17 citations · 19 across the 4 of their papers we have counts for
4 papers
Zero-shot self-supervised learning of single breath-hold magnetic resonance cholangiopancreatography (MRCP) reconstruction
Jinho Kim, Marcel Dominik Nickel, Florian Knoll
To investigate the feasibility of zero-shot self-supervised learning reconstruction for reducing breath-hold times in magnetic resonance cholangiopancreatography (MRCP). Breath-hol…
Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data
Jinho Kim, Marcel Dominik Nickel, Florian Knoll
The purpose of this study was to accelerate MR cholangiopancreatography (MRCP) acquisitions using deep learning-based (DL) reconstruction at 3T and 0.55T. A total of 35 healthy vol…
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:…
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…