SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors

Research article (IEEE Journal of Selected Topics in Signal Processing, 2020) · cited 55× · AI/ML
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SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors

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SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors is a scholarly article[1].

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  • SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. Retrieved May 24, 2026, from https://4ort.xyz/entity/simba-scalable-inversion-in-optical-tomography-using-deep-denoising-priors
MLA “SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simba-scalable-inversion-in-optical-tomography-using-deep-denoising-priors.
BibTeX @misc{4ortxyz_simba-scalable-inversion-in-optical-tomography-using-deep-denoising-priors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors}}, year = {2026}, url = {https://4ort.xyz/entity/simba-scalable-inversion-in-optical-tomography-using-deep-denoising-priors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors — https://4ort.xyz/entity/simba-scalable-inversion-in-optical-tomography-using-deep-denoising-priors (retrieved 2026-05-24)

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