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Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19
Research article (Scientific Reports, 2023) · cited 28× · AI/ML
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19
Summary
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19 is a scholarly article[1].
Key Facts
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-contrast-ct-synthesis-using-patch-based-cycle-consistent-generative-adversarial-network-cycle-gan-for-radiomics-and-
MLA“Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-contrast-ct-synthesis-using-patch-based-cycle-consistent-generative-adversarial-network-cycle-gan-for-radiomics-and-.
BibTeX@misc{4ortxyz_non-contrast-ct-synthesis-using-patch-based-cycle-consistent-generative-adversarial-network-cycle-gan-for-radiomics-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19}}, year = {2026}, url = {https://4ort.xyz/entity/non-contrast-ct-synthesis-using-patch-based-cycle-consistent-generative-adversarial-network-cycle-gan-for-radiomics-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19 — https://4ort.xyz/entity/non-contrast-ct-synthesis-using-patch-based-cycle-consistent-generative-adversarial-network-cycle-gan-for-radiomics-and- (retrieved 2026-05-24)
