51 citations · 58 across the 4 of their papers we have counts for
4 papers
Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI
Thomas M. Siedler, Peter M. Jakob, Volker Herold
Purpose: We present SCAMPI (Sparsity Constrained Application of deep Magnetic resonance Priors for Image reconstruction), an untrained deep Neural Network for MRI reconstruction wi…
Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples
Peter Dawood, Felix Breuer, Paul R. Burd +4
Purpose: To evaluate an iterative learning approach for enhanced performance of Robust Artificial-neural-networks for K-space Interpolation (RAKI), when only a limited amount of tr…
Magnetic Resonance Probing Ensemble Dynamics
Volker Herold, Thomas Kampf, Peter Michael Jakob
We demonstrate the use of spatially encoded magnetic resonance to quantify ensemble dynamics of microscopic particles below the spatial resolution. By evaluating time series of k-s…
Active split-ring metamaterial slabs for magnetic resonance imaging
Marcos A. Lopez, Jose M. Algarin, Manuel J. Freire +3
In this work, it is analyzed the ability of split-ring metamaterial slabs with zero/high permeability to reject/confine the radiofrequency magnetic field in magnetic resonance imag…