Eunju Cha

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 15

Top Topics

Temporal Resolution

Microscopy Images

Weakly Supervised

Inverse Problems

Top Venues

IEEE J. Sel. Top. Signal Process.

Biomed. Signal Process. Control.

Publications

Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. CVPR (2022)
Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. Medical Image Anal. 71 (2021)
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Trans. Medical Imaging 40 (1) (2021)
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
Deep learning STEM-EDX tomography of nanocrystals. Nat. Mach. Intell. 3 (3) (2021)
Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. CoRR (2020)
Eunju Cha, Gyutaek Oh, Jong Chul Ye
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Mi-Sun Kang, Eunju Cha, Eunhee Kang, Jong Chul Ye, Nam-Gu Her, Jeong-Woo Oh, Do-Hyun Nam, Myoung-Hee Kim, Sejung Yang
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. Biomed. Signal Process. Control. 58 (2020)
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. CoRR (2020)
Eunju Cha, Gyutaek Oh, Jong Chul Ye
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. CoRR (2020)
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. CoRR (2020)
Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
Boosting CNN beyond Label in Inverse Problems. CoRR (2019)
Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
Improved Time-Resolved MRA Using k-Space Deep Learning. MLMIR@MICCAI (2018)
Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. CoRR (2018)
Jong Chul Ye, Yoseob Han, Eunju Cha
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems. SIAM J. Imaging Sci. 11 (2) (2018)