Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Marko Topalovic

Showing results (1-10 of 25) with videos related to

Pageof 3
Sort By:
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
Materials (Basel, Switzerland)|April 13, 2019
Dealing with the Effect of Air in Fluid Structure Interaction by Coupled SPH-FEM MethodsCristiano Fragassa, Marko Topalovic, Ana Pavlovic, et al.
Thorax|May 16, 2020
Applications of artificial intelligence and machine learning in respiratory medicineSherif Gonem, Wim Janssens, Nilakash Das, et al.
Respiratory Medicine Case Reports|June 23, 2016
Unexpected improvements of lung function in chronic obstructive pulmonary diseaseMarko Topalovic, Tuur Helsen, Thierry Troosters, et al.
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.
Respirology (Carlton, Vic.)|April 17, 2015
Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV₁ /FVC ratio do not matchMarko Topalovic, Vasileios Exadaktylos, Marc Decramer, et al.
Medical & Biological Engineering & Computing|October 1, 2014
Modelling the dynamics of expiratory airflow to describe chronic obstructive pulmonary diseaseMarko Topalovic, Vasileios Exadaktylos, Marc Decramer, et al.
Respiratory Research|January 11, 2017
Non-linear parameters of specific resistance loops to characterise obstructive airways diseasesMarko Topalovic, Vasileios Exadaktylos, Thierry Troosters, et al.
Respiration; International Review of Thoracic Diseases|January 16, 2017
Automated Interpretation of Pulmonary Function Tests in Adults with Respiratory ComplaintsMarko Topalovic, Stefan Laval, Jean-Marie Aerts, et al.
Frontiers in Medicine|June 5, 2023
Predicting total lung capacity from spirometry: a machine learning approachLuka Beverin, Marko Topalovic, Armin Halilovic, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
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
Materials (Basel, Switzerland)|April 13, 2019
Dealing with the Effect of Air in Fluid Structure Interaction by Coupled SPH-FEM MethodsCristiano Fragassa, Marko Topalovic, Ana Pavlovic, et al.
Thorax|May 16, 2020
Applications of artificial intelligence and machine learning in respiratory medicineSherif Gonem, Wim Janssens, Nilakash Das, et al.
Respiratory Medicine Case Reports|June 23, 2016
Unexpected improvements of lung function in chronic obstructive pulmonary diseaseMarko Topalovic, Tuur Helsen, Thierry Troosters, et al.
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.
Respirology (Carlton, Vic.)|April 17, 2015
Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV₁ /FVC ratio do not matchMarko Topalovic, Vasileios Exadaktylos, Marc Decramer, et al.
Medical & Biological Engineering & Computing|October 1, 2014
Modelling the dynamics of expiratory airflow to describe chronic obstructive pulmonary diseaseMarko Topalovic, Vasileios Exadaktylos, Marc Decramer, et al.
Respiratory Research|January 11, 2017
Non-linear parameters of specific resistance loops to characterise obstructive airways diseasesMarko Topalovic, Vasileios Exadaktylos, Thierry Troosters, et al.
Respiration; International Review of Thoracic Diseases|January 16, 2017
Automated Interpretation of Pulmonary Function Tests in Adults with Respiratory ComplaintsMarko Topalovic, Stefan Laval, Jean-Marie Aerts, et al.
Frontiers in Medicine|June 5, 2023
Predicting total lung capacity from spirometry: a machine learning approachLuka Beverin, Marko Topalovic, Armin Halilovic, et al.
Pageof 3