International Publications
International Publications
*: equal contribution, †: corresponding author
Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robst Text-to-Image Diffusion [project]
J. Kim, P. Kim, S. Kim, S. Park, E. Cha†, and K. H. Jin†
International Conference on Computer Vision (ICCV), 2025
Identity-preserving Distillation Sampling by Fixed-Point Iterator [project]
S. Kim, J. Kim, S. Park, D. Ahn, J. Kang, S. Kim†, K. H. Jin†, and E. Cha†
Computer Vision and Pattern Recognition (CVPR), 2025
Regularization by denoising diffusion process meets deep relaxation in phase [paper]
E. Cha†
Image and Vision Computing (IMAVIS), vol. 151, p.105282, 2024
Unpaired training for AFM image processing of R2R-printed CNTs [paper]
S. Park, S. Na, S. H. Song, and E. Cha†
European Signal Processing Conference (EUSIPCO), Lyon, France, 2024
RED-PhaseCut: A Variational Sampler using Diffusion Model for Fourier Phase Retrieval [paper]
E. Cha†
European Signal Processing Conference (EUSIPCO), Lyon, France, 2024
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval [paper]
E. Cha, C. Lee, M. Jang, and J. C. Ye†
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 44, no. 12, pp. 9931-9943, 2022
Low-dose sparse-view haadf-stem-edx tomography of nanocrystals using unsupervised deep learning [paper]
E. Cha*, H. Chung*, J. Jang, J. Lee, E. Lee, and J. C. Ye†
ACS nano, vol. 16, no. 7, pp. 10 314–10 326, 2022.
Self-supervised dense consistency regularization for image-to-image translation [paper]
M. Ko*, E. Cha*, S. Suh, H. Lee, J.-J. Han, J. Shin, and B. Han†
Computer Vision and Pattern Recognition (CVPR), 2022
Two-stage deep learning for accelerated 3d time-of-flight mra without matched training data [paper]
H. Chung, E. Cha, L. Sunwoo, and J. C. Ye†
Medical Image Analysis (MedIA), vol. 71, p. 102047, 2021.
Y. Han*, J. Jang*, E. Cha*, J. Lee*, H. Chung*, M. Jeong, T.-G. Kim, B. G. Chae, H. G. Kim, S. Jun, S. Hwang, E. Lee†, and J. C. Ye†
Nature Machine Intelligence (NMI), vol. 3, no. 3, pp. 267–274, 2021.
**Selected as a front cover image**
Unpaired training of deep learning tMRA for flexible spatio-temporal resolution [paper]
E. Cha, H. Chung, E. Y. Kim, and J. C. Ye†
IEEE Transactions on Medical Imaging (IEEE TMI), vol. 40, no. 1, pp. 166–179, 2020.
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy image [paper]
M. Kang, E. Cha, E. Kang, J. C. Ye, N. Her, J. Oh, D. Nam, M. Kim†, S. Yang†
Biomedical Signal Processing and Control (BSPC), vol. 58, 2020.
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction [paper]
E. Cha, G. Oh, and J. C. Ye†
Special Issue on Domain Enriched Learning for Medical Imaging, IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP), vol. 14, no. 6, pp. 1292-1305, 2020.
**Selected as a front cover image**
Unsupervised Merge-Residual Learning for Time-of-Flight MRI
H. Chung, E. Cha, L. S., and J. C. Ye†
Workshop on Deep Learning for Biomedical Image Reconstruction of 2020 IEEE Symposium on Biomedical Imaging (ISBI), Iowa City, USA, 2020.
Improved TWIST Imaging using k-Space Deep Learning
E. Cha, E. Y. Kim, and J. C. Ye†
2019 International Society for Magnetic Resonance in Medicine (ISMRM), Montréal, Canada, 2019
Improved Time-Resolved MRA using k-Space Deep Learning
E. Cha, E. Y. Kim, and J. C. Ye†
International workshop on Machine Learning for Medical Image Reconstruction (MLMIR), Granada, Spain, 2018.
High Spatio-Temporal TWIST Imaging using Deep Learning
E. Cha, E. Y. Kim, and J. C. Ye†
Machine learning workshop I of ISMRM, Pacific Grove, USA, 2018.
Deep convolutional framelets: A general deep learning framework for inverse problems [paper]
J. C. Ye†, Y. Han, and E. Cha
SIAM Journal on Imaging Sciences (SIIMS), vol. 11(2), pp. 991-1048, 2018.
True Temporal Resolution TWIST Imaging using Annihilating Filter-based Low-rank wrap around Hankel Matrix
E. Cha, K. H. Jin, E. Y. Kim, and J. C. Ye†
2017 International Society for Magnetic Resonance in Medicine (ISMRM), Hawaii, USA, 2017.
Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach
E. Cha, K. H. Jin, D. Lee, E. Y. Kim, S. H. Choi, and J. C. Ye†
2016 IEEE Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 2016.
Enhancement of Temporal Resolution of TWIST using Annihilating Filter based Low rank Hankel Matrix Approach
E. Cha, K. H. Jin, D. Lee, E. Y. Kim, S. H. Choi, and J. C. Ye†
2016 International Congress on Magnetic Resonance Imaging (ICMRI), Seoul, South Korea, 2016.