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Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy

Research article (Biomedical Optics Express, 2020) · cited 22× · AI/ML
academia openalex:W3080137117
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Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy

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Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy is a scholarly article[1].

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  • Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-model-for-ultrafast-quantification-of-blood-flow-in-diffuse-correlation-spectroscopy
MLA “Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-model-for-ultrafast-quantification-of-blood-flow-in-diffuse-correlation-spectroscopy.
BibTeX @misc{4ortxyz_deep-learning-model-for-ultrafast-quantification-of-blood-flow-in-diffuse-correlation-spectroscopy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-model-for-ultrafast-quantification-of-blood-flow-in-diffuse-correlation-spectroscopy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning model for ultrafast quantification of blood flow in diffuse correlation spectroscopy — https://4ort.xyz/entity/deep-learning-model-for-ultrafast-quantification-of-blood-flow-in-diffuse-correlation-spectroscopy (retrieved 2026-05-24)

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