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Deep learning methods to guide CT image reconstruction and reduce metal artifacts

Research article (Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 2017) · cited 84× · AI/ML
academia openalex:W2594396454
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Deep learning methods to guide CT image reconstruction and reduce metal artifacts

Summary

Deep learning methods to guide CT image reconstruction and reduce metal artifacts is a scholarly article[1].

Key Facts

  • Deep learning methods to guide CT image reconstruction and reduce metal artifacts's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning methods to guide CT image reconstruction and reduce metal artifacts. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-methods-to-guide-ct-image-reconstruction-and-reduce-metal-artifacts
MLA “Deep learning methods to guide CT image reconstruction and reduce metal artifacts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-methods-to-guide-ct-image-reconstruction-and-reduce-metal-artifacts.
BibTeX @misc{4ortxyz_deep-learning-methods-to-guide-ct-image-reconstruction-and-reduce-metal-artifacts_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning methods to guide CT image reconstruction and reduce metal artifacts}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-methods-to-guide-ct-image-reconstruction-and-reduce-metal-artifacts}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning methods to guide CT image reconstruction and reduce metal artifacts — https://4ort.xyz/entity/deep-learning-methods-to-guide-ct-image-reconstruction-and-reduce-metal-artifacts (retrieved 2026-05-24)

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