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Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes.
Humphries SM, Thieke D, Baraghoshi D, Strand MJ, Swigris JJ, Chae KJ, Hwang HJ, Oh AS, Flaherty KR, Adegunsoye A, Jablonski R, Lee CT, Husain AN, Chung JH, Strek ME, Lynch DA. Humphries SM, et al. Among authors: baraghoshi d. Am J Respir Crit Care Med. 2024 May 1;209(9):1121-1131. doi: 10.1164/rccm.202307-1191OC. Am J Respir Crit Care Med. 2024. PMID: 38207093
Deep Learning-based Fibrosis Extent on Computed Tomography Predicts Outcome of Fibrosing Interstitial Lung Disease Independent of Visually Assessed Computed Tomography Pattern.
Oh AS, Lynch DA, Swigris JJ, Baraghoshi D, Dyer DS, Hale VA, Koelsch TL, Marrocchio C, Parker KN, Teague SD, Flaherty KR, Humphries SM. Oh AS, et al. Among authors: baraghoshi d. Ann Am Thorac Soc. 2024 Feb;21(2):218-227. doi: 10.1513/AnnalsATS.202301-084OC. Ann Am Thorac Soc. 2024. PMID: 37696027
Predicting COPD Progression in Current and Former Smokers Using a Joint Model for Forced Expiratory Volume in 1 Second and Forced Expiratory Volume in 1 Second to Forced Vital Capacity Ratio.
Strand M, Khatiwada A, Baraghoshi D, Lynch D, Silverman EK, Bhatt SP, Austin E, Regan EA, Boriek AM, Crapo JD. Strand M, et al. Among authors: baraghoshi d. Chronic Obstr Pulm Dis. 2022 Jul 29;9(3):439-453. doi: 10.15326/jcopdf.2022.0281. Chronic Obstr Pulm Dis. 2022. PMID: 35905755 Free PMC article.
Quantitative computed tomography predicts outcomes in idiopathic pulmonary fibrosis.
Humphries SM, Mackintosh JA, Jo HE, Walsh SLF, Silva M, Calandriello L, Chapman S, Ellis S, Glaspole I, Goh N, Grainge C, Hopkins PMA, Keir GJ, Moodley Y, Reynolds PN, Walters EH, Baraghoshi D, Wells AU, Lynch DA, Corte TJ. Humphries SM, et al. Among authors: baraghoshi d. Respirology. 2022 Dec;27(12):1045-1053. doi: 10.1111/resp.14333. Epub 2022 Jul 25. Respirology. 2022. PMID: 35875881 Free PMC article.
19 results