Fast zero-shot deep learning-based denoising method for low-field MR images

In the context of low-field MRI, this denoising method shows great potential, as it could be integrated into acquisition workflows relatively seamlessly to improve image quality. Code: https://github.com/reinaayde7/zs-nac.git.

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Publication Details

Journal
Magnetic Resonance Materials in Physics Biology and Medicine
Published
2025-12-22
DOI
https://doi.org/10.1007/s10334-025-01311-w
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Fast zero-shot deep learning-based denoising method for low-field MR images

Najat Salameh, Reina Aydé, Gabriel Zihlmann, Mathieu Sarracanie
Magnetic Resonance Materials in Physics Biology and Medicine
Advanced MRI Techniques and Applications
article

Fast zero-shot deep learning-based denoising method for low-field MR images

Najat Salameh, Reina Aydé, Gabriel Zihlmann, Mathieu Sarracanie
article en

Abstract

In the context of low-field MRI, this denoising method shows great potential, as it could be integrated into acquisition workflows relatively seamlessly to improve image quality. Code: https://github.com/reinaayde7/zs-nac.git.

Magnetic Resonance Materials in Physics Biology and Medicine
University of Aberdeen (GB), University of Michigan (US)
Openalex Percentile: Top 32%
Advanced MRI Techniques and Applications
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