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20232025
most citedLearning Provably Robust Estimators for Inverse Problems via Jittering

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

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1 paper

cs.CV2024

Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation

Anselm Krainovic, Stefan Ruschke, Reinhard Heckel

Deep learning-based 3D imaging, in particular magnetic resonance imaging (MRI), is challenging because of limited availability of 3D training data. Therefore, 2D diffusion models t…