Efficient compressed sensing SENSE parallel MRI reconstruction with joint sparsity promotion and mutual incoherence enhancement. - Il Yong Chun; Ben Adcock; Thomas M. Talavage (EMBC, 2014)

Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier slice theorem. - Il Yong Chun; Ben Adcock; Thomas M. Talavage (EMBC, 2014)

Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees. - Il Yong Chun; Chen Li; Ben Adcock (ICME Workshops, 2016)

Optimal sparse recovery for multi-sensor measurements. - Il Yong Chun; Ben Adcock (ITW, 2016)

Uniform Recovery from Subgaussian Multi-Sensor Measurements. - Il Yong Chun; Ben Adcock (CoRR, 2016)

Mean Squared Error Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction. - Il Yong Chun; Song Noh; David J. Love; Thomas M. Talavage; Stephen Beckley; Sherman J. Kisner (IEEE Trans. Computational Imaging, 2016)

Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion. - Il Yong Chun; Ben Adcock; Thomas M. Talavage (IEEE Trans. Medical Imaging, 2016)

Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. - Saiprasad Ravishankar; Il Yong Chun; Jeffrey A. Fessler (ACSSC, 2017)

Sparse-View X-Ray CT Reconstruction Using 𝓵1 Prior with Learned Transform. - Xuehang Zheng; Il Yong Chun; Zhipeng Li 003; Yong Long; Jeffrey A. Fessler (CoRR, 2017)

Compressed Sensing and Parallel Acquisition. - Il Yong Chun; Ben Adcock (IEEE Trans. Inf. Theory, 2017)

Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). - Il Yong Chun; Jeffrey A. Fessler (ACSSC, 2018)

Fast and convergent iterative image recovery using trained convolutional neural networks. - Il Yong Chun; Hongki Lim; Zhengyu Huang; Jeffrey A. Fessler (Allerton, 2018)

Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data. - Cameron J. Blocker; Il Yong Chun; Jeffrey A. Fessler (IVMSP, 2018)

Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. - Il Yong Chun; Jeffrey A. Fessler (IVMSP, 2018)

Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. - Il Yong Chun; Jeffrey A. Fessler (CoRR, 2018)

Convolutional Dictionary Learning: Acceleration and Convergence. - Il Yong Chun; Jeffrey A. Fessler (IEEE Trans. Image Process., 2018)

Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems. - Caroline Crockett; David Hong; Il Yong Chun; Jeffrey A. Fessler (CAMSAP, 2019)

BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. - Il Yong Chun; Xuehang Zheng; Yong Long; Jeffrey A. Fessler (MICCAI (6), 2019)

Improved low-count quantitative PET reconstruction with a variational neural network. - Hongki Lim; Il Yong Chun; Yuni K. Dewaraja; Jeffrey A. Fessler (CoRR, 2019)

Convolutional Analysis Operator Learning: Dependence on Training Data. - Il Yong Chun; David Hong; Ben Adcock; Jeffrey A. Fessler (IEEE Signal Process. Lett., 2019)

Momentum-Net for Low-Dose CT Image Reconstruction. - Siqi Ye; Yong Long; Il Yong Chun (ACSSC, 2020)

Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. - Zhengyu Huang; Jeffrey A. Fessler; Theodore B. Norris; Il Yong Chun (ICASSP, 2020)

Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT. - Zhipeng Li 003; Il Yong Chun; Yong Long (ISBI, 2020)

An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT. - Zhipeng Li 003; Yong Long; Il Yong Chun (CoRR, 2020)

Convolutional Analysis Operator Learning: Acceleration and Convergence. - Il Yong Chun; Jeffrey A. Fessler (IEEE Trans. Image Process., 2020)

Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network. - Hongki Lim; Il Yong Chun; Yuni K. Dewaraja; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2020)

Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. - Muhyun Back; Jinkyu Lee; Kyuho Bae; Sung Soo Hwang; Il Yong Chun (CoRR, 2021)

Accelerated MRI With Deep Linear Convolutional Transform Learning. - Hongyi Gu; Burhaneddin Yaman; Steen Moeller; Il Yong Chun; Mehmet Akçakaya (CoRR, 2022)

Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging. - Il Yong Chun; Dongwon Park; Xuehang Zheng; Se Young Chun; Yong Long (CoRR, 2022)

End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data. - Jin Bok Park; Jinkyu Lee; Muhyun Back; Hyunmin Han; David T. Ma; Sang Min Won; Sung Soo Hwang; Il Yong Chun (CoRR, 2023)

Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation. - Hye Bin Yoo; Hyunmin Han; Sung Soo Hwang; Il Yong Chun (CoRR, 2023)

Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. - Jinkyu Lee; Muhyun Back; Sung Soo Hwang; Il Yong Chun (IEEE Trans. Intell. Transp. Syst., 2023)

Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. - Il Yong Chun; Zhengyu Huang; Hongki Lim; Jeffrey A. Fessler (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

An Efficient and Effective Sea Turtle Detection Using Positioning Enhancement Module. - Muhamad Dwisnanto Putro; Dirko G. S. Ruindungan; Rendy Syahputra; Tae-Hyun Oh; Il Yong Chun; Vecky Canisius Poekoel (IWIS, 2024)

Improving Light Field Reconstruction from Limited Focal Stack Using Diffusion Models. - Hyung Sup Yun; Il Yong Chun (MLSP, 2024)

LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection. - U. Jin Jeong; Sumin Roh; Il Yong Chun (CoRR, 2024)

Improving Neural Radiance Fields Using Near-Surface Sampling with Point Cloud Generation. - Hye Bin Yoo; Hyunmin Han; Sung Soo Hwang; Il Yong Chun (Neural Process. Lett., 2024)

MAMS: Model-Agnostic Module Selection Framework for Video Captioning. - Sangho Lee; Il Yong Chun; Hogun Park (AAAI, 2025)

DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s). - Yun Su Jeong; Hye Bin Yoo; Il Yong Chun (ICASSP, 2025)

Autoregression-free video prediction using diffusion model for mitigating error propagation. - Woonho Ko; Jin Bok Park; Il Yong Chun (CoRR, 2025)