Leveraging Transformers-based models and linked data for deep phenotyping in radiology
- DOI
- 10.1016/j.cmpb.2024.108567
- Published
- 2025-03
- Container
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- 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:10.1016/j.cmpb.2024.108567,
title = {Leveraging Transformers-based models and linked data for deep phenotyping in radiology},
author = {Lluís-F. Hurtado and Luis Marco-Ruiz and Encarna Segarra and Maria Jose Castro-Bleda and Aurelia Bustos-Moreno and Maria de la Iglesia-Vayá and Juan Francisco Vallalta-Rueda},
year = {2025},
journal = {Computer Methods and Programs in Biomedicine},
doi = {10.1016/j.cmpb.2024.108567},
url = {https://doi.org/10.1016/j.cmpb.2024.108567}
}RIS
TY - JOUR TI - Leveraging Transformers-based models and linked data for deep phenotyping in radiology AU - Lluís-F. Hurtado AU - Luis Marco-Ruiz AU - Encarna Segarra AU - Maria Jose Castro-Bleda AU - Aurelia Bustos-Moreno AU - Maria de la Iglesia-Vayá AU - Juan Francisco Vallalta-Rueda PY - 2025 JO - Computer Methods and Programs in Biomedicine DO - 10.1016/j.cmpb.2024.108567 UR - https://doi.org/10.1016/j.cmpb.2024.108567 ER -
APA
Hurtado, L., Marco-Ruiz, L., Segarra, E., Castro-Bleda, M. J., Bustos-Moreno, A., Iglesia-Vayá, M. D. L., & Vallalta-Rueda, J. F. (2025). Leveraging Transformers-based models and linked data for deep phenotyping in radiology. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2024.108567
Source records
- crossref · retrieved 2026-09-25T03:47:25.164Z