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Very deep super-resolution for efficient cone-beam computed tomographic image restoration

Research article (Imaging Science in Dentistry, 2020) · cited 22× · AI/ML
academia openalex:W3116742574
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Very deep super-resolution for efficient cone-beam computed tomographic image restoration

Summary

Very deep super-resolution for efficient cone-beam computed tomographic image restoration is a scholarly article[1].

Key Facts

  • Very deep super-resolution for efficient cone-beam computed tomographic image restoration's instance of is recorded as scholarly article[2].

References

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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). Very deep super-resolution for efficient cone-beam computed tomographic image restoration. Retrieved May 24, 2026, from https://4ort.xyz/entity/very-deep-super-resolution-for-efficient-cone-beam-computed-tomographic-image-restoration
MLA “Very deep super-resolution for efficient cone-beam computed tomographic image restoration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/very-deep-super-resolution-for-efficient-cone-beam-computed-tomographic-image-restoration.
BibTeX @misc{4ortxyz_very-deep-super-resolution-for-efficient-cone-beam-computed-tomographic-image-restoration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Very deep super-resolution for efficient cone-beam computed tomographic image restoration}}, year = {2026}, url = {https://4ort.xyz/entity/very-deep-super-resolution-for-efficient-cone-beam-computed-tomographic-image-restoration}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Very deep super-resolution for efficient cone-beam computed tomographic image restoration — https://4ort.xyz/entity/very-deep-super-resolution-for-efficient-cone-beam-computed-tomographic-image-restoration (retrieved 2026-05-24)

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