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Showing results 1 to 7 of 7

1
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

Ye, Jong Chul; Han, Yoseob; Cha, Eunju, SIAM JOURNAL ON IMAGING SCIENCES, v.11, no.2, pp.991 - 1048, 2018-07

2
Deep learning STEM-EDX tomography of nanocrystals

Han, Yoseob; Jang, Jaeduck; Cha, Eunju; Lee, Junho; Chung, Hyungjin; Jeong, Myoungho; Kim, Tae-Gon; et al, Nature Machine Intelligence, v.3, pp.267 - 274, 2021-03

3
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval

Cha, Eunju; Lee, Chanseok; Jang, Mooseok; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9931 - 9943, 2022-12

4
Low-Dose Sparse-View HAADF-STEM-EDX Tomography of Nanocrystals Using Unsupervised Deep Learning

Cha, Eunju; Chung, Hyungjin; Jang, Jaeduck; Lee, Junho; Lee, Eunha; Ye, Jong Chul, ACS NANO, v.16, no.7, pp.10314 - 10326, 2022-06

5
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation

Ko, Minsu; Cha, Eunju; Suh, Sungjoo; Lee, Huijin; Han, Jae-Joon; Shin, Jinwoo; Han, Bohyung, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18280 - 18289, IEEE COMPUTER SOC, 2022-06

6
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data

Chung, Hyungjin; Cha, Eunju; Sunwoo, Leonard; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.71, 2021-07

7
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01

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