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A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia.
Scapicchio C, Chincarini A, Ballante E, Berta L, Bicci E, Bortolotto C, Brero F, Cabini RF, Cristofalo G, Fanni SC, Fantacci ME, Figini S, Galia M, Gemma P, Grassedonio E, Lascialfari A, Lenardi C, Lionetti A, Lizzi F, Marrale M, Midiri M, Nardi C, Oliva P, Perillo N, Postuma I, Preda L, Rastrelli V, Rizzetto F, Spina N, Talamonti C, Torresin A, Vanzulli A, Volpi F, Neri E, Retico A. Scapicchio C, et al. Among authors: fantacci me. Eur Radiol Exp. 2023 Apr 10;7(1):18. doi: 10.1186/s41747-023-00334-z. Eur Radiol Exp. 2023. PMID: 37032383 Free PMC article.
Lung nodule detection in low-dose and thin-slice computed tomography.
Retico A, Delogu P, Fantacci ME, Gori I, Preite Martinez A. Retico A, et al. Among authors: fantacci me. Comput Biol Med. 2008 Apr;38(4):525-34. doi: 10.1016/j.compbiomed.2008.02.001. Epub 2008 Mar 14. Comput Biol Med. 2008. PMID: 18342844 Clinical Trial.
Combination of computer-aided detection algorithms for automatic lung nodule identification.
Camarlinghi N, Gori I, Retico A, Bellotti R, Bosco P, Cerello P, Gargano G, Lopez Torres E, Megna R, Peccarisi M, Fantacci ME. Camarlinghi N, et al. Among authors: fantacci me. Int J Comput Assist Radiol Surg. 2012 May;7(3):455-64. doi: 10.1007/s11548-011-0637-6. Epub 2011 Jul 8. Int J Comput Assist Radiol Surg. 2012. PMID: 21739112
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria.
Lizzi F, Agosti A, Brero F, Cabini RF, Fantacci ME, Figini S, Lascialfari A, Laruina F, Oliva P, Piffer S, Postuma I, Rinaldi L, Talamonti C, Retico A. Lizzi F, et al. Among authors: fantacci me. Int J Comput Assist Radiol Surg. 2022 Feb;17(2):229-237. doi: 10.1007/s11548-021-02501-2. Epub 2021 Oct 26. Int J Comput Assist Radiol Surg. 2022. PMID: 34698988 Free PMC article.
36 results