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Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications

Crossref DOI link: https://doi.org/10.1038/s41598-025-03900-0

Published Online: 2025-06-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kaphle, Amrit

Jayarathna, Sandun

Cho, Sang Hyun
Funding

Funding for this research was provided by:

National Institutes of Health (R01CA257241)

National Institutes of Health (R01CA257241)
License Information

Text and Data Mining valid from 2025-06-04

Version of Record valid from 2025-06-04
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Article History

Received: 13 February 2025

Accepted: 23 May 2025

First Online: 4 June 2025

Declarations

:

: The authors declare no competing interests.

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