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Eunju Cha
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Deep convolutional framelets: A general deep learning framework for inverse problems
JC Ye, Y Han, E Cha
SIAM Journal on Imaging Sciences 11 (2), 991-1048, 2018
2802018
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
152020
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
122021
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
122020
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images
MS Kang, E Cha, E Kang, JC Ye, NG Her, JW Oh, DH Nam, MH Kim, ...
Biomedical Signal Processing and Control 58, 101846, 2020
102020
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
Boosting CNN beyond label in inverse problems
E Cha, J Jang, J Lee, E Lee, JC Ye
arXiv preprint arXiv:1906.07330, 2019
82019
True temporal resolution TWIST imaging using annihilating filter-based low-rank wrap around Hankel matrix
E Cha, KH Jin, EY Kim, JC Ye
The International Society for Magnetic Resonance in Medicine. ISMRM, 2017
42017
DeepPhaseCut: deep relaxation in phase for unsupervised fourier phase retrieval
E Cha, C Lee, M Jang, JC Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
32021
Improved Time-Resolved MRA Using k-Space Deep Learning
E Cha, EY Kim, JC Ye
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
12018
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography
E Cha, EY Kim, JC Ye
arXiv preprint arXiv:1806.00806, 2018
12018
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, 2022
2022
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation
M Ko, E Cha, S Suh, H Lee, JJ Han, J Shin, B Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution
E Cha, H Chung, EY Kim, JC Ye
arXiv preprint arXiv:2003.13096, 2020
2020
BOOSTING ENCODER-DECODER CNN FOR INVERSE PROBLEMS
E Cha, J Jang, J Lee, E Lee, JC Ye
2019
Apparatus and method for reconstructing image using extended neural network
E Cha, YS Han, JC Ye
US, 2018
2018
Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach
EJ Cha, KH Jin, D Lee, EY Kim, SH Choi, JC Ye
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 314-317, 2016
2016
Improved Temporal Resolution TWIST Reconstruction using annihilating filter-based low rank Hankel matrix (ALOHA)
EJ Cha, KH Jin, D Lee, EY Kim, SH Choi, JC Ye
International Society for Magnetic Resonance in Medicine 2016, 2016
2016
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation Supplementary Document
M Ko, E Cha, S Suh, H Lee, JJ Han, J Shin, B Han
Improved TWIST Imaging using k-Space Deep Learning
E Cha, EY Kim, JC Ye
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Articles 1–20