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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. · 1 citation
Aug 2026

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

It is concluded that a simple MLP can provide high-quality QTI parameter estimates from short tensor-valued diffusion acquisitions, which enables five-minute, high-resolution QTI and may encourage further clinical studies of markers such as microscopic fractional anisotropy.

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

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