Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Denoising of low-dose CT images via low-rank tensor modeling and total variation regularization. Retrieved May 24, 2026, from https://4ort.xyz/entity/denoising-of-low-dose-ct-images-via-low-rank-tensor-modeling-and-total-variation-regularization
MLA“Denoising of low-dose CT images via low-rank tensor modeling and total variation regularization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/denoising-of-low-dose-ct-images-via-low-rank-tensor-modeling-and-total-variation-regularization.
BibTeX@misc{4ortxyz_denoising-of-low-dose-ct-images-via-low-rank-tensor-modeling-and-total-variation-regularization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Denoising of low-dose CT images via low-rank tensor modeling and total variation regularization}}, year = {2026}, url = {https://4ort.xyz/entity/denoising-of-low-dose-ct-images-via-low-rank-tensor-modeling-and-total-variation-regularization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Denoising of low-dose CT images via low-rank tensor modeling and total variation regularization — https://4ort.xyz/entity/denoising-of-low-dose-ct-images-via-low-rank-tensor-modeling-and-total-variation-regularization (retrieved 2026-05-24)
