFIC REPORTS |
| 2019 | Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists
| SCIENTIFIC REPORTS |
| 2021 | Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer
| KOREAN JOURNAL OF RADIOLOGY |
| 2014 | Diagnostic Role of Conventional Ultrasonography and Shearwave Elastography in Asymptomatic Patients with Diffuse Thyroid Disease: Initial Experience with 57 Patients
| YONSEI MEDICAL JOURNAL |
| 2019 | Diagnostic Value of Advanced Imaging Modalities for the Detection and Differentiation of Prosthetic Valve Obstruction: A Systematic Review and Meta-Analysis | JACC-CARDIOVASCULAR IMAGING |
| 2013 | Diagnostic value of commercially available shear-wave elastography for breast cancers: integration into BI-RADS classification with subcategories of category 4 | EUROPEAN RADIOLOGY |
| 2023 | Differentiation between hepatic angiomyolipoma and hepatocellular carcinoma in individuals who are not at-risk for hepatocellular carcinoma | EUROPEAN JOURNAL OF RADIOLOGY |
| 2019 | Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks
| SCIENTIFIC REPORTS |
| 2022 | Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level
| ULTRASONOGRAPHY |
| 2021 | Effect of different driver power amplitudes on liver stiffness measurement in pediatric liver MR elastography | ABDOMINAL RADIOLOGY |
| 2015 | Evaluation of serum thyroid-stimulating hormone as indicator for fine-needle aspiration in patients with thyroid nodules | HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK |
| 2022 | Evaluation of the Ostium in Anomalous Origin of the Right Coronary Artery with an Interarterial Course Using Dynamic Cardiac CT and Implications of Ostial Findings
| KOREAN JOURNAL OF RADIOLOGY |
| 2020 | Evaluation of treatment response in hepatocellular carcinoma in the explanted liver with Liver Imaging Reporting and Data System version 2017 | EUROPEAN RADIOLOGY |
| 2011 | Factors affecting inadequate sampling of ultrasound-guided fine-needle aspiration biopsy of thyroid nodules. | CLINICAL ENDOCRINOLOGY |
| 2019 | Feasibility of Spin-Echo Echo-Planar Imaging MR Elastography in Livers of Children and Young Adults Adults
| Investigative Magnetic Resonance Imaging |
| 2015 | Fine-needle aspirate CYFRA 21-1, an innovative new marker for diagnosis of axillary lymph node metastasis in breast cancer patients
| MEDICINE |
| 2013 | Fine-needle aspirates CYFRA 21-1 is a useful tumor marker for detecting axillary lymph node metastasis in breast cancer patients
| PLOS ONE |
| 2023 | Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis | JOURNAL OF NEURORADIOLOGY |
| 2020 | Guideline Implementation on Fine-Needle Aspiration for Thyroid Nodules: Focusing on Micronodules | ENDOCRINE PRACTICE |
| 2015 | Half-dose abdominal CT with sinogram-affirmed iterative reconstruction technique in children - comparison with full-dose CT with filtered back projection | PEDIATRIC RADIOLOGY |
| 2021 | Histogram-derived modified thresholds for coronary artery calcium scoring with lower tube voltage
| SCIENTIFIC REPORTS |
| 2023 | How to Determine If One Diagnostic Method, Such as an Artificial Intelligence Model, is Superior to Another: Beyond Performance Metrics
| KOREAN JOURNAL OF RADIOLOGY |
| 2012 | HR-MAS MR spectroscopy of breast cancer tissue obtained with core needle biopsy: correlation with prognostic factors
| PLOS ONE |
| 2021 | Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma | JOURNAL OF NEURO-ONCOLOGY |
| 2019 | Imaging Features of Hepatocellular Carcinoma: Quantitative and Qualitative Comparison Between MRI-Enhanced With Gd-EOB-DTPA and Gd-DTPA | Investigative Radiology |
| 2022 | Impact of intratumoral heterogeneity on the metabolic profiling of breast cancer tissue using high-resolution magic angle spinning magnetic resonance spectroscopy | NMR IN BIOMEDICINE |
| 2022 | Initial Abdominal CT and Laboratory Findings Prior to Diagnosis of Crohn's Disease in Children
| YONSEI MEDICAL JOURNAL |
| 2023 | Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning | EUROPEAN RADIOLOGY |
| 2014 | Intestinal lesions in pediatric Crohn disease: comparative detectability among pulse sequences at MR enterography | PEDIATRIC RADIOLOGY |
| 2014 | Intra-observer reproducibility and diagnostic performance of breast shear-wave elastography in Asian women | ULTRASOUND IN MEDICINE AND BIOLOGY |
| 2013 | Ischemic stroke: measurement of intracranial artery calcifications can improve prediction of asymptomatic coronary artery disease | RADIOLOGY |
| 2015 | Lesion stiffness measured by shear-wave elastography: Preoperative predictor of the histologic underestimation of US-guided core needle breast biopsy | EUROPEAN JOURNAL OF RADIOLOGY |
| 2023 | Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features
| DIAGNOSTICS |
| 2015 | Mammographic and sonographic features of triple-negative invasive carcinoma of no special type. | ULTRASOUND IN MEDICINE AND BIOLOGY |
| 2023 | Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis | RADIOLOGY |
| 2018 | Myocardial Extracellular Volume Fraction and Change in Hematocrit Level: MR Evaluation by Using T1 Mapping in an Experimental Model of Anemia | RADIOLOGY |
| 2023 | Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports | EUROPEAN RADIOLOGY |
| 2019 | Optimal lexicon of gadoxetic acid-enhanced magnetic resonance imaging for the diagnosis of hepatocellular carcinoma modified from LI-RADS | Abdominal Radiology |
| 2020 | Optimization of a chest computed tomography protocol for detecting pure ground glass opacity nodules: A feasibility study with a computer-assisted detection system and a lung cancer screening phantom
| PLOS ONE |
| 2019 | Outcomes of Ductal Carcinoma In Situ According to Detection Modality: A Multicenter Study Comparing Recurrence Between Mammography and Breast US | Ultrasound in Medicine and Biology |
| 2014 | Pathologic Spectrum of Lymphocytic Infiltration and Recurrence of Papillary Thyroid Carcinoma
| YONSEI MEDICAL JOURNAL |
| 2019 | Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children
| SCIENTIFIC REPORTS |
| 2021 | Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning
| KOREAN JOURNAL OF RADIOLOGY |
| 2023 | Pre- and Immediate Post-Kasai Portoenterostomy Shear Wave Elastography for Predicting Hepatic Fibrosis and Native Liver Outcomes in Patients With Biliary Atresia
| KOREAN JOURNAL OF RADIOLOGY |
| 2015 | Predicting the image noise level of prospective ECG-triggered coronary computed tomography angiography: quantitative measurement of thoracic component versus body mass index | INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING |
| 2022 | PREDICTION OF SURGICAL OUTCOMES OF INTERVAL DEBULKING SURGERY (IDS) USING IN ADVANCED OVARIAN CANCER: A NOVEL SCORING SYSTEM USING POST-NEOADJUVANT CHEMOTHERAPY (NAC) COMPUTED TOMOGRAPHY (CT) | INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER |
| 2021 | Predictive factors of recurrence after resection of subsolid clinical stage IA lung adenocarcinoma
| THORACIC CANCER |
| 2023 | Preliminary study for prediction of benign vertebral compression fracture age by quantitative water fraction using modified Dixon sequences: an imaging biomarker of fracture age | RADIOLOGIA MEDICA |
| 2022 | Preoperative magnetic resonance imaging-based prognostic model for mass-forming intrahepatic cholangiocarcinoma | LIVER INTERNATIONAL |
| 2013 | Preoperative Prediction of Central Lymph Node Metastasis in Thyroid Papillary Microcarcinoma Using Clinicopathologic and Sonographic Features | WORLD JOURNAL OF SURGERY |
| 2021 | Prevalence of abnormal cardiovascular magnetic resonance findings in recovered patients from COVID-19: a systematic review and meta-analysis
| JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE |
| 2019 | Prognostic value of coronary artery disease-reporting and data system (CAD-RADS) score for cardiovascular events in ischemic stroke | ATHEROSCLEROSIS |
| 2021 | Prognostic Value of Coronary Artery Disease-Reporting and Data System Score for Major Adverse Cardiac Events in Patients Attending the Emergency Department With Acute Chest Pain | JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY |
