MRI radiomics-based machine learning model for complete response classification after chemoradiotherapy in advanced rectal cancer
- DOI
- 10.1177/20552076261484806
- Published
- 2026-02
- Container
- DIGITAL HEALTH
- Publisher
- SAGE Publications
- 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:10.1177/20552076261484806,
title = {MRI radiomics-based machine learning model for complete response classification after chemoradiotherapy in advanced rectal cancer},
author = {Jin Young Min and Jun Young Park and Young Jae Kim and Youngbae Jeon and Kwang Gi Kim and Jeong-Heum Baek},
year = {2026},
journal = {DIGITAL HEALTH},
doi = {10.1177/20552076261484806},
url = {https://doi.org/10.1177/20552076261484806}
}RIS
TY - JOUR TI - MRI radiomics-based machine learning model for complete response classification after chemoradiotherapy in advanced rectal cancer AU - Jin Young Min AU - Jun Young Park AU - Young Jae Kim AU - Youngbae Jeon AU - Kwang Gi Kim AU - Jeong-Heum Baek PY - 2026 JO - DIGITAL HEALTH DO - 10.1177/20552076261484806 UR - https://doi.org/10.1177/20552076261484806 ER -
APA
Min, J. Y., Park, J. Y., Kim, Y. J., Jeon, Y., Kim, K. G., & Baek, J. (2026). MRI radiomics-based machine learning model for complete response classification after chemoradiotherapy in advanced rectal cancer. DIGITAL HEALTH. https://doi.org/10.1177/20552076261484806
Source records
- crossref · retrieved 2026-09-25T19:37:45.798Z