Nilakash Das
Leuven, VLG, Belgium
Last Updated: 09/26/2026
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Found 12 publications
Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation.
Journal: The European respiratory journal
Published: September 13, 2022
Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD.
Journal: Respiratory research
Published: June 16, 2022
ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology Assembly.
Journal: ERJ open research
Published: December 23, 2021
Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria.
Journal: The European respiratory journal
Published: March 09, 2020
Applications of artificial intelligence and machine learning in respiratory medicine.
Journal: Thorax
Published: January 14, 2020
Artificial intelligence for pulmonary function test interpretation.
Journal: The European respiratory journal
Published: April 18, 2019
Area under the forced expiratory flow-volume loop in spirometry indicates severe hyperinflation in COPD patients.
Journal: International journal of chronic obstructive pulmonary disease
Published: March 14, 2019
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests.
Journal: The European respiratory journal
Published: August 30, 2018
Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.
Journal: Current opinion in pulmonary medicine
Published: December 19, 2017
Showing 1-12 of 12
Last Updated: 09/26/2026