Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach

Research article (Biomedical Signal Processing and Control, 2021) · cited 38× · AI/ML
Press Enter · cited answer in seconds

Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach

Summary

Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach is a scholarly article[1].

Key Facts

  • Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/denoising-of-magnetic-resonance-imaging-using-bayes-shrinkage-based-fused-wavelet-transform-and-autoencoder-based-deep-l
MLA “Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/denoising-of-magnetic-resonance-imaging-using-bayes-shrinkage-based-fused-wavelet-transform-and-autoencoder-based-deep-l.
BibTeX @misc{4ortxyz_denoising-of-magnetic-resonance-imaging-using-bayes-shrinkage-based-fused-wavelet-transform-and-autoencoder-based-deep-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/denoising-of-magnetic-resonance-imaging-using-bayes-shrinkage-based-fused-wavelet-transform-and-autoencoder-based-deep-l}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach — https://4ort.xyz/entity/denoising-of-magnetic-resonance-imaging-using-bayes-shrinkage-based-fused-wavelet-transform-and-autoencoder-based-deep-l (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/denoising-of-magnetic-resonance-imaging-using-bayes-shrinkage-based-fused-wavelet-transform-and-autoencoder-based-deep-l · Last refreshed: