Jong Chul Ye

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Kyong Hwan JinAssociate Professor of EE, Korea UniversityVerified email at korea.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
Hyungjin ChungKAISTVerified email at kaist.ac.kr
Kyungsang KimAssistant Professor at Harvard Medical School and Mass General HospitalVerified email at mgh.harvard.edu
Sangjoon ParkBio Imaging, Signal Processing & Learning Lab, Korea advanced institute of science and technologyVerified email at kaist.ac.kr
Okkyun LeeDaegu Gyeongbuk Institute of Science and Technology (DGIST)Verified email at dgist.ac.kr
Eunhee KangSamsung Advanced Institute of Technology (SAIT)Verified email at samsung.com
Kevin WebbProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Rick MillaneUniversity of Canterbury, New ZealandVerified email at canterbury.ac.nz
Jaeyoung HuhKorea Advanced Institute of Science and Technology(KAIST)Verified 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 OhKAIST AIVerified 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
Eunju ChaAssistant Professor, Dept. of Electrical Engineering, Sookmyung Women's UniversityVerified email at sookmyung.ac.kr
Junhong MinSamsung ElectronicsVerified email at samsung.com

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	1425	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	1057	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	811	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	800	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	783	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	517	2018
Geometric gan JH Lim, JC Ye arXiv preprint arXiv:1705.02894, 2017	491	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	420	2018
Statistical analysis of fNIRS data: a comprehensive review S Tak, JC Ye Neuroimage 85, 72-91, 2014	410	2014
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	344	2018
Improved k–t BLAST and k–t SENSE using FOCUSS H Jung, JC Ye, EY Kim Physics in Medicine & Biology 52 (11), 3201, 2007	327	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	315	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	313	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	296	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	276	2018
Deep learning for tomographic image reconstruction G Wang, JC Ye, B De Man Nature Machine Intelligence 2 (12), 737-748, 2020	274	2020
-Space Deep Learning for Accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging 39 (2), 377-386, 2019	265	2019
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	262	2009
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	259	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

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