Browse "Dept. of Nuclear and Quantum Engineering(원자력및양자공학과)" by Subject deep learning
Showing results 1 to 5 of 5
| A feasibility study on deep-neural-network-based dose-neutral dual-energy digital breast tomosynthesis Kim, Hyeongseok; Lee, Hoyeon; Lee, Seoyoung; Choi, Young-Wook; Choi, Young Jin; Kim, Kee Hyun; Seo, Wontaek; et al, MEDICAL PHYSICS, v.50, no.2, pp.791 - 807, 2023-02 |
Development of an Information Security-Enforced EEG-Based Nuclear Operators' Fitness for Duty Classification System Kim, Jung Hwan; Cho, Younggeol; Suh, Young A.; Yim, Man-Sung, IEEE ACCESS, v.9, pp.72535 - 72546, 2021-05 |
| Homogenization of multi-institutional chest x-ray images in various data transformation schemes Kim, Hyeongseok; Lee, Seoyoung; Shim, Woo Jung; Choi, Min-Seong; Cho, Seungryong, JOURNAL OF MEDICAL IMAGING, v.10, no.06, 2023-11 |
| Pseudo-Gamma Spectroscopy Based on Plastic Scintillation Detectors Using Multitask Learning Jeon, Byoungil; Kim, Junha; Lee, Eunjoong; Moon, Myungkook; Cho, Gyuseong, SENSORS, v.21, no.3, 2021-02 |
| Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep Autoencoder Jeon, Byoungil; Lee, Youhan; Moon, Myungkook; Kim, Jongyul; Cho, Gyuseong, SENSORS, v.20, no.10, 2020-05 |
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- 5,616 Conference
- 430 Patent
- 918 Thesis(Master)
- 556 Thesis(Ph.D)
Open Access
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