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1 Ergebnisse
1
D2GAN: A Dual-Domain Generative Adversarial Network for Hig..:
, In:
2024 International Joint Conference on Neural Networks (IJCNN)
,
Jiang, Li
;
Cui, Jiaqi
;
Xu, Yuanyuan
... - p. 1-8 , 2024
Link:
https://doi.org/10.1109/IJCNN60899.2024.10650280
RT T1 <cTitle>2024 International Joint Conference on Neural Networks (IJCNN)</cTitle>: T1 <Title>D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10650280&Exemplar=1&LAN=DE A1 Jiang, Li A1 Cui, Jiaqi A1 Xu, Yuanyuan A1 Yan, Binyu A1 Zhou, Jiliu A1 Wang, Yan A1 Shen, Dinggang YR 2024 SN 2161-4407 K1 Frequency-domain analysis K1 Neural networks K1 Nuclear imaging K1 Reconstruction algorithms K1 Generative adversarial networks K1 Feature extraction K1 Distortion K1 Positron emission tomography (PET) K1 Generative adversarial network (GAN) K1 PET reconstruction K1 Dual-domain learning SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN60899.2024.10650280 DO https://doi.org/10.1109/IJCNN60899.2024.10650280 SF ELIB - SuUB Bremen
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