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)

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

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

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

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

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)

Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; 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)

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)

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)

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)

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 (CVPR, 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)

RED-PhaseCut: A Variational Sampler Using Diffusion Model for Fourier Phase Retrieval. - Eunju Cha (EUSIPCO, 2024)

Unpaired Training for AFM Image Processing of R2R-Printed CNTs. - Soobin Park; Soyoung Na; Seung Hyun Song; Eunju Cha (EUSIPCO, 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)

Regularization by denoising diffusion process meets deep relaxation in phase. - Eunju Cha (Image Vis. Comput., 2024)

Identity-preserving Distillation Sampling by Fixed-Point Iterator. - Seonhwa Kim; Jiwon Kim; Soobin Park; Donghoon Ahn; Jiwon Kang; Seungryong Kim; Kyong Hwan Jin; Eunju Cha (CVPR, 2025)

Haar Wavelet-Based Representation Learning for Unpaired Image-to-Image Translation. - Soobin Park; Seohyeon Yoo; Nabin Jeong; Eunju Cha (IEEE Access, 2025)