2 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.med-ph2024
Controlling sharpness, SNR and SAR for 3D FSE at 7T by end-to-end learning
Peter Dawood, Martin Blaimer, Jürgen Herrler +5
Purpose: To non-heuristically identify dedicated variable flip angle (VFA) schemes optimized for the point-spread function (PSF) and signal-to-noise ratio (SNR) of multiple tissues…
cs.CV2024★ 1 cited
Image space formalism of convolutional neural networks for k-space interpolation
Peter Dawood, Felix Breuer, Istvan Homolya +4
Purpose: Noise resilience in image reconstructions by scan-specific robust artificial neural networks for k-space interpolation (RAKI) is linked to nonlinear activations in k-space…
eess.IV2022★ 2 cited
Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples
Peter Dawood, Felix Breuer, Paul R. Burd +4
Purpose: To evaluate an iterative learning approach for enhanced performance of Robust Artificial-neural-networks for K-space Interpolation (RAKI), when only a limited amount of tr…