| 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 | 749 | 2020 |
| 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 | 625 | 2020 |
| 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 | 601 | 2020 |
| 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 | 92 | 2020 |
| 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 | 67 | 2021 |
| 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 | 64 | 2020 |
| 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 | 62 | 2021 |
| 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 | 62 | 2020 |
| 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 | 56 | 2021 |
| 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 | 49 | 2022 |
| 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 | 45 | 2021 |
| 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 | 38 | 2022 |
| 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 | 36 | 2020 |
| 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 | 34 | 2023 |
| 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 | 27 | 2023 |
| 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 | 27 | 2021 |
| 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 | 26 | 2023 |
| 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 | 26 | 2022 |
| 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 | 26 | 2021 |
| 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 | 24 | 2021 |
