Search Results for author: Martin Blaimer

Found 2 papers, 0 papers with code

A novel image space formalism of Fourier domain interpolation neural networks for noise propagation analysis

no code implementations27 Feb 2024 Peter Dawood, Felix Breuer, Istvan Homolya, Jannik Stebani, Maximilian Gram, Peter M. Jakob, Moritz Zaiss, Martin Blaimer

Noise variance maps obtained from the analytical expression correspond with those obtained via Monte-Carlo simulations, as well as via an auto-differentiation approach.

Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples

no code implementations10 Jan 2022 Peter Dawood, Felix Breuer, Paul R. Burd, István Homolya, Johannes Oberberger, Peter M. Jakob, Martin Blaimer

In the iterative learning approach (termed iterative RAKI), the optimized RAKI model is initially trained using original and augmented ACS obtained from a linear parallel imaging reconstruction.

Data Augmentation Image Reconstruction

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