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20222026
most citedIterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples

2 citations · 2 across the 3 of their papers we have counts for

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physics.med-ph2025

Controlling spatial correlation in k-space interpolation networks for MRI reconstruction: denoising versus apparent blurring

Istvan Homolya, Jannik Stebani, Felix Breuer +4

Purpose: Interpretability is essential for the clinical adoption of state-of-the-art machine learning (ML) methods in magnetic resonance imaging (MRI). Conventional evaluation of M…