most citedDeep learning-guided weighted averaging for signal dropout compensation in diffusion-weighted imaging of the liver

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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:…