Deep Learning-Based Prediction of Progressive Fibrotic Lung Disease on Baseline Computed Tomography in the Australian IPF Registry

H Jo; TJ Corte; L Calandriello; M Silva; N Sverzellati; S Chapman; W Cooper; S Ellis; I Glaspole; N Goh; C Grainge; P Hopkins; GJ Keir; A Maher; YI Moodley; PN Reynolds; EH Walters; L Leigh; C Oldmeadow; SM Humphries; DA Lynch; SL Walsh

Conference Proceedings

Deep Learning-Based Prediction of Progressive Fibrotic Lung Disease on Baseline Computed Tomography in the Australian IPF Registry

H Jo, TJ Corte, L Calandriello, M Silva, N Sverzellati, S Chapman, W Cooper, S Ellis, I Glaspole, N Goh, C Grainge, P Hopkins, GJ Keir, A Maher, YI Moodley, PN Reynolds, EH Walters, L Leigh, C Oldmeadow, SM Humphries Show all

AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE | AMER THORACIC SOC | Published : 2020

DOI: 10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a5994

Open access

University of Melbourne Researchers

Haydn Walters Author

Grants

Awarded by NIHR Clinician Scientist Award

Awarded by National Institutes of Health Research (NIHR)

Funding Acknowledgements

This abstract is funded by: Research facilitated by Australian IPF Registry and Centre of Research Excellence in Pulmonary Fibrosis; Simon Walsh is supported by an NIHR Clinician Scientist Award (CS-2018-18-ST2-004)