Sotabase

Career

· Professor, Korea Advanced Institute of Science and Technology (KAIST)2013–
· Associate Professor, Korea Advanced Institute of Science and Technology (KAIST)2008–
· Assistant Professor, Korea Advanced Institute of Science and Technology (KAIST)2004–
· Postdoctoral Researcher, University of Illinois, Urbana Champaign1999–

Publications (376)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2017
1,791
cited
Diffusion Posterior Sampling for General Noisy Inverse Problems
International Conference on Learning Representations · 2022
1,291
cited
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Medical Physics (Lancaster) · 2016
793
cited
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
IEEE Transactions on Medical Imaging · 2020
747
cited
k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI
Magnetic Resonance in Medicine · 2009
738
cited
Hemispheric asymmetry in hand preference of right-handers for passive vibrotactile perception: an fNIRS study
Scientific Reports · 2020
669
cited
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Neural Information Processing Systems · 2022
598
cited
Geometric GAN
arXiv.org · 2017
558
cited
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT
IEEE Transactions on Medical Imaging · 2017
557
cited
Deep learning for tomographic image reconstruction
Nature Machine Intelligence · 2020
506
cited
Statistical analysis of fNIRS data: A comprehensive review
NeuroImage · 2014
437
cited
Image Reconstruction is a New Frontier of Machine Learning
IEEE Transactions on Medical Imaging · 2018
417
cited
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
SIAM Journal of Imaging Sciences · 2017
317
cited
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks
IEEE Transactions on Biomedical Engineering · 2018
316
cited
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
IEEE Transactions on Medical Imaging · 2017
296
cited
Improved k–t BLAST and k–t SENSE using FOCUSS
Physics in Medicine and Biology · 2007
285
cited
Wavelet minimum description length detrending for near-infrared spectroscopy.
Journal of Biomedical Optics · 2009
275
cited
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
Proceedings of the IEEE · 2019
273
cited
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration
Medical Image Anal. · 2020
269
cited
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix
IEEE Transactions on Computational Imaging · 2015
251
cited
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Jong Chul Ye | Researcher Profile | Sotabase | Sotabase