Optimal Parameter Updating for Optical Diffusion Imaging. - Jong Chul Ye; Kevin J. Webb; Rick P. Millane; Thomas J. Downar (ICIP (3), 1998)

Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography. - Jong Chul Ye; Charles A. Bouman; Rick P. Millane; Kevin J. Webb (ICIP (2), 1999)

Global confidence regions in parametric shape estimation. - Jong Chul Ye; Yoram Bresler; Pierre Moulin (ICASSP, 2000)

Asymptotic global confidence regions in parametric shape estimation problems. - Jong Chul Ye; Yoram Bresler; Pierre Moulin (IEEE Trans. Inf. Theory, 2000)

Nonlinear multigrid algorithms for Bayesian optical diffusion tomography. - Jong Chul Ye; Charles A. Bouman; Kevin J. Webb; Rick P. Millane (IEEE Trans. Image Process., 2001)

Cramer-Rao bounds for parametric shape estimation. - Jong Chul Ye; Yoram Bresler; Pierre Moulin (ICIP (2), 2002)

A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples. - Jong Chul Ye; Yoram Bresler; Pierre Moulin (Int. J. Comput. Vis., 2002)

Rate-distortion optimized data partitioning for video using backward adaptation. - Jong Chul Ye; Yingwei Chen (ICASSP (3), 2003)

Video streaming over wireless LAN with efficient scalable coding and prioritized adaptive transmission. - Yingwei Chen; Jong Chul Ye; Carles Ruiz Floriach; Kiran S. Challapali (ICIP (3), 2003)

Channel adaptive prioritized transmission of layered video over wireless LAN. - Yingwei Chen; Carles Ruiz Floriach; Jong Chul Ye; Kiran S. Challapali (PIMRC, 2003)

Cramer-Rao bounds for parametric shape estimation in inverse problems. - Jong Chul Ye; Yoram Bresler; Pierre Moulin (IEEE Trans. Image Process., 2003)

In vivo optical molecular imaging: principles and signal processing issues. - Jong Chul Ye; Kevin J. Webb; Rick P. Millane; Charles A. Bouman (ICASSP (5), 2005)

x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging. - Jinhee Kim; Jong Chul Ye; Jaehung Yoo (ISBI, 2006)

Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems. - Jong Chul Ye; Pierre Moulin; Yoram Bresler (IEEE Trans. Image Process., 2006)

Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory. - Min Woo Kim; Jiyoung Choi; Liu Yu; Kyung Eun Lee; Sung-Sik Han; Jong Chul Ye (Computational Imaging, 2007)

High resolution projection reconstruction MR imaging using FOCUSS. - Sungho Tak; Jaeheung Yoo; Jong Chul Ye (Computational Imaging, 2007)

Single Channel Exact Blind Image Deconvolution from Radially Symmmetric Fir Blur. - Kwang Eun Jang; Jong Chul Ye (ISBI, 2007)

Generalized K-T Blast and K-T Sense Using Focuss. - Hong Jung; Jaeheung Yoo; Jong Chul Ye (ISBI, 2007)

Compressed Sensing Shape Estimation of Star-Shaped Objects in Fourier Imaging. - Jong Chul Ye (IEEE Signal Process. Lett., 2007)

3D macromolecule structure reconstruction from electron micrograph by exploiting symmetry and sparsity. - Min Woo Kim; Jiyoung Choi; Jong Chul Ye (Computational Imaging, 2008)

Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP). - Jong Chul Ye; Su Yeon Lee (ICASSP, 2008)

High resolution dynamic MRI using motion estimated and compensated compressed sensing. - Hong Jung; Jong Chul Ye (ISBI, 2008)

General linear model and inference for near infrared spectroscopy using global confidence region analysis. - Sungho Tak; Kwang Eun Jang; Jinwook Jung; Jaeduck Jang; Jong Chul Ye (ISBI, 2008)

Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation. - Jong Chul Ye; Su Yeon Lee; Yoram Bresler (ISBI, 2008)

Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs. - Kwang Eun Jang; Hee Won Yang; Jong Chul Ye (ICIP, 2009)

Compressed Sensing Metal Artifact Removal in Dental CT. - Jiyoung Choi; Min Woo Kim; Won Seong; Jong Chul Ye (ISBI, 2009)

Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing. - Hong Jung; Jong Chul Ye (ISBI, 2009)

AB Initio Maximum Likelihood Reconstruction of Helical Macromolecules Using Electron Microscopy. - Min Woo Kim; Jong Chul Ye (ISBI, 2009)

NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy. - Jong Chul Ye; Sungho Tak; Kwang Eun Jang; Jinwook Jung; Jaeduck Jang (NeuroImage, 2009)

Compressive inverse scattering using ultrashort pulses. - Kyung Hwan Jin; Kanghee Lee; Jaewook Ahn; Jong Chul Ye (Computational Imaging, 2010)

A sparse Bayesian learning for highly accelerated dynamic MRI. - Hong Jung; Jong Chul Ye (ISBI, 2010)

Statistical parametric mapping of FMRI data using sparse dictionary learning. - Kangjoo Lee; Jong Chul Ye (ISBI, 2010)

Compressive MUSIC: A Missing Link Between Compressive Sensing and Array Signal Processing - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (CoRR, 2010)

Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques. - Hong Jung; Jong Chul Ye (Int. J. Imaging Syst. Technol., 2010)

Sparse topological data recovery in medical images. - Moo K. Chung; Hyekyoung Lee; Peter T. Kim; Jong Chul Ye (ISBI, 2011)

L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning. - Hong Jung; Huisu Yoon; Jong Chul Ye (ISBI, 2011)

Diffuse optical tomography using generalized music algorithm. - Ok Kyun Lee; Jongmin Kim 002; Yoram Bresler; Jong Chul Ye (ISBI, 2011)

A data-driven spatially adaptive sparse generalized linear model for functional MRI analysis. - Kangjoo Lee; Sungho Tak; Jong Chul Ye (ISBI, 2011)

Compressive MUSIC with optimized partial support for joint sparse recovery. - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (ISIT, 2011)

Belief propagation for joint sparse recovery - Jongmin Kim 002; Woohyuk Chang; Bang Chul Jung; Dror Baron; Jong Chul Ye (CoRR, 2011)

Exact Dynamic Support Tracking with Multiple Measurement Vectors using Compressive MUSIC - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (CoRR, 2011)

Noise Robust Joint Sparse Recovery using Compressive Subspace Fitting - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (CoRR, 2011)

Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements. - Sungho Tak; Soo Jin Yoon; Jaeduck Jang; Kwangsun Yoo; Yong Jeong; Jong Chul Ye (NeuroImage, 2011)

Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity. - Ok Kyun Lee; Jong Min Kim 002; Yoram Bresler; Jong Chul Ye (IEEE Trans. Medical Imaging, 2011)

A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion. - Kangjoo Lee; Sungho Tak; Jong Chul Ye (IEEE Trans. Medical Imaging, 2011)

Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC. - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (ICASSP, 2012)

A statistical framework for material decomposition using multi-energy photon counting x-ray detector. - Jiyoung Choi; Dong-Goo Kang; Sunghoon Kang; Younghun Sung; Jong Chul Ye (ISBI, 2012)

Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation. - Kyung Sang Kim; Young Hoon Seong; Jongha Lee; Kwang Eun Jang; Jong Chul Ye (ISBI, 2012)

Compressed sensing reconstruction of statistical parameter map for functional diffuse optical tomography. - Ok Kyun Lee; Hua Li; Sungho Tak; Jong Chul Ye (ISBI, 2012)

MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging. - Huisu Yoon; Jong Chul Ye (ISBI, 2012)

Resting-state fMRI analysis of Alzheimer's disease progress using sparse dictionary learning. - Jeonghyeon Lee; Jong Chul Ye (SMC, 2012)

Compressive subspace fitting for multiple measurement vectors. - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (SSP, 2012)

Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing. - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (IEEE Trans. Inf. Theory, 2012)

Improving Noise Robustness in Subspace-Based Joint Sparse Recovery. - Jong Min Kim 002; Ok Kyun Lee; Jong Chul Ye (IEEE Trans. Signal Process., 2012)

Subspace penalized sparse learning for joint sparse recovery. - Jong Chul Ye; Jong Min Kim 002; Yoram Bresler (ICASSP, 2013)

Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization. - Kyung Sang Kim; Young-Don Son; Zang-Hee Cho; Jong Beom Ra; Jong Chul Ye (ISBI, 2013)

Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer'S disease. - Jeonghyeon Lee; Yong Jeong; Jong Chul Ye (ISBI, 2013)

Parallel proximal algorithm for interior tomography problems in x-ray CT with tiny a priori knowledge. - Minji Lee; Jong Chul Ye (ISBI, 2013)

Continuous localization using sparsity constraints for high-density super-resolution microscopy. - Junhong Min; Cédric Vonesch; Nicolas Olivier; Hagai Kirshner; Suliana Manley; Jong Chul Ye; Michael Unser (ISBI, 2013)

Improving resolution of fluorescent microscopy using speckle illumination and joint sparse recovery. - Jong Chul Ye; Junhong Min; Jaeduck Jang (ISBI, 2013)

Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning. - Jaejun Yoo 001; Jongmin Kim 002; Chang-Hwan Im; Jong Chul Ye (ISBI, 2013)

Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction. - Huisu Yoon; Kyung Sang Kim; Jong Chul Ye (ISBI, 2013)

Corrections to "Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing". - Jong Min Kim 002; Jong Chul Ye (IEEE Trans. Inf. Theory, 2013)

Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing. - Huisu Yoon; Sunghong Park; Jong Chul Ye (GlobalSIP, 2014)

ECG-gated cardiac CT reconstruction using patch based low rank regularization. - Kyung Sang Kim; Jong Chul Ye (ISBI, 2014)

TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm. - Kyung Sang Kim; Jong Chul Ye; Li Cheng 001; Kui Ying; Georges El Fakhri; Quanzheng Li (ISBI, 2014)

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. - Dongwook Lee 005; Eung-Yeop Kim; Huisu Yoon; Sunghong Park; Jong Chul Ye (ISBI, 2014)

Accurate inversion of absorption and scattering in diffuse optical tomography without iterative Green's function update. - Ok Kyun Lee; Jong Chul Ye (ISBI, 2014)

Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology. - Arshi Khalid; Byung Sun Kim; Moo K. Chung; Jong Chul Ye; Daejong Jeon (NeuroImage, 2014)

Statistical analysis of fNIRS data: A comprehensive review. - Sungho Tak; Jong Chul Ye (NeuroImage, 2014)

Compressed sensing fMRI using gradient-recalled echo and EPI sequences. - Xiaopeng Zong; Juyoung Lee; Alexander John Poplawsky; Seong-Gi Kim; Jong Chul Ye (NeuroImage, 2014)

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3-D PET. - Kyung Sang Kim; Young-Don Son; Zang-Hee Cho; Jong Beom Ra; Jong Chul Ye (IEEE J. Biomed. Health Informatics, 2014)

Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI. - Huisu Yoon; Kyung Sang Kim; Daniel Kim; Yoram Bresler; Jong Chul Ye (IEEE Trans. Medical Imaging, 2014)

A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. - Kyong Hwan Jin; Dongwook Lee 005; Jong Chul Ye (ISBI, 2015)

Patch based low rank structured matrix completion for accelerated scanning microscopy. - Kyong Hwan Jin; Junhong Min; Jong Chul Ye (ISBI, 2015)

Joint sparsity recovery method for the EIT problem to reconstruct anomalies. - Ok Kyun Lee; Hyeonbae Kang; Mikyoung Lim; Jong Chul Ye (ISBI, 2015)

Multiband dynamic compressed sensing. - Huisu Yoon; Dongwook Lee 005; Juyoung Lee; Seung Hong Choi; Sunghong Park; Jong Chul Ye (ISBI, 2015)

Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal. - Kyong Hwan Jin; Jong Chul Ye (CoRR, 2015)

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation. - Minji Lee; Yoseob Han; John Paul Ward; Michael Unser; Jong Chul Ye (SIAM J. Imaging Sci., 2015)

Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation. - John Paul Ward; Minji Lee; Jong Chul Ye; Michael Unser (SIAM J. Imaging Sci., 2015)

Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting. - Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Image Process., 2015)

Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty. - Kyung Sang Kim; Jong Chul Ye; William Worstell; Jinsong Ouyang; Yothin Rakvongthai; Georges El Fakhri; Quanzheng Li (IEEE Trans. Medical Imaging, 2015)

A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model. - Ok Kyun Lee; Sungho Tak; Jong Chul Ye (IEEE Trans. Medical Imaging, 2015)

Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty. - Jong Chul Ye; Jong Min Kim 002; Yoram Bresler (IEEE Trans. Signal Process., 2015)

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. - Kyong Hwan Jin; Dongwook Lee 005; Juyoung Lee; Jong Chul Ye (ICIP, 2016)

Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix. - Kyong Hwan Jin; Jong Chul Ye (ICIP, 2016)

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. - Eun Ju Cha; Kyong Hwan Jin; Dongwook Lee 005; Eung-Yeop Kim; Seung Hong Choi; Jong Chul Ye (ISBI, 2016)

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach. - Yoseob Han; Kyong Hwan Jin; Kyung Sang Kim; Jong Chul Ye (ISBI, 2016)

Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation. - Kyong Hwan Jin; Yoseob Han; Jong Chul Ye (ISBI, 2016)

Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix. - Kyong Hwan Jin; Juyoung Lee; Dongwook Lee 005; Jong Chul Ye (ISBI, 2016)

Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation. - Juyoung Lee; Kyong Hwan Jin; Jong Chul Ye (ISBI, 2016)

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis. - Yoseob Han; Jaejun Yoo 001; Jong Chul Ye (CoRR, 2016)

WaveNet: a deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction. - Eunhee Kang; Junhong Min; Jong Chul Ye (CoRR, 2016)

Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis. - Young-Beom Lee; Jeonghyeon Lee; Sungho Tak; Kangjoo Lee; Duk L. Na; Sang Won Seo; Yong Jeong; Jong Chul Ye (NeuroImage, 2016)

A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix. - Kyong Hwan Jin; Dongwook Lee 005; Jong Chul Ye (IEEE Trans. Computational Imaging, 2016)

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification. - Woong Bae; Jaejun Yoo 001; Jong Chul Ye (CVPR Workshops, 2017)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Eirikur Agustsson; Luc Van Gool; Ming-Hsuan Yang 001; Lei Zhang 006; Bee Lim; Sanghyun Son 002; Heewon Kim; Seungjun Nah; Kyoung Mu Lee; Xintao Wang 002; Yapeng Tian; et al. (CVPR Workshops, 2017)

Deep residual learning for compressed sensing MRI. - Dongwook Lee 005; Jaejun Yoo 001; Jong Chul Ye (ISBI, 2017)

Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction. - Jawook Gu; Jong Chul Ye (CoRR, 2017)

Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR. - Yoseob Han; Jaejun Yoo 001; Jong Chul Ye (CoRR, 2017)

Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction. - Eunhee Kang; Junhong Min; Jong Chul Ye (CoRR, 2017)

Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets. - Eunhee Kang; Jaejun Yoo 001; Jong Chul Ye (CoRR, 2017)

Deep artifact learning for compressed sensing and parallel MRI. - Dongwook Lee 005; Jaejun Yoo 001; Jong Chul Ye (CoRR, 2017)

Geometric GAN. - Jae Hyun Lim 001; Jong Chul Ye (CoRR, 2017)

Deep Convolutional Framelets: A General Deep Learning for Inverse Problems. - Jong Chul Ye; Yoseob Han (CoRR, 2017)

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography. - Jaejun Yoo 001; Sohail Sabir; Duchang Heo; Kee Hyun Kim; Abdul Wahab 002; Yoonseok Choi; Seul-I Lee; Eun Young Chae; Hak Hee Kim; Young Min Bae; Young-Wook Choi; Seungryong Cho; et al. (CoRR, 2017)

Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging. - Yeo Hun Yoon; Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2017)

Deep Learning Interior Tomography for Region-of-Interest Reconstruction. - Yoseob Han; Jawook Gu; Jong Chul Ye (CoRR, 2017)

A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media. - Jaejun Yoo 001; Younghoon Jung; Mikyoung Lim; Jong Chul Ye; Abdul Wahab 002 (SIAM J. Imaging Sci., 2017)

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation. - Jong Chul Ye; Jong Min Kim 002; Kyong Hwan Jin; Kiryung Lee (IEEE Trans. Inf. Theory, 2017)

Deep Learning for Accelerated Ultrasound Imaging. - Yeo Hun Yoon; Jong Chul Ye (ICASSP, 2018)

Framelet denoising for low-dose CT using deep learning. - Eunhee Kang; Jong Chul Ye (ISBI, 2018)

Improved Time-Resolved MRA Using k-Space Deep Learning. - Eunju Cha; Eung-Yeop Kim; Jong Chul Ye (MLMIR@MICCAI, 2018)

Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner. - Yoseob Han; Jingu Kang; Jong Chul Ye (CoRR, 2018)

Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach. - Hyun-Seo Ahn; Sunghong Park; Jong Chul Ye (CoRR, 2018)

k-Space Deep Learning for Accelerated MRI. - Yoseob Han; Jong Chul Ye (CoRR, 2018)

k-Space Deep Learning for Reference-free EPI Ghost Correction. - Juyoung Lee; Yoseob Han; Jong Chul Ye (CoRR, 2018)

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. - Eunju Cha; Eung-Yeop Kim; Jong Chul Ye (CoRR, 2018)

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography. - Eunhee Kang; Hyun Jung Koo; Dong Hyun Yang; Joon Bum Seo; Jong Chul Ye (CoRR, 2018)

Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. - Kyong Hwan Jin; Gain Kim; Yusuf Leblebici; Jong Chul Ye; Michael Unser (CoRR, 2018)

One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection. - Yoseob Han; Jong Chul Ye (CoRR, 2018)

A Mathematical Framework for Deep Learning in Elastic Source Imaging. - Jaejun Yoo 001; Abdul Wahab 002; Jong Chul Ye (SIAM J. Appl. Math., 2018)

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems. - Jong Chul Ye; Yoseob Han; Eunju Cha (SIAM J. Imaging Sci., 2018)

Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks. - Dongwook Lee 005; Jaejun Yoo 001; Sungho Tak; Jong Chul Ye (IEEE Trans. Biomed. Eng., 2018)

Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal. - Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Image Process., 2018)

Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. - Junhong Min; Kyong Hwan Jin; Michael Unser; Jong Chul Ye (IEEE Trans. Image Process., 2018)

Unified Theory for Recovery of Sparse Signals in a General Transform Domain. - Kiryung Lee; Yanjun Li 001; Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Inf. Theory, 2018)

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT. - Yoseob Han; Jong Chul Ye (IEEE Trans. Medical Imaging, 2018)

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network. - Eunhee Kang; Won Chang; Jaejun Yoo 001; Jong Chul Ye (IEEE Trans. Medical Imaging, 2018)

Image Reconstruction is a New Frontier of Machine Learning. - Ge Wang 001; Jong Chul Ye; Klaus Mueller 001; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2018)

CollaGAN: Collaborative GAN for Missing Image Data Imputation. - Dongwook Lee 005; Junyoung Kim 002; Won-Jin Moon; Jong Chul Ye (CVPR, 2019)

Understanding Geometry of Encoder-Decoder CNNs. - Jong Chul Ye; Woon Kyoung Sung (ICML, 2019)

Deep Learning-Based Universal Beamformer for Ultrasound Imaging. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (MICCAI (5), 2019)

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. - Boah Kim; Jieun Kim; June-Goo Lee; Dong Hwan Kim; Seong Ho Park; Jong Chul Ye (MICCAI (6), 2019)

Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. - Sungjun Lim 001; Jong Chul Ye (MLMIR@MICCAI, 2019)

Universal Deep Beamformer for Variable Rate Ultrasound Imaging. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2019)

Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning. - Boah Kim; Jong Chul Ye (CoRR, 2019)

Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. - Sungjun Lim 001; Sang-Eun Lee; Sunghoe Chang; Jong Chul Ye (CoRR, 2019)

Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN. - Dongwook Lee 005; Won-Jin Moon; Jong Chul Ye (CoRR, 2019)

Boosting CNN beyond Label in Inverse Problems. - Eunju Cha; Jaeduck Jang; Junho Lee; Eunha Lee; Jong Chul Ye (CoRR, 2019)

Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2019)

CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. - Sungjun Lim 001; Sang-Eun Lee; Sunghoe Chang; Jong Chul Ye (CoRR, 2019)

Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems. - Byeongsu Sim; Gyutaek Oh; Sungjun Lim 001; Jong Chul Ye (CoRR, 2019)

Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning. - Mathews Jacob; Merry P. Mani; Jong Chul Ye (CoRR, 2019)

Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning. - Yeo Hun Yoon; Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (IEEE Trans. Medical Imaging, 2019)

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. - Kai Zhang 008; Shuhang Gu; Radu Timofte; Taizhang Shang; Qiuju Dai; Shengchen Zhu; Tong Yang; Yandong Guo; Younghyun Jo; Sejong Yang; Seon Joo Kim; Lin Zha; et al. (CVPR Workshops, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. - Byung-Hoon Kim; Joonyoung Song; Jong Chul Ye; JaeHyun Baek (ECCV Workshops (3), 2020)

Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. - Byeongsu Sim; Gyutaek Oh; Jong Chul Ye (ICASSP, 2020)

Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning. - Junyoung Kim 002; Yoseob Han; Jong Chul Ye (ISBI, 2020)

Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. - Joonhyung Lee; Hyunjong Kim; Hyungjin Chung; Jong Chul Ye (ISBI, 2020)

Unsupervised Learning for Compressed Sensing MRI Using Cyclegan. - Gyutaek Oh; Byeongsu Sim; Jong Chul Ye (ISBI, 2020)

Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy. - Sangjoon Park; Jong Chul Ye (ISBI, 2020)

Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. - Mi-Sun Kang; Eunju Cha; Eunhee Kang; Jong Chul Ye; Nam-Gu Her; Jeong-Woo Oh; Do-Hyun Nam; Myoung-Hee Kim; Sejung Yang (Biomed. Signal Process. Control., 2020)

Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis. - Byung-Hoon Kim; Jong Chul Ye (CoRR, 2020)

Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN. - Joonyoung Song; Jae-Heon Jeong; Dae-Soon Park; Hyun-Ho Kim; Doo-Chun Seo; Jong Chul Ye (CoRR, 2020)

Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; Jong Chul Ye (CoRR, 2020)

Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2020)

Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN. - Junghyun Lee; Jawook Gu; Jong Chul Ye (CoRR, 2020)

OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN. - Jaeyoung Huh; Shujaat Khan; Jong Chul Ye (CoRR, 2020)

AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. - Jawook Gu; Jong Chul Ye (CoRR, 2020)

Switchable Deep Beamformer. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation. - Gyutaek Oh; Jeong Eun Lee; Jong Chul Ye (CoRR, 2020)

CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN. - Gyutaek Oh; Hyokyoung Bae; Hyun-Seo Ahn; Sung-Hong Park; Jong Chul Ye (CoRR, 2020)

Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. - Eunju Cha; Gyutaek Oh; Jong Chul Ye (IEEE J. Sel. Top. Signal Process., 2020)

Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging. - Vishal Monga; Scott T. Acton; Abd-Krim Seghouane; Arrate Muñoz-Barrutia; Jong Chul Ye (IEEE J. Sel. Top. Signal Process., 2020)

Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks. - Dongwook Lee 005; Won-Jin Moon; Jong Chul Ye (Nat. Mach. Intell., 2020)

Deep learning for tomographic image reconstruction. - Ge Wang 001; Jong Chul Ye; Bruno De Man (Nat. Mach. Intell., 2020)

Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. - Saiprasad Ravishankar; Jong Chul Ye; Jeffrey A. Fessler (Proc. IEEE, 2020)

Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems. - Byeongsu Sim; Gyutaek Oh; Jeongsol Kim; Chanyong Jung; Jong Chul Ye (SIAM J. Imaging Sci., 2020)

Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning. - Mathews Jacob; Merry P. Mani; Jong Chul Ye (IEEE Signal Process. Mag., 2020)

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. - Mathews Jacob; Jong Chul Ye; Leslie Ying; Mariya Doneva (IEEE Signal Process. Mag., 2020)

CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. - Sungjun Lim 001; Hyoungjun Park; Sang-Eun Lee; Sunghoe Chang; Byeongsu Sim; Jong Chul Ye (IEEE Trans. Computational Imaging, 2020)

Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. - Gyutaek Oh; Byeongsu Sim; Hyungjin Chung; Leonard Sunwoo; Jong Chul Ye (IEEE Trans. Computational Imaging, 2020)

Mumford-Shah Loss Functional for Image Segmentation With Deep Learning. - Boah Kim; Jong Chul Ye (IEEE Trans. Image Process., 2020)

Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal. - Yoseob Han; Junyoung Kim 002; Jong Chul Ye (IEEE Trans. Medical Imaging, 2020)

k-Space Deep Learning for Accelerated MRI. - Yoseob Han; Leonard Sunwoo; Jong Chul Ye (IEEE Trans. Medical Imaging, 2020)

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets. - Yujin Oh; Sangjoon Park; Jong Chul Ye (IEEE Trans. Medical Imaging, 2020)

Deep Learning Diffuse Optical Tomography. - Jaejun Yoo 001; Sohail Sabir; Duchang Heo; Kee Hyun Kim; Abdul Wahab 002; Yoonseok Choi; Seul-I Lee; Eun Young Chae; Hak Hee Kim; Young Min Bae; Young-Wook Choi; Seungryong Cho; et al. (IEEE Trans. Medical Imaging, 2020)

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. - Gihyun Kwon; Jong Chul Ye (ICCV, 2021)

Switchable Deep Beamformer For Ultrasound Imaging Using Adain. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (ISBI, 2021)

Unsupervised Deep Learning For Accelerated High Quality Echocardiography. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (ISBI, 2021)

Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (DART/FAIR@MICCAI, 2021)

Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images. - Kwanyoung Kim; Jong Chul Ye (NeurIPS, 2021)

Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. - Byung-Hoon Kim; Jong Chul Ye; Jae-Jin Kim (NeurIPS, 2021)

Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. - Sangjoon Park; Gwanghyun Kim; Jeongsol Kim; Boah Kim; Jong Chul Ye (NeurIPS, 2021)

Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer. - Gwanghyun Kim; Sangjoon Park; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. - Hyungjin Chung; Jaeyoung Huh; Geon Kim; YongKeun Park; Jong Chul Ye (CoRR, 2021)

Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation. - Yujin Oh; Jong Chul Ye (CoRR, 2021)

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (CoRR, 2021)

Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning. - Hyoungjun Park; Myeongsu Na; Bumju Kim; Soohyun Park; Ki Hean Kim; Sunghoe Chang; Jong Chul Ye (CoRR, 2021)

Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. - Hyungjin Chung; Jong Chul Ye (CoRR, 2021)

Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. - Hyungjin Chung; Jaehyun Kim; Jeong Hee Yoon; Jeong Min Lee; Jong Chul Ye (CoRR, 2021)

Unsupervised Deep Learning Methods for Biological Image Reconstruction. - Mehmet Akçakaya; Burhaneddin Yaman; Hyungjin Chung; Jong Chul Ye (CoRR, 2021)

Federated CycleGAN for Privacy-Preserving Image-to-Image Translation. - Joonyoung Song; Jong Chul Ye (CoRR, 2021)

Deep Learning for Ultrasound Beamforming. - Ruud J. G. van Sloun; Jong Chul Ye; Yonina C. Eldar (CoRR, 2021)

DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models. - Gwanghyun Kim; Jong Chul Ye (CoRR, 2021)

Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. - Sangjoon Park; Gwanghyun Kim; Jeongsol Kim; Boah Kim; Jong Chul Ye (CoRR, 2021)

Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN. - Jaeyoung Huh; Shujaat Khan; Sungjin Choi; Dongkuk Shin; Eun Sun Lee; Jong Chul Ye (CoRR, 2021)

DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models. - Boah Kim; Inhwa Han; Jong Chul Ye (CoRR, 2021)

Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. - Hyungjin Chung; Eunju Cha; Leonard Sunwoo; Jong Chul Ye (Medical Image Anal., 2021)

CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement. - Jawook Gu; Tae Seong Yang; Jong Chul Ye; Dong Hyun Yang (Medical Image Anal., 2021)

CycleMorph: Cycle consistent unsupervised deformable image registration. - Boah Kim; Dong Hwan Kim; Seong Ho Park; Jieun Kim; June-Goo Lee; Jong Chul Ye (Medical Image Anal., 2021)

Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. - Hyungjin Chung; Jong Chul Ye (Nat. Mach. Intell., 2021)

Deep learning STEM-EDX tomography of nanocrystals. - Yoseob Han; Jaeduck Jang; Eunju Cha; Junho Lee; Hyungjin Chung; Myoungho Jeong; Tae-Gon Kim; Byeong Gyu Chae; Hee Goo Kim; Shinae Jun; Sungwoo Hwang; Eunha Lee; et al. (Nat. Mach. Intell., 2021)

Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. - Hyungjin Chung; Jaeyoung Huh; Geon Kim; YongKeun Park; Jong Chul Ye (IEEE Trans. Computational Imaging, 2021)

AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. - Jawook Gu; Jong Chul Ye (IEEE Trans. Computational Imaging, 2021)

Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising. - Taesung Kwon; Jong Chul Ye (IEEE Trans. Computational Imaging, 2021)

Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN. - Joonyoung Song; Jaeheon Jeong; Dae-Soon Park; Hyun-Ho Kim; Doo-Chun Seo; Jong Chul Ye (IEEE Trans. Geosci. Remote. Sens., 2021)

Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN. - Junghyun Lee; Jawook Gu; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation. - Gyutaek Oh; Jeong Eun Lee; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning. - DongHun Ryu; Dongmin Ryu; YoonSeok Baek; Hyungjoo Cho; Geon Kim; Young Seo Kim; Yongki Lee; Yoosik Kim; Jong Chul Ye; Hyunseok Min; YongKeun Park (IEEE Trans. Medical Imaging, 2021)

Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN. - Serin Yang; Eung-Yeop Kim; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. - Inhwa Han; Boah Kim; Eung-Yeop Kim; Jong Chul Ye (AICAS, 2022)

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. - Hyungjin Chung; Byeongsu Sim; Jong Chul Ye (CVPR, 2022)

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. - Chanyong Jung; Gihyun Kwon; Jong Chul Ye (CVPR, 2022)

Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. - Kwanyoung Kim; Taesung Kwon; Jong Chul Ye (CVPR, 2022)

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. - Gwanghyun Kim; Taesung Kwon; Jong Chul Ye (CVPR, 2022)

CLIPstyler: Image Style Transfer with a Single Text Condition. - Gihyun Kwon; Jong Chul Ye (CVPR, 2022)

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. - Boah Kim; Inhwa Han; Jong Chul Ye (ECCV (31), 2022)

CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation. - Yujin Oh; Jong Chul Ye (ECCV (21), 2022)

Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. - Jaeyoung Huh; Shujaat Khan; Jong Chul Ye (ICASSP, 2022)

Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. - Chanyong Jung; Joonhyung Lee; Sunkyoung You; Jong Chul Ye (MICCAI (6), 2022)

Diffusion Deformable Model for 4D Temporal Medical Image Generation. - Boah Kim; Jong Chul Ye (MICCAI (1), 2022)

Improving Diffusion Models for Inverse Problems using Manifold Constraints. - Hyungjin Chung; Byeongsu Sim; Dohoon Ryu; Jong Chul Ye (NeurIPS, 2022)

Energy-Based Contrastive Learning of Visual Representations. - Beomsu Kim; Jong Chul Ye (NeurIPS, 2022)

Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. - Sangmin Lee 017; Byeongsu Sim; Jong Chul Ye (CoRR, 2022)

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Chang Min Park; Jong Chul Ye (CoRR, 2022)

Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2022)

A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies. - Yujin Oh; Go Eun Bae; Kyung-Hee Kim; Min-Kyung Yeo; Jong Chul Ye (CoRR, 2022)

Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models. - Beomsu Kim; Jong Chul Ye (CoRR, 2022)

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis. - Sangyun Lee; Hyungjin Chung; Jaehyeon Kim; Jong Chul Ye (CoRR, 2022)

Pyramidal Denoising Diffusion Probabilistic Models. - Dohoon Ryu; Jong Chul Ye (CoRR, 2022)

Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation. - Sangjoon Park; Eun Sun Lee; Jeong Eun Lee; Jong Chul Ye (CoRR, 2022)

Efficient debiasing with contrastive weight pruning. - Geon Yeong Park; Sangmin Lee 017; Sang Wan Lee; Jong Chul Ye (CoRR, 2022)

Self-supervised debiasing using low rank regularization. - Geon Yeong Park; Chanyong Jung; Jong Chul Ye; Sang Wan Lee (CoRR, 2022)

Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry. - Jinho Chang; Jong Chul Ye (CoRR, 2022)

Score-based diffusion models for accelerated MRI. - Hyungjin Chung; Jong Chul Ye (Medical Image Anal., 2022)

Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization. - Gyutaek Oh; Hyokyoung Bae; Hyun-Seo Ahn; Sung-Hong Park; Won-Jin Moon; Jong Chul Ye (Medical Image Anal., 2022)

Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. - Sangjoon Park; Gwanghyun Kim; Yujin Oh; Joon Beom Seo; Sang Min Lee 017; Jin Hwan Kim; Sungjun Moon; Jae-Kwang Lim; Jong Chul Ye (Medical Image Anal., 2022)

DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. - Eunju Cha; Chanseok Lee; Mooseok Jang; Jong Chul Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. - Mehmet Akçakaya; Burhaneddin Yaman; Hyungjin Chung; Jong Chul Ye (IEEE Signal Process. Mag., 2022)

Deep Learning in Biological Image and Signal Processing [From the Guest Editors]. - Erik Meijering; Vince D. Calhoun; Gloria Menegaz; David J. Miller 001; Jong Chul Ye (IEEE Signal Process. Mag., 2022)

Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (IEEE Trans. Medical Imaging, 2022)

Performance Analysis of Fractional Learning Algorithms. - Abdul Wahab 002; Shujaat Khan; Imran Naseem; Jong Chul Ye (IEEE Trans. Signal Process., 2022)

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Sehui Kim; Jong Chul Ye (CVPR, 2023)

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. - Hyungjin Chung; Dohoon Ryu; Michael T. McCann; Marc Louis Klasky; Jong Chul Ye (CVPR, 2023)

Training Debiased Subnetworks with Contrastive Weight Pruning. - Geon Yeong Park; Sangmin Lee 017; Sang Wan Lee; Jong Chul Ye (CVPR, 2023)

Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN. - Jaeyoung Huh; Shujaat Khan; Eun Sun Lee; Jong Chul Ye (ICASSP, 2023)

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. - Suhyeon Lee 004; Hyungjin Chung; Minyoung Park; Jonghyuk Park 006; Wi-Sun Ryu; Jong Chul Ye (ICCV, 2023)

Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. - Serin Yang; Hyunmin Hwang; Jong Chul Ye (ICCV, 2023)

Score-Based Diffusion Models for Bayesian Image Reconstruction. - Michael T. McCann; Hyungjin Chung; Jong Chul Ye; Marc Louis Klasky (ICIP, 2023)

Diffusion Posterior Sampling for General Noisy Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Michael Thompson McCann; Marc Louis Klasky; Jong Chul Ye (ICLR, 2023)

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. - Boah Kim; Yujin Oh; Jong Chul Ye (ICLR, 2023)

Diffusion-based Image Translation using disentangled style and content representation. - Gihyun Kwon; Jong Chul Ye (ICLR, 2023)

Denoising MCMC for Accelerating Diffusion-Based Generative Models. - Beomsu Kim; Jong Chul Ye (ICML, 2023)

Minimizing Trajectory Curvature of ODE-based Generative Models. - Sangyun Lee; Beomsu Kim; Jong Chul Ye (ICML, 2023)

Direct Diffusion Bridge using Data Consistency for Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Jong Chul Ye (NeurIPS, 2023)

Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. - Geon Yeong Park; Jeongsol Kim; Beomsu Kim; Sang Wan Lee; Jong Chul Ye (NeurIPS, 2023)

MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling. - Sangjoon Park; Ik-Jae Lee; Jun Won Kim; Jong Chul Ye (CoRR, 2023)

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. - Gyutaek Oh; Jeong Eun Lee; Jong Chul Ye (CoRR, 2023)

ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts. - Kwanyoung Kim; Yujin Oh; Jong Chul Ye (CoRR, 2023)

Don't Play Favorites: Minority Guidance for Diffusion Models. - Soobin Um; Jong Chul Ye (CoRR, 2023)

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models. - Hyeonho Jeong; Gihyun Kwon; Jong Chul Ye (CoRR, 2023)

Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model. - Jaeyoung Huh; Sangjoon Park; Jeong Eun Lee; Jong Chul Ye (CoRR, 2023)

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. - Hyungjin Chung; Suhyeon Lee 004; Jong Chul Ye (CoRR, 2023)

Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion. - Inhwa Han; Serin Yang; Taesung Kwon; Jong Chul Ye (CoRR, 2023)

LLM Itself Can Read and Generate CXR Images. - Suhyeon Lee 004; Won Jun Kim; Jong Chul Ye (CoRR, 2023)

Data Topology-Dependent Upper Bounds of Neural Network Widths. - Sangmin Lee 017; Jong Chul Ye (CoRR, 2023)

Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI. - Gyutaek Oh; Won-Jin Moon; Jong Chul Ye (CoRR, 2023)

Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance. - Gihyun Kwon; Jong Chul Ye (CoRR, 2023)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 2023)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. - Riccardo Barbano; Alexander Denker; Hyungjin Chung; Tae-Hoon Roh; Simon Arrdige; Peter Maass; Bangti Jin; Jong Chul Ye (CoRR, 2023)

ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF. - Jangho Park; Gihyun Kwon; Jong Chul Ye (CoRR, 2023)

scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain. - Gyutaek Oh; Baekgyu Choi; Inkyung Jung; Jong Chul Ye (CoRR, 2023)

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology. - Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Jin Sung Kim; Jong Chul Ye (CoRR, 2023)

RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization. - Kwanyoung Kim; Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Jin Sung Kim; Yong Bae Kim; Jong Chul Ye (CoRR, 2023)

Breast Ultrasound Report Generation using LangChain. - Jaeyoung Huh; Hyun Jeong Park; Jong Chul Ye (CoRR, 2023)

Tunable image quality control of 3-D ultrasound using switchable CycleGAN. - Jaeyoung Huh; Shujaat Khan; Sungjin Choi; Dongkuk Shin; Jeong Eun Lee; Eun Sun Lee; Jong Chul Ye (Medical Image Anal., 2023)

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. - Zhizhen Zhao 001; Jong Chul Ye; Yoram Bresler (IEEE Signal Process. Mag., 2023)

Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. - Boah Kim; Jeongsol Kim; Jong Chul Ye (IEEE Trans. Image Process., 2023)

Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation. - Sangjoon Park; Jong Chul Ye (IEEE Trans. Medical Imaging, 2023)

Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data. - Chanseok Lee; Gookho Song; Hyeonggeon Kim; Jong Chul Ye; Mooseok Jang (Nat. Mac. Intell., 2023)

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. - Hyungjin Chung; Eun Sun Lee; Jong Chul Ye (IEEE Trans. Medical Imaging, 2023)

The Foundations of Computational Imaging: A signal processing perspective. - W. Clem Karl; James E. Fowler; Charles A. Bouman; Müjdat Çetin; Brendt Wohlberg; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment. - Yujin Oh; Go Eun Bae; Kyung-Hee Kim; Min-Kyung Yeo; Jong Chul Ye (IEEE J. Biomed. Health Informatics, 2023)

One-Shot Adaptation of GAN in Just One CLIP. - Gihyun Kwon; Jong Chul Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Patch-Wise Graph Contrastive Learning for Image Translation. - Chanyong Jung; Gihyun Kwon; Jong Chul Ye (AAAI, 2024)

VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models. - Hyeonho Jeong; Geon Yeong Park; Jong Chul Ye (CVPR, 2024)

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models. - Gihyun Kwon; Simon Jenni; Dingzeyu Li; Joon-Young Lee; Jong Chul Ye; Fabian Caba Heilbron (CVPR, 2024)

Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. - Hyelin Nam; Gihyun Kwon; Geon Yeong Park; Jong Chul Ye (CVPR, 2024)

Self-Supervised Debiasing Using Low Rank Regularization. - Geon Yeong Park; Chanyong Jung; Sangmin Lee 017; Jong Chul Ye; Sang Wan Lee (CVPR, 2024)

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. - Hyungjin Chung; Jong Chul Ye (ECCV (75), 2024)

DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing. - Hyeonho Jeong; Jinho Chang; Geon Yeong Park; Jong Chul Ye (ECCV (30), 2024)

OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. - Kwanyoung Kim; Yujin Oh; Jong Chul Ye (ECCV (77), 2024)

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. - Jeongsol Kim; Geon Yeong Park; Jong Chul Ye (ECCV (82), 2024)

Self-Guided Generation of Minority Samples Using Diffusion Models. - Soobin Um; Jong Chul Ye (ECCV (68), 2024)

Noise2one: One-Shot Image Denoising with Local Implicit Learning. - Kwanyoung Kim; Jong Chul Ye (ICASSP, 2024)

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. - Suhyeon Lee 004; Won Jun Kim; Jinho Chang; Jong Chul Ye (ICLR, 2024)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. - Hyungjin Chung; Suhyeon Lee 004; Jong Chul Ye (ICLR, 2024)

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. - Hyeonho Jeong; Jong Chul Ye (ICLR, 2024)

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. - Beomsu Kim; Gihyun Kwon; Kwanyoung Kim; Jong Chul Ye (ICLR, 2024)

ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF. - Jangho Park; Gihyun Kwon; Jong Chul Ye (ICLR, 2024)

Don't Play Favorites: Minority Guidance for Diffusion Models. - Soobin Um; Suhyeon Lee 004; Jong Chul Ye (ICLR, 2024)

Defining Neural Network Architecture through Polytope Structures of Datasets. - Sangmin Lee 017; Abbas Mammadov; Jong Chul Ye (ICML, 2024)

Prompt-tuning Latent Diffusion Models for Inverse Problems. - Hyungjin Chung; Jong Chul Ye; Peyman Milanfar; Mauricio Delbracio (ICML, 2024)

Defining Neural Network Architecture through Polytope Structures of Dataset. - Sangmin Lee 017; Abbas Mammadov; Jong Chul Ye (CoRR, 2024)

Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. - Yunji Jung; Seokju Lee; Tair Djanibekov; Hyunjung Shim; Jong Chul Ye (CoRR, 2024)

UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation. - Kwanyoung Kim; Jaa-Yeon Lee; Jong Chul Ye (CoRR, 2024)

DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing. - Hyeonho Jeong; Jinho Chang; Geon Yeong Park; Jong Chul Ye (CoRR, 2024)

Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing. - Hangeol Chang; Jinho Chang; Jong Chul Ye (CoRR, 2024)

Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection. - Gihyun Kwon; Jangho Park; Jong Chul Ye (CoRR, 2024)

MindFormer: A Transformer Architecture for Multi-Subject Brain Decoding via fMRI. - Inhwa Han; Jaayeon Lee; Jong Chul Ye (CoRR, 2024)

LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space. - Jinho Chang; Jong Chul Ye (CoRR, 2024)

(Deep) Generative Geodesics. - Beomsu Kim; Michael Puthawala; Jong Chul Ye; Emanuele Sansone (CoRR, 2024)

Amortized Posterior Sampling with Diffusion Prior Distillation. - Abbas Mammadov; Hyungjin Chung; Jong Chul Ye (CoRR, 2024)

Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation. - Yujin Oh; Sangjoon Park; Xiang Li 001; Wang Yi; Jonathan Paly; Jason Efstathiou; Annie Chan; Jun Won Kim; Hwa Kyung Byun; Ik Jae Lee; Jaeho Cho; Chan Woo Wee; et al. (CoRR, 2024)

A Survey on Diffusion Models for Inverse Problems. - Giannis Daras; Hyungjin Chung; Chieh-Hsin Lai; Yuki Mitsufuji; Jong Chul Ye; Peyman Milanfar; Alexandros G. Dimakis; Mauricio Delbracio (CoRR, 2024)

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. - Dohun Lee; Bryan S. Kim; Geon Yeong Park; Jong Chul Ye (CoRR, 2024)

ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction. - Hyungjin Chung; Dohun Lee; Jong Chul Ye (CoRR, 2024)

MinorityPrompt: Text to Minority Image Generation via Prompt Optimization. - Soobin Um; Jong Chul Ye (CoRR, 2024)

Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation. - Jeongsol Kim; Beomsu Kim; Jong Chul Ye (CoRR, 2024)

Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation. - Junhyeok Lee; Yujin Oh; Dahyoun Lee; Hyon Keun Joh; Chul-Ho Sohn; Sung Hyun Baik; Cheol Kyu Jung; Jung Hyun Park; Kyu Sung Choi; Byung-Hoon Kim; Jong Chul Ye (CoRR, 2024)

Free2Guide: Gradient-Free Path Integral Control for Enhancing Text-to-Video Generation with Large Vision-Language Models. - Jaemin Kim; Bryan S. Kim; Jong Chul Ye (CoRR, 2024)

Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts. - Jinho Chang; Hyungjin Chung; Jong Chul Ye (CoRR, 2024)

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models. - Taesung Kwon; Jong Chul Ye (CoRR, 2024)

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation. - Hyeonho Jeong; Chun-Hao Paul Huang; Jong Chul Ye; Niloy J. Mitra; Duygu Ceylan (CoRR, 2024)

Inference-Time Diffusion Model Distillation. - Geon Yeong Park; Sang Wan Lee; Jong Chul Ye (CoRR, 2024)

Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation. - Changsun Lee; Sangjoon Park; Cheong-Il Shin; Woo Hee Choi; Hyun Jeong Park; Jeong Eun Lee; Jong Chul Ye (CoRR, 2024)

Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements. - Gyutaek Oh; Yeonsil Moon; Won-Jin Moon; Jong Chul Ye (NeuroImage, 2024)

Magnitude and angle dynamics in training single ReLU neurons. - Sangmin Lee 017; Byeongsu Sim; Jong Chul Ye (Neural Networks, 2024)

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. - Gyutaek Oh; Sukyoung Jung; Jeong Eun Lee; Jong Chul Ye (IEEE Trans. Computational Imaging, 2024)

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. - Boah Kim; Yujin Oh; Bradford J. Wood; Ronald M. Summers; Jong Chul Ye (Medical Image Anal., 2024)

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology. - Sangjoon Park; Eun Sun Lee; Kyung Sook Shin; Jeong Eun Lee; Jong Chul Ye (Medical Image Anal., 2024)

Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models. - Jaeyoung Huh; Sangjoon Park; Jeong Eun Lee; Jong Chul Ye (IEEE J. Biomed. Health Informatics, 2024)

Fundus Photo Enhancement dataset. - Hyungjin Chung; Se Hie Park; Eui-Sang Chung; Kayoung Yi; Jong Chul Ye (IEEE DataPort, 2024)

MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer. - Sangjoon Park; Ik-Jae Lee; Jun Won Kim; Jong Chul Ye (IEEE J. Biomed. Health Informatics, 2024)

Fundus Image Enhancement Through Direct Diffusion Bridges. - Sehui Kim; Hyungjin Chung; Se Hie Park; Eui-Sang Chung; Kayoung Yi; Jong Chul Ye (IEEE J. Biomed. Health Informatics, 2024)

Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. - Geon Yeong Park; Hyeonho Jeong; Sang Wan Lee; Jong Chul Ye (AAAI, 2025)

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation. - Hyeonho Jeong; Chun-Hao P. Huang; Jong Chul Ye; Niloy J. Mitra; Duygu Ceylan (CVPR, 2025)

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. - Won Jun Kim; Hyungjin Chung; Jaemin Kim; Sangmin Lee; Byeongsu Sim; Jong Chul Ye (CVPR, 2025)

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. - Dohun Lee; Bryan Sangwoo Kim; Geon Yeong Park; Jong Chul Ye (CVPR, 2025)

Optical-Flow Guided Prompt Optimization for Coherent Video Generation. - Hyelin Nam; Jaemin Kim; Dohun Lee; Jong Chul Ye (CVPR, 2025)

Minority-Focused Text-to-Image Generation via Prompt Optimization. - Soobin Um; Jong Chul Ye (CVPR, 2025)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. - Hyungjin Chung; Jeongsol Kim; Geon Yeong Park; Hyelin Nam; Jong Chul Ye (ICLR, 2025)

Simple ReFlow: Improved Techniques for Fast Flow Models. - Beomsu Kim; Yu-Guan Hsieh; Michal Klein; Marco Cuturi; Jong Chul Ye; Bahjat Kawar; James Thornton (ICLR, 2025)

Generalized Consistency Trajectory Models for Image Manipulation. - Beomsu Kim; Jaemin Kim; Jeongsol Kim; Jong Chul Ye (ICLR, 2025)

Regularization by Texts for Latent Diffusion Inverse Solvers. - Jeongsol Kim; Geon Yeong Park; Hyungjin Chung; Jong Chul Ye (ICLR, 2025)

TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. - Gihyun Kwon; Jong Chul Ye (ICLR, 2025)

Solving Video Inverse Problems Using Image Diffusion Models. - Taesung Kwon; Jong Chul Ye (ICLR, 2025)

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler. - Serin Yang; Taesung Kwon; Jong Chul Ye (ICLR, 2025)

Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing. - Naeun Ko; Yonghyun Jeong; Jong Chul Ye (WACV, 2025)

End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding. - Kwanyoung Kim; Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Joongyo Lee; Jin Sung Kim; Yong Bae Kim; Jong Chul Ye (Medical Image Anal., 2025)

Text optimization with latent inversion for non-rigid image editing. - Yunji Jung; Seokju Lee; Tair Djanibekov; Jong Chul Ye; Hyunjung Shim (Pattern Recognit. Lett., 2025)

AI-Based Generative Model for Computer-Based X-Ray Inspection Training System. - Junyoung Kim 002; Gihyun Kwon; Dohoon Ryu; Jong Chul Ye (IEEE Trans. Instrum. Meas., 2025)

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. - Hyungjin Chung; Dohun Lee; Zihui Wu; Byung-Hoon Kim; Katherine L. Bouman; Jong Chul Ye (CoRR, 2025)

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation. - Soobin Um; Beomsu Kim; Jong Chul Ye (CoRR, 2025)

scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders. - Gyutaek Oh; Baekgyu Choi; Seyoung Jin; Inkyung Jung; Jong Chul Ye (CoRR, 2025)

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems. - Jeongsol Kim; Bryan Sangwoo Kim; Jong Chul Ye (CoRR, 2025)

Aligning Text to Image in Diffusion Models is Easier Than You Think. - Jaa-Yeon Lee; Byunghee Cha; Jeongsol Kim; Jong Chul Ye (CoRR, 2025)

Reangle-A-Video: 4D Video Generation as Video-to-Video Translation. - Hyeonho Jeong; Suhyeon Lee 004; Jong Chul Ye (CoRR, 2025)

Single-Step Bidirectional Unpaired Image Translation Using Implicit Bridge Consistency Distillation. - Suhyeon Lee 004; Kwanyoung Kim; Jong Chul Ye (CoRR, 2025)

Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion Model. - Jangho Park; Taesung Kwon; Jong Chul Ye (CoRR, 2025)

InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. - Noam Elata; Hyungjin Chung; Jong Chul Ye; Tomer Michaeli; Michael Elad (CoRR, 2025)

Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models. - Dongjin Seo; Soobin Um; Sangbin Lee; Jong Chul Ye; Haejun Chung (CoRR, 2025)

Guided Diffusion Sampling on Function Spaces with Applications to PDEs. - Jiachen Yao; Abbas Mammadov; Julius Berner; Gavin Kerrigan; Jong Chul Ye; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2025)

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment. - Bryan Sangwoo Kim; Jeongsol Kim; Jong Chul Ye (CoRR, 2025)

Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs. - Jaemin Kim; Hangeol Chang; Hyunmin Hwang; Choonghan Kim; Jong Chul Ye (CoRR, 2025)

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing. - Jeongsol Kim; Yeobin Hong; Jong Chul Ye (CoRR, 2025)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. - Riccardo Barbano; Alexander Denker; Hyungjin Chung; Tae-Hoon Roh; Simon R. Arridge; Peter Maass; Bangti Jin; Jong Chul Ye (IEEE Trans. Medical Imaging, 2025)

Diffusion models for inverse problems. - Hyungjin Chung; Jeongsol Kim; Jong Chul Ye (CoRR, 2025)