Benedetta Tafuri

University of Bari Aldo Moro

Italy

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Articles (17)

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2025

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2024

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2024

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2024

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2022

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2022

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2022

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2022

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2022

Collaborators (5)

Nicola Amoroso

Associate Professor

University of Bari Aldo Moro

ITALY

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Marco Filardi

Assistant Professor

University of Bari Aldo Moro

ITALY

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Daniele Urso

King’s College London

UNITED KINGDOM

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Ernesto Picardi

Full Professor in Molecular Biology

University of Bari Aldo Moro

ITALY

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Giancarlo Logroscino

Full Professor

University Aldo Moro

ITALY

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Benedetta Tafuri

Research Interests

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Articles (17)

Radiomic alterations and clinical correlates of hypothalamic nuclei in ALS

Deep Learning–based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy

Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis

Sleep and circadian rhythm disruptions in behavioral variant frontotemporal dementia

Explainable machine learning radiomics model for Primary Progressive Aphasia classification

Nucleus Basalis of Meynert Degeneration Predicts Cognitive Decline in Corticobasal Syndrome

Cortical signature of depressive symptoms in frontotemporal dementia: A surface‐based analysis

The impact of upper and lower motor neuron burden on diagnostic certainty, and clinical course of spinal-onset amyotrophic lateral sclerosis: a cluster-based approach

Asymmetry of radiomics features in the white matter of patients with primary progressive aphasia

Behavioral variant frontotemporal dementia in patients with primary psychiatric disorder: A magnetic resonance imaging study

Grey-matter correlates of empathy in 4-Repeat Tauopathies

Neuroimaging Findings in a Patient with Anti-IgLON5 Disease: Cerebrospinal Fluid Dynamics Abnormalities

A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics

Radiomics Model for Frontotemporal Dementia Diagnosis Using T1-Weighted MRI.

The Role of Graph Theory in Evaluating Brain Network Alterations in Frontotemporal Dementia.

The impact of harmonization on radiomic features in Parkinson’s disease and healthy controls: A multicenter study

Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources

Collaborators (5)

Nicola Amoroso

Marco Filardi

Daniele Urso

Ernesto Picardi

Giancarlo Logroscino

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