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On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed?
Mento F, Perrone T, Macioce VN, Tursi F, Buonsenso D, Torri E, Smargiassi A, Inchingolo R, Soldati G, Demi L. Mento F, et al. Among authors: macioce vn. J Ultrasound Med. 2021 Oct;40(10):2235-2238. doi: 10.1002/jum.15580. Epub 2020 Nov 24. J Ultrasound Med. 2021. PMID: 33231895 Free PMC article.
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach.
Demi L, Mento F, Di Sabatino A, Fiengo A, Sabatini U, Macioce VN, Robol M, Tursi F, Sofia C, Di Cienzo C, Smargiassi A, Inchingolo R, Perrone T. Demi L, et al. Among authors: macioce vn. J Ultrasound Med. 2022 Sep;41(9):2203-2215. doi: 10.1002/jum.15902. Epub 2021 Dec 3. J Ultrasound Med. 2022. PMID: 34859905 Free PMC article.
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level.
Khan U, Afrakhteh S, Mento F, Fatima N, De Rosa L, Custode LL, Azam Z, Torri E, Soldati G, Tursi F, Macioce VN, Smargiassi A, Inchingolo R, Perrone T, Iacca G, Demi L. Khan U, et al. Among authors: macioce vn. Ultrasonics. 2023 Jul;132:106994. doi: 10.1016/j.ultras.2023.106994. Epub 2023 Mar 30. Ultrasonics. 2023. PMID: 37015175 Free PMC article.