ACE-ProtoNet: Adaptive covariance eigen-gate and uncertainty-aware prototype learning for coronary artery segmentation
- DOI
- 10.1016/j.media.2026.104040
- Published
- 2026-06
- Container
- Medical Image Analysis
- 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.media.2026.104040,
title = {ACE-ProtoNet: Adaptive covariance eigen-gate and uncertainty-aware prototype learning for coronary artery segmentation},
author = {Caixia Dong and Duwei Dai and Pengyu Ren and Guowei Dai and Yu Wang and Linyun Zhou and Yang Li and Wei Zeng},
year = {2026},
journal = {Medical Image Analysis},
doi = {10.1016/j.media.2026.104040},
url = {https://doi.org/10.1016/j.media.2026.104040}
}RIS
TY - JOUR TI - ACE-ProtoNet: Adaptive covariance eigen-gate and uncertainty-aware prototype learning for coronary artery segmentation AU - Caixia Dong AU - Duwei Dai AU - Pengyu Ren AU - Guowei Dai AU - Yu Wang AU - Linyun Zhou AU - Yang Li AU - Wei Zeng PY - 2026 JO - Medical Image Analysis DO - 10.1016/j.media.2026.104040 UR - https://doi.org/10.1016/j.media.2026.104040 ER -
APA
Dong, C., Dai, D., Ren, P., Dai, G., Wang, Y., Zhou, L., Li, Y., & Zeng, W. (2026). ACE-ProtoNet: Adaptive covariance eigen-gate and uncertainty-aware prototype learning for coronary artery segmentation. Medical Image Analysis. https://doi.org/10.1016/j.media.2026.104040
Source records
- crossref · retrieved 2026-09-26T00:52:32.990Z