Locally low-rank denoising in transform domains.

Steen MoellerErick O BukoSuhail P ParvazeLogan DowdleKamil UgurbilCasey P JohnsonMehmet Akcakaya

Published in: bioRxiv : the preprint server for biology (2023)

A transform domain extension to LLR denoising produces high quality images and is compatible with both raw k-space data and vendor reconstructed data. This allows for improved imaging and more accurate quantitative analyses and parameters obtained therefrom.

Keyphrases

high resolution
convolutional neural network
electronic health record
big data
deep learning
optical coherence tomography
machine learning