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Federico Mento

Showing results (1-10 of 27) with videos related to

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The Ultrasound Journal|March 13, 2026
On the interception of the optimal imaging plane for pleural line scanning with automatic robot assisted lung ultrasound: An experimental studyFederico Mento, Libertario Demi
The Journal of the Acoustical Society of America|September 3, 2020
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro studyFederico Mento, Libertario Demi
The Journal of the Acoustical Society of America|January 1, 2022
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro studyFederico Mento, Libertario Demi
The Journal of the Acoustical Society of America|May 4, 2021
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometriesEmanuele Peschiera, Federico Mento, Libertario Demi
Ultrasonics|August 30, 2023
Ultrasound multifrequency strategy to estimate the lung surface roughness, in silico and in vitro resultsFederico Mento, Matteo Perini, Ciro Malacarne, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Quantitative Lung Ultrasound Spectroscopy Applied to the Diagnosis of Pulmonary Fibrosis: The First Clinical StudyFederico Mento, Gino Soldati, Renato Prediletto, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 5, 2024
Lung Ultrasound Spectroscopy Applied to the Differential Diagnosis of Pulmonary Diseases: An In Vivo Multicenter Clinical StudyFederico Mento, Mattia Perpenti, Giuliana Barcellona, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|July 7, 2022
Human-to-AI Interrater Agreement for Lung Ultrasound Scoring in COVID-19 PatientsNoreen Fatima, Federico Mento, Alessandro Zanforlin, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 27, 2025
Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial NetworkNoreen Fatima, Federico Mento, Sajjad Afrakhteh, et al.
The Journal of the Acoustical Society of America|July 9, 2021
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter studyFederico Mento, Tiziano Perrone, Anna Fiengo, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
The Ultrasound Journal|March 13, 2026
On the interception of the optimal imaging plane for pleural line scanning with automatic robot assisted lung ultrasound: An experimental studyFederico Mento, Libertario Demi
The Journal of the Acoustical Society of America|September 3, 2020
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro studyFederico Mento, Libertario Demi
The Journal of the Acoustical Society of America|January 1, 2022
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro studyFederico Mento, Libertario Demi
The Journal of the Acoustical Society of America|May 4, 2021
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometriesEmanuele Peschiera, Federico Mento, Libertario Demi
Ultrasonics|August 30, 2023
Ultrasound multifrequency strategy to estimate the lung surface roughness, in silico and in vitro resultsFederico Mento, Matteo Perini, Ciro Malacarne, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Quantitative Lung Ultrasound Spectroscopy Applied to the Diagnosis of Pulmonary Fibrosis: The First Clinical StudyFederico Mento, Gino Soldati, Renato Prediletto, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|September 5, 2024
Lung Ultrasound Spectroscopy Applied to the Differential Diagnosis of Pulmonary Diseases: An In Vivo Multicenter Clinical StudyFederico Mento, Mattia Perpenti, Giuliana Barcellona, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|July 7, 2022
Human-to-AI Interrater Agreement for Lung Ultrasound Scoring in COVID-19 PatientsNoreen Fatima, Federico Mento, Alessandro Zanforlin, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 27, 2025
Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial NetworkNoreen Fatima, Federico Mento, Sajjad Afrakhteh, et al.
The Journal of the Acoustical Society of America|July 9, 2021
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter studyFederico Mento, Tiziano Perrone, Anna Fiengo, et al.
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