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Federico Mento

Showing results (21-30 of 27) with videos related to

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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound DataLeonardo Carrer, Elena Donini, Daniele Marinelli, et al.
IEEE Transactions on Medical Imaging|October 4, 2021
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19Oz Frank, Nir Schipper, Mordehay Vaturi, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|August 21, 2020
Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations?Andrea Smargiassi, Gino Soldati, Elena Torri, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|April 1, 2020
Proposal for International Standardization of the Use of Lung Ultrasound for Patients With COVID-19: A Simple, Quantitative, Reproducible MethodGino Soldati, Andrea Smargiassi, Riccardo Inchingolo, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|December 3, 2021
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based ApproachLibertario Demi, Federico Mento, Antonio Di Sabatino, et al.
Ultrasonics|April 4, 2023
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-levelUmair Khan, Sajjad Afrakhteh, Federico Mento, et al.
IEEE Transactions on Medical Imaging|May 15, 2020
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung UltrasoundSubhankar Roy, Willi Menapace, Sebastiaan Oei, et al.
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Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|August 4, 2020
Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound DataLeonardo Carrer, Elena Donini, Daniele Marinelli, et al.
IEEE Transactions on Medical Imaging|October 4, 2021
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19Oz Frank, Nir Schipper, Mordehay Vaturi, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|August 21, 2020
Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations?Andrea Smargiassi, Gino Soldati, Elena Torri, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|April 1, 2020
Proposal for International Standardization of the Use of Lung Ultrasound for Patients With COVID-19: A Simple, Quantitative, Reproducible MethodGino Soldati, Andrea Smargiassi, Riccardo Inchingolo, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|December 3, 2021
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based ApproachLibertario Demi, Federico Mento, Antonio Di Sabatino, et al.
Ultrasonics|April 4, 2023
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-levelUmair Khan, Sajjad Afrakhteh, Federico Mento, et al.
IEEE Transactions on Medical Imaging|May 15, 2020
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung UltrasoundSubhankar Roy, Willi Menapace, Sebastiaan Oei, et al.
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