Pietro Maggi

Brussels, BRU, Belgium

Last Updated: 09/26/2026

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Found 44 publications

Dietary habits and advanced imaging/laboratory markers in multiple sclerosis: An exploratory cross-sectional study.

Dietary habits and advanced imaging/laboratory markers in multiple sclerosis: An exploratory cross-sectional study.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Published: December 26, 2025

A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis.

A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis.

Journal: NeuroImage. Clinical

Published: December 18, 2025

FCRL5, a B-Cell Marker With Novel Diagnostic and Prognostic Value for Multiple Sclerosis.

FCRL5, a B-Cell Marker With Novel Diagnostic and Prognostic Value for Multiple Sclerosis.

Journal: Neurology(R) neuroimmunology & neuroinflammation

Published: September 26, 2025

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.

Journal: ArXiv

Published: September 19, 2025

Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors.

Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors.

Journal: ArXiv

Published: July 30, 2025

Spatially-restricted inflammation-induced senescent-like glia in multiple sclerosis and patient-derived organoids.

Spatially-restricted inflammation-induced senescent-like glia in multiple sclerosis and patient-derived organoids.

Journal: Nature communications

Published: June 15, 2025

FLAMeS: A Robust Deep Learning Model for Automated Multiple Sclerosis Lesion Segmentation.

FLAMeS: A Robust Deep Learning Model for Automated Multiple Sclerosis Lesion Segmentation.

Journal: medRxiv : the preprint server for health sciences

Published: June 06, 2025

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions.

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions.

Journal: Computers in biology and medicine

Published: May 28, 2025

Machine learning-based combination of the central vein sign, cortical lesions and paramagnetic rim lesions: a web-based tool for the diagnosis of multiple sclerosis.

Machine learning-based combination of the central vein sign, cortical lesions and paramagnetic rim lesions: a web-based tool for the diagnosis of multiple sclerosis.

Journal: Brain communications

Published: May 28, 2025

A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation.

A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation.

Journal: Journal of neuroimaging : official journal of the American Society of Neuroimaging

Published: May 23, 2025

Reliability of paramagnetic rim lesion detection at 1.5T MRI in multiple sclerosis patients.

Reliability of paramagnetic rim lesion detection at 1.5T MRI in multiple sclerosis patients.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Published: February 01, 2025

Emerging MRI biomarkers for the diagnosis of multiple sclerosis.

Emerging MRI biomarkers for the diagnosis of multiple sclerosis.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Published: November 08, 2024

Showing 1-12 of 44

Last Updated: 09/26/2026