Evaluation of MRI Denoising Methods Using Unsupervised Learning

In this paper we evaluate two unsupervised approaches to denoise Magnetic Resonance Images (MRI) in the complex image space using the raw information that k-space holds. The first method is based on Stein’s Unbiased Risk Estimator, while the second approach is based on a blindspot network, which lim...

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Detalles Bibliográficos
Autores principales: Moreno López, Marc, Frederick, Joshua M., Ventura, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212039/
https://www.ncbi.nlm.nih.gov/pubmed/34151253
http://dx.doi.org/10.3389/frai.2021.642731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212039/
https://www.ncbi.nlm.nih.gov/pubmed/34151253
http://dx.doi.org/10.3389/frai.2021.642731

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