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Showing results 1 to 7 of 7

1
Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy

Park, Hyoungjun; Na, Myeongsu; Kim, Bumju; Park, Soohyun; Kim, Ki Hean; Chang, Sunghoe; Ye, Jong Chul, NATURE COMMUNICATIONS, v.13, no.1, 2022-06

2
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications

Zhao, Zhizhen; Ye, Jong Chul; Bresler, Yoram, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.1, pp.148 - 163, 2023-01

3
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

4
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain

Chung, Hyungjin; Huh, Jaeyoung; Kim, Geon; Park, Yong Keun; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.747 - 758, 2021-07

5
Multi-domain CT translation by a routable translation network

Kim, Hyunjong; Oh, Gyutaek; Seo, Joon Beom; Hwang, Hye Jeon; Lee, Sang Min; Yun, Jihye; Ye, Jong Chul, PHYSICS IN MEDICINE AND BIOLOGY, v.67, no.21, 2022-11

6
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03

7
Wavelet subband discriminator for efficient unsupervised chest X-ray image restoration

Song, Joonyoung; Ye, Jong Chul, MEDICAL PHYSICS, v.50, no.4, pp.2263 - 2278, 2023-04

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