Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset.

Journal Information

Full Title: EJNMMI Phys

Abbreviation: EJNMMI Phys

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology, Nuclear Medicine & Medical Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsM. Lassmann has received research Grants by IPSEN Pharma and Nordic Nanovector. No other potential conflicts of interest relevant to this article exist. Competing interests M. Lassmann has received research Grants by IPSEN Pharma and Nordic Nanovector. No other potential conflicts of interest relevant to this article exist."

Evidence found in paper:

"Funding Open Access funding enabled and organized by Projekt DEAL. This study was funded by a grant of the German Research Foundation (Deutsche Forschungsgemeinschaft TR 1380/1-1), the Swedish Cancer Foundation (Contracts 180747 and 21 1754 Pj 01 H), and the Mrs. Berta Kamprad Foundation (FBKS 2019-44 and FBKS 2020-13). The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. This publication was supported by the Open Access Publication Fund of the University of Wuerzburg."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025