Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders

Alexander Sauer, Yuan Tian, Joerg Bewersdorf, Jens Rittscher

Open source

DOI: 10.1109/cvprw63382.2024.00684
Published: 2024-06-17
Container: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Publisher: IEEE
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. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1109/cvprw63382.2024.00684,
  title = {Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders},
  author = {Alexander Sauer and Yuan Tian and Joerg Bewersdorf and Jens Rittscher},
  year = {2024},
  journal = {2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  doi = {10.1109/cvprw63382.2024.00684},
  url = {https://doi.org/10.1109/cvprw63382.2024.00684}
}

RIS

TY  - JOUR
TI  - Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders
AU  - Alexander Sauer
AU  - Yuan Tian
AU  - Joerg Bewersdorf
AU  - Jens Rittscher
PY  - 2024
JO  - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
DO  - 10.1109/cvprw63382.2024.00684
UR  - https://doi.org/10.1109/cvprw63382.2024.00684
ER  -

APA

Sauer, A., Tian, Y., Bewersdorf, J., & Rittscher, J. (2024). Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/cvprw63382.2024.00684

Source records

crossref · retrieved 2026-09-25T19:39:05.511Z