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Showing results 1 to 8 of 8

1
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media

Yoo, Jaejun; Jung, Younghoon; Lim, Mikyoung; Ye, Jong Chul; Wahab, Abdul, SIAM JOURNAL ON IMAGING SCIENCES, v.10, no.3, pp.1104 - 1138, 2017

2
A non-iterative method for the electrical impedance tomography based on joint sparse recovery

Lee, Ok Kyun; Kang, Hyeonbae; Ye, Jong Chul; Lim, Mikyoung, INVERSE PROBLEMS, v.31, no.7, 2015-07

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
Beyond Born-Rytov limit for super-resolution optical diffraction tomography

Lim, JooWon; Wahab, Abdul; Park, GwangSik; Lee, Kyeo Reh; Park, Yong Keun; Ye, Jong Chul, OPTICS EXPRESS, v.25, no.24, pp.30445 - 30458, 2017-11

5
Compressed sensing shape estimation of star-shaped objects in Fourier imaging

Ye, Jong Chul, IEEE SIGNAL PROCESSING LETTERS, v.14, pp.750 - 753, 2007-10

6
Deep learning for tomographic image reconstruction

Wang, Ge; Ye, Jong Chul; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12

7
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

8
Joint sparsity-driven non-iterative simultaneous reconstruction of absorption and scattering in diffuse optical tomography

Lee, Okkyun; Ye, Jong Chul, OPTICS EXPRESS, v.21, no.22, pp.26589 - 26604, 2013-11

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