| Deep Learning in Medical Imaging M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim Neurospine 16 (4), 657, 2019 | 304 | 2019 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 172 | 2022 |
| Deep learning applications in chest radiography and computed tomography: current state of the art SM Lee, JB Seo, J Yun, YH Cho, J Vogel-Claussen, ML Schiebler, ... Journal of thoracic imaging 34 (2), 75-85, 2019 | 123 | 2019 |
| Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net J Yun, J Park, D Yu, J Yi, M Lee, HJ Park, JG Lee, JB Seo, N Kim Medical image analysis 51, 13-20, 2019 | 118 | 2019 |
| Fully automated lung lobe segmentation in volumetric chest CT with 3D U-Net: validation with intra-and extra-datasets J Park, J Yun, N Kim, B Park, Y Cho, HJ Park, M Song, M Lee, JB Seo Journal of digital imaging 33, 221-230, 2020 | 107 | 2020 |
| Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT J Choe, HJ Hwang, JB Seo, SM Lee, J Yun, MJ Kim, J Jeong, Y Lee, K Jin, ... Radiology 302 (1), 187-197, 2022 | 93 | 2022 |
| Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma J Yun, JE Park, H Lee, S Ham, N Kim, HS Kim Scientific reports 9 (1), 5746, 2019 | 89 | 2019 |
| Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status CH Suh, KH Lee, YJ Choi, SR Chung, JH Baek, JH Lee, J Yun, S Ham, ... Scientific reports 10 (1), 17525, 2020 | 51 | 2020 |
| Fast high-quality volume ray casting with virtual samplings B Lee, J Yun, J Seo, B Shim, YG Shin, B Kim IEEE Transactions on visualization and computer graphics 16 (6), 1525-1532, 2010 | 46 | 2010 |
| Development of machine learning-based clinical decision support system for hepatocellular carcinoma GH Choi, J Yun, J Choi, D Lee, JH Shim, HC Lee, YH Chung, YS Lee, ... Scientific reports 10 (1), 14855, 2020 | 38 | 2020 |
| Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma JE Park, S Ham, HS Kim, SY Park, J Yun, H Lee, SH Choi, N Kim European Radiology 31, 3127-3137, 2021 | 32 | 2021 |
| Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test HY Park, HJ Bae, GS Hong, M Kim, J Yun, S Park, WJ Chung, NK Kim JMIR Medical Informatics 9 (3), e23328, 2021 | 27 | 2021 |
| Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification MS Kim, J Choe, HJ Hwang, SM Lee, J Yun, N Kim, MS Ko, J Yi, D Yu, ... European Journal of Radiology 157, 110564, 2022 | 17 | 2022 |
| GazeVis: interactive 3D gaze visualization for contiguous cross-sectional medical images H Song, J Yun, B Kim, J Seo IEEE transactions on visualization and computer graphics 20 (5), 726-739, 2013 | 17 | 2013 |
| Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease J Yun, YH Cho, SM Lee, J Hwang, JS Lee, YM Oh, SD Lee, LC Loh, ... Scientific reports 11 (1), 15144, 2021 | 16 | 2021 |
| Radiomics approach for survival prediction in chronic obstructive pulmonary disease YH Cho, JB Seo, SM Lee, N Kim, J Yun, JE Hwang, JS Lee, YM Oh, ... European radiology 31, 7316-7324, 2021 | 15 | 2021 |
| Deep learning–based approach to predict pulmonary function at chest CT H Park, J Yun, SM Lee, HJ Hwang, JB Seo, YJ Jung, J Hwang, SH Lee, ... Radiology 307 (2), e221488, 2023 | 14 | 2023 |
| Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitis JS Lee, J Yun, S Ham, H Park, H Lee, J Kim, JS Byeon, HY Jung, N Kim, ... Scientific Reports 11 (1), 3672, 2021 | 13 | 2021 |
| Artificial intelligence in lung imaging J Choe, SM Lee, HJ Hwang, J Yun, N Kim, JB Seo Seminars in Respiratory and Critical Care Medicine 43 (06), 946-960, 2022 | 10 | 2022 |
| An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research S Kim, S Cho, K Cho, J Seo, Y Nam, J Park, K Kim, D Kim, J Hwang, J Yun, ... Korean Journal of Radiology 22 (12), 2073, 2021 | 9 | 2021 |
