Radioactive hot-spot localisation and identification using deep learning

Filipe Mendes, Miguel Barros, Alberto Vale, Bruno Gonçalves

Open source

DOI: 10.1088/1361-6498/ac1a5c
Published: 2022-01-18
Container: Journal of Radiological Protection
Publisher: IOP Publishing
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. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1088/1361-6498/ac1a5c,
  title = {Radioactive hot-spot localisation and identification using deep learning},
  author = {Filipe Mendes and Miguel Barros and Alberto Vale and Bruno Gonçalves},
  year = {2022},
  journal = {Journal of Radiological Protection},
  doi = {10.1088/1361-6498/ac1a5c},
  url = {https://doi.org/10.1088/1361-6498/ac1a5c}
}

RIS

TY  - JOUR
TI  - Radioactive hot-spot localisation and identification using deep learning
AU  - Filipe Mendes
AU  - Miguel Barros
AU  - Alberto Vale
AU  - Bruno Gonçalves
PY  - 2022
JO  - Journal of Radiological Protection
DO  - 10.1088/1361-6498/ac1a5c
UR  - https://doi.org/10.1088/1361-6498/ac1a5c
ER  -

APA

Mendes, F., Barros, M., Vale, A., & Gonçalves, B. (2022). Radioactive hot-spot localisation and identification using deep learning. Journal of Radiological Protection. https://doi.org/10.1088/1361-6498/ac1a5c

Source records

crossref · retrieved 2026-11-10T16:57:42.219Z