| Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk JY Kwak, KH Han, JH Yoon, HJ Moon, EJ Son, SH Park, HK Jung, ... Radiology 260 (3), 892-899, 2011 | 1583 | 2011 |
| Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction SH Park, K Han Radiology 286 (3), 800-809, 2018 | 841 | 2018 |
| Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study HE Kim, HH Kim, BK Han, KH Kim, K Han, H Nam, EH Lee, EK Kim The Lancet Digital Health 2 (3), e138-e148, 2020 | 445 | 2020 |
| Comparative effectiveness and safety of preoperative lung localization for pulmonary nodules: a systematic review and meta-analysis CH Park, K Han, J Hur, SM Lee, JW Lee, SH Hwang, JS Seo, KH Lee, ... Chest 151 (2), 316-328, 2017 | 268 | 2017 |
| Deep convolutional neural network–based software improves radiologist detection of malignant lung nodules on chest radiographs Y Sim, MJ Chung, E Kotter, S Yune, M Kim, S Do, K Han, H Kim, S Yang, ... Radiology 294 (1), 199-209, 2020 | 230 | 2020 |
| How to develop, validate, and compare clinical prediction models involving radiological parameters: study design and statistical methods K Han, K Song, BW Choi Korean journal of radiology 17 (3), 339-350, 2016 | 179 | 2016 |
| Prostate cancer: PI-RADS version 2 helps preoperatively predict clinically significant cancers SY Park, DC Jung, YT Oh, NH Cho, YD Choi, KH Rha, SJ Hong, K Han Radiology 280 (1), 108-116, 2016 | 177 | 2016 |
| Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging YW Park, J Oh, SC You, K Han, SS Ahn, YS Choi, JH Chang, SH Kim, ... European radiology 29, 4068-4076, 2019 | 171 | 2019 |
| MR enterography for the evaluation of small-bowel inflammation in Crohn disease by using diffusion-weighted imaging without intravenous contrast material: a prospective … N Seo, SH Park, KJ Kim, BK Kang, Y Lee, SK Yang, BD Ye, SH Park, ... Radiology 278 (3), 762-772, 2016 | 164 | 2016 |
| Prediction of IDH1-mutation and 1p/19q-codeletion status using preoperative MR imaging phenotypes in lower grade gliomas YW Park, K Han, SS Ahn, S Bae, YS Choi, JH Chang, SH Kim, SG Kang, ... American Journal of Neuroradiology 39 (1), 37-42, 2018 | 160 | 2018 |
| Shear wave elastography of thyroid nodules for the prediction of malignancy in a large scale study AY Park, EJ Son, K Han, JH Youk, JA Kim, CS Park European journal of radiology 84 (3), 407-412, 2015 | 156 | 2015 |
| Preoperative prediction of central lymph node metastasis in thyroid papillary microcarcinoma using clinicopathologic and sonographic features KE Kim, EK Kim, JH Yoon, KH Han, HJ Moon, JY Kwak World journal of surgery 37, 385-391, 2013 | 156 | 2013 |
| Age-related changes in liver, kidney, and spleen stiffness in healthy children measured with acoustic radiation force impulse imaging MJ Lee, MJ Kim, KH Han, CS Yoon European journal of radiology 82 (6), e290-e294, 2013 | 151 | 2013 |
| Applying data-driven imaging biomarker in mammography for breast cancer screening: preliminary study EK Kim, HE Kim, K Han, BJ Kang, YM Sohn, OH Woo, CW Lee Scientific reports 8 (1), 2762, 2018 | 133 | 2018 |
| Factors affecting inadequate sampling of ultrasound‐guided fine‐needle aspiration biopsy of thyroid nodules SH Choi, KH Han, JH Yoon, HJ Moon, EJ Son, JH Youk, EK Kim, JY Kwak Clinical endocrinology 74 (6), 776-782, 2011 | 131 | 2011 |
| Effect of fruits and vegetables on metabolic syndrome: a systematic review and meta-analysis of randomized controlled trials JY Shin, JY Kim, HT Kang, KH Han, JY Shim International journal of food sciences and nutrition 66 (4), 416-425, 2015 | 127 | 2015 |
| Diagnostic value of commercially available shear-wave elastography for breast cancers: integration into BI-RADS classification with subcategories of category 4 JH Youk, HM Gweon, EJ Son, KH Han, JA Kim European radiology 23, 2695-2704, 2013 | 126 | 2013 |
| Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma SE Lee, K Han, JY Kwak, E Lee, EK Kim Scientific reports 8 (1), 1-8, 2018 | 118 | 2018 |
| Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound SY Ko, JH Lee, JH Yoon, H Na, E Hong, K Han, I Jung, EK Kim, HJ Moon, ... Head & neck 41 (4), 885-891, 2019 | 117 | 2019 |
| Diagnosis of thyroid nodules: performance of a deep learning convolutional neural network model vs. radiologists VY Park, K Han, YK Seong, MH Park, EK Kim, HJ Moon, JH Yoon, ... Scientific reports 9 (1), 17843, 2019 | 89 | 2019 |
