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Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization

Research article (Biomedical Optics Express, 2019) · cited 10× · AI/ML
academia openalex:W2937383718
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Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization

Summary

Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization is a scholarly article[1].

Key Facts

  • Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization'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). Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-dot-reconstruction-with-a-born-iterative-method-and-us-guided-sparse-regularization
MLA “Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-dot-reconstruction-with-a-born-iterative-method-and-us-guided-sparse-regularization.
BibTeX @misc{4ortxyz_improving-dot-reconstruction-with-a-born-iterative-method-and-us-guided-sparse-regularization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization}}, year = {2026}, url = {https://4ort.xyz/entity/improving-dot-reconstruction-with-a-born-iterative-method-and-us-guided-sparse-regularization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving DOT reconstruction with a Born iterative method and US-guided sparse regularization — https://4ort.xyz/entity/improving-dot-reconstruction-with-a-born-iterative-method-and-us-guided-sparse-regularization (retrieved 2026-05-24)

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