Stein Ørn
Orcid: 0000-0002-5098-4592
According to our database1,
Stein Ørn
authored at least 17 papers
between 2011 and 2024.
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Bibliography
2024
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2020
Sensors, 2020
2019
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
J. Autom. Mob. Robotics Intell. Syst., 2018
ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the Computing in Cardiology, 2018
2015
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients.
Artif. Intell. Medicine, 2015
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction.
Proceedings of the Computing in Cardiology, 2015
Segmentation of LG Enhanced Cardiac MRI .
Proceedings of the BIOIMAGING 2015, 2015
2014
A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images.
Proceedings of the Computing in Cardiology, 2013
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images.
Proceedings of the Computing in Cardiology, 2013
2012
Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011