Deep Learning–Based Gadolinium-Free Virtual Contrast-Enhanced MRI for Predicting Immediate HIFU Ablation Outcomes in Uterine Fibroids
- DOI
- 10.1016/j.acra.2026.08.085
- Published
- 2026-11
- Container
- Academic Radiology
- 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.acra.2026.08.085,
title = {Deep Learning–Based Gadolinium-Free Virtual Contrast-Enhanced MRI for Predicting Immediate HIFU Ablation Outcomes in Uterine Fibroids},
author = {Chengwei Li and Hongjian Liao and Jian Liu and Keying Li and Xin Peng and Zhibo Xiao and Jin Gao},
year = {2026},
journal = {Academic Radiology},
doi = {10.1016/j.acra.2026.08.085},
url = {https://doi.org/10.1016/j.acra.2026.08.085}
}RIS
TY - JOUR TI - Deep Learning–Based Gadolinium-Free Virtual Contrast-Enhanced MRI for Predicting Immediate HIFU Ablation Outcomes in Uterine Fibroids AU - Chengwei Li AU - Hongjian Liao AU - Jian Liu AU - Keying Li AU - Xin Peng AU - Zhibo Xiao AU - Jin Gao PY - 2026 JO - Academic Radiology DO - 10.1016/j.acra.2026.08.085 UR - https://doi.org/10.1016/j.acra.2026.08.085 ER -
APA
Li, C., Liao, H., Liu, J., Li, K., Peng, X., Xiao, Z., & Gao, J. (2026). Deep Learning–Based Gadolinium-Free Virtual Contrast-Enhanced MRI for Predicting Immediate HIFU Ablation Outcomes in Uterine Fibroids. Academic Radiology. https://doi.org/10.1016/j.acra.2026.08.085
Source records
- crossref · retrieved 2026-11-07T11:38:00.632Z