17 citations · 19 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 2 cited
Deep learning-guided weighted averaging for signal dropout compensation in diffusion-weighted imaging of the liver
Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel +3
Purpose: To develop an algorithm for the retrospective correction of signal dropout artifacts in abdominal diffusion-weighted imaging (DWI) resulting from cardiac motion. Methods:…
eess.IV2021★ 17 cited
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel +1
Purpose: To develop an algorithm for robust partial Fourier (PF) reconstruction applicable to diffusion-weighted (DW) images with non-smooth phase variations. Methods: Based on an…