Raul San Jose Estepar, Ph.D.
This page shows the publications co-authored by Raul San Jose Estepar and Peter Castaldi.
Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study. Chest. 2020 05; 157(5):1147-1157.
Visual Assessment of Chest Computed Tomographic Images Is Independently Useful for Genetic Association Analysis in Studies of Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc. 2017 Jan; 14(1):33-40.
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. IEEE Trans Med Imaging. 2016 Sep 13.
Genome-wide association identifies regulatory Loci associated with distinct local histogram emphysema patterns. Am J Respir Crit Care Med. 2014 Aug 15; 190(4):399-409.
Distinct quantitative computed tomography emphysema patterns are associated with physiology and function in smokers. Am J Respir Crit Care Med. 2013 Nov 01; 188(9):1083-90.
Machine Learning and Prediction of All-Cause Mortality in COPD. Chest. 2020 09; 158(3):952-964.
COPDGene® 2019: Redefining the Diagnosis of Chronic Obstructive Pulmonary Disease. Chronic Obstr Pulm Dis. 2019 Nov; 6(5):384-399.
Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression. Chest. 2018 01; 153(1):65-76.
Genetic Association and Risk Scores in a Chronic Obstructive Pulmonary Disease Meta-analysis of 16,707 Subjects. Am J Respir Cell Mol Biol. 2017 07; 57(1):35-46.
A Novel Spirometric Measure Identifies Mild COPD Unidentified by Standard Criteria. Chest. 2016 Nov; 150(5):1080-1090.
A Genome-Wide Association Study of Emphysema and Airway Quantitative Imaging Phenotypes. Am J Respir Crit Care Med. 2015 Sep 01; 192(5):559-69.
Pneumothorax risk factors in smokers with and without chronic obstructive pulmonary disease. Ann Am Thorac Soc. 2014 Nov; 11(9):1387-94.
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