Mento, Federico

Mento, Federico  

Ingegneria e scienza dell'Informaz (29/10/12-)  

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Risultati 1 - 20 di 41 (tempo di esecuzione: 0.084 secondi).
Titolo Anno di pubblicazione Autori Unitn File
Agreement between expert sonographers and artificial intelligence in the evaluation of lung ultrasound data acquired from COVID-19 patients 1-gen-2021 Demi, LMento, F +
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning 1-gen-2020 Mento, FedericoDemi, Libertario +
Automated segmentation and scoring of lung ultrasound images of COVID-19 patients 1-gen-2020 Mento, FedericoDemi, Libertario +
Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data 1-gen-2020 Carrer, LeonardoDonini, ElenaMarinelli, DanieleZanetti, MassimoMento, FedericoDemi, LibertarioBovolo, FrancescaBruzzone, Lorenzo +
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study 1-gen-2021 Mento, FedericoDemi, Libertario +
Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound 1-gen-2020 Roy, SubhankarMenapace, WilliFini, EnricoSaltori, CristianoMento, FedericoRota, PaoloPasserini, AndreaRicci, ElisaDemi, Libertario +
Deep Learning-based Classification of Reduced Lung Ultrasound Data from COVID-19 Patients 1-gen-2022 Khan, UmairMento, FedericoDemi, Libertario +
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study 1-gen-2021 Mento, FedericoDemi, Libertario
Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies 2-nov-2022 Mento, Federico
Differentiation of Pulmonary Fibrosis by Means of Quantitative Lung Ultrasound Spectroscopy, First Clinical Study in Humans 1-gen-2020 Mento, FedericoDemi, Libertario +
Effect of Imaging Parameters on the Visualization of Lung Ultrasound B-line Artifacts 1-gen-2020 Mento, FedericoDemi, Libertario
Human‐to‐AI Interrater Agreement for Lung Ultrasound Scoring in COVID‐19 Patients 1-gen-2022 Fatima, NoreenMento, FedericoDemi, Libertario +
The impact of B-lines' frequency characterization on lung ultrasound imaging, in vitro- and in vivo study 1-gen-2020 Mento, FedericoDemi, Libertario +
Impact of Frequency, Bandwidth, Focus, and Angle of Incidence on Lung Ultrasound Vertical Artifacts' Intensity, in-vitro Study 1-gen-2021 Mento, FedericoDemi, Libertario
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients 1-gen-2022 Khan, UmairMento, FedericoDemi, Libertario +
Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19 1-gen-2021 Mento, FedericoDemi, Libertario +
Investigating the link between intensity of lung ultrasound vertical artifacts and penetration depth of ultrasound waves, in silico study 1-gen-2022 Mento, FedericoDemi, Libertario
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images 1-gen-2021 Mento, FedericoDemi, Libertario +
Is there a role for lung ultrasound during the COVID-19 pandemic? 1-gen-2020 Mento, FedericoDemi, Libertario +
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients' condition 1-gen-2021 Mento, FedericoDemi, Libertario +