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MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals
Research article (Bioengineering, 2023) · cited 28× · AI/ML
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals
Summary
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals is a scholarly article[1].
Key Facts
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiresunet3-a-full-scale-connected-multi-residual-unet-model-to-denoise-electrooculogram-and-electromyogram-artifacts-
MLA“MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiresunet3-a-full-scale-connected-multi-residual-unet-model-to-denoise-electrooculogram-and-electromyogram-artifacts-.
BibTeX@misc{4ortxyz_multiresunet3-a-full-scale-connected-multi-residual-unet-model-to-denoise-electrooculogram-and-electromyogram-artifacts-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals}}, year = {2026}, url = {https://4ort.xyz/entity/multiresunet3-a-full-scale-connected-multi-residual-unet-model-to-denoise-electrooculogram-and-electromyogram-artifacts-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals — https://4ort.xyz/entity/multiresunet3-a-full-scale-connected-multi-residual-unet-model-to-denoise-electrooculogram-and-electromyogram-artifacts- (retrieved 2026-05-24)
