| Residential College | false |
| Status | 已發表Published |
| Initial Investigation of Using a Generative Adversarial Network for Denoising in Dual Gating Myocardial Perfusion SPECT | |
G. S. P. Mok1,2 ; Q. Zhang1 ; X. Cun3; D. Zhang1,2; H. Pretorius2; M. A. King2
| |
| 2018 | |
| Conference Name | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference |
| Conference Date | 10 – 17 November 2018 |
| Conference Place | Sydney |
| Document Type | Conference paper |
| Collection | Faculty of Health Sciences DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
| Affiliation | 1.University of Macau, Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, Macau, China 2.University of Massachusetts Medical School, Department of Radiology, Worcester, Massachusetts, United States of America 3.University of Macau, Department of Computer and Information Science, Macau, China |
| First Author Affilication | Faculty of Science and Technology |
| Recommended Citation GB/T 7714 | G. S. P. Mok,Q. Zhang,X. Cun,et al. Initial Investigation of Using a Generative Adversarial Network for Denoising in Dual Gating Myocardial Perfusion SPECT[C], 2018. |
| APA | G. S. P. Mok., Q. Zhang., X. Cun., D. Zhang., H. Pretorius., & M. A. King (2018). Initial Investigation of Using a Generative Adversarial Network for Denoising in Dual Gating Myocardial Perfusion SPECT. . |
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