K. M. T. K. Siddiki

Deep learning-based image domain reconstruction of undersampled low-field brain MRI: A comparative benchmark study of U-Net architectures.

A comprehensive comparative evaluation of six U-Net variants, including U-Net, Attention U-Net, Residual U-Net, Recurrent-Residual (R2) U-Net, Residual-Attention U-Net (RAU-Net), and U-Net++, for image domain reconstruction of low-field MRI data from the M4RAW dataset is presented.