Dongwook Lee

Orcid: 0000-0003-1373-505X

Affiliations:
  • KAIST, Department of Bio and Brain Engineering, Daejeon, South Korea


According to our database1, Dongwook Lee authored at least 13 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks.
Nat. Mach. Intell., 2020

2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN.
CoRR, 2019

CollaGAN: Collaborative GAN for Missing Image Data Imputation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.
IEEE Trans. Biomed. Eng., 2018

2017
Deep artifact learning for compressed sensing and parallel MRI.
CoRR, 2017

Deep residual learning for compressed sensing MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix.
IEEE Trans. Computational Imaging, 2016

Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Multiband dynamic compressed sensing.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014


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