2024 | AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ
| INSIGHTS INTO IMAGING |
2023 | Learnability of Thyroid Nodule Assessment on Ultrasonography: Using a Big Data Set | ULTRASOUND IN MEDICINE AND BIOLOGY |
2023 | Artificial Intelligence Computer-Assisted Diagnosis for Thyroid Nodules: Comparison of Diagnostic Performance Using Original and Mobile Ultrasonography Images
| International Journal of Thyroidology |
2023 | Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test
| PLOS ONE |
2022 | AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications | EUROPEAN RADIOLOGY |
2022 | Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level
| ULTRASONOGRAPHY |
2022 | 유방 병변의 초음파-유도하 중심생검: 2020년 의학적 감사
| Journal of the Korean Society for Breast Screening(대한유방검진학회지) |
2021 | Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology | EUROPEAN RADIOLOGY |
2021 | Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance | EUROPEAN RADIOLOGY |
2021 | 2019년 한 기관에서의 유방 초음파 BI-RADS 범주 4와 5 병변의 양성예측도
| Journal of the Korean Society for Breast Screening(대한유방검진학회지) |
2020 | Artificial intelligence to predict the BRAFV600E mutation in patients with thyroid cancer
| PLOS ONE |
2020 | Preoperative Magnetic Resonance Imaging Features Associated with Positive Resection Margins in Patients with Invasive Lobular Carcinoma
| KOREAN JOURNAL OF RADIOLOGY |
2020 | Ultrasonography surveillance in papillary thyroid carcinoma patients after total thyroidectomy according to dynamic risk stratification | ENDOCRINE |
2020 | Diagnostic performances and unnecessary US-FNA rates of various TIRADS after application of equal size thresholds
| SCIENTIFIC REPORTS |
2020 | Utility of CT Radiomics for Prediction of PD-L1 Expression in Advanced Lung Adenocarcinomas
| THORACIC CANCER |
2019 | Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks
| SCIENTIFIC REPORTS |
2019 | Quantitative assessment of mesorectal fat: new prognostic biomarker in patients with mid-to-lower rectal cancer | EUROPEAN RADIOLOGY |