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ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising
ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising
Summary
ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising is a scholarly article[1].
Key Facts
ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising's instance of is recorded as scholarly article[2].
References
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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). ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising. Retrieved May 24, 2026, from https://4ort.xyz/entity/era-wgat-edge-enhanced-residual-autoencoder-with-a-window-based-graph-attention-convolutional-network-for-low-dose-ct-de
MLA“ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/era-wgat-edge-enhanced-residual-autoencoder-with-a-window-based-graph-attention-convolutional-network-for-low-dose-ct-de.
BibTeX@misc{4ortxyz_era-wgat-edge-enhanced-residual-autoencoder-with-a-window-based-graph-attention-convolutional-network-for-low-dose-ct-de_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising}}, year = {2026}, url = {https://4ort.xyz/entity/era-wgat-edge-enhanced-residual-autoencoder-with-a-window-based-graph-attention-convolutional-network-for-low-dose-ct-de}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising — https://4ort.xyz/entity/era-wgat-edge-enhanced-residual-autoencoder-with-a-window-based-graph-attention-convolutional-network-for-low-dose-ct-de (retrieved 2026-05-24)
