Kyong Hwan Jin

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Jong Chul YeProfessor and Endowed Chair, KAISTDirección de correo verificada de kaist.ac.kr
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandDirección de correo verificada de epfl.ch
Michael T. McCannLos Alamos National LaboratoryDirección de correo verificada de lanl.gov
Harshit GuptaSoftware Engineer (Augmented Reality), GoogleDirección de correo verificada de google.com
Jaewon LeePredoctoral Researcher, ETH Zürich and IBM Research EuropeDirección de correo verificada de ibm.com
Jaejun YooAssistant Professor, Laboratory of Advanced Imaging Technology (LAIT), UNISTDirección de correo verificada de unist.ac.kr
Kwang Moo YiAssistant Professor of Computer Science at the University of British Columbia, Haiper AIDirección de correo verificada de cs.ubc.ca
Kiryung LeeAssistant Professor, The Ohio State UniversityDirección de correo verificada de osu.edu
Sang Hyun ParkDaegu Gyeongbuk Institute of Science & Technology, South KoreaDirección de correo verificada de dgist.ac.kr
Woo Kyoung HanKorea UniversityDirección de correo verificada de korea.ac.kr
Eunju ChaAssistant Professor, Dept. of Electrical Engineering, Sookmyung Women's UniversityDirección de correo verificada de sookmyung.ac.kr
Sunghoon ImEECS, DGISTDirección de correo verificada de dgist.ac.kr
Jaesik ParkSeoul National University, CSE & IPAIDirección de correo verificada de snu.ac.kr
Seungryong KimAssociate Professor, KAISTDirección de correo verificada de kaist.ac.kr
Byeonghyun PakAgency for Defense Development (ADD), South KoreaDirección de correo verificada de add.re.kr

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Kyong Hwan Jin

Otros nombresKyong Jin

Associate Professor of EE, Korea University

Dirección de correo verificada de korea.ac.kr - Página principal

image processing machine learning inverse problems signal processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2574	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	806	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	440	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	297	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	289	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	253	2018
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	192	2015
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	184	2012
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	174*	2021
Local Texture Estimator for Implicit Representation Function J Lee, KH Jin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	165	2022
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	140	2016
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	118	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	96	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	94	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	91	2016
Self-Supervised Deep Active Accelerated MRI KH Jin, M Unser, KM Yi arXiv preprint arXiv:1901.04547, 2019	66	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	61	2017
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	58	2012
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	38	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	31	2011

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