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Author

Y. Kravutske

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Open access Oct 2026

Deep Learning-Based Multiple Sclerosis Lesion Segmentation at 7 Tesla: Comparison of Single- and Multi-Contrast MRI Inputs

Preliminary evidence is provided suggesting that the observed voxel-level segmentation performance was primarily associated with the inclusion of MP2RAGE, however, lesion-level performance depended on lesion size, indicating further investigation of contrast-specific effects on small-lesion detection.

Anna Petrova, Ivan Petrović, M. Berger et al. · 0 citations
Open access Jul 2026

Image quality evaluation of neonatal brain magnetic resonance imaging using a deep learning reconstruction algorithm: A quantitative and multireader study using variable denoising levels at 3 tesla

Improvement in image quality is suggested with the use of the deep learning reconstruction algorithm in 3D T1-weighted neonatal brain MRI, though the small sample size and pilot design limit generalizability.

Z. Alvi, E. P. Reis, M. Esmeraldo et al. · 0 citations

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