In-pixel AI for lossy data compression at source for X-ray detectors

Published in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2023

FieldValue
Publication typeJournal article
AuthorsManuel B Valentin, Giuseppe Di Guglielmo, Danny Noonan, Priyanka Dilip, Panpan Huang, Adam Quinn, Thomas Zimmerman, Davide Braga, Seda Ogrenci, Chris Jacobsen, others
VenueNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Year2023
Citations9
Tagspixel, detectors, doi
Volume1057
Pages168665
PublisherNorth-Holland

Abstract

In-pixel AI for lossy data compression at source for X-ray detectors.

View publication

BibTeX

@article{valentin2023pixel,
    author = "Valentin, Manuel B and Di Guglielmo, Giuseppe and Noonan, Danny and Dilip, Priyanka and Huang, Panpan and Quinn, Adam and Zimmerman, Thomas and Braga, Davide and Ogrenci, Seda and Jacobsen, Chris and others",
    title = "In-pixel AI for lossy data compression at source for X-ray detectors",
    journal = "Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",
    volume = "1057",
    pages = "168665",
    year = "2023",
    publisher = "North-Holland"
}

Recommended citation: Manuel B Valentin, Giuseppe Di Guglielmo, Danny Noonan, Priyanka Dilip, Panpan Huang, Adam Quinn, Thomas Zimmerman, Davide Braga, Seda Ogrenci, Chris Jacobsen, others (2023). "In-pixel AI for lossy data compression at source for X-ray detectors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1057, 168665.
Download Paper