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Showing results 1 to 7 of 7

1
Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks

Lee, Dongwook; Moon, Won-Jin; Ye, Jong Chul, Nature Machine Intelligence, v.2, no.1, pp.34 - 42, 2020-01

2
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks

Lee, Dongwook; Yoo, Jaejun; Tak, Sungho; Ye, Jong Chul, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.65, no.9, pp.1985 - 1995, 2018-09

3
Deep residual learning for compressed sensing MRI

Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The IEEE International Symposium on Biomedical Imaging , IEEE, 2017-04

4
Method of replacing missing image data by using neural network and apparatus thereof

Ye, Jong Chul; Lee, Dongwook

5
MRI artifact correction using sparse plus low-rank decomposition of annihilating filter-based hankel matrix

Jin, Kyong Hwan; Um, Ji-Yong; Lee, Dongwook; Lee, Juyoung; Park, Sung-Hong; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.78, no.1, pp.327 - 340, 2017-07

6
Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix

Jin, Kyong Hwan; Lee, Juyoung; Lee, Dongwook; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, IEEE, 2016-04-16

7
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty

Lee, Dongwook; Kim, Eung Yeop; Yoon, Huisu; Park, Sung-Hong; Ye, Jong Chul, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.645 - 648, Institute of Electrical and Electronics Engineers Inc., 2014-04

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