Jong Chul Ye

Statistics

Publications

185

Citations

15K

H-Index

Active since

1999

Affiliations

Korea Advanced Institute of Science and Technology(Current)

Korea Institute of Brain Science

Seoul National University

University of Illinois Urbana-Champaign

University of Ulsan

Jong Chul Ye is an author at Korea Advanced Institute of Science and Technology specializing in engineering, biomedical imaging, and medical image computing.

ORCID

Top concepts

EngineeringBiomedical ImagingMedical ImagingMedical Image ComputingRadiologyHealthInverse ProblemsDeep LearningImage AnalysisMachine Learning

Publications per year

1999–2024

185

Publications

185

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte, Eirikur Agustsson, Luc Van Gool et al. · 2017 · 1.5K citations

Rich Details, Super-resolution Imaging, Machine Vision +14

k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI

Hong Jung, Kyunghyun Sung, Krishna S. Nayak et al. · Magnetic Resonance in Medicine · 2008 · 675 citations · Full text

Image Reconstruction, Engineering, K‐t Focuss +19

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

Yoseob Han, Jong Chul Ye · IEEE Transactions on Medical Imaging · 2018 · 578 citations

Computed Tomography, Image Reconstruction, Convolutional Neural Network +18

Deep learning for tomographic image reconstruction

Ge Wang, Jong Chul Ye, Bruno De Man · Nature Machine Intelligence · 2020 · 519 citations

Computed Tomography, Image Reconstruction, Image Analysis +9

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Gwanghyun Kim, Tae‐Sung Kwon, Jong Chul Ye · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 434 citations

Engineering, Machine Learning, Gan Inversion Methods +16

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