SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation
- DOI
- 10.1109/tcbb.2021.3066331
- Published
- 2022-09-01
- Container
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
- Publisher
- Institute of Electrical and Electronics Engineers (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.
- 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:10.1109/tcbb.2021.3066331,
title = {SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation},
author = {Jieli Zhou and Baoyu Jing and Zeya Wang and Hongyi Xin and Hanghang Tong},
year = {2022},
journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
doi = {10.1109/tcbb.2021.3066331},
url = {https://doi.org/10.1109/tcbb.2021.3066331}
}RIS
TY - JOUR TI - SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation AU - Jieli Zhou AU - Baoyu Jing AU - Zeya Wang AU - Hongyi Xin AU - Hanghang Tong PY - 2022 JO - IEEE/ACM Transactions on Computational Biology and Bioinformatics DO - 10.1109/tcbb.2021.3066331 UR - https://doi.org/10.1109/tcbb.2021.3066331 ER -
APA
Zhou, J., Jing, B., Wang, Z., Xin, H., & Tong, H. (2022). SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. https://doi.org/10.1109/tcbb.2021.3066331
Source records
- crossref · retrieved 2026-11-08T12:37:59.823Z