Eun Ju Cha

According to our database, Eun Ju Cha authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Regularization by denoising diffusion process meets deep relaxation in phase.

Eunju Cha

Image Vis. Comput., 2024

A Noise is Worth Diffusion Guidance.

Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, Seonhwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim

CoRR, 2024

Unpaired Training for AFM Image Processing of R2R-Printed CNTs.

Soobin Park, Soyoung Na, Seung Hyun Song, Eunju Cha

Proceedings of the 32nd European Signal Processing Conference, 2024

RED-PhaseCut: A Variational Sampler Using Diffusion Model for Fourier Phase Retrieval.

Eunju Cha

Proceedings of the 32nd European Signal Processing Conference, 2024

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

Self-Supervised Dense Consistency Regularization for Image-to-Image Translation.

Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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, Jong Chul Ye

Nat. Mach. Intell., 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

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

Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution.

Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye

CoRR, 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

2019

Boosting CNN beyond Label in Inverse Problems.

Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye

CoRR, 2019

2018

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems.

Jong Chul Ye, Yoseob Han, Eunju Cha

SIAM J. Imaging Sci., 2018

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

Eunju Cha, Eung-Yeop Kim, Jong Chul Ye

CoRR, 2018

Improved Time-Resolved MRA Using k-Space Deep Learning.

Eunju Cha, Eung-Yeop Kim, Jong Chul Ye

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

2016

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach.

Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee, Eung-Yeop Kim, Seung Hong Choi, Jong Chul Ye

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016