文献
J-GLOBAL ID:201802227100044555
整理番号:18A0938693
低線量における高品質PET画像推定のための3D条件付き生成敵対ネットワーク【JST・京大機械翻訳】
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
著者 (13件):
Wang Yan
(School of Computer Science, Sichuan University, China)
,
Yu Biting
(School of Computing and Information Technology, University of Wollongong, Australia)
,
Wang Lei
(School of Computing and Information Technology, University of Wollongong, Australia)
,
Zu Chen
(School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China)
,
Lalush David S.
(Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, NC, USA)
,
Lin Weili
(Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA)
,
Wu Xi
(School of Computer Science, Chengdu University of Information Technology, China)
,
Zhou Jiliu
(School of Computer Science, Sichuan University, China)
,
Zhou Jiliu
(School of Computer Science, Chengdu University of Information Technology, China)
,
Shen Dinggang
(Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA)
,
Shen Dinggang
(Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, South Korea)
,
Zhou Luping
(School of Electrical and Information Engineering, University of Sydney, Australia)
,
Zhou Luping
(School of Computing and Information Technology, University of Wollongong, Australia)
資料名:
NeuroImage
(NeuroImage)
巻:
174
ページ:
550-562
発行年:
2018年
JST資料番号:
W3139A
ISSN:
1053-8119
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)