@article{f0e2c2b8a83a4d958663bf6a9137c0d3,
title = "Computed tomographic biomarkers in idiopathic pulmonary fibrosis: The future of quantitative analysis",
abstract = "None",
keywords = "Biomarkers, Forecasting, Humans, Idiopathic Pulmonary Fibrosis, Lung, Tomography, X-Ray Computed, Biomarkers, Forecasting, Humans, Idiopathic Pulmonary Fibrosis, Lung, Tomography, X-Ray Computed",
author = "X. Wu and Kim, \{G. H.\} and Salisbury, \{M. L.\} and D. Barber and Bartholmai, \{B. J.\} and Brown, \{K. K.\} and Conoscenti, \{C. S.\} and De, \{Backer J.\} and Flaherty, \{K. R.\} and Gruden, \{J. F.\} and Hoffman, \{E. A.\} and Humphries, \{S. M.\} and J. Jacob and Maher, \{T. M.\} and G. Raghu and Luca Richeldi and Ross, \{B. D.\} and R. Schlenker-Herceg and N. Sverzellati and Wells, \{A. U.\} and Martinez, \{F. J.\} and Lynch, \{D. A.\} and J. Goldin and Walsh, \{S. L. F.\}",
year = "2019",
doi = "10.1164/rccm.201803-0444PP",
language = "English",
volume = "199",
pages = "12--21",
journal = "American Journal of Respiratory and Critical Care Medicine",
issn = "1073-449X",
publisher = "American Thoracic Society",
number = "1",
}