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Hyungjin Chung
Hyungjin Chung
kaist.ac.kr의 이메일 확인됨 - 홈페이지
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Diffusion posterior sampling for general noisy inverse problems
H Chung, J Kim, MT Mccann, ML Klasky, JC Ye
International Conference on Learning Representations (ICLR), 2023
2612023
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
189*2022
Improving diffusion models for inverse problems using manifold constraints
H Chung, B Sim, D Ryu, JC Ye
Advances in Neural Information Processing Systems (NeurIPS), 2022
1872022
Score-based diffusion models for accelerated MRI
H Chung, JC Ye
Medical Image Analysis 80 (102479), 2022
1842022
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
842020
MR image denoising and super-resolution using regularized reverse diffusion
H Chung, ES Lee, JC Ye
IEEE Transactions on Medical Imaging 42 (4), 922-934, 2022
592022
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
52*2022
Parallel diffusion models of operator and image for blind inverse problems
H Chung, J Kim, S Kim, JC Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
392023
Solving 3d inverse problems using pre-trained 2d diffusion models
H Chung, D Ryu, MT McCann, ML Klasky, JC Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
362023
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
322021
Progressive deblurring of diffusion models for coarse-to-fine image synthesis
S Lee, H Chung, J Kim, JC Ye
NeurIPS 2022 Workshop on Score-Based Methods 16 2022, 2022
272022
Generative ai for medical imaging: extending the monai framework
WHL Pinaya, MS Graham, E Kerfoot, PD Tudosiu, J Dafflon, V Fernandez, ...
arXiv preprint arXiv:2307.15208, 2023
242023
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
20*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
192022
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
192021
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
182020
Fast diffusion sampler for inverse problems by geometric decomposition
H Chung, S Lee, JC Ye
arXiv preprint arXiv:2303.05754, 2023
172023
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
122020
Prompt-tuning latent diffusion models for inverse problems
H Chung, JC Ye, P Milanfar, M Delbracio
arXiv preprint arXiv:2310.01110, 2023
112023
Improving 3D imaging with pre-trained perpendicular 2D diffusion models
S Lee, H Chung, M Park, J Park, WS Ryu, JC Ye
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
112023
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학술자료 1–20