| Gliomas: Histogram Analysis of Apparent Diffusion Coefficient Maps with Standard- or High-b-Value Diffusion-weighted MR Imaging—Correlation with Tumor Grade Y Kang, SH Choi, YJ Kim, KG Kim, CH Sohn, JH Kim, TJ Yun, KH Chang Radiology 261 (3), 882-890, 2011 | 387 | 2011 |
| Computerized texture analysis of persistent part-solid ground-glass nodules: differentiation of preinvasive lesions from invasive pulmonary adenocarcinomas HD Chae, CM Park, SJ Park, SM Lee, KG Kim, JM Goo Radiology 273 (1), 285-293, 2014 | 247 | 2014 |
| Pulmonary Nodules: Automated Detection on CT Images with Morphologic Matching Algorithm—Preliminary Results1 KT Bae, JS Kim, YH Na, KG Kim, JH Kim Radiology 236 (1), 286-293, 2005 | 192 | 2005 |
| Predictive CT findings of malignancy in ground-glass nodules on thin-section chest CT: the effects on radiologist performance HJ Lee, JM Goo, CH Lee, CM Park, KG Kim, EA Park, HY Lee European radiology 19, 552-560, 2009 | 164 | 2009 |
| Transient part-solid nodules detected at screening thin-section CT for lung cancer: comparison with persistent part-solid nodules SM Lee, CM Park, JM Goo, CH Lee, HJ Lee, KG Kim, MJ Kang, IS Lee Radiology 255 (1), 242-251, 2010 | 157 | 2010 |
| Computer-aided Diagnosis of Localized Ground-Glass Opacity in the Lung at CT: Initial Experience1 KG Kim, JM Goo, JH Kim, HJ Lee, BG Min, KT Bae, JG Im Radiology 237 (2), 657-661, 2005 | 126 | 2005 |
| Book review: Deep learning KG Kim Healthcare informatics research 22 (4), 351, 2016 | 125 | 2016 |
| Differentiation between malignancy and inflammation in pulmonary ground-glass nodules: the feasibility of integrated 18F-FDG PET/CT EJ Chun, HJ Lee, WJ Kang, KG Kim, JM Goo, CM Park, CH Lee Lung Cancer 65 (2), 180-186, 2009 | 123 | 2009 |
| Spotting malignancies from gastric endoscopic images using deep learning JH Lee, YJ Kim, YW Kim, S Park, Y Choi, YJ Kim, DK Park, KG Kim, ... Surgical endoscopy 33, 3790-3797, 2019 | 119 | 2019 |
| 3T 1H-MR spectroscopy in grading of cerebral gliomas: comparison of short and intermediate echo time sequences J Kim, KH Chang, DG Na, IC Song, BJ Kwon, MH Han, K Kim American journal of neuroradiology 27 (7), 1412-1418, 2006 | 113 | 2006 |
| A study on hemorrhage detection using hybrid method in fundus images JP Bae, KG Kim, HC Kang, CB Jeong, KH Park, JM Hwang Journal of digital imaging 24, 394-404, 2011 | 94 | 2011 |
| Appropriateness of a donor liver with respect to macrosteatosis: application of artificial neural networks to US images—initial experience SH Kim, JM Lee, JH Kim, KG Kim, JK Han, KH Lee, SH Park, NJ Yi, ... Radiology 234 (3), 793-803, 2005 | 93 | 2005 |
| Computer-aided nodule detection and volumetry to reduce variability between radiologists in the interpretation of lung nodules at low-dose screening computed tomography KN Jeon, JM Goo, CH Lee, Y Lee, JY Choo, NK Lee, MS Shim, IS Lee, ... Investigative radiology 47 (8), 457-461, 2012 | 86 | 2012 |
| Pulmonary nodular ground-glass opacities in patients with extrapulmonary cancers: what is their clinical significance and how can we determine whether they are malignant or … CM Park, JM Goo, TJ Kim, HJ Lee, KW Lee, CH Lee, YT Kim, KG Kim, ... Chest 133 (6), 1402-1409, 2008 | 84 | 2008 |
| Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images YR Park, YJ Kim, W Ju, K Nam, S Kim, KG Kim Scientific Reports 11 (1), 16143, 2021 | 80 | 2021 |
| Application of stereo-imaging technology to medical field KW Nam, J Park, IY Kim, KG Kim Healthcare informatics research 18 (3), 158-163, 2012 | 80 | 2012 |
| Deep learning H Kim Artificial Intelligence for 6G, 247-303, 2022 | 75 | 2022 |
| Iterative reconstruction of dual-source coronary CT angiography: assessment of image quality and radiation dose EA Park, W Lee, KW Kim, KG Kim, JW Chung, JH Park The international journal of cardiovascular imaging 28, 1775-1786, 2012 | 75 | 2012 |
| Correlation of 18F-FDG uptake with apparent diffusion coefficient ratio measured on standard and high b value diffusion MRI in head and neck cancer SH Choi, JC Paeng, CH Sohn, JR Pagsisihan, YJ Kim, KG Kim, JY Jang, ... Journal of Nuclear Medicine 52 (7), 1056-1062, 2011 | 75 | 2011 |
| Prediction models for high risk of suicide in Korean adolescents using machine learning techniques JS Jung, SJ Park, EY Kim, KS Na, YJ Kim, KG Kim PLoS one 14 (6), e0217639, 2019 | 70 | 2019 |
Jin Mo GooSeoul National University在 plaza.snu.ac.kr 的电子邮件经过验证
