Long-PVSUNet: A Longitudinal Deep Learning Framework for Count-Oriented Perivascular Space Segmentation in Brain MRI.
- DOI
- 10.1007/s10278-026-02242-1
- Published
- 2026 Sep 3
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02242-1,
title = {Long-PVSUNet: A Longitudinal Deep Learning Framework for Count-Oriented Perivascular Space Segmentation in Brain MRI.},
author = {Hayashi S and Fan L and Jiang J and Song Y and Wang D and Brodaty H and Sachdev PS and Wen W},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02242-1},
url = {https://doi.org/10.1007/s10278-026-02242-1}
}RIS
TY - JOUR TI - Long-PVSUNet: A Longitudinal Deep Learning Framework for Count-Oriented Perivascular Space Segmentation in Brain MRI. AU - Hayashi S AU - Fan L AU - Jiang J AU - Song Y AU - Wang D AU - Brodaty H AU - Sachdev PS AU - Wen W PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02242-1 UR - https://doi.org/10.1007/s10278-026-02242-1 ER -
APA
S, H., L, F., J, J., Y, S., D, W., H, B., PS, S., & W, W. (2026). Long-PVSUNet: A Longitudinal Deep Learning Framework for Count-Oriented Perivascular Space Segmentation in Brain MRI.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02242-1
Source records
- pubmed · retrieved 2026-09-26T00:18:33.224Z