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STAN-CT: Standardizing CT Image using Generative Adversarial Networks.

Research article (PubMed, 2020) · cited 13× · AI/ML
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STAN-CT: Standardizing CT Image using Generative Adversarial Networks.

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STAN-CT: Standardizing CT Image using Generative Adversarial Networks. is a scholarly article[1].

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  • STAN-CT: Standardizing CT Image using Generative Adversarial Networks.'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). STAN-CT: Standardizing CT Image using Generative Adversarial Networks.. Retrieved May 24, 2026, from https://4ort.xyz/entity/stan-ct-standardizing-ct-image-using-generative-adversarial-networks
MLA “STAN-CT: Standardizing CT Image using Generative Adversarial Networks..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stan-ct-standardizing-ct-image-using-generative-adversarial-networks.
BibTeX @misc{4ortxyz_stan-ct-standardizing-ct-image-using-generative-adversarial-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{STAN-CT: Standardizing CT Image using Generative Adversarial Networks.}}, year = {2026}, url = {https://4ort.xyz/entity/stan-ct-standardizing-ct-image-using-generative-adversarial-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): STAN-CT: Standardizing CT Image using Generative Adversarial Networks. — https://4ort.xyz/entity/stan-ct-standardizing-ct-image-using-generative-adversarial-networks (retrieved 2026-05-24)

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