Stein Ørn

According to our database, Stein Ørn authored at least 17 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification.

Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2020

Artifact Correction in Short-Term HRV during Strenuous Physical Exercise.

Aleksandra Królak, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn

Sensors, 2020

2019

Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.

Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn

Proceedings of the IEEE International Conference on Acoustics, 2019

Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering.

Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn

Proceedings of the 27th European Signal Processing Conference, 2019

2018

ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014.

Dominika Dlugosz, Aleksandra Królak, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygård

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

High Frequency Noise Detection and Handling in ECG Signals.

Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven

Proceedings of the 26th European Signal Processing Conference, 2018

Invariant Mean Electrical Axis in Electrocardiogram.

Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn

Proceedings of the Computing in Cardiology, 2018

2017

The North Sea Bicycle Race ECG Project: Time-Domain Analysis.

Dominika Dlugosz, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Aleksandra Królak

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2015

Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients.

Lasya Priya Kotu, Kjersti Engan, Reza Borhani, Aggelos K. Katsaggelos, Stein Ørn, Leik Woie, Trygve Eftestøl

Artif. Intell. Medicine, 2015

Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction.

Trygve Eftestøl, Erlend Singsaas, Kjersti Engan, Leik Woie, Stein Ørn

Proceedings of the Computing in Cardiology, 2015

Segmentation of LG Enhanced Cardiac MRI .

Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie

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.

Trygve Eftestøl, Frode Måløy, Kjersti Engan, Lasya Priya Kotu, Leik Woie, Stein Ørn

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.

Frode Måløy, Leik Woie, Trygve Eftestøl, Kjersti Engan, Stein Ørn

Proceedings of the Computing in Cardiology, 2013

Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images.

Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie

Proceedings of the Computing in Cardiology, 2013

2012

Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups.

Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Leik Woie, Stein Ørn, Aggelos K. Katsaggelos

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries.

Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie

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.

Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011