Author

Melanie Schaller

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Preprint Aug 2026

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

FlowMoDL robustly converges and strictly outperforms all competitors across all acceleration factors in magnitude SSIM, nRMSE, relative velocity error, and angular error, successfully recovering sharp structural details and temporally coherent velocity fields.

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

Preprint Aug 2026

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

This work proposes FLEET (Feature Learning from Events via Efficient Tokenization), a feature extractor that processes event sequences directly and decouples inference cost of the feature extractor's backbone from the sensor's resolution, enabling end-to-end learning without auxiliary losses.

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