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ORCIDDongwook Lee 0005
Person information
- affiliation: KAIST, Department of Bio and Brain Engineering, Daejeon, South Korea
- not to be confused with: Dongwook Lee 0003
Other persons with the same name
- Dongwook Lee — disambiguation page
- Dongwook Lee 0001 — Samsung Electronics Company Ltd., Suwon, South Korea (and 2 more)
- Dongwook Lee 0002
![[0000-0001-9139-0611]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9139-0611")
— KAIST, Department of Information and Communications, Digital Media Laboratory, Daejeon, South Korea - Dongwook Lee 0003 — Korea Institute of Machinery and Materials, Department of Smart Industrial Machine Technologies, Daejeon, South Korea (and 1 more)
- Dongwook Lee 0004 — University of California Santa Cruz, CA, USA (and 1 more)
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2020 – today
- 2020
[j3]Dongwook Lee, Won-Jin Moon, Jong Chul Ye:
Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks. Nat. Mach. Intell. 2(1): 34-42 (2020)
2010 – 2019
- 2019
- [c8]Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye:
CollaGAN: Collaborative GAN for Missing Image Data Imputation. CVPR 2019: 2487-2496 - [i5]Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye:
CollaGAN : Collaborative GAN for Missing Image Data Imputation. CoRR abs/1901.09764 (2019) - [i4]Dongwook Lee, Won-Jin Moon, Jong Chul Ye:
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN. CoRR abs/1905.04105 (2019) - 2018
- [j2]Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye:
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks. IEEE Trans. Biomed. Eng. 65(9): 1985-1995 (2018) - [i3]Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye:
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks. CoRR abs/1804.00432 (2018) - 2017
- [c7]Dongwook Lee, Jaejun Yoo, Jong Chul Ye:
Deep residual learning for compressed sensing MRI. ISBI 2017: 15-18 - [i2]Dongwook Lee, Jaejun Yoo, Jong Chul Ye:
Deep artifact learning for compressed sensing and parallel MRI. CoRR abs/1703.01120 (2017) - 2016
- [j1]Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix. IEEE Trans. Computational Imaging 2(4): 480-495 (2016) - [c6]Kyong Hwan Jin, Dongwook Lee, Juyoung Lee, Jong Chul Ye:
Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. ICIP 2016: 968-972 - [c5]Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee, Eung-Yeop Kim, Seung Hong Choi, Jong Chul Ye:
Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. ISBI 2016: 314-317 - [c4]Kyong Hwan Jin, Juyoung Lee, Dongwook Lee, Jong Chul Ye:
Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix. ISBI 2016: 1388-1391 - 2015
- [c3]Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. ISBI 2015: 327-330 - [c2]Huisu Yoon, Dongwook Lee, Juyoung Lee, Seung Hong Choi, Sunghong Park, Jong Chul Ye:
Multiband dynamic compressed sensing. ISBI 2015: 922-925 - [i1]Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix. CoRR abs/1504.00532 (2015) - 2014
- [c1]Dongwook Lee, Eung-Yeop Kim, Huisu Yoon, Sunghong Park, Jong Chul Ye:
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. ISBI 2014: 645-648
Coauthor Index
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