| scholarly article | Q13442814 |
| P50 | author | André Altmann | Q42941113 |
| Sujal R Desai | Q59981461 | ||
| Ryoko Egashira | Q76390576 | ||
| Joseph Jacob | Q87998624 | ||
| Sebastien Ourselin | Q88381761 | ||
| Toby Maher | Q42886895 | ||
| P2093 | author name string | Athol U Wells | |
| Brian J Bartholmai | |||
| Srinivasan Rajagopalan | |||
| Coline H M van Moorsel | |||
| Joseph Barnett | |||
| Hendrik W van Es | |||
| Arjun Nair | |||
| Anne Laure Brun | |||
| Maria Kokosi | |||
| Ronald Karwoski | |||
| Simon L F Walsh | |||
| Eoin P Judge | |||
| Gary Cross | |||
| Frouke T van Beek | |||
| Elisabetta Renzoni | |||
| Angelo de Lauretis | |||
| Marjolijn H L Struik | |||
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| P433 | issue | 6 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | pulmonary fibrosis | Q32446 |
| automation | Q184199 | ||
| idiopathic pulmonary fibrosis | Q2290446 | ||
| P304 | page(s) | 767-776 | |
| P577 | publication date | 2018-09-01 | |
| P1433 | published in | American Journal of Respiratory and Critical Care Medicine | Q4744267 |
| P1476 | title | Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis | |
| P478 | volume | 198 |
| Q92041717 | Automated Parenchymal Pattern Analysis of Treatment Responses in Pulmonary Alveolar Proteinosis |
| Q92931424 | Bacterial burden in the lower airways predicts disease progression in idiopathic pulmonary fibrosis and is independent of radiological disease extent |
| Q93099100 | Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images |
| Q92459477 | Experimental and quantitative imaging techniques in interstitial lung disease |
| Q90193612 | High-Resolution CT Change over Time in Patients with Idiopathic Pulmonary Fibrosis on Antifibrotic Treatment |
| Q64062461 | High-Resolution Computed Tomography (HRCT) Reflects Disease Progression in Patients with Idiopathic Pulmonary Fibrosis (IPF): Relationship with Lung Pathology |
| Q91923174 | Idiopathic Pulmonary Fibrosis: Best Practice in Monitoring and Managing a Relentless Fibrotic Disease |
| Q58735224 | Investigating the effects of nintedanib on biomarkers of extracellular matrix turnover in patients with IPF: design of the randomised placebo-controlled INMARK®trial |
| Q92732127 | Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis |
| Q91436674 | Lung transplantation for idiopathic pulmonary fibrosis |
| Q58592165 | Mediastinal Lymphadenopathy in Interstitial Lung Disease: Time to Be Counted |
| Q91882642 | New Developments in Imaging Idiopathic Pulmonary Fibrosis With Hyperpolarized Xenon Magnetic Resonance Imaging |
| Q60921512 | Predicting outcomes in rheumatoid arthritis related interstitial lung disease |
| Q58608704 | Quantitative CT analysis using functional imaging is superior in describing disease progression in idiopathic pulmonary fibrosis compared to forced vital capacity |
| Q64257982 | Quantitative CT-derived vessel metrics in idiopathic pulmonary fibrosis: A structure-function study |
| Q58797780 | Statin as a novel pharmacotherapy of pulmonary alveolar proteinosis |
| Q89476441 | Stratification of long-term outcome in stable idiopathic pulmonary fibrosis by combining longitudinal computed tomography and forced vital capacity |
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