4 citations · 5 across the 2 of their papers we have counts for
2 papers
physics.med-ph2022★ 4 cited
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…
physics.ins-det2018★ 1 cited
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…