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Mario Tranfa

Showing results (11-20 of 46) with videos related to

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Cerebellum (London, England)|May 8, 2023
A Review of Brain and Pituitary Gland MRI Findings in Patients with Ataxia and HypogonadismAlessandra Scaravilli, Mario Tranfa, Giuseppe Pontillo, et al.
Cerebellum (London, England)|March 4, 2024
CHARON: An Imaging-Based Diagnostic Algorithm to Navigate Through the Sea of Hereditary Degenerative AtaxiasAlessandra Scaravilli, Mario Tranfa, Giuseppe Pontillo, et al.
Neuroradiology|February 20, 2024
The impact of image contrast, resolution and reader expertise on black hole identification in Multiple SclerosisMario Tranfa, Alessandra Scaravilli, Chiara Pastore, et al.
Journal of the Neurological Sciences|March 4, 2026
Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived featuresAntonio Ianniello, Elena Barbuti, Maria Francesca Capobianco, et al.
Multiple Sclerosis and Related Disorders|July 1, 2023
Exploring the relation between reserve and fatigue in multiple sclerosisMario Tranfa, Valentina Virginia Iuzzolino, Pierpaolo Perrella, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
BiomarkersLuigi Lorenzini, Mario Tranfa, Mara Ten Kate, et al.
AJNR. American Journal of Neuroradiology|July 3, 2025
Predicting Ten-Year Clinical Outcomes in Multiple Sclerosis with Radiomics-Based Machine Learning ModelsMario Tranfa, Maria Petracca, Renato Cuocolo, et al.
European Radiology|January 14, 2022
The central vein sign helps in differentiating multiple sclerosis from its mimickers: lessons from Fabry diseaseMario Tranfa, Mario Tortora, Giuseppe Pontillo, et al.
Human Brain Mapping|March 23, 2024
Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigmAlfredo Montella, Mario Tranfa, Alessandra Scaravilli, et al.
Radiology|September 23, 2025
Prevalence and Incidence of Paramagnetic Rim Lesions in Multiple Sclerosis: A Systematic Review and Meta-AnalysisMario Tranfa, Valeria Cantoni, Roberta Green, et al.
Pageof 5

Showing results (11-20 of 46) with videos related to

Sort By:
Pageof 5
Cerebellum (London, England)|May 8, 2023
A Review of Brain and Pituitary Gland MRI Findings in Patients with Ataxia and HypogonadismAlessandra Scaravilli, Mario Tranfa, Giuseppe Pontillo, et al.
Cerebellum (London, England)|March 4, 2024
CHARON: An Imaging-Based Diagnostic Algorithm to Navigate Through the Sea of Hereditary Degenerative AtaxiasAlessandra Scaravilli, Mario Tranfa, Giuseppe Pontillo, et al.
Neuroradiology|February 20, 2024
The impact of image contrast, resolution and reader expertise on black hole identification in Multiple SclerosisMario Tranfa, Alessandra Scaravilli, Chiara Pastore, et al.
Journal of the Neurological Sciences|March 4, 2026
Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived featuresAntonio Ianniello, Elena Barbuti, Maria Francesca Capobianco, et al.
Multiple Sclerosis and Related Disorders|July 1, 2023
Exploring the relation between reserve and fatigue in multiple sclerosisMario Tranfa, Valentina Virginia Iuzzolino, Pierpaolo Perrella, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
BiomarkersLuigi Lorenzini, Mario Tranfa, Mara Ten Kate, et al.
AJNR. American Journal of Neuroradiology|July 3, 2025
Predicting Ten-Year Clinical Outcomes in Multiple Sclerosis with Radiomics-Based Machine Learning ModelsMario Tranfa, Maria Petracca, Renato Cuocolo, et al.
European Radiology|January 14, 2022
The central vein sign helps in differentiating multiple sclerosis from its mimickers: lessons from Fabry diseaseMario Tranfa, Mario Tortora, Giuseppe Pontillo, et al.
Human Brain Mapping|March 23, 2024
Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigmAlfredo Montella, Mario Tranfa, Alessandra Scaravilli, et al.
Radiology|September 23, 2025
Prevalence and Incidence of Paramagnetic Rim Lesions in Multiple Sclerosis: A Systematic Review and Meta-AnalysisMario Tranfa, Valeria Cantoni, Roberta Green, et al.
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