Mario L. Fravolini

Perugia, Italy

Last Updated: 09/26/2026

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Found 26 publications

Machine learning for automated differentiation of parkinson's disease and its mimics using ¹²³I-mIBG scintigraphy: insights from a multicentre real-world cohort (ITA-mIBG study).

Machine learning for automated differentiation of parkinson's disease and its mimics using ¹²³I-mIBG scintigraphy: insights from a multicentre real-world cohort (ITA-mIBG study).

Journal: European journal of nuclear medicine and molecular imaging

Published: November 09, 2025

Diagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane Brain SPECT: A Machine Learning-Based Differentiation of Parkinson's Disease and Essential Tremor.

Diagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane Brain SPECT: A Machine Learning-Based Differentiation of Parkinson's Disease and Essential Tremor.

Journal: Biomedicines

Published: August 29, 2025

Radiomics Features from Positron Emission Tomography with [18F] Fluorodeoxyglucose Can Help Predict Cervical Nodal Status in Patients with Head and Neck Cancer.

Radiomics Features from Positron Emission Tomography with [18F] Fluorodeoxyglucose Can Help Predict Cervical Nodal Status in Patients with Head and Neck Cancer.

Journal: Cancers

Published: October 20, 2024

Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [18F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG PET/CT) in Patients with Head and Neck Cancer.

Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [18F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG PET/CT) in Patients with Head and Neck Cancer.

Journal: Sensors (Basel, Switzerland)

Published: August 15, 2023

Size measurement of lung nodules on CT: which diameter is most stable to inter-observer variability?

Size measurement of lung nodules on CT: which diameter is most stable to inter-observer variability?

Journal: Clinical imaging

Published: November 17, 2022

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18F-FDG PET/CT and Automated Classifiers.

Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18F-FDG PET/CT and Automated Classifiers.

Journal: Diagnostics (Basel, Switzerland)

Published: August 17, 2022

Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans.

Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans.

Journal: Sensors (Basel, Switzerland)

Published: May 30, 2022

Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods.

Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods.

Journal: Sensors (Basel, Switzerland)

Published: February 21, 2022

PET with amino acid tracers and radiomics: An emerging opportunity for the diagnosis of brain tumours.

PET with amino acid tracers and radiomics: An emerging opportunity for the diagnosis of brain tumours.

Journal: Revista espanola de medicina nuclear e imagen molecular

Published: October 08, 2021

Impact of Lesion Delineation and Intensity Quantisation on the Stability of Texture Features from Lung Nodules on CT: A Reproducible Study.

Impact of Lesion Delineation and Intensity Quantisation on the Stability of Texture Features from Lung Nodules on CT: A Reproducible Study.

Journal: Diagnostics (Basel, Switzerland)

Published: May 29, 2021

A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation.

A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation.

Journal: Sensors (Basel, Switzerland)

Published: December 23, 2020

Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT.

Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT.

Journal: Quantitative imaging in medicine and surgery

Published: December 12, 2020

Showing 1-12 of 26

Last Updated: 09/26/2026