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For: Hammon M, Dankerl P, Voit-Höhne HL, Sandmair M, Kammerer FJ, Uder M, Janka R. Improving diagnostic accuracy in assessing pulmonary edema on bedside chest radiographs using a standardized scoring approach. BMC Anesthesiol 2014;14:94. [PMID: 25364301 DOI: 10.1186/1471-2253-14-94] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 1.5] [Reference Citation Analysis]
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9 Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks. medRxiv 2020:2020. [PMID: 32511570 DOI: 10.1101/2020.05.20.20108159] [Cited by in Crossref: 11] [Cited by in F6Publishing: 1] [Article Influence: 5.5] [Reference Citation Analysis]
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11 Li W, Pauluhn J. Phosgene-induced lung edema: Comparison of clinical criteria for increased extravascular lung water content with postmortem lung gravimetry and lavage-protein in rats and dogs. Toxicology Letters 2019;305:32-9. [DOI: 10.1016/j.toxlet.2019.01.006] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]