| Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria N Das, K Verstraete, S Stanojevic, M Topalovic, JM Aerts, W Janssens European Respiratory Journal 56 (6), 2020 | 29 | 2020 |
| Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials K Verstraete, I Gyselinck, H Huts, N Das, M Topalovic, M De Vos, ... thorax 78 (10), 983-989, 2023 | 6 | 2023 |
| Analyzing soccer players’ skill ratings over time using tensor-based methods K Verstraete, T Decroos, B Coussement, N Vannieuwenhoven, J Davis Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 6 | 2020 |
| Estimating airway resistance from forced expiration in spirometry N Das, K Verstraete, M Topalovic, JM Aerts, W Janssens Applied Sciences 9 (14), 2842, 2019 | 6 | 2019 |
| Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD K Verstraete, N Das, I Gyselinck, M Topalovic, T Troosters, JD Crapo, ... Respiratory Research 24 (1), 20, 2023 | 2 | 2023 |
| Family history of ILD predicts pulmonary function decline in IPF patients T Goos, M Vermant, LJ De Sadeleer, K Verstraete, N De Crem, ... European Respiratory Journal 60 (suppl 66), 2022 | 1 | 2022 |
| Machine learning for estimating individual treatment effects in randomized controlled trials K Verstraete, N Das, I Gyselinck, M De Vos, W Janssens European Respiratory Journal 58 (suppl 65), 2021 | 1 | 2021 |
| Applications of Machine Learning in Pulmonology: Tools for Clinical Decision Making K Verstraete | | 2024 |
| MACHINE LEARNING TO ESTIMATE INDIVIDUAL TREATMENT EFFECTS OF AZITHROMYCIN MAINTENANCE THERAPY IN COPD W Janssens, K Verstraete, I Gyselinck, H Huts, M De Vos, SM Lindberg, ... Chest 164 (4), A6525, 2023 | | 2023 |
| Heterogeneous treatment effect estimation of LABA/LAMA/ICS on COPD exacerbation risk in the IMPACT trial K Verstraete, I Gyselinck, H Huts, M De Vos, W Janssens European Respiratory Journal 62 (suppl 67), 2023 | | 2023 |
| Machine learning to differentiate pulmonary hypertension due to left heart disease from pulmonary arterial hypertension K Swinnen, K Verstraete, C Baratto, L Hardy, M De Vos, M Topalovic, ... ERJ Open Research 9 (5), 2023 | | 2023 |
| Identifying Responder Subgroups for Exacerbations Using Machine Learning in the Impact Trial K Verstraete, I Gyselinck, H Huts, M Staes, M De Vos, W Janssens A108. NEW INSIGHTS INTO CHRONIC OBSTRUCTIVE PULMONARY DISEASE, A2698-A2698, 2023 | | 2023 |
| Evolution of diffusion capacity in interstitial lung disease associated with rheumatoid arthritis M Vermant, T Goos, H Bode, LJ De Sadeleer, K Verstraete, N De Crem, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| External validation of machine learning prediction model for pulmonary hypertension due to left heart disease K Verstraete, K Swinnen, C Baratto, M De Vos, M Topalovic, G Claessen, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| Airway remodeling in COVID-19 lungs V Geudens, J Van Slambrouck, G Aerts, L Willems, T Goos, J Kaes, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| Machine learning-based individual treatment effect estimation of azithromycin on COPD exacerbations K Verstraete, I Gyselinck, M Staes, S Lindberg, R Albert, J Connett, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| Clinically applicable machine learning prediction model for pulmonary hypertension due to left heart disease K Swinnen, K Verstraete, N Das, M Topalovic, R Quarck, C Belge, ... European Respiratory Journal 58 (suppl 65), 2021 | | 2021 |
| Deep learning automates complete quality control of spirometric manoeuvre N Das, K Verstraete, M Topalovic, JM Aerts, W Janssens European Respiratory Journal 56 (suppl 64), 2020 | | 2020 |
| Airway Resistance from Clinical Spirometry: Validation with Quantitative CT in COPDGene N Das, K Verstraete, M Topalovic, JD Crapo, EK Silverman, BJ Make, ... D76. COPD: CLINICAL STUDIES, A7554-A7554, 2020 | | 2020 |
| The Link Between the Shape of Maximal Expiratory Flow-Volume Curves and CT-Based Phenotypes in COPDGene K Verstraete, N Das, JD Crapo, EK Silverman, BJ Make, EA Regan, ... D28. COPD: FROM PATHOGENESIS TO PROGNOSIS, A6423-A6423, 2020 | | 2020 |
