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Showing results 1 to 6 of 6

1
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix

Jin, Kyong Hwan; Lee, Dong Wook; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.2, no.4, pp.480 - 495, 2016-12

2
Acceleration of MR Parameter Mapping Using Annihilating Filter-Based Low Rank Hankel Matrix (ALOHA)

Lee, Dong Wook; Jin, Kyong Hwan; Kim, Eung Yeop; Park, Sung-Hong; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.76, no.6, pp.1848 - 1864, 2016-12

3
Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting

Jin, Kyong Hwan; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.24, no.11, pp.3498 - 3511, 2015-11

4
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

Ye, Jong Chul; Kim, Jong Min; Jin, Kyong Hwan; Lee, Kiryung, IEEE TRANSACTIONS ON INFORMATION THEORY, v.63, no.2, pp.777 - 801, 2017-02

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
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning

Jacob, Mathews; Mani, Merry P.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.54 - 68, 2020-01

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