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Il Yong Chun
Il Yong Chun
Assistant Professor of ECE, AI, EEE, SCE, DCE, & CNIR, Sungkyunkwan University
Verified email at skku.edu - Homepage
Title
Cited by
Cited by
Year
Momentum-Net: Fast and convergent iterative neural network for inverse problems
IY Chun, Z Huang, H Lim, J Fessler
IEEE transactions on pattern analysis and machine intelligence, 2023
1032023
Convolutional dictionary learning: Acceleration and convergence
IY Chun, JA Fessler
IEEE Transactions on Image Processing 27 (4), 1697-1712, 2017
872017
Ranging and light field imaging with transparent photodetectors
MB Lien, CH Liu, IY Chun, S Ravishankar, H Nien, M Zhou, JA Fessler, ...
Nature Photonics 14 (3), 143-148, 2020
852020
DTI detection of longitudinal WM abnormalities due to accumulated head impacts
IY Chun, X Mao, EL Breedlove, LJ Leverenz, EA Nauman, TM Talavage
Developmental neuropsychology 40 (2), 92-97, 2015
742015
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery
IY Chun, JA Fessler
2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop …, 2018
622018
Improved low-count quantitative PET reconstruction with an iterative neural network
H Lim, IY Chun, YK Dewaraja, JA Fessler
IEEE Transactions on Medical Imaging, 2020
612020
Convolutional analysis operator learning: Acceleration and convergence
IY Chun, JA Fessler
IEEE Transactions on Image Processing, 2019
582019
Efficient Compressed Sensing SENSE pMRI Reconstruction with Joint Sparsity Promotion
IY Chun, B Adcock, T Talavage
Medical Imaging, IEEE Transactions on 35 (1), 354-368, 2015
532015
Compressed sensing and parallel acquisition
IY Chun, B Adcock
IEEE Transactions on Information Theory 63 (8), 4860-4882, 2017
432017
Every hit matters: white matter diffusivity changes in high school football athletes are correlated with repetitive head acceleration event exposure
I Jang, IY Chun, JR Brosch, S Bari, Y Zou, BR Cummiskey, TA Lee, ...
Neuroimage: clinical 24, 101930, 2019
382019
BCD-Net for low-dose CT reconstruction: Acceleration, convergence, and generalization
IY Chun, X Zheng, Y Long, JA Fessler
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
372019
Sparse-View X-Ray CT Reconstruction Using l1 Regularization with Learned Sparsifying Transform
IY Chun, X Zheng, Long, Yong, JA Fessler
14th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2017
242017
Neural network based 3D tracking with a graphene transparent focal stack imaging system
D Zhang, Z Xu, Z Huang, AR Gutierrez, CJ Blocker, CH Liu, MB Lien, ...
Nature Communications 12 (1), 2413, 2021
222021
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction
S Ravishankar, IY Chun, JA Fessler
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1859-1863, 2017
202017
Convolutional analysis operator learning: Dependence on training data
IY Chun, D Hong, B Adcock, JA Fessler
IEEE signal processing letters 26 (8), 1137-1141, 2019
182019
Sparse-View X-Ray CT Reconstruction Using Prior with Learned Transform
X Zheng, IY Chun, Z Li, Y Long, JA Fessler
arXiv preprint arXiv:1711.00905, 2017
172017
Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data
CJ Blocker, IY Chun, JA Fessler
2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop …, 2018
152018
Efficient compressed sensing statistical X-ray/CT reconstruction from fewer measurements
IY Chun, TM Talavage
12th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2013
142013
Convolutional analysis operator learning: Application to sparse-view CT
IY Chun, JA Fessler
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1631-1635, 2018
132018
Convergent convolutional dictionary learning using adaptive contrast enhancement (CDL-ACE): Application of CDL to image denoising
IY Chun, JA Fessler
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
132017
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