Kyong Hwan Jin

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Jong Chul YeProfessor and Endowed Chair, KAISTVerified email at kaist.ac.kr
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandVerified email at epfl.ch
Dongwook LeeSAIT, Samsung ElectronicsVerified email at samsung.com
Michael T. McCannLos Alamos National LaboratoryVerified email at lanl.gov
Harshit GuptaSoftware Engineer (Augmented Reality), GoogleVerified email at google.com
Jaewon LeeCircuits And Systems for Signal Processing (CASSP), DGISTVerified email at dgist.ac.kr
Ha Q. NguyenVingroup Big Data InstituteVerified email at vingroup.net
Kwang Moo YiAssistant Professor of Computer Science at the University of British ColumbiaVerified email at cs.ubc.ca
Kiryung LeeAssistant Professor, The Ohio State UniversityVerified email at osu.edu
Jaejun YooAssistant Professor, Laboratory of Advanced Imaging Technology (LAIT), UNISTVerified email at unist.ac.kr
Eunju ChaAssistant Professor, Dept. of Electrical Engineering, Sookmyung Women's UniversityVerified email at sookmyung.ac.kr
Kwang Pyo ChoiSamsung ResearchVerified email at samsung.com
Woo Kyoung HanDGISTVerified email at dgist.ac.kr
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South KoreaVerified email at dgist.ac.kr
Minsu KimNAVER LABSVerified email at naverlabs.com
Jaesik ParkSeoul National University, CSE & IPAIVerified email at snu.ac.kr
Kilian M. PohlAssociate Professor, Department of Psychiatry and Behavioral Sciences, Stanford UniversityVerified email at stanford.edu
Ehsan AdeliStanford UniversityVerified email at stanford.edu
Sunghoon ImEECS, DGISTVerified email at dgist.ac.kr

Kyong Hwan Jin

Associate Professor of EE, Korea University

Verified email at korea.ac.kr - Homepage

image processing machine learning inverse problems signal processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep convolutional neural network for inverse problems in imaging KH Jin, MT McCann, E Froustey, M Unser IEEE Transactions on Image Processing 26 (9), 4509-4522, 2017	2068	2017
Convolutional Neural Networks for Inverse Problems in Imaging: A Review MT McCann, KH Jin, M Unser IEEE Signal Processing Magazine 34 (6), 85-95, 2017	665	2017
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction H Gupta, KH Jin, HQ Nguyen, MT McCann, M Unser IEEE Transactions on Medical Imaging 37 (6), 1440-1453, 2018	352	2018
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix KH Jin, D Lee, JC Ye IEEE Transactions on Computational Imaging 2 (4), 480-495, 2016	263	2016
Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography JW Lim, KR Lee, KH Jin, S Shin, SE Lee, YK Park, JC Ye Optics express 23 (13), 16933-16948, 2015	251	2015
Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging H Choi, KH Jin, Alzheimer’s Disease Neuroimaging Initiative Behavioural brain research 344, 103-109, 2018	204	2018
Enhancement of terahertz pulse emission by optical nanoantenna SG Park, KH Jin, M Yi, JC Ye, J Ahn, KH Jeong ACS nano 6 (3), 2026-2031, 2012	172	2012
Annihilating filter-based low-rank Hankel matrix approach for image inpainting KH Jin, JC Ye IEEE Transactions on Image Processing 24 (11), 3498-3511, 2015	165	2015
Acceleration of MR parameter mapping using annihilating filter‐based low rank hankel matrix (ALOHA) D Lee, KH Jin, EY Kim, SH Park, JC Ye Magnetic resonance in medicine 76 (6), 1848-1864, 2016	126	2016
Time-Dependent Deep Image Prior for Dynamic MRI J Yoo, KH Jin, H Gupta, J Yerly, M Stuber, M Unser IEEE Transactions on Medical Imaging, 2021	102*	2021
Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal KH Jin, JC Ye IEEE Transactions on Image Processing 27 (3), 1448-1461, 2018	100	2018
Fast and robust segmentation of the striatum using deep convolutional neural networks H Choi, KH Jin Journal of neuroscience methods 274, 146-153, 2016	87	2016
Compressive sampling using annihilating filter-based low-rank interpolation JC Ye, JM Kim, KH Jin, K Lee IEEE Transactions on Information Theory 63 (2), 777-801, 2016	87	2016
Reference‐free single‐pass EPI Nyquist ghost correction using annihilating filter‐based low rank Hankel matrix (ALOHA) J Lee, KH Jin, JC Ye Magnetic resonance in medicine 76 (6), 1775-1789, 2016	83	2016
Local Texture Estimator for Implicit Representation Function J Lee, KH Jin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	62	2022
High-speed terahertz reflection three-dimensional imaging for nondestructive evaluation KH Jin, YG Kim, SH Cho, JC Ye, DS Yee Optics express 20 (23), 25432-25440, 2012	55	2012
Self-Supervised Deep Active Accelerated MRI KH Jin, M Unser, KM Yi arXiv preprint arXiv:1901.04547, 2019	53	2019
MRI artifact correction using sparse+ low‐rank decomposition of annihilating filter‐based hankel matrix KH Jin, JY Um, D Lee, J Lee, SH Park, JC Ye Magnetic resonance in medicine 78 (1), 327-340, 2017	51	2017
High-speed terahertz reflection three-dimensional imaging using beam steering DS Yee, KH Jin, JS Yahng, HS Yang, CY Kim, JC Ye Optics express 23 (4), 5027-5034, 2015	33	2015
Wavelet power spectrum estimation for high-resolution terahertz time-domain spectroscopy YC Kim, KH Jin, JC Ye, JW Ahn, DS Yee Journal of the Optical Society of Korea 15 (1), 103-108, 2011	25	2011

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