Follow
Federico Mento
Federico Mento
University of Trento, Ultrasound Lab Trento (ULTRa)
Verified email at unitn.it
Title
Cited by
Cited by
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
5682020
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
5182020
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
4212020
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
622020
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
502021
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
392021
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
372020
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
372020
On lung ultrasound patterns specificity in the management of COVID‐19 patients
G Soldati, A Smargiassi, R Inchingolo, D Buonsenso, T Perrone, ...
Journal of Ultrasound in Medicine 39 (11), 2283, 2020
312020
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
272021
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
192022
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
182021
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
122021
Point of care image analysis for COVID-19
D Yaron, D Keidar, E Goldstein, Y Shachar, A Blass, O Frank, N Schipper, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
92021
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, 2022
82022
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
82021
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
72021
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning
S Bagon, M Galun, O Frank, N Schipper, M Vaturi, G Zalcberg, G Soldati, ...
The Journal of the Acoustical Society of America 148 (4), 2736-2736, 2020
72020
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
62022
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients’ condition
F Mento, T Perrone, A Fiengo, F Tursi, VN Macioce, A Smargiassi, ...
Intensive Care Medicine 47 (7), 811-812, 2021
62021
The system can't perform the operation now. Try again later.
Articles 1–20