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Hyungjin Chung
Hyungjin Chung
KAIST bio&brain engineering
Verified email at kaist.ac.kr
Title
Cited by
Cited by
Year
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
382020
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
132020
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
112021
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
92021
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
82020
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
6*2021
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
5*2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
H Chung, B Sim, JC Ye
arXiv preprint arXiv:2112.05146, 2021
52021
Score-based diffusion models for accelerated MRI
H Chung, JC Ye
arXiv preprint arXiv:2110.05243, 2021
52021
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
22022
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
22021
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
12021
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
H Chung, ES Lee, JC Ye
arXiv preprint arXiv:2203.12621, 2022
2022
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Articles 1–13