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Federated learning for predicting clinical outcomes in patients with COVID-19.
Dayan I, Roth HR, Zhong A, Harouni A, Gentili A, Abidin AZ, Liu A, Costa AB, Wood BJ, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan P, Xu D, Wu D, Huang E, Kitamura FC, Lacey G, de Antônio Corradi GC, Nino G, Shin HH, Obinata H, Ren H, Crane JC, Tetreault J, Guan J, Garrett JW, Kaggie JD, Park JG, Dreyer K, Juluru K, Kersten K, Rockenbach MABC, Linguraru MG, Haider MA, AbdelMaseeh M, Rieke N, Damasceno PF, E Silva PMC, Wang P, Xu S, Kawano S, Sriswasdi S, Park SY, Grist TM, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon YJ, Quraini A, Feng A, Priest AN, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Díez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess CP, Compas C, Bhatia D, Oermann EK, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Murthy KNK, Fu LC, de Mendonça MRF, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod SL, Reed S, Gräf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, de Lavor VL, Rakvongthai Y, Lee YR, Wen Y, Gilbert FJ, Flores MG, Li Q. Dayan I, et al. Among authors: gentili a. Nat Med. 2021 Oct;27(10):1735-1743. doi: 10.1038/s41591-021-01506-3. Epub 2021 Sep 15. Nat Med. 2021. PMID: 34526699 Free PMC article.
Federated Learning used for predicting outcomes in SARS-COV-2 patients.
Flores M, Dayan I, Roth H, Zhong A, Harouni A, Gentili A, Abidin A, Liu A, Costa A, Wood B, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan C, Xu D, Wu D, Huang E, Kitamura F, Lacey G, César de Antônio Corradi G, Shin HH, Obinata H, Ren H, Crane J, Tetreault J, Guan J, Garrett J, Park JG, Dreyer K, Juluru K, Kersten K, Bezerra Cavalcanti Rockenbach MA, Linguraru M, Haider M, AbdelMaseeh M, Rieke N, Damasceno P, Cruz E Silva PM, Wang P, Xu S, Kawano S, Sriswasdi S, Park SY, Grist T, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon F, Gilbert F, Kaggie J, Li Q, Quraini A, Feng A, Priest A, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Diez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess C, Compas C, Bhatia D, Oermann E, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Keshava Murthy KN, Fu LC, Furtado de Mendonça MR, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod S, Reed S, Graf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, de Lima Lavor V, Rakvongthai Y, Lee YR, Wen Y. Flores M, et al. Among authors: gentili a. Res Sq [Preprint]. 2021 Jan 8:rs.3.rs-126892. doi: 10.21203/rs.3.rs-126892/v1. Res Sq. 2021. PMID: 33442676 Free PMC article. Updated. Preprint.
RadBERT: Adapting Transformer-based Language Models to Radiology.
Yan A, McAuley J, Lu X, Du J, Chang EY, Gentili A, Hsu CN. Yan A, et al. Among authors: gentili a. Radiol Artif Intell. 2022 Jun 15;4(4):e210258. doi: 10.1148/ryai.210258. eCollection 2022 Jul. Radiol Artif Intell. 2022. PMID: 35923376 Free PMC article.
Magnetic resonance imaging of elbow instability.
Chung CB, Stanley AJ, Gentili A. Chung CB, et al. Among authors: gentili a. Semin Musculoskelet Radiol. 2005 Mar;9(1):67-76. doi: 10.1055/s-2005-867104. Semin Musculoskelet Radiol. 2005. PMID: 15812713 Review.
Magnetic resonance imaging of the hip.
Hong RJ, Hughes TH, Gentili A, Chung CB. Hong RJ, et al. Among authors: gentili a. J Magn Reson Imaging. 2008 Mar;27(3):435-45. doi: 10.1002/jmri.21124. J Magn Reson Imaging. 2008. PMID: 18183574 Review.
Cost accounting for the radiologist.
Gentili A. Gentili A. AJR Am J Roentgenol. 2014 May;202(5):1058-61. doi: 10.2214/AJR.13.11549. AJR Am J Roentgenol. 2014. PMID: 24758660
341 results