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Journal of Nuclear Medicine

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Meeting ReportInstrumentation & Data Analysis Track

Improved myocardial perfusion PET imaging using artificial neural networks

Xinhui Wang, Bao Yang, Xiangzhen Gao and Jing Tang
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 27;
Xinhui Wang
1Oakland University Rochester MI United States
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Bao Yang
1Oakland University Rochester MI United States
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Xiangzhen Gao
1Oakland University Rochester MI United States
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Jing Tang
1Oakland University Rochester MI United States
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Article Information

vol. 59 no. supplement 1 27

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online May 23, 2018.

Copyright & Usage 
© 2018

Author Information

  1. Xinhui Wang1,
  2. Bao Yang1,
  3. Xiangzhen Gao1 and
  4. Jing Tang1
  1. 1Oakland University Rochester MI United States

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Journal of Nuclear Medicine
Vol. 59, Issue supplement 1
May 1, 2018
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Improved myocardial perfusion PET imaging using artificial neural networks
Xinhui Wang, Bao Yang, Xiangzhen Gao, Jing Tang
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 27;

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Improved myocardial perfusion PET imaging using artificial neural networks
Xinhui Wang, Bao Yang, Xiangzhen Gao, Jing Tang
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 27;
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Instrumentation & Data Analysis Track

  • Deep Learning Based Kidney Segmentation for Glomerular Filtration Rate Measurement Using Quantitative SPECT/CT
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