Jong Chul Ye

Cited by

	All	Since 2016
Citations	10744	7538
h-index	52	41
i10-index	137	103

2600

1300

650

1950

2002200320042005200620072008200920102011201220132014201520162017201820192020202136 46 51 54 78 91 90 104 232 244 372 447 601 621 655 827 1302 1693 2521 481

Co-authors

Kyong Hwan JinAssistant Professor of Information and Communication Engineering, DGISTVerified email at dgist.ac.kr
Jaeduck JangSAITVerified email at kaist.ac.kr
Sungho TakKorea Basic Science InstituteVerified email at kbsi.re.kr
Yoseob HanMass General Hospital and Harvard Medical SchoolVerified email at mgh.harvard.edu
Dongwook LeeSAIT, Samsung ElectronicsVerified email at samsung.com
Jaejun YooPostdoctoral researcher, Laboratoire d'imagerie biomédicale (LIB), EPFLVerified email at epfl.ch
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
Kyungsang KimMass General Hospital and Harvard Medical SchoolVerified email at mgh.harvard.edu
Rick MillaneUniversity of Canterbury, New ZealandVerified email at canterbury.ac.nz
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
Eunhee KangSamsung Advanced Institute of Technology (SAIT)Verified email at samsung.com
Charles A BoumanProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Junhong MinSamsung ElectronicsVerified email at samsung.com
Yong JeongProfessor, Bio and Brain Engineering, KAISTVerified email at kaist.ac.kr
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandVerified email at epfl.ch
Pierre MoulinProfessor, University of Illinois at Urbana-ChampaignVerified email at ifp.uiuc.edu
Jaewook AhnProfessor, Department of Physics, KAISTVerified email at kaist.ac.kr
Kangjoo LeePostdoc Associate, Yale UniversityVerified email at yale.edu

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	745	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	703	2009
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	612	2017
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	418	2017
Improved k–t BLAST and k–t SENSE using FOCUSS H Jung, JC Ye, EY Kim Physics in Medicine & Biology 52 (11), 3201, 2007	286	2007
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	265	2012
Statistical analysis of fNIRS data: a comprehensive review S Tak, JC Ye Neuroimage 85, 72-91, 2014	246	2014
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	228	2018
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	202	2018
Wavelet minimum description length detrending for near-infrared spectroscopy KE Jang, S Tak, J Jung, J Jang, Y Jeong, YC Ye Journal of biomedical optics 14 (3), 034004, 2009	184	2009
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	182	2018
A data-driven sparse GLM for fMRI analysis using sparse dictionary learning with MDL criterion K Lee, S Tak, JC Ye IEEE Transactions on Medical Imaging 30 (5), 1076-1089, 2010	174	2010
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	171	2018
Geometric gan JH Lim, JC Ye arXiv preprint arXiv:1705.02894, 2017	161	2017
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	159	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	159	2015
Optical diffusion tomography by iterative-coordinate-descent optimization in a Bayesian framework JC Ye, KJ Webb, CA Bouman, RP Millane JOSA A 16 (10), 2400-2412, 1999	152	1999
Deep residual learning for compressed sensing MRI D Lee, J Yoo, JC Ye 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 15-18, 2017	145	2017
Projection reconstruction MR imaging using FOCUSS JC Ye, S Tak, Y Han, HW Park Magnetic Resonance in Medicine: An Official Journal of the International …, 2007	143	2007
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	140	2018

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