Jong Chul Ye

Cited by

	All	Since 2020
Citations	29834	21874
h-index	79	68
i10-index	269	212

7000

3500

1750

5250

2006200720082009201020112012201320142015201620172018201920202021202220232024202580 91 92 109 226 251 372 467 595 629 661 862 1310 1744 2346 3076 3546 4837 6618 1419

Public access

View all

28 articles

7 articles

available

not available

Based on funding mandates

Co-authors

Hyungjin ChungEverExVerified email at everex.co.kr
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
Sangjoon ParkDepartment of Radiation Oncology, Yonsei University College of MedicineVerified email at yuhs.ac
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
Yujin OhMassachusetts General Hospital & Harvard Medical SchoolVerified email at mgh.harvard.edu
Eung Yeop KIMProfessor of Radiology, Samsung Medical CenterVerified email at skku.edu
Kyungsang KimAssistant Professor at Harvard Medical School and Mass General HospitalVerified email at mgh.harvard.edu
Jaeyoung HuhSiemens Healthineers, Princeton, NJVerified email at siemens-healthineers.com
Eunhee KangSamsung Advanced Institute of Technology (SAIT)Verified email at samsung.com
Shujaat KhanAssistant Professor, Computer Engineering Department, KFUPM, KSA.Verified email at kfupm.edu.sa
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
Rick MillaneUniversity of Canterbury, New ZealandVerified email at canterbury.ac.nz
Boah KimSungkyunkwan University (SKKU)Verified email at skku.edu
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

Jong Chul Ye

Professor, Chung Moon Soul Mirae 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
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	2031	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	1225	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	977	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	969	2020
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	875	2009
Diffusionclip: Text-guided diffusion models for robust image manipulation G Kim, T Kwon, JC Ye Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	761	2022
Diffusion posterior sampling for general noisy inverse problems H Chung, J Kim, MT Mccann, ML Klasky, JC Ye arXiv preprint arXiv:2209.14687, 2022	713	2022
Geometric gan JH Lim, JC Ye arXiv preprint arXiv:1705.02894, 2017	695	2017
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	665	2018
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	521	2018
Deep learning for tomographic image reconstruction G Wang, JC Ye, B De Man Nature machine intelligence 2 (12), 737-748, 2020	517	2020
Statistical analysis of fNIRS data: a comprehensive review S Tak, JC Ye Neuroimage 85, 72-91, 2014	512	2014
Improving diffusion models for inverse problems using manifold constraints H Chung, B Sim, D Ryu, JC Ye Advances in Neural Information Processing Systems 35, 25683-25696, 2022	419	2022
Score-based diffusion models for accelerated MRI H Chung, JC Ye arXiv preprint arXiv:2110.05243, 2021	403	2021
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	403	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	382	2018
-Space Deep Learning for Accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging 39 (2), 377-386, 2019	365	2019
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	362	2018
Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction H Chung, B Sim, JC Ye Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	353*	2022
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	352	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors