17 citations · 20 across the 3 of their papers we have counts for
3 papers
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:…
Towards Super-Resolution CEST MRI for Visualization of Small Structures
Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov +9
The onset of rheumatic diseases such as rheumatoid arthritis is typically subclinical, which results in challenging early detection of the disease. However, characteristic changes…
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…