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Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector

Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021

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Recommended citation: C. Clement et al., "Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 3366-3369, doi: 10.1109/EMBC46164.2021.9630934. http://dx.doi.org/10.1109/embc46164.2021.9630934

Concept development of an on-chip PET system

Published in EJNMMI Physics, 2022

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Recommended citation: Clement, C., Birindelli, G., Pizzichemi, M. et al. Concept development of an on-chip PET system. EJNMMI Phys 9, 38 (2022). https://doi.org/10.1186/s40658-022-00467-x http://dx.doi.org/10.1186/s40658-022-00467-x

Predicting Gamma-Ray Interaction Positions for the Development of an On-Chip PET System Using Deep Learning

Published: April 15, 2021

Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector

Published: November 02, 2021

Concept Development of an On-Chip PET System

Published: April 29, 2022

Development of a PET System Capable of Imaging Organs-on-Chips

Published: October 16, 2022

Deep Learning-based Classification Improves Clinical Interpretation of [18F]florzolotau Tau PET Imaging

Published: October 16, 2022