Neural network methods for radiation detectors and imaging

Neural network methods for radiation detectors and imaging

Recent advances in image data proccesing through deep learning allow for new optimization and performance-enhancement schemes for radiation detectors and imaging hardware. This enables radiation experiments, which includes photon sciences in synchrotron and X-ray free electron lasers as a subclass,...

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Bibliographic Details
Main Authors:	S. Lin, S. Ning, H. Zhu, T. Zhou, C. L. Morris, S. Clayton, M. J. Cherukara, R. T. Chen, Zhehui Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Physics
Subjects:	neural networks ONN radiation detectors radiographic imaging and tomography AI edge computing
Online Access:	https://www.frontiersin.org/articles/10.3389/fphy.2024.1334298/full

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