Z. Zu

A Denoising Convolutional Autoencoder for SNR Enhancement in Chemical Exchange Saturation Transfer imaging: (DCAE-CEST)

This paper develops a denoising convolutional autoencoder for CEST imaging to enhance SNR and compares it to existing methods, showing improved performance in both simulated and in vivo data.

Assignment of molecular origins of NOE signal at -3.5 ppm in the brain

This study identifies lipids as the primary contributors to NOE(-3.5 ppm) signals in brain tissues and shows their role in MRI contrast variations between tumor, gray matter, and white matter.

A new method for quantifying APT and NOE(-3.5) using chemical exchange saturation transfer with double saturation powers (DSP-CEST)

This paper introduces a new data-postprocessing method, DSP-CEST, to specifically quantify APT and NOE(-3.5) signals while reducing confounding effects in CEST imaging.