Author

J. Jende

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Open access Sep 2026

A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography

A reproducible deep learning-based framework for automated segmentation and quantitative assessment of peripheral nerve lesions in MR neurography is introduced and enables standardized volumetric characterization of small intraneural abnormalities and provides a basis for scalable, quantitative peripheral nerve imaging...

N. Beste, C. Raudonat, M. Fesselier et al. · European Radiology Experimen... · 0 citations

Aug 2026

Fast and robust q-space trajectory imaging using voxel-wise multilayer perceptrons for parameter estimation.

Q-space trajectory imaging (QTI) provides promising markers of tissue microstructure, but clinical translation requires shorter acquisitions, faster analysis, and more robust parameter estimation at high spatial resolution. To address these barriers, we trained a voxel-wise multilayer perceptron (MLP) to infer QTI-deri...

Oliver Gödicke, Jin-Yang Yu, F. Laun et al. · Magnetic Resonance Imaging · 0 citations