Jong Chul Ye

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Kyong Hwan JinAssistant Professor of EECS, DGISTVerified email at dgist.ac.kr
Yoseob HanAssistant Professor at Soongsil University, School of Electronic EngineeringVerified email at ssu.ac.kr
Jaeduck JangSAITVerified email at kaist.ac.kr
Sungho TakKorea Basic Science InstituteVerified email at kbsi.re.kr
Dongwook LeeSAIT, Samsung ElectronicsVerified email at samsung.com
Jaejun YooAssistant Professor, Laboratory of Advanced Imaging Technology (LAIT), UNISTVerified email at unist.ac.kr
Kyungsang KimAssistant Professor at Harvard Medical School and Mass General HospitalVerified email at mgh.harvard.edu
Okkyun LeeDaegu Gyeongbuk Institute of Science and Technology (DGIST)Verified email at dgist.ac.kr
Kevin WebbProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Eunhee KangSamsung Advanced Institute of Technology (SAIT)Verified email at samsung.com
Rick MillaneUniversity of Canterbury, New ZealandVerified email at canterbury.ac.nz
Sangjoon ParkBio Imaging, Signal Processing & Learning Lab, Korea advanced institute of science and technologyVerified email at kaist.ac.kr
Jaeyoung HuhKorea Advanced Institute of Science and Technology(KAIST)Verified email at kaist.ac.kr
Yoram BreslerFounder Professor of Engineering, Depts. of Electrical & Computer Engineering and BioengineeringVerified email at illinois.edu
Jong Min KimDept. of Mathematics and Computer Science, Korea Science Academy of KAISTVerified email at kaist.ac.kr
Shujaat KhanSenior AI Scientist at Digital Technology & Innovation, Siemens Medical Solutions USA, Inc.Verified email at siemens-healthineers.com
Yujin OhKAISTVerified email at kaist.ac.kr
Eunju ChaAssistant Professor, Dept. of Electronics Engineering, Sookmyung Women's UniversityVerified email at sookmyung.ac.kr
Junhong MinSamsung ElectronicsVerified email at samsung.com
Hyungjin ChungKAIST bio&brain engineeringVerified email at kaist.ac.kr

Jong Chul Ye

Professor and Endowed Chair, KAIST

Verified email at kaist.ac.kr - Homepage

machine learning computational imaging medical imaging signal processing compressed sensing


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Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017	1235	2017
NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy JC Ye, S Tak, KE Jang, J Jung, J Jang Neuroimage 44 (2), 428-447, 2009	987	2009
k‐t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI H Jung, K Sung, KS Nayak, EY Kim, JC Ye Magnetic Resonance in Medicine: An Official Journal of the International …, 2009	796	2009
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction E Kang, J Min, JC Ye Medical physics 44 (10), e360-e375, 2017	732	2017
Deep learning COVID-19 features on CXR using limited training data sets Y Oh, S Park, JC Ye IEEE transactions on medical imaging 39 (8), 2688-2700, 2020	664	2020
Framing U-Net via deep convolutional framelets: Application to sparse-view CT Y Han, JC Ye IEEE transactions on medical imaging 37 (6), 1418-1429, 2018	451	2018
Geometric gan JH Lim, JC Ye arXiv preprint arXiv:1705.02894, 2017	423	2017
Image reconstruction is a new frontier of machine learning G Wang, JC Ye, K Mueller, JA Fessler IEEE transactions on medical imaging 37 (6), 1289-1296, 2018	384	2018
Statistical analysis of fNIRS data: a comprehensive review S Tak, JC Ye Neuroimage 85, 72-91, 2014	381	2014
Improved k–t BLAST and k–t SENSE using FOCUSS H Jung, JC Ye, EY Kim Physics in Medicine & Biology 52 (11), 3201, 2007	323	2007
Deep convolutional framelets: A general deep learning framework for inverse problems JC Ye, Y Han, E Cha SIAM Journal on Imaging Sciences 11 (2), 991-1048, 2018	315	2018
Compressive MUSIC: Revisiting the link between compressive sensing and array signal processing JM Kim, OK Lee, JC Ye IEEE Transactions on Information Theory 58 (1), 278-301, 2012	304	2012
Deep learning with domain adaptation for accelerated projection‐reconstruction MR Y Han, J Yoo, HH Kim, HJ Shin, K Sung, JC Ye Magnetic resonance in medicine 80 (3), 1189-1205, 2018	291	2018
Deep residual learning for accelerated MRI using magnitude and phase networks D Lee, J Yoo, S Tak, JC Ye IEEE Transactions on Biomedical Engineering 65 (9), 1985-1995, 2018	260	2018
Deep convolutional framelet denosing for low-dose ct via wavelet residual network E Kang, W Chang, J Yoo, JC Ye IEEE transactions on medical imaging 37 (6), 1358-1369, 2018	256	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	250	2016
Wavelet minimum description length detrending for near-infrared spectroscopy KE Jang, S Tak, J Jung, J Jang, Y Jeong, JC Ye Journal of biomedical optics 14 (3), 034004-034004-13, 2009	244	2009
-Space Deep Learning for Accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging 39 (2), 377-386, 2019	240	2019
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	237	2015
Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis YS Han, J Yoo, JC Ye arXiv preprint arXiv:1611.06391, 2016	203	2016

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