Confirmatory Results
Enhancing SNR in Chemical Exchange Saturation Transfer imaging: a Deep Learning Approach with a Denoising Convolutional Autoencoder (DCAE-CEST)
View ORCID ProfileYashwant Kurmi, View ORCID ProfileMalvika Viswanathan, View ORCID ProfileZhongliang Zu
doi: https://doi.org/10.1101/2024.06.07.597818
Yashwant Kurmi
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, USA
2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, USA
Malvika Viswanathan
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, USA
3Department of Biomedical Engineering, Vanderbilt University, Nashville, USA
Zhongliang Zu
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, USA
2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, USA
3Department of Biomedical Engineering, Vanderbilt University, Nashville, USA
Posted June 09, 2024.
Enhancing SNR in Chemical Exchange Saturation Transfer imaging: a Deep Learning Approach with a Denoising Convolutional Autoencoder (DCAE-CEST)
Yashwant Kurmi, Malvika Viswanathan, Zhongliang Zu
bioRxiv 2024.06.07.597818; doi: https://doi.org/10.1101/2024.06.07.597818
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