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1. 3. 2026.
Microstructure-informed deep learning improves thalamic atrophy segmentation and clinical associations in multiple sclerosis and related neuroimmunological diseases
Highlights • Deep learning improved thalamus segmentation in multiple sclerosis brain scans.• Atlas based methods overestimated thalamus volume despite spatial overlap.• Voxel overlap and volume accuracy diverged across segmentation tools.• Quantitative magnetic resonance maps modestly improved disability associations.