受强制性开放获取政策约束的文章 - Il Yong Chun了解详情
无法在其他位置公开访问的文章：1 篇
Image-domain material decomposition using an iterative neural network for dual-energy CT
Z Li, IY Chun, Y Long
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 651-655, 2020
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：23 篇
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
Convolutional analysis operator learning: Acceleration and convergence
IY Chun, JA Fessler
IEEE Transactions on Image Processing, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Compressed sensing and parallel acquisition
IY Chun, B Adcock
IEEE Transactions on Information Theory 63 (8), 4860-4882, 2017
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
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
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
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
强制性开放获取政策： US Department of Defense, US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health, Natural Sciences and Engineering Research …
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
Application of trained Deep BCD-Net to iterative low-count PET image reconstruction
H Lim, YK Dewaraja, JA Fessler, IY Chun
Proc. IEEE NSS-MIC, 2018
强制性开放获取政策： US National Institutes of Health
Uniform recovery from subgaussian multi-sensor measurements
IY Chun, B Adcock
Applied and Computational Harmonic Analysis 48 (2), 731-765, 2020
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
Fast and convergent iterative image recovery using trained convolutional neural networks
IY Chun, H Lim, Z Huang, JA Fessler
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
强制性开放获取政策： US National Institutes of Health
Momentum-net for low-dose CT image reconstruction
S Ye, Y Long, IY Chun
2020 54th Asilomar Conference on Signals, Systems, and Computers, 1405-1409, 2020
强制性开放获取政策： 国家自然科学基金委员会
Optimal sparse recovery for multi-sensor measurements
IY Chun, B Adcock
2016 IEEE Information Theory Workshop (ITW), DOI: 10.1109/ITW.2016.7606838, 2016
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
Improved low count quantitative SPECT reconstruction with a trained deep learning based regularizer
H Lim, IY Chun, JA Fessler, YK Dewaraja
Journal of Nuclear Medicine 60 (supplement 1), 42-42, 2019
强制性开放获取政策： US National Institutes of Health
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