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Nilakash Das

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Current Opinion in Pulmonary Medicine|December 19, 2017
Artificial intelligence in diagnosis of obstructive lung disease: current status and future potentialNilakash Das, Marko Topalovic, Wim Janssens
International Journal of Chronic Obstructive Pulmonary Disease|March 14, 2019
Area under the forced expiratory flow-volume loop in spirometry indicates severe hyperinflation in COPD patientsNilakash Das, Marko Topalovic, Jean-Marie Aerts, et al.
Thorax|May 16, 2020
Applications of artificial intelligence and machine learning in respiratory medicineSherif Gonem, Wim Janssens, Nilakash Das, et al.
The European Respiratory Journal|June 13, 2020
Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteriaNilakash Das, Kenneth Verstraete, Sanja Stanojevic, et al.
Thorax|April 3, 2023
Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trialsKenneth Verstraete, Iwein Gyselinck, Helene Huts, et al.
Respiratory Medicine|August 23, 2019
Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV<sub>1</sub>/FVCDaniel Hoesterey, Nilakash Das, Wim Janssens, et al.
ERJ Open Research|February 13, 2023
Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trialsEva Topole, Sonia Biondaro, Isabella Montagna, et al.
Respiratory Research|January 19, 2023
Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPDKenneth Verstraete, Nilakash Das, Iwein Gyselinck, et al.
The European Respiratory Journal|February 16, 2019
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function testsMarko Topalovic, Nilakash Das, Pierre-Régis Burgel, et al.
ERJ Open Research|May 26, 2022
ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology AssemblyThomas Gille, Pradeesh Sivapalan, Georgios Kaltsakas, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Current Opinion in Pulmonary Medicine|December 19, 2017
Artificial intelligence in diagnosis of obstructive lung disease: current status and future potentialNilakash Das, Marko Topalovic, Wim Janssens
International Journal of Chronic Obstructive Pulmonary Disease|March 14, 2019
Area under the forced expiratory flow-volume loop in spirometry indicates severe hyperinflation in COPD patientsNilakash Das, Marko Topalovic, Jean-Marie Aerts, et al.
Thorax|May 16, 2020
Applications of artificial intelligence and machine learning in respiratory medicineSherif Gonem, Wim Janssens, Nilakash Das, et al.
The European Respiratory Journal|June 13, 2020
Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteriaNilakash Das, Kenneth Verstraete, Sanja Stanojevic, et al.
Thorax|April 3, 2023
Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trialsKenneth Verstraete, Iwein Gyselinck, Helene Huts, et al.
Respiratory Medicine|August 23, 2019
Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV<sub>1</sub>/FVCDaniel Hoesterey, Nilakash Das, Wim Janssens, et al.
ERJ Open Research|February 13, 2023
Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trialsEva Topole, Sonia Biondaro, Isabella Montagna, et al.
Respiratory Research|January 19, 2023
Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPDKenneth Verstraete, Nilakash Das, Iwein Gyselinck, et al.
The European Respiratory Journal|February 16, 2019
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function testsMarko Topalovic, Nilakash Das, Pierre-Régis Burgel, et al.
ERJ Open Research|May 26, 2022
ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology AssemblyThomas Gille, Pradeesh Sivapalan, Georgios Kaltsakas, et al.
Pageof 2