| AdaIN-based tunable CycleGAN for efficient unsupervised low-dose CT denoising J Gu, JC Ye IEEE Transactions on Computational Imaging 7, 73-85, 2021 | 77 | 2021 |
| Multi-scale wavelet domain residual learning for limited-angle CT reconstruction J Gu, JC Ye arXiv preprint arXiv:1703.01382, 2017 | 71 | 2017 |
| Unsupervised CT metal artifact learning using attention-guided β-CycleGAN J Lee, J Gu, JC Ye IEEE Transactions on Medical Imaging 40 (12), 3932-3944, 2021 | 48 | 2021 |
| CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement J Gu, TS Yang, JC Ye, DH Yang Medical image analysis 74, 102209, 2021 | 42 | 2021 |
| Deep learning interior tomography for region-of-interest reconstruction Y Han, J Gu, JC Ye arXiv preprint arXiv:1712.10248, 2017 | 27 | 2017 |
| Cxr-clip: Toward large scale chest x-ray language-image pre-training K You, J Gu, J Ham, B Park, J Kim, EK Hong, W Baek, B Roh International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 14 | 2023 |
| Translational motion correction algorithm for truncated cone-beam CT using opposite projections J Gu, W Bae, JC Ye Journal of X-ray science and technology 25 (6), 927-944, 2017 | 9 | 2017 |
| CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling J Gu, HC Cho, J Kim, K You, EK Hong, B Roh arXiv preprint arXiv:2401.11505, 2024 | 1 | 2024 |
| Deep learning based image restoration algorithm for CT images from imperfect acquisition conditions J Gu 한국과학기술원, 2021 | | 2021 |
| (A) rigid motion compensation using registration of opposite projections for cone-beam CT J Gu 한국과학기술원, 2016 | | 2016 |
