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Stein Ørn
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2020 – today
- 2024
- [c15]Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn:
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. CBMS 2024: 27-32 - 2020
- [j3]Aleksandra Królak
, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn:
Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. Sensors 20(21): 6372 (2020)
2010 – 2019
- 2019
- [c14]Kjell Le, Trygve Eftestøl, Kjersti Engan
, Øyunn Kleiven, Stein Ørn
:
Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. EUSIPCO 2019: 1-5 - [c13]Kjell Le, Trygve Eftestøl, Kjersti Engan
, Øyunn Kleiven, Stein Ørn
:
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. ICASSP 2019: 1274-1278 - 2018
- [j2]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): 23-32 (2018) - [c12]Kjell Le, Trygve Eftestøl, Kjersti Engan
, Øyunn Kleiven, Stein Ørn
:
Invariant Mean Electrical Axis in Electrocardiogram. CinC 2018: 1-4 - [c11]Kjell Le, Trygve Eftestøl, Kjersti Engan
, Stein Ørn
, Øyunn Kleiven:
High Frequency Noise Detection and Handling in ECG Signals. EUSIPCO 2018: 46-50 - [c10]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: 1065-1068 - 2017
- [c9]Dominika Dlugosz, Trygve Eftestøl, Stein Ørn
, Tomasz Wiktorski, Aleksandra Królak
:
The North Sea Bicycle Race ECG Project: Time-Domain Analysis. FedCSIS 2017: 1353-1356 - 2015
- [j1]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): 205-215 (2015) - [c8]Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie:
Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING 2015: 47-55 - [c7]Trygve Eftestøl, Erlend Singsaas, Kjersti Engan
, Leik Woie, Stein Ørn
:
Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. CinC 2015: 757-760 - 2014
- [c6]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: 2227-2231 - 2013
- [c5]Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie:
Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. CinC 2013: 631-634 - [c4]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: 647-650 - 2012
- [c3]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: 2586-2590 - 2011
- [c2]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: 5698-5701 - [c1]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: 65-68
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