51 citations · 58 across the 4 of their papers we have counts for
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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…
eess.IV2022★ 2 cited
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…