DCAE-CEST

Version 1.0.1 (21.7 MB) by Yashwant Kurmi
DCAE-CEST: : The DCAE-CEST method can learn the most important features of the CEST Z-spectrum and provide the most effective denoising solu
0.0
(0)
35 Downloads
Updated 19 Jul 2024
View License on GitHub

DCAE-CEST (MATLAB Code)

How to cite: : Kurmi Y, Viswanathan M, Zu Z. Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder. Magn Reson Med. 2024; 1-16. doi: 10.1002/mrm.30228

DCAE-CEST: The DCAE-CEST method can learn the most important features of the CEST Z-spectrum and provide the effective denoising solution with high fidelity of the data.

Key words: Chemical exchange saturation transfer (CEST), amide proton transfer (APT), nuclear Overhauser effect, deep learning, denoising convolutional autoencoder (DCAE), tumor

Contributors: DCAE-CEST: Yashwant Kurmi, Malvika Viswanathan, Zhongliang Zu

https://github.com/CESTlabZu/DCAE-CEST

View DCAE-CEST on File Exchange

Cite As

Yashwant Kurmi (2026). DCAE-CEST (https://github.com/CESTlabZu/DCAE-CEST), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2024a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Tags Add Tags

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.1

Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.