Deploying deep learning models on unseen medical imaging using adversarial domain adaptation

Research article (PLoS ONE, 2022) · cited 15× · AI/ML

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Summary

Deploying deep learning models on unseen medical imaging using adversarial domain adaptation is a scholarly article^[1].

Key Facts

Deploying deep learning models on unseen medical imaging using adversarial domain adaptation's instance of is recorded as scholarly article^[2].

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Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex

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Quick Facts

Instance of scholarly article

Publication date October 14, 2022

Properties

Published in PLOS One

Sponsor United States National Institutes of Health

Title lang: en, text: Deploying deep learning models on unseen medical imaging using adversarial domain adaptation

External References (3)

Doi 10.1371/JOURNAL.PONE.0273262

Openalex id W4306247857

Pubmed publication id 36240135

🔗 Connections

Authored by 10

Aly Valliani, Anthony B. Costa, Chiatse Wang, Douglas Kondziolka, Eric K. Oermann, Faris F. Gulamali, Michael L. Martini, Viola J. Chen +2 more

← Author of 10

Aly Valliani, Anthony B. Costa, Chiatse Wang, Douglas Kondziolka, Eric K. Oermann, Faris F. Gulamali, Michael L. Martini, Viola J. Chen +2 more

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ Deploying deep learning models on unseen medical imaging using adversarial domain adaptation — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Deploying deep learning models on unseen medical imaging using adversarial domain adaptation is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). Deploying deep learning models on unseen medical imaging using adversarial domain adaptation. Retrieved October 20, 2026, from https://4ort.xyz/entity/deploying-deep-learning-models-on-unseen-medical-imaging-using-adversarial-domain-adaptation

MLA

“Deploying deep learning models on unseen medical imaging using adversarial domain adaptation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/deploying-deep-learning-models-on-unseen-medical-imaging-using-adversarial-domain-adaptation.

BibTeX

@misc{4ortxyz_deploying-deep-learning-models-on-unseen-medical-imaging-using-adversarial-domain-adaptation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deploying deep learning models on unseen medical imaging using adversarial domain adaptation}}, year = {2026}, url = {https://4ort.xyz/entity/deploying-deep-learning-models-on-unseen-medical-imaging-using-adversarial-domain-adaptation}, note = {Accessed: 2026-10-20}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deploying deep learning models on unseen medical imaging using adversarial domain adaptation — https://4ort.xyz/entity/deploying-deep-learning-models-on-unseen-medical-imaging-using-adversarial-domain-adaptation (retrieved 2026-10-20)

Canonical URL: https://4ort.xyz/entity/deploying-deep-learning-models-on-unseen-medical-imaging-using-adversarial-domain-adaptation · Last refreshed: October 20, 2026