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Marko Topalovic
Marko Topalovic
Researcher, KU Leuven & ArtiQ
Verificeret mail på artiq.eu - Startside
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Inspiratory muscle training reduces diaphragm activation and dyspnea during exercise in COPD
D Langer, C Ciavaglia, A Faisal, KA Webb, JA Neder, R Gosselink, ...
Journal of applied physiology 125 (2), 381-392, 2018
1722018
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
1542019
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
1082018
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
Automated interpretation of pulmonary function tests in adults with respiratory complaints
M Topalovic, S Laval, JM Aerts, T Troosters, M Decramer, W Janssens, ...
Respiration 93 (3), 170-178, 2017
552017
Inspiratory muscle training improves breathing pattern during exercise in COPD patients
N Charususin, R Gosselink, A McConnell, H Demeyer, M Topalovic, ...
European Respiratory Journal 47 (4), 1261-1264, 2016
522016
Airways resistance and specific conductance for the diagnosis of obstructive airways diseases
M Topalovic, E Derom, CR Osadnik, T Troosters, M Decramer, ...
Respiratory research 16, 1-8, 2015
502015
Computer quantification of airway collapse on forced expiration to predict the presence of emphysema
M Topalovic, V Exadaktylos, A Peeters, J Coolen, W Dewever, ...
Respiratory research 14, 1-9, 2013
352013
Computer quantification of airway collapse on forced expiration to predict the presence of emphysema
M Topalovic, V Exadaktylos, A Peeters, J Coolen, W Dewever, ...
Respiratory research 14, 1-9, 2013
352013
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
Numerical simulation of isolation of cancer cells in a microfluidic chip
T Djukic, M Topalovic, N Filipovic
Journal of Micromechanics and Microengineering 25 (8), 084012, 2015
182015
Modelling the dynamics of expiratory airflow to describe chronic obstructive pulmonary disease
M Topalovic, V Exadaktylos, M Decramer, T Troosters, D Berckmans, ...
Medical & biological engineering & computing 52, 997-1006, 2014
162014
Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV1/FVC ratio do not match
M Topalovic, V Exadaktylos, M Decramer, D Berckmans, T Troosters, ...
Respirology 20 (6), 925-931, 2015
152015
Non-linear parameters of specific resistance loops to characterise obstructive airways diseases
M Topalovic, V Exadaktylos, T Troosters, G Celis, JM Aerts, W Janssens
Respiratory Research 18, 1-9, 2017
132017
Online monitoring of swimmer training using a 3d accelerometer-identifying swimming and swimming style
M Topalovic, S Eyers, V Exadaktylos, J Olbrecht, D Berckmans, JM Aerts
Proceedings of the 2nd International Congress on Sports Sciences Research …, 2014
112014
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
Artificial intelligence for pulmonary function test interpretation
M Topalovic, N Das, W Janssens
European Respiratory Journal 53 (6), 2019
82019
Unexpected improvements of lung function in chronic obstructive pulmonary disease
M Topalovic, T Helsen, T Troosters, W Janssens
Respiratory Medicine Case Reports 18, 81-84, 2016
72016
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
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