Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance
- DOI
- 10.1186/s41747-025-00651-5
- Published
- 2026-02-09
- Container
- European Radiology Experimental
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s41747-025-00651-5,
title = {Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance},
author = {Maria Vaccaro and Enrico Rosa and Elisa Placidi and Alessia Guarnera and Aurelio Secinaro and Carlo Gandolfo and Maria Carmen Garganese and Antonio Napolitano},
year = {2026},
journal = {European Radiology Experimental},
doi = {10.1186/s41747-025-00651-5},
url = {https://doi.org/10.1186/s41747-025-00651-5}
}RIS
TY - JOUR TI - Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance AU - Maria Vaccaro AU - Enrico Rosa AU - Elisa Placidi AU - Alessia Guarnera AU - Aurelio Secinaro AU - Carlo Gandolfo AU - Maria Carmen Garganese AU - Antonio Napolitano PY - 2026 JO - European Radiology Experimental DO - 10.1186/s41747-025-00651-5 UR - https://doi.org/10.1186/s41747-025-00651-5 ER -
APA
Vaccaro, M., Rosa, E., Placidi, E., Guarnera, A., Secinaro, A., Gandolfo, C., Garganese, M. C., & Napolitano, A. (2026). Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance. European Radiology Experimental. https://doi.org/10.1186/s41747-025-00651-5
Source records
- crossref · retrieved 2026-09-25T20:11:13.257Z