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Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising

Research article (Current Directions in Biomedical Engineering, 2018) · cited 79× · AI/ML
academia openalex:W2892531758
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Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising

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Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising is a scholarly article[1].

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  • Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising'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). Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising. Retrieved May 24, 2026, from https://4ort.xyz/entity/residual-u-net-convolutional-neural-network-architecture-for-low-dose-ct-denoising
MLA “Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/residual-u-net-convolutional-neural-network-architecture-for-low-dose-ct-denoising.
BibTeX @misc{4ortxyz_residual-u-net-convolutional-neural-network-architecture-for-low-dose-ct-denoising_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising}}, year = {2026}, url = {https://4ort.xyz/entity/residual-u-net-convolutional-neural-network-architecture-for-low-dose-ct-denoising}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising — https://4ort.xyz/entity/residual-u-net-convolutional-neural-network-architecture-for-low-dose-ct-denoising (retrieved 2026-05-24)

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