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Showing results 1 to 15 of 15

1
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

Kang, Eunhee; Chang, Won; Yoo, Jaejun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06

2
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval

Cha, Eunju; Lee, Chanseok; Jang, Mooseok; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9931 - 9943, 2022-12

3
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

Han, Yoseob; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1418 - 1429, 2018-06

4
Fully 3D iterative scatter-corrected OSEM for HRRT PET using a GPU

Kim, Kyung Sang; Ye, Jong Chul, PHYSICS IN MEDICINE AND BIOLOGY, v.56, no.15, pp.4991 - 5009, 2011-08

5
Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy

Min, Junhong; Jin, Kyong Hwan; Unser, Michael; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.10, pp.4771 - 4786, 2018-10

6
Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation

Ward, John Paul; Lee, Minji; Ye, Jong-Chul; Unser, Michael, SIAM JOURNAL ON IMAGING SCIENCES, v.8, no.1, pp.226 - 247, 2015

7
Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

Lee, Minji; Han, Yoseob; Ward, John Paul; Unser, Michael; Ye, Jong Chul, SIAM JOURNAL ON IMAGING SCIENCES, v.8, no.4, pp.2452 - 2486, 2015

8
Metal artifact reduction in CT by identifying missing data hidden in metals

Park, Hyoung Suk; Choi, Jae Kyu; Park, Kyung-Ran; Kim, Kyung Sang; Lee, Sang-Hwy; Ye, Jong Chul; Seo, Jin Keun, JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, v.21, no.3, pp.357 - 372, 2013-09

9
Modified distorted Born iterative method with an approximate Frechet derivative for optical diffusion tomography

Ye, Jong Chul; Webb, KJ; Millane, RP; Downar, TJ, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, v.16, no.7, pp.1814 - 1826, 1999-07

10
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI

Yoon, Huisu; Kim, Kyung Sang; Kim, Daniel; Bresler, Yoram; Ye, Jong-Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.33, no.11, pp.2069 - 2085, 2014-11

11
Nonlinear multigrid algorithms for Bayesian optical diffusion tomography

Ye, Jong Chul; Bouman, CA; Webb, KJ; Millane, RP, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.10, no.6, pp.909 - 922, 2001-06

12
One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection

Han, Yoseob; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.12, pp.E855 - E872, 2019-12

13
Optical diffusion tomography by iterative-coordinate-descent optimization in a Bayesian framework

Ye, Jong Chul; Webb, KJ; Bouman, CA; Millane, RP, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, v.16, no.10, pp.2400 - 2412, 1999-10

14
Sparsity driven metal part reconstruction for artifact removal in dental CT

Choi, Ji-Young; Kim, Kyung-Sang; Kim, Min-Woo; Seong, Won; Ye, Jong-Chul, JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, v.19, no.4, pp.457 - 475, 2011-10

15
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation

Oh, Gyutaek; Lee, Jeong Eun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3125 - 3139, 2021-11

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