| Deep learning in medical imaging M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim Neurospine 16 (4), 657, 2019 | 281 | 2019 |
| Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approaches D Eun, R Jang, WS Ha, H Lee, SC Jung, N Kim Scientific Reports 10 (1), 13950, 2020 | 43 | 2020 |
| Prediction of osteoporosis from simple hip radiography using deep learning algorithm R Jang, JH Choi, N Kim, JS Chang, PW Yoon, CH Kim Scientific reports 11 (1), 19997, 2021 | 39 | 2021 |
| Emergency triage of brain computed tomography via anomaly detection with a deep generative model S Lee, B Jeong, M Kim, R Jang, W Paik, J Kang, WJ Chung, GS Hong, ... Nature communications 13 (1), 4251, 2022 | 25 | 2022 |
| Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning YG Kim, SM Lee, KH Lee, R Jang, JB Seo, N Kim European radiology 30, 4943-4951, 2020 | 24 | 2020 |
| Assessment of the robustness of convolutional neural networks in labeling noise by using chest X-ray images from multiple centers R Jang, N Kim, M Jang, KH Lee, SM Lee, KH Lee, HN Noh, JB Seo JMIR medical informatics 8 (8), e18089, 2020 | 14 | 2020 |
| Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type JE Park, D Eun, HS Kim, DH Lee, RW Jang, N Kim Scientific reports 11 (1), 9912, 2021 | 10 | 2021 |
| Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias D Park, R Jang, MJ Chung, HJ An, S Bak, E Choi, D Hwang Scientific Reports 13 (1), 13420, 2023 | 4 | 2023 |
| Generative adversarial network-based image conversion among different computed tomography protocols and vendors: effects on accuracy and variability in quantifying regional … HJ Hwang, H Kim, JB Seo, JC Ye, G Oh, SM Lee, R Jang, J Yun, N Kim, ... Korean Journal of Radiology 24 (8), 807, 2023 | 4 | 2023 |
| Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals K Kim, K Cho, R Jang, S Kyung, S Lee, S Ham, E Choi, GS Hong, N Kim Korean Journal of Radiology 25 (3), 224-242, 2024 | 2 | 2024 |
| Comparing chair stand test protocols: Fifth stand versus fifth sit S Ji, R Jang, H Roh, S Yoon, JY Baek, E Lee, IY Jang, HW Jung Geriatrics & Gerontology International 23 (12), 976-978, 2023 | 1 | 2023 |
| Learning representations by forward-propagating errors R Jang arXiv preprint arXiv:2308.09728, 2023 | | 2023 |
| Barcode Method for Generative Model Evaluation driven by Topological Data Analysis R Jang, M Kim, D Eun, K Cho, J Seo, N Kim arXiv preprint arXiv:2106.02207, 2021 | | 2021 |
| Homeostasis Equation: An Approach to Theoretical Medicine R Jang, S Ji bioRxiv, 2021.05. 22.445244, 2021 | | 2021 |
| 의료영상을 이용한 인공지능 분류 모델 성능을 향상시키기 위한 라벨 노이즈 및 영상 크기에 관한 연구 장령우 울산대학교 일반대학원 의과학과 의공학전공, 2021 | | 2021 |
| Does Generative Adversarial Network Ensure Diversity in Data? Morphologic Evaluation of Synthetic Isocitrate Dehydrogenase-Mutant Glioblastomas in A Clinical Diagnostic Model JE Park, D Eun, HS Kim, RW Jang, N Kim | | 2020 |
