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Federico Mento
Federico Mento
University of Trento, Ultrasound Lab Trento (ULTRa)
Verified email at unitn.it
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Year
Proposal for international standardization of the use of lung ultrasound for patients with COVID‐19: a simple, quantitative, reproducible method
G Soldati, A Smargiassi, R Inchingolo, D Buonsenso, T Perrone, ...
Journal of Ultrasound in Medicine 39 (7), 1413-1419, 2020
6782020
Is there a role for lung ultrasound during the COVID‐19 pandemic?
G Soldati, A Smargiassi, R Inchingolo, D Buonsenso, T Perrone, ...
Journal of Ultrasound in Medicine 39 (7), 1459, 2020
5632020
Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound
S Roy, W Menapace, S Oei, B Luijten, E Fini, C Saltori, I Huijben, ...
IEEE transactions on medical imaging 39 (8), 2676-2687, 2020
5412020
Automatic pleural line extraction and COVID-19 scoring from lung ultrasound data
L Carrer, E Donini, D Marinelli, M Zanetti, F Mento, E Torri, A Smargiassi, ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020
782020
On the impact of different lung ultrasound imaging protocols in the evaluation of patients affected by coronavirus disease 2019: how many acquisitions are needed?
F Mento, T Perrone, VN Macioce, F Tursi, D Buonsenso, E Torri, ...
Journal of Ultrasound in Medicine 40 (10), 2235-2238, 2021
562021
Quantitative lung ultrasound spectroscopy applied to the diagnosis of pulmonary fibrosis: The first clinical study
F Mento, G Soldati, R Prediletto, M Demi, L Demi
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020
512020
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro study
F Mento, L Demi
The Journal of the Acoustical Society of America 148 (2), 975-983, 2020
502020
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study
F Mento, T Perrone, A Fiengo, A Smargiassi, R Inchingolo, G Soldati, ...
The Journal of the Acoustical Society of America 149 (5), 3626-3634, 2021
422021
Lung ultrasound for COVID‐19 patchy pneumonia: extended or limited evaluations?
A Smargiassi, G Soldati, E Torri, F Mento, D Milardi, P Del Giacomo, ...
Journal of Ultrasound in Medicine 40 (3), 521-528, 2021
422021
Integrating domain knowledge into deep networks for lung ultrasound with applications to COVID-19
O Frank, N Schipper, M Vaturi, G Soldati, A Smargiassi, R Inchingolo, ...
IEEE transactions on medical imaging 41 (3), 571-581, 2021
372021
On lung ultrasound patterns specificity in the management of COVID-19 patients
G Soldati, A Smargiassi, R Inchingolo, D Buonsenso, T Perrone, ...
J Ultrasound Med 39 (11), 2283-2284, 2020
342020
Lung ultrasound in COVID‐19 and post‐COVID‐19 patients, an evidence‐based approach
L Demi, F Mento, A Di Sabatino, A Fiengo, U Sabatini, VN Macioce, ...
Journal of Ultrasound in Medicine 41 (9), 2203-2215, 2022
292022
Human‐to‐Ai interrater agreement for lung ultrasound scoring in COVID‐19 Patients
N Fatima, F Mento, A Zanforlin, A Smargiassi, E Torri, T Perrone, L Demi
Journal of Ultrasound in Medicine 42 (4), 843-851, 2023
202023
State of the art in lung ultrasound, shifting from qualitative to quantitative analyses
F Mento, U Khan, F Faita, A Smargiassi, R Inchingolo, T Perrone, L Demi
Ultrasound in Medicine & Biology 48 (12), 2398-2416, 2022
202022
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometries
E Peschiera, F Mento, L Demi
The Journal of the Acoustical Society of America 149 (4), 2304-2311, 2021
192021
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study
F Mento, L Demi
The Journal of the Acoustical Society of America 150 (6), 4075-4082, 2021
182021
Deep learning-based classification of reduced lung ultrasound data from COVID-19 patients
U Khan, F Mento, LN Giacomaz, R Trevisan, A Smargiassi, R Inchingolo, ...
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022
152022
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from covid-19 patients: From frame to prognostic-level
U Khan, S Afrakhteh, F Mento, N Fatima, L De Rosa, LL Custode, Z Azam, ...
Ultrasonics 132, 106994, 2023
132023
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees
LL Custode, F Mento, F Tursi, A Smargiassi, R Inchingolo, T Perrone, ...
Applied Soft Computing 133, 109926, 2023
132023
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images
R Roshankhah, Y Karbalaeisadegh, H Greer, F Mento, G Soldati, ...
The Journal of the Acoustical Society of America 150 (6), 4118-4127, 2021
132021
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