Підписатись
Nilakash Das
Nilakash Das
Laboratory of respiratory diseases and thoracic surgery, KU Leuven, Belgium
Підтверджена електронна адреса в kuleuven.be
Назва
Посилання
Посилання
Рік
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
1552019
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
1092018
Applications of artificial intelligence and machine learning in respiratory medicine
S Gonem, W Janssens, N Das, M Topalovic
Thorax 75 (8), 695-701, 2020
662020
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
592019
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
292020
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
252019
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
92023
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
82021
Artificial intelligence for pulmonary function test interpretation
M Topalovic, N Das, W Janssens
European Respiratory Journal 53 (6), 2019
82019
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
62023
Estimating airway resistance from forced expiration in spirometry
N Das, K Verstraete, M Topalovic, JM Aerts, W Janssens
Applied Sciences 9 (14), 2842, 2019
62019
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
62019
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
42023
& Janssens, W.(2019)
M Topalovic, N Das, PR Burgel, M Daenen, E Derom, C Haenebalcke
Artificial intelligence outperforms pulmonologists in the interpretation of …, 0
4
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
32022
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
32017
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
22023
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
22022
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
22021
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
12021
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