Author

Jana Hutter

2 papers indexed here

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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

Jul 2026

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

A Dinomaly-based unsupervised anomaly detection framework adapted for pelvic MRI that learns normative representations from healthy cases and flags deviations without requiring labels is presented.

Anika Knupfer, M. Lindholz, J. Müller et al. · arXiv.org · 0 citations