Stein Ørn

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 9

Top Topics

Left Ventricular

Myocardial Infarction

Magnetic Resonance Images

Top Venues

Artif. Intell. Medicine

Publications

Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS (2024)
Aleksandra Królak, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn
Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. Sensors 20 (21) (2020)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO (2019)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP (2019)
Dominika Dlugosz, Trygve Eftestøl, Aleksandra Królak, Tomasz Wiktorski, Stein Ørn
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. J. Autom. Mob. Robotics Intell. Syst. 12 (1) (2018)
Dominika Dlugosz, Aleksandra Królak, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygård
ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. FedCSIS (2018)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Stein Ørn, Øyunn Kleiven
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO (2018)
Kjell Le, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, Stein Ørn
Invariant Mean Electrical Axis in Electrocardiogram. CinC (2018)
Dominika Dlugosz, Trygve Eftestøl, Stein Ørn, Tomasz Wiktorski, Aleksandra Królak
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS (2017)
Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING (2015)
Trygve Eftestøl, Erlend Singsaas, Kjersti Engan, Leik Woie, Stein Ørn
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC (2015)
Lasya Priya Kotu, Kjersti Engan, Reza Borhani, Aggelos K. Katsaggelos, Stein Ørn, Leik Woie, Trygve Eftestøl
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. Artif. Intell. Medicine 64 (3) (2015)
Trygve Eftestøl, Frode Måløy, Kjersti Engan, Lasya Priya Kotu, Leik Woie, Stein Ørn
A texture-based probability mapping for localisation of clinically important cardiac segments in the myocardium in cardiac magnetic resonance images from myocardial infarction patients. ICIP (2014)
Frode Måløy, Leik Woie, Trygve Eftestøl, Kjersti Engan, Stein Ørn
Measuring the Degree of Fibrosity in Myocardial Scars fromLate Gadolinium-Enhanced Cardiovascular Magnetic Resonance Images. CinC (2013)
Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. CinC (2013)
Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Leik Woie, Stein Ørn, Aggelos K. Katsaggelos
Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. EUSIPCO (2012)
Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis. EMBC (2011)
Lasya Priya Kotu, Kjersti Engan, Trygve Eftestøl, Stein Ørn, Leik Woie
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries. ICIP (2011)