차은주 연구실
숙명여자대학교 본교(제1캠퍼스) 지능형전자시스템전공
차은주 교수
Tomography
Deep Learning
Image Processing
발행물
전체 논문
9
1
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval
E. Cha, C. Lee, M. Jang, J. C. Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
2
Low-dose sparse-view haadf-stem-edx tomography of nanocrystals using unsupervised deep learning
E. Cha, H. Chung, J. Jang, J. Lee, E. Lee, J. C. Ye
ACS nano, 2022
3
Two-stage deep learning for accelerated 3d time-of-flight mra without matched training data
H. Chung, E. Cha, L. Sunwoo, J. C. Ye
Medical Image Analysis, 2021
4
Deep learning stem-edx tomography of nanocrystals
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, J. C. Ye
Nature Machine Intelligence, 2021
5
Unpaired training of deep learning tmra for flexible spatio-temporal resolution
E. Cha, H. Chung, E. Y. Kim, J. C. Ye
IEEE Transactions on Medical Imaging, 2020
6
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy image
M. Kang, E. Cha, E. Kang, J. C. Ye, N. Her, J. Oh, D. Nam, M. Kim, S. Yang
Biomedical Signal Processing and Control, 2020
7
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
E. Cha, Gyutaek Oh, Jong Chul Ye
Special Issue on Domain Enriched Learning for Medical Imaging, IEEE Journal of Selected Topics in Signal Processing, 2020
8
Deep convolutional framelets: A general deep learning framework for inverse problems
J. C. Ye, Y. Han, E. Cha
SIAM Journal on Imaging Sciences, 2018
9
A general deep learning framework for inverse problems
SIAM Journal on Imaging Sciences, 2018