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Mostrati risultati da 21 a 40 di 56
Titolo Anno di pubblicazione Autori Unitn File
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed? 1-gen-2021 Mento, FedericoDemi, Libertario +
Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19 1-gen-2021 Mento, FedericoDemi, Libertario +
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometries 1-gen-2021 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 +
Impact of Frequency, Bandwidth, Focus, and Angle of Incidence on Lung Ultrasound Vertical Artifacts' Intensity, in-vitro Study 1-gen-2021 Mento, FedericoDemi, Libertario
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach 1-gen-2021 Demi, LibertarioMento, FedericoRobol, Marco +
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study 1-gen-2021 Mento, FedericoDemi, Libertario
There is a Validated Acquisition Protocol for Lung Ultrasonography in COVID-19 Pneumonia 1-gen-2021 Mento, FedericoDemi, Libertario +
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study 1-gen-2021 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 +
Multicenter Study on Lung Ultrasound COVID-19 and Post-COVID-19 Patients and On the Impact of Pixel Resolution on Automated Scoringof Lung Ultrasound Images From COVID-19 Patients 1-gen-2022 Libertario DemiFederico MentoUmair Khan +
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 1-gen-2022 Custode, Leonardo LucioMento, FedericoAfrakhteh, SajjadIacca, GiovanniDemi, Libertario +
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients 1-gen-2022 Khan, UmairMento, FedericoDemi, Libertario +
Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts 1-gen-2022 Mento, FedericoDemi, Libertario +
Multi-Frequency Approach to Estimate the Roughness of Lung Surface, in silico Study 1-gen-2022 Mento, FedericoDemi, Libertario
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses 1-gen-2022 Mento, FedericoKhan, UmairDemi, Libertario +
On the impact of pixel resolution on automated scoring of lung ultrasound images from coronavirus disease 2019 patients 1-gen-2022 Khan, UmairMento, 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
A standardised and evidenced-based lung ultrasound acquisition protocol and scoring system for the monitoring and stratification of COVID-19 and post-COVID-19 patients 1-gen-2022 Demi, LibertarioMento, FedericoRobol, Marco +
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 1-gen-2022 Custode, Leonardo LucioMento, FedericoAfrakhteh, SajjadDemi, LibertarioIacca, Giovanni +
Mostrati risultati da 21 a 40 di 56
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