Author

T. Gottwald

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Preprint Aug 2026

FlowMoDL: Model-Based Deep Learning with Conjugate-Gradient Data Consistency for Highly Accelerated 4D Flow MRI Reconstruction

We present FlowMoDL, an unrolled neural network for highly accelerated 4D flow MRI reconstruction that directly optimizes for both anatomical magnitude and phase-derived velocity accuracy. Building on the MoDL framework, FlowMoDL alternates a learned (3+1)D spatiotemporal denoiser with conjugate-gradient data-consisten...

T. Gottwald, Michelle Bruch, M. Hassan et al. · 0 citations

Preprint Aug 2026

FLEET: Token-Based Feature Extraction for Event Camera-based Reinforcement Learning

Event cameras generate asynchronous, high-frequency data streams offering spatially sparse information at lower latency than traditional cameras. In principle, these properties should be ideal for the design of control policies. However, reinforcement learning research in this field remains limited as existing approach...

T. Gottwald, Maximilian Schier, Melanie Schaller et al. · 0 citations