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American Journal of Physiology. Lung Cellular and Molecular Physiology|March 16, 2018
Nintedanib reduces pulmonary fibrosis in a model of rheumatoid arthritis-associated interstitial lung diseaseElizabeth F Redente, Martin A Aguilar, Bart P Black, et al.Journal of the National Cancer Institute|December 2, 2010
Baseline characteristics of participants in the randomized national lung screening trial, Denise R Aberle, Amanda M Adams, et al.American Journal of Respiratory and Critical Care Medicine|August 29, 2013
Distinct quantitative computed tomography emphysema patterns are associated with physiology and function in smokersPeter J Castaldi, Raúl San José Estépar, Carlos S Mendoza, et al.American Journal of Respiratory and Critical Care Medicine|April 9, 2011
BUILD-3: a randomized, controlled trial of bosentan in idiopathic pulmonary fibrosisTalmadge E King, Kevin K Brown, Ganesh Raghu, et al.International Forum of Allergy & Rhinology|April 20, 2020
Volumetric assessment of paranasal sinus opacification on computed tomography can be automated using a convolutional neural networkStephen M Humphries, Juan Pablo Centeno, Aleena M Notary, et al.Chest|February 1, 2013
High-resolution CT scan findings in familial interstitial pneumonia do not conform to those of idiopathic interstitial pneumoniaHo Yun Lee, Joon Beom Seo, Mark P Steele, et al.Chest|May 24, 2013
Characterizing functional lung heterogeneity in COPD using reference equations for CT scan-measured lobar volumesCarolyn E Come, Alejandro A Diaz, Douglas Curran-Everett, et al.American Journal of Respiratory and Critical Care Medicine|October 29, 2019
Disease Progression Modeling in Chronic Obstructive Pulmonary DiseaseAlexandra L Young, Felix J S Bragman, Bojidar Rangelov, et al.Eclinicalmedicine|August 22, 2024
Approach to diagnosing and managing granulomatous-lymphocytic interstitial lung diseaseJessica Galant-Swafford, Jason Catanzaro, Rosane Duarte Achcar, et al.BMC Genomics|May 17, 2018
Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutionsYoonha Choi, Tiffany Ting Liu, Daniel G Pankratz, et al.Pageof 35