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Noise reduction using a Bayesian penalized-likelihood reconstruction algorithm on a time-of-flight PET-CT scanner

Overview of attention for article published in EJNMMI Physics, December 2019
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49 Mendeley
Title
Noise reduction using a Bayesian penalized-likelihood reconstruction algorithm on a time-of-flight PET-CT scanner
Published in
EJNMMI Physics, December 2019
DOI 10.1186/s40658-019-0264-9
Pubmed ID
Authors

Paulo R. R. V. Caribé, M. Koole, Yves D’Asseler, B. Van Den Broeck, S. Vandenberghe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Student > Master 5 10%
Other 4 8%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 7 14%
Unknown 19 39%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Physics and Astronomy 10 20%
Engineering 3 6%
Computer Science 2 4%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 21 43%