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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Deep learning STEM-EDX tomography of nanocrystals Han, Yoseob; Jang, Jaeduck; Cha, Eunju; Lee, Junho; Chung, Hyungjin; Jeong, Myoungho; Kim, Tae-Gon; Chae, Byeong Gyu; Kim, Hee Goo; Jun, Shinae; Hwang, Sungwoo; Lee, Eunha; Ye, Jong Chul, Nature Machine Intelligence, v.3, pp.267 - 274, 2021-03 | |
| 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 | |
| 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 | |
| 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 | |
| Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN Chung, Hyungjin; Ye, Jong Chul, NATURE MACHINE INTELLIGENCE, v.3, no.10, pp.861 - 863, 2021-10 | |
| 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 | |
| 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 | |
| Score-based diffusion models for accelerated MRI Chung, Hyungjin; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.80, 2022-08 |
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