| Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests M Topalovic, N Das, PR Burgel, M Daenen, E Derom, C Haenebalcke, ... European Respiratory Journal 53 (4), 2019 | 155 | 2019 |
| Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential N Das, M Topalovic, W Janssens Current opinion in pulmonary medicine 24 (2), 117-123, 2018 | 109 | 2018 |
| Applications of artificial intelligence and machine learning in respiratory medicine S Gonem, W Janssens, N Das, M Topalovic Thorax 75 (8), 695-701, 2020 | 66 | 2020 |
| Spirometric indices of early airflow impairment in individuals at risk of developing COPD: spirometry beyond FEV1/FVC D Hoesterey, N Das, W Janssens, RG Buhr, FJ Martinez, CB Cooper, ... Respiratory medicine 156, 58-68, 2019 | 59 | 2019 |
| 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 |
| Area under the forced expiratory flow-volume loop in spirometry indicates severe hyperinflation in COPD patients N Das, M Topalovic, JM Aerts, W Janssens International Journal of Chronic Obstructive Pulmonary Disease, 409-418, 2019 | 25 | 2019 |
| Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation N Das, S Happaerts, I Gyselinck, M Staes, E Derom, G Brusselle, ... European Respiratory Journal 61 (5), 2023 | 9 | 2023 |
| Identifying nanodescriptors to predict the toxicity of nanomaterials: a case study on titanium dioxide S Murugadoss, N Das, L Godderis, J Mast, PH Hoet, M Ghosh Environmental Science: Nano 8 (2), 580-590, 2021 | 8 | 2021 |
| Artificial intelligence for pulmonary function test interpretation M Topalovic, N Das, W Janssens European Respiratory Journal 53 (6), 2019 | 8 | 2019 |
| 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 |
| 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 |
| Pulmonary Function Study Investigators; Pulmonary Function Study Investigators: Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests M Topalovic, N Das, PR Burgel, M Daenen, E Derom, C Haenebalcke, ... Eur Respir J 53 (4), 1801660, 2019 | 6 | 2019 |
| Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials E Topole, S Biondaro, I Montagna, S Corre, M Corradi, S Stanojevic, ... ERJ Open Research 9 (1), 2023 | 4 | 2023 |
| ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology Assembly T Gille, P Sivapalan, G Kaltsakas, SB Kolekar, M Armstrong, R Tuffnell, ... ERJ Open Research 8 (2), 2022 | 3 | 2022 |
| Late Breaking Abstract-Applying artificial intelligence on pulmonary function tests improves the diagnostic accuracy M Topalovic, N Das, T Troosters, M Decramer, W Janssens European Respiratory Journal 50 (suppl 61), 2017 | 3 | 2017 |
| 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 |
| Pulmonologists collaborate with explainable artificial intelligence for superior interpretation of pulmonary function tests N Das, S Happaerts, AT Dinh-Xuan, E Vanderelst, C Haenebalcke, ... European Respiratory Journal 60 (suppl 66), 2022 | 2 | 2022 |
| Artificial intelligence assists in quality assessment of spirometry in clinical trials E Topole, S Biondaro, I Montagna, S Corre, K Ray, N Das, M Topalovic TP123. TP123 LUNG FUNCTION: FLOW, VOLUME, AND HETEROGENEITY, A4606-A4606, 2021 | 2 | 2021 |
| Real-world application of Spirometry Quality Control Deep-Learning Algorithm S Stanojevic, P Powell, G Hall, M Topalovic, N Das, K Ray, F Ratjen, ... European Respiratory Journal 58 (suppl 65), 2021 | 1 | 2021 |
| 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 |
