Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.

Gay SS, Kisling KD, Anderson BM, Zhang L, Rhee DJ, Nguyen C, Netherton T, Yang J, Brock K, Jhingran A, Simonds H, Klopp A, Beadle BM, Court LE, Cardenas CE

Open source

DOI: 10.1002/acm2.14131
Published: 2023 Dec
Container: Journal of applied clinical medical physics
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1002/acm2.14131,
  title = {Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.},
  author = {Gay SS and Kisling KD and Anderson BM and Zhang L and Rhee DJ and Nguyen C and Netherton T and Yang J and Brock K and Jhingran A and Simonds H and Klopp A and Beadle BM and Court LE and Cardenas CE},
  year = {2023},
  journal = {Journal of applied clinical medical physics},
  doi = {10.1002/acm2.14131},
  url = {https://doi.org/10.1002/acm2.14131}
}

RIS

TY  - JOUR
TI  - Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.
AU  - Gay SS
AU  - Kisling KD
AU  - Anderson BM
AU  - Zhang L
AU  - Rhee DJ
AU  - Nguyen C
AU  - Netherton T
AU  - Yang J
AU  - Brock K
AU  - Jhingran A
AU  - Simonds H
AU  - Klopp A
AU  - Beadle BM
AU  - Court LE
AU  - Cardenas CE
PY  - 2023
JO  - Journal of applied clinical medical physics
DO  - 10.1002/acm2.14131
UR  - https://doi.org/10.1002/acm2.14131
ER  -

APA

SS, G., KD, K., BM, A., L, Z., DJ, R., C, N., T, N., J, Y., K, B., A, J., H, S., A, K., BM, B., LE, C., & CE, C. (2023). Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.. Journal of applied clinical medical physics. https://doi.org/10.1002/acm2.14131

Source records

pubmed · retrieved 2026-09-25T17:15:36.858Z