Virtual tissue microstructure reconstruction across species using generative deep learning.
- DOI
- 10.1371/journal.pone.0306073
- Published
- 2024
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- supportingOpen access status: Normalized open-access status: open.
- 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:10.1371/journal.pone.0306073,
title = {Virtual tissue microstructure reconstruction across species using generative deep learning.},
author = {Bettancourt N and Pérez-Gallardo C and Candia V and Guevara P and Kalaidzidis Y and Zerial M and Segovia-Miranda F and Morales-Navarrete H},
year = {2024},
journal = {PloS one},
doi = {10.1371/journal.pone.0306073},
url = {https://doi.org/10.1371/journal.pone.0306073}
}RIS
TY - JOUR TI - Virtual tissue microstructure reconstruction across species using generative deep learning. AU - Bettancourt N AU - Pérez-Gallardo C AU - Candia V AU - Guevara P AU - Kalaidzidis Y AU - Zerial M AU - Segovia-Miranda F AU - Morales-Navarrete H PY - 2024 JO - PloS one DO - 10.1371/journal.pone.0306073 UR - https://doi.org/10.1371/journal.pone.0306073 ER -
APA
N, B., C, P., V, C., P, G., Y, K., M, Z., F, S., & H, M. (2024). Virtual tissue microstructure reconstruction across species using generative deep learning.. PloS one. https://doi.org/10.1371/journal.pone.0306073
Source records
- pubmed · retrieved 2026-09-26T00:31:54.017Z