| 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 | 47 | 2020 |
| Score-based diffusion models for accelerated MRI H Chung, JC Ye Medical Image Analysis 80 (102479), 2022 | 41 | 2022 |
| Improving diffusion models for inverse problems using manifold constraints H Chung, B Sim, D Ryu, JC Ye arXiv preprint arXiv:2206.00941, 2022 | 27 | 2022 |
| Unsupervised deep learning methods for biological image reconstruction and enhancement: an overview from a signal processing perspective M Akçakaya, B Yaman, H Chung, JC Ye IEEE Signal Processing Magazine 39 (2), 28-44, 2022 | 26* | 2022 |
| Deep learning STEM-EDX tomography of nanocrystals Y Han, J Jang, E Cha, J Lee, H Chung, M Jeong, TG Kim, BG Chae, ... Nature Machine Intelligence 3 (3), 267-274, 2021 | 19 | 2021 |
| Unpaired training of deep learning tMRA for flexible spatio-temporal resolution E Cha, H Chung, EY Kim, JC Ye IEEE Transactions on Medical Imaging 40 (1), 166-179, 2020 | 19 | 2020 |
| Diffusion posterior sampling for general noisy inverse problems H Chung, J Kim, MT Mccann, ML Klasky, JC Ye arXiv preprint arXiv:2209.14687, 2022 | 16 | 2022 |
| Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction H Chung, B Sim, JC Ye Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
| Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data H Chung, E Cha, L Sunwoo, JC Ye Medical Image Analysis 71, 102047, 2021 | 13 | 2021 |
| Missing cone artifact removal in ODT using unsupervised deep learning in the projection domain H Chung, J Huh, G Kim, YK Park, JC Ye IEEE Transactions on Computational Imaging 7, 747-758, 2021 | 12* | 2021 |
| Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison JY Nam, HJ Chung, KS Choi, H Lee, TJ Kim, H Soh, EA Kang, SJ Cho, ... Gastrointestinal Endoscopy 95 (2), 258-268. e10, 2022 | 9 | 2022 |
| Deep learning fast MRI using channel attention in magnitude domain J Lee, H Kim, HJ Chung, JC Ye 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 917-920, 2020 | 8 | 2020 |
| MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion H Chung, ES Lee, JC Ye IEEE Transactions on Medical Imaging, 2022 | 7 | 2022 |
| Progressive deblurring of diffusion models for coarse-to-fine image synthesis S Lee, H Chung, J Kim, JC Ye arXiv preprint arXiv:2207.11192, 2022 | 7 | 2022 |
| Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning H Chung, J Kim, JH Yoon, JM Lee, JC Ye arXiv preprint arXiv:2105.00240, 2021 | 6 | 2021 |
| Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models H Chung, D Ryu, MT McCann, ML Klasky, JC Ye arXiv preprint arXiv:2211.10655, 2022 | 2 | 2022 |
| Parallel Diffusion Models of Operator and Image for Blind Inverse Problems H Chung, J Kim, S Kim, JC Ye arXiv preprint arXiv:2211.10656, 2022 | 2 | 2022 |
| Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN H Chung, JC Ye Nature Machine Intelligence 3 (10), 861-863, 2021 | 2 | 2021 |
| Low-Dose Sparse-View HAADF-STEM-EDX Tomography of Nanocrystals Using Unsupervised Deep Learning E Cha, H Chung, J Jang, J Lee, E Lee, JC Ye ACS nano 16 (7), 10314-10326, 2022 | 1 | 2022 |
| Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models S Lee, H Chung, M Park, J Park, WS Ryu, JC Ye arXiv preprint arXiv:2303.08440, 2023 | | 2023 |
Jong Chul YeProfessor and Endowed Chair, KAISTVerified email at kaist.ac.kr
