Jong Chul Ye

According to our database1, Jong Chul Ye authored at least 152 papers between 1998 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2020
k-Space Deep Learning for Accelerated MRI.
IEEE Trans. Med. Imaging, 2020

Mumford-Shah Loss Functional for Image Segmentation With Deep Learning.
IEEE Trans. Image Processing, 2020

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors].
IEEE Signal Process. Mag., 2020

Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning.
IEEE Signal Process. Mag., 2020

Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning.
Proceedings of the IEEE, 2020

Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis.
CoRR, 2020

2019
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.
IEEE Trans. Med. Imaging, 2019

Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning.
CoRR, 2019

Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems.
CoRR, 2019

CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry.
CoRR, 2019

Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound.
CoRR, 2019

Boosting CNN beyond Label in Inverse Problems.
CoRR, 2019

Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal.
CoRR, 2019

Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN.
CoRR, 2019

Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer.
CoRR, 2019

Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning.
CoRR, 2019

Universal Deep Beamformer for Variable Rate Ultrasound Imaging.
CoRR, 2019

Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Learning-Based Universal Beamformer for Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Understanding Geometry of Encoder-Decoder CNNs.
Proceedings of the 36th International Conference on Machine Learning, 2019

CollaGAN: Collaborative GAN for Missing Image Data Imputation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Image Reconstruction is a New Frontier of Machine Learning.
IEEE Trans. Med. Imaging, 2018

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.
IEEE Trans. Med. Imaging, 2018

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT.
IEEE Trans. Med. Imaging, 2018

Unified Theory for Recovery of Sparse Signals in a General Transform Domain.
IEEE Trans. Information Theory, 2018

Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy.
IEEE Trans. Image Processing, 2018

Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal.
IEEE Trans. Image Processing, 2018

Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.
IEEE Trans. Biomed. Engineering, 2018

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems.
SIAM J. Imaging Sciences, 2018

A Mathematical Framework for Deep Learning in Elastic Source Imaging.
SIAM Journal of Applied Mathematics, 2018

One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection.
CoRR, 2018

Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals.
CoRR, 2018

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography.
CoRR, 2018

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography.
CoRR, 2018

k-Space Deep Learning for Reference-free EPI Ghost Correction.
CoRR, 2018

k-Space Deep Learning for Accelerated MRI.
CoRR, 2018

Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach.
CoRR, 2018

Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner.
CoRR, 2018

Improved Time-Resolved MRA Using k-Space Deep Learning.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Framelet denoising for low-dose CT using deep learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Learning for Accelerated Ultrasound Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation.
IEEE Trans. Information Theory, 2017

A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media.
SIAM J. Imaging Sciences, 2017

Deep Learning Interior Tomography for Region-of-Interest Reconstruction.
CoRR, 2017

Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging.
CoRR, 2017

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography.
CoRR, 2017

Deep Convolutional Framelets: A General Deep Learning for Inverse Problems.
CoRR, 2017

Geometric GAN.
CoRR, 2017

Deep artifact learning for compressed sensing and parallel MRI.
CoRR, 2017

Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets.
CoRR, 2017

Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction.
CoRR, 2017

Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR.
CoRR, 2017

Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction.
CoRR, 2017

Deep residual learning for compressed sensing MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017


Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix.
IEEE Trans. Computational Imaging, 2016

Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis.
NeuroImage, 2016

WaveNet: a deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.
CoRR, 2016

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis.
CoRR, 2016

Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty.
IEEE Trans. Signal Processing, 2015

A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model.
IEEE Trans. Med. Imaging, 2015

Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty.
IEEE Trans. Med. Imaging, 2015

Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting.
IEEE Trans. Image Processing, 2015

Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation.
SIAM J. Imaging Sciences, 2015

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation.
SIAM J. Imaging Sciences, 2015

Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal.
CoRR, 2015

Multiband dynamic compressed sensing.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Joint sparsity recovery method for the EIT problem to reconstruct anomalies.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Patch based low rank structured matrix completion for accelerated scanning microscopy.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI.
IEEE Trans. Med. Imaging, 2014

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3-D PET.
IEEE J. Biomedical and Health Informatics, 2014

Compressed sensing fMRI using gradient-recalled echo and EPI sequences.
NeuroImage, 2014

Statistical analysis of fNIRS data: A comprehensive review.
NeuroImage, 2014

Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology.
NeuroImage, 2014

Accurate inversion of absorption and scattering in diffuse optical tomography without iterative Green's function update.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

ECG-gated cardiac CT reconstruction using patch based low rank regularization.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Corrections to "Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing".
IEEE Trans. Information Theory, 2013

Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Improving resolution of fluorescent microscopy using speckle illumination and joint sparse recovery.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Continuous localization using sparsity constraints for high-density super-resolution microscopy.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Parallel proximal algorithm for interior tomography problems in x-ray CT with tiny a priori knowledge.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Subspace penalized sparse learning for joint sparse recovery.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Improving Noise Robustness in Subspace-Based Joint Sparse Recovery.
IEEE Trans. Signal Processing, 2012

Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing.
IEEE Trans. Information Theory, 2012

Compressive subspace fitting for multiple measurement vectors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Resting-state fMRI analysis of Alzheimer's disease progress using sparse dictionary learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Compressed sensing reconstruction of statistical parameter map for functional diffuse optical tomography.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A statistical framework for material decomposition using multi-energy photon counting x-ray detector.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion.
IEEE Trans. Med. Imaging, 2011

Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity.
IEEE Trans. Med. Imaging, 2011

Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements.
NeuroImage, 2011

Noise Robust Joint Sparse Recovery using Compressive Subspace Fitting
CoRR, 2011

Exact Dynamic Support Tracking with Multiple Measurement Vectors using Compressive MUSIC
CoRR, 2011

Belief propagation for joint sparse recovery
CoRR, 2011

Compressive MUSIC with optimized partial support for joint sparse recovery.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

A data-driven spatially adaptive sparse generalized linear model for functional MRI analysis.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Diffuse optical tomography using generalized music algorithm.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Sparse topological data recovery in medical images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques.
Int. J. Imaging Systems and Technology, 2010

Compressive MUSIC: A Missing Link Between Compressive Sensing and Array Signal Processing
CoRR, 2010

Statistical parametric mapping of FMRI data using sparse dictionary learning.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

A sparse Bayesian learning for highly accelerated dynamic MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Compressive inverse scattering using ultrashort pulses.
Proceedings of the Computational Imaging VIII, 2010

2009
NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy.
NeuroImage, 2009

AB Initio Maximum Likelihood Reconstruction of Helical Macromolecules Using Electron Microscopy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Compressed Sensing Metal Artifact Removal in Dental CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs.
Proceedings of the International Conference on Image Processing, 2009

2008
Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

General linear model and inference for near infrared spectroscopy using global confidence region analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

High resolution dynamic MRI using motion estimated and compensated compressed sensing.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP).
Proceedings of the IEEE International Conference on Acoustics, 2008

3D macromolecule structure reconstruction from electron micrograph by exploiting symmetry and sparsity.
Proceedings of the Computational Imaging VI, 2008

2007
Compressed Sensing Shape Estimation of Star-Shaped Objects in Fourier Imaging.
IEEE Signal Process. Lett., 2007

Generalized K-T Blast and K-T Sense Using Focuss.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Single Channel Exact Blind Image Deconvolution from Radially Symmmetric Fir Blur.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

High resolution projection reconstruction MR imaging using FOCUSS.
Proceedings of the Computational Imaging V, San Jose, 2007

Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems.
IEEE Trans. Image Processing, 2006

x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
In vivo optical molecular imaging: principles and signal processing issues.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
Cramer-Rao bounds for parametric shape estimation in inverse problems.
IEEE Trans. Image Processing, 2003

Channel adaptive prioritized transmission of layered video over wireless LAN.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

Video streaming over wireless LAN with efficient scalable coding and prioritized adaptive transmission.
Proceedings of the 2003 International Conference on Image Processing, 2003

Rate-distortion optimized data partitioning for video using backward adaptation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples.
International Journal of Computer Vision, 2002

Cramer-Rao bounds for parametric shape estimation.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Nonlinear multigrid algorithms for Bayesian optical diffusion tomography.
IEEE Trans. Image Processing, 2001

2000
Asymptotic global confidence regions in parametric shape estimation problems.
IEEE Trans. Information Theory, 2000

Global confidence regions in parametric shape estimation.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Optimal Parameter Updating for Optical Diffusion Imaging.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998


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