Inverse neural network for particle detection in a solid-state-devices

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United States of America

PATENT NO 12223431
APP PUB NO 20210133589A1
SERIAL NO

16850306

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Abstract

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For training to and/or estimating location, energy level, and/or time of occurrence of incident radiation on a solid-state detector, a machine-learned model, such as a neural network, performs the inverse problem. An estimate of the location, energy level, and/or time is output by the machine-learned model in response to input of the detected signal (e.g., voltage over time). The estimate may account for material property variation of the solid-state detector in a rapid and easily calculated way, and with a minimal amount of data.

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Patent Owner(s)

  • SIEMENS MEDICAL SOLUTIONS USA, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Banerjee, Srutarshi Chicago, US 5 2
Rodrigues, Miesher Buffalo Grove, US 24 11

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