Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Federico Mento

Showing results (11-20 of 27) with videos related to

Pageof 3
Sort By:
Ultrasound in Medicine & Biology|September 26, 2022
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative AnalysesFederico Mento, Umair Khan, Francesco Faita, et al.
The Ultrasound Journal|June 11, 2026
Quantitative lung ultrasound spectroscopy: First comparison with gold standard computed tomography scan and standard lung ultrasound for diagnosis of pneumonia versus cardiogenic pulmonary edemaMattia Perpenti, Eleonora Balzani, Federico Mento, et al.
Computers in Biology and Medicine|December 11, 2025
Fully automated Quantitative Lung Ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical studyMattia Perpenti, Federico Mento, Giovanni Pierro, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 23, 2022
Deep Learning-Based Classification of Reduced Lung Ultrasound Data From COVID-19 PatientsUmair Khan, Federico Mento, Lucrezia Nicolussi Giacomaz, et al.
Applied Soft Computing|December 19, 2022
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision treesLeonardo Lucio Custode, Federico Mento, Francesco Tursi, et al.
Computers in Biology and Medicine|April 26, 2026
Novel velocity model for the quantitative characterization of pleural sliding, in vivo multicenter clinical study on RF lung ultrasound dataChiara Zangrandi, Federico Mento, Mattia Perpenti, et al.
Computers in Biology and Medicine|October 24, 2025
Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoringHamed Jalilian, Sajjad Afrakhteh, Federico Mento, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|November 24, 2020
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed?Federico Mento, Tiziano Perrone, Veronica Narvena Macioce, et al.
Computers in Biology and Medicine|December 23, 2023
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compressionUmair Khan, Sajjad Afrakhteh, Federico Mento, et al.
The Journal of the Acoustical Society of America|January 1, 2022
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound imagesRoshan Roshankhah, Yasamin Karbalaeisadegh, Hastings Greer, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Ultrasound in Medicine & Biology|September 26, 2022
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative AnalysesFederico Mento, Umair Khan, Francesco Faita, et al.
The Ultrasound Journal|June 11, 2026
Quantitative lung ultrasound spectroscopy: First comparison with gold standard computed tomography scan and standard lung ultrasound for diagnosis of pneumonia versus cardiogenic pulmonary edemaMattia Perpenti, Eleonora Balzani, Federico Mento, et al.
Computers in Biology and Medicine|December 11, 2025
Fully automated Quantitative Lung Ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical studyMattia Perpenti, Federico Mento, Giovanni Pierro, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 23, 2022
Deep Learning-Based Classification of Reduced Lung Ultrasound Data From COVID-19 PatientsUmair Khan, Federico Mento, Lucrezia Nicolussi Giacomaz, et al.
Applied Soft Computing|December 19, 2022
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision treesLeonardo Lucio Custode, Federico Mento, Francesco Tursi, et al.
Computers in Biology and Medicine|April 26, 2026
Novel velocity model for the quantitative characterization of pleural sliding, in vivo multicenter clinical study on RF lung ultrasound dataChiara Zangrandi, Federico Mento, Mattia Perpenti, et al.
Computers in Biology and Medicine|October 24, 2025
Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoringHamed Jalilian, Sajjad Afrakhteh, Federico Mento, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|November 24, 2020
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed?Federico Mento, Tiziano Perrone, Veronica Narvena Macioce, et al.
Computers in Biology and Medicine|December 23, 2023
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compressionUmair Khan, Sajjad Afrakhteh, Federico Mento, et al.
The Journal of the Acoustical Society of America|January 1, 2022
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound imagesRoshan Roshankhah, Yasamin Karbalaeisadegh, Hastings Greer, et al.
Pageof 3