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3 허광해, "영상에서 패치기반 CNN 모형을 이용한 잡음제거" 한국데이터정보과학회 30 (30): 349-363, 2019
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1 정의환, "핵의학 감마카메라 정도관리의 딥러닝 적용" 대한방사선과학회 43 (43): 461-467, 2020
2 김영재, "의료 영상에 최적화된 딥러닝 모델의 개발" 대한영상의학회 81 (81): 1274-1289, 2020
3 허광해, "영상에서 패치기반 CNN 모형을 이용한 잡음제거" 한국데이터정보과학회 30 (30): 349-363, 2019
4 Chen KT, "Ultra low dose 18F-flor-betaben amyloid PET imaging using deep learning with multi contrast MRI inputs" 290 (290): 649-656, 2019
5 Ronneberger O, "U-net:Convolutional networks for biomedical image segmentation" Springer 234-241, 2015
6 Chen Y, "Trainable nonlinear reaction diffusion : A flexible framework for fast and effective image restoration" 39 (39): 1256-1272, 2017
7 Hofheinz F, "Suitability of bilateral filtering for edge-preserving noise reduction in PET" 1 : 23-, 2011
8 Jeong YJ, "Restoration of amyloid PET images obtained with short time data using a generative adversarial networks framework" 11 : 4825-, 2021
9 Anwar SM, "Real image denoising with feature attention" 2019
10 조영현, "PET/MR 영상에서의 팬텀을 활용한 노이즈 감소를 위한 변형된 중간값 위너필터의 적용 효율성 연구" 대한방사선과학회 44 (44): 225-229, 2021
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