10 citations · 10 across the 1 of their papers we have counts for
3 papers
Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC within 3 minutes
Hongyan Liu, Oscar van der Heide, Stefano Mandija +2
MR-STAT is an emerging quantitative magnetic resonance imaging technique which aims at obtaining multi-parametric tissue parameter maps from single short scans. It describes the re…
Combining Deep Learning and 3D Contrast Source Inversion in MR-based Electrical Properties Tomography
Reijer L. Leijsen, Cornelis A. T. van den Berg, Andrew G. Webb +2
Magnetic resonance-electrical properties tomography (MR-EPT) is a technique used to estimate the conductivity and permittivity of tissues from MR measurements of the transmit magne…
Deep learning brain conductivity mapping using a patch-based 3D U-net
Nils Hampe, Ulrich Katscher, Cornelis A. T. van den Berg +2
Purpose: To investigate deep learning electrical properties tomography (EPT) for application on different simulated and in-vivo datasets including pathologies for obtaining quantit…