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Dongwook Lee
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A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix
KH Jin, D Lee, JC Ye
IEEE Transactions on Computational Imaging 2 (4), 480-495, 2016
2022016
Deep residual learning for accelerated MRI using magnitude and phase networks
D Lee, J Yoo, S Tak, JC Ye
IEEE Transactions on Biomedical Engineering 65 (9), 1985-1995, 2018
1962018
Acceleration of MR parameter mapping using annihilating filter‐based low rank hankel matrix (ALOHA)
D Lee, KH Jin, EY Kim, SH Park, JC Ye
Magnetic resonance in medicine 76 (6), 1848-1864, 2016
912016
CollaGAN: Collaborative GAN for missing image data imputation
D Lee, J Kim, WJ Moon, JC Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
822019
Deep artifact learning for compressed sensing and parallel MRI
D Lee, J Yoo, JC Ye
arXiv preprint arXiv:1703.01120, 2017
492017
MRI artifact correction using sparse+ low‐rank decomposition of annihilating filter‐based Hankel matrix
KH Jin, JY Um, D Lee, J Lee, SH Park, JC Ye
Magnetic resonance in medicine 78 (1), 327-340, 2017
412017
A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI
KH Jin, D Lee, JC Ye
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 327-330, 2015
192015
Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks
D Lee, WJ Moon, JC Ye
Nature Machine Intelligence 2 (1), 34-42, 2020
182020
Compressed sensing and parallel MRI using deep residual learning
D Lee, J Yoo, JC Ye
International Society for Magnetic Resonance in Medicine, 2017
122017
Which contrast does matter? towards a deep understanding of mr contrast using collaborative gan
D Lee, WJ Moon, JC Ye
arXiv preprint arXiv:1905.04105, 2019
102019
Accelerated projection reconstruction MR imaging using deep residual learning
YS Han, D Lee, J Yoo, JC Ye
International Society for Magnetic Resonance in Medicine, 2017
72017
Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix
KH Jin, J Lee, D Lee, JC Ye
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1388-1391, 2016
32016
RaScaNet: Learning Tiny Models by Raster-Scanning Images
J Yoo, D Lee, C Son, S Jung, BI Yoo, C Choi, JJ Han, B Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
Multiband dynamic compressed sensing
H Yoon, D Lee, J Lee, SH Choi, SH Park, JC Ye
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 922-925, 2015
12015
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty
D Lee, EY Kim, H Yoon, S Park, JC Ye
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 645-648, 2014
12014
Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation
KH Jin, D Lee, J Lee, JC Ye
2016 IEEE International Conference on Image Processing (ICIP), 968-972, 2016
2016
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
MR artifacts removal using sparse+ low rank decomposition of annihilating filter based Hankel matrix
KH Jin, D Lee, PK Han, J Lee, SH Park, JC Ye
International Society for Magnetic Resonance in Medicine 2016, 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
In vivo accelerated MR parameter mapping using annihilating filter-based low rank Hankel matrix (ALOHA)
D Lee, KH Jin, E Kim, S Park, JC Ye
International Society for Magnetic Resonance in Medicine 2016, 2016
2016
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학술자료 1–20