Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis

Joseph Jacob, Brian J. Bartholmai, Coline H.M. van Moorsel, Srinivasan Rajagopalan, Anand Devaraj, Hendrik W. van Es, Teng Moua, Frouke T. van Beek, Ryan Clay, Marcel Veltkamp, Maria Kokosi, Angelo de Lauretis, Eoin P. Judge, Teresa M. Jacob, Tobias Peikert, Ronald Karwoski, Fabien Maldonado, Elisabetta Renzoni, Toby M. Maher, Andre AltmannAthol U. Wells

Research output: Contribution to journalLetter

2 Scopus citations
Original languageEnglish (US)
JournalThe European respiratory journal
Volume54
Issue number3
DOIs
StatePublished - Sep 1 2019

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

Cite this

Jacob, J., Bartholmai, B. J., van Moorsel, C. H. M., Rajagopalan, S., Devaraj, A., van Es, H. W., Moua, T., van Beek, F. T., Clay, R., Veltkamp, M., Kokosi, M., de Lauretis, A., Judge, E. P., Jacob, T. M., Peikert, T., Karwoski, R., Maldonado, F., Renzoni, E., Maher, T. M., ... Wells, A. U. (2019). Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis. The European respiratory journal, 54(3). https://doi.org/10.1183/13993003.02341-2018