| Unpaired deep learning for accelerated MRI using optimal transport driven CycleGAN G Oh, B Sim, HJ Chung, L Sunwoo, JC Ye IEEE Transactions on Computational Imaging 6, 1285-1296, 2020 | 108 | 2020 |
| Optimal transport driven CycleGAN for unsupervised learning in inverse problems B Sim, G Oh, J Kim, C Jung, JC Ye SIAM Journal on Imaging Sciences 13 (4), 2281-2306, 2020 | 75 | 2020 |
| Unpaired MR motion artifact deep learning using outlier-rejecting bootstrap aggregation G Oh, JE Lee, JC Ye IEEE Transactions on Medical Imaging 40 (11), 3125-3139, 2021 | 55* | 2021 |
| Optimal transport, cyclegan, and penalized ls for unsupervised learning in inverse problems B Sim, G Oh, S Lim, JC Ye arXiv preprint arXiv:1909.12116, 2019 | 24 | 2019 |
| Geometric approaches to increase the expressivity of deep neural networks for MR reconstruction E Cha, G Oh, JC Ye IEEE Journal of Selected Topics in Signal Processing 14 (6), 1292-1305, 2020 | 15 | 2020 |
| Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization G Oh, H Bae, HS Ahn, SH Park, WJ Moon, JC Ye Medical Image Analysis 79, 102477, 2022 | 13 | 2022 |
| 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 | 11 | 2023 |
| Annealed score-based diffusion model for mr motion artifact reduction G Oh, S Jung, JE Lee, JC Ye IEEE Transactions on Computational Imaging, 2023 | 10 | 2023 |
| Optimal transport structure of CycleGAN for unsupervised learning for inverse problems B Sim, G Oh, JC Ye ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Multi-domain CT translation by a routable translation network H Kim, G Oh, JB Seo, HJ Hwang, SM Lee, J Yun, JC Ye Physics in Medicine & Biology 67 (21), 215002, 2022 | 8 | 2022 |
| CycleQSM: Unsupervised QSM deep learning using physics-informed cycleGAN G Oh, H Bae, HS Ahn, SH Park, JC Ye arXiv preprint arXiv:2012.03842, 2020 | 7 | 2020 |
| scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain G Oh, B Choi, I Jung, JC Ye arXiv preprint arXiv:2310.02713, 2023 | 6 | 2023 |
| Unsupervised learning for compressed sensing MRI using cycleGAN G Oh, B Sim, JC Ye 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1082-1085, 2020 | 6 | 2020 |
| End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography J Oh, B Kim, G Oh, Y Hwangbo, JC Ye Endocrinology and Metabolism (Seoul, Korea), 2024 | 2 | 2024 |
| Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements G Oh, Y Moon, WJ Moon, JC Ye NeuroImage 291, 120571, 2024 | 1 | 2024 |
| Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI G Oh, WJ Moon, JC Ye arXiv preprint arXiv:2306.04339, 2023 | 1 | 2023 |
| Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion J Choe, HJ Hwang, MS Kim, JC Ye, G Oh, SM Lee, J Yun, HY Lee, JS Sun, ... European Journal of Radiology 183, 111899, 2025 | | 2025 |
| Medical image synthesis and reconstruction using generative adversarial networks G Oh, JC Ye Deep Learning for Medical Image Analysis, 225-245, 2024 | | 2024 |
| Quantitative susceptibility mapping image processing method using neural network based on unsupervised learning and apparatus therefor YE JongChul, G Oh US Patent App. 17/711,944, 2022 | | 2022 |
| Unsupervised learning method for general inverse problem and apparatus therefor YE JongChul, B Sim, G Oh US Patent App. 17/332,696, 2022 | | 2022 |
Jong Chul YeProfessor, Chung Moon Soul Mirae Endowed Chair, KAISTkaist.ac.kr üzerinde doğrulanmış e-posta adresine sahip