M. Fesselier

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

Magnetic resonance neurography (MRN) enables high-resolution visualization of peripheral nerves, yet quantitative analysis of intraneural lesion burden remains limited by manual, observer-dependent workflows. We propose a deep learning-based framework for automated segmentation and quantitative characterization of peri...