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2020 – today
- 2024
[j10]Hye Bin Yoo, Hyunmin Han, Sung Soo Hwang, Il Yong Chun
:
Improving Neural Radiance Fields Using Near-Surface Sampling with Point Cloud Generation. Neural Process. Lett. 56(4): 214 (2024)- [i21]Yun Su Jeong, Hye Bin Yoo, Il Yong Chun:
DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s). CoRR abs/2409.08850 (2024) - 2023
- [j9]Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler:
Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4915-4931 (2023) - [j8]Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun:
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. IEEE Trans. Intell. Transp. Syst. 24(3): 2800-2813 (2023) - [i20]Jin Bok Park, Jinkyu Lee, Muhyun Back, Hyunmin Han, David T. Ma, Sang Min Won, Sung Soo Hwang, Il Yong Chun:
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data. CoRR abs/2308.14329 (2023) - [i19]Hye Bin Yoo, Hyunmin Han, Sung Soo Hwang, Il Yong Chun:
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation. CoRR abs/2310.04152 (2023) - 2022
- [i18]Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya:
Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR abs/2204.07923 (2022) - [i17]Il Yong Chun, Dongwon Park, Xuehang Zheng, Se Young Chun, Yong Long:
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging. CoRR abs/2205.04821 (2022) - 2021
- [i16]Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun:
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. CoRR abs/2104.00169 (2021) - [i15]Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun:
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. CoRR abs/2105.00114 (2021) - 2020
- [j7]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Acceleration and Convergence. IEEE Trans. Image Process. 29: 2108-2122 (2020) - [j6]Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler:
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network. IEEE Trans. Medical Imaging 39(11): 3512-3522 (2020) - [c14]Siqi Ye, Yong Long, Il Yong Chun:
Momentum-Net for Low-Dose CT Image Reconstruction. ACSSC 2020: 1405-1409 - [c13]Zhengyu Huang, Jeffrey A. Fessler, Theodore B. Norris, Il Yong Chun:
Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. ICASSP 2020: 8648-8652 - [c12]Zhipeng Li, Il Yong Chun, Yong Long:
Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT. ISBI 2020: 651-655 - [i14]Siqi Ye, Yong Long, Il Yong Chun:
Momentum-Net for Low-Dose CT Image Reconstruction. CoRR abs/2002.12018 (2020) - [i13]Zhipeng Li, Yong Long, Il Yong Chun:
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT. CoRR abs/2012.01986 (2020)
2010 – 2019
- 2019
- [j5]Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Dependence on Training Data. IEEE Signal Process. Lett. 26(8): 1137-1141 (2019) - [c11]Caroline Crockett, David Hong, Il Yong Chun, Jeffrey A. Fessler:
Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems. CAMSAP 2019: 316-320 - [c10]Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler:
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. MICCAI (6) 2019: 31-40 - [i12]Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Dependence on Training Data. CoRR abs/1902.08267 (2019) - [i11]Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler:
Improved low-count quantitative PET reconstruction with a variational neural network. CoRR abs/1906.02327 (2019) - [i10]Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler:
Momentum-Net: Fast and convergent iterative neural network for inverse problems. CoRR abs/1907.11818 (2019) - [i9]Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler:
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization. CoRR abs/1908.01287 (2019) - 2018
- [j4]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Dictionary Learning: Acceleration and Convergence. IEEE Trans. Image Process. 27(4): 1697-1712 (2018) - [c9]Il Yong Chun, Jeffrey A. Fessler:
Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). ACSSC 2018: 1631-1635 - [c8]Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A. Fessler:
Fast and convergent iterative image recovery using trained convolutional neural networks. Allerton 2018: 155-159 - [c7]Cameron J. Blocker, Il Yong Chun, Jeffrey A. Fessler:
Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data. IVMSP 2018: 1-5 - [c6]Il Yong Chun, Jeffrey A. Fessler:
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. IVMSP 2018: 1-5 - [i8]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. CoRR abs/1802.05584 (2018) - [i7]Il Yong Chun, Jeffrey A. Fessler:
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. CoRR abs/1802.07129 (2018) - 2017
- [j3]Il Yong Chun, Ben Adcock:
Compressed Sensing and Parallel Acquisition. IEEE Trans. Inf. Theory 63(8): 4860-4882 (2017) - [c5]Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler:
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC 2017: 1859-1863 - [i6]Il Yong Chun, Jeffrey A. Fessler:
Convolutional Dictionary Learning: Acceleration and Convergence. CoRR abs/1707.00389 (2017) - [i5]Xuehang Zheng, Il Yong Chun, Zhipeng Li, Yong Long, Jeffrey A. Fessler:
Sparse-View X-Ray CT Reconstruction Using 𝓵1 Prior with Learned Transform. CoRR abs/1711.00905 (2017) - 2016
- [j2]Il Yong Chun, Song Noh, David J. Love, Thomas M. Talavage, Stephen Beckley, Sherman J. Kisner:
Mean Squared Error Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction. IEEE Trans. Computational Imaging 2(4): 424-439 (2016) - [j1]Il Yong Chun, Ben Adcock, Thomas M. Talavage:
Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion. IEEE Trans. Medical Imaging 35(1): 354-368 (2016) - [c4]Il Yong Chun, Chen Li, Ben Adcock:
Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees. ICME Workshops 2016: 1-6 - [c3]Il Yong Chun, Ben Adcock:
Optimal sparse recovery for multi-sensor measurements. ITW 2016: 270-274 - [i4]Il Yong Chun, Ben Adcock:
Compressed sensing and parallel acquisition. CoRR abs/1601.06214 (2016) - [i3]Il Yong Chun, Ben Adcock:
Optimal Sparse Recovery for Multi-Sensor Measurements. CoRR abs/1603.06934 (2016) - [i2]Il Yong Chun, Chen Li, Ben Adcock:
Sparsity and Parallel Acquisition: Optimal Uniform and Nonuniform Recovery Guarantees. CoRR abs/1603.08050 (2016) - [i1]Il Yong Chun, Ben Adcock:
Uniform Recovery from Subgaussian Multi-Sensor Measurements. CoRR abs/1610.05758 (2016) - 2014
- [c2]Il Yong Chun, Ben Adcock, Thomas M. Talavage:
Efficient compressed sensing SENSE parallel MRI reconstruction with joint sparsity promotion and mutual incoherence enhancement. EMBC 2014: 2424-2427 - [c1]Il Yong Chun, Ben Adcock, Thomas M. Talavage:
Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier slice theorem. EMBC 2014: 5141-5144
Coauthor Index
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