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2010 – 2019
- 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)- [c9]Kjersti Engan, Valery Naranjo, Trygve Eftestøl, Stein Ørn, Leik Woie:
Segmentation of LG Enhanced Cardiac MRI . BIOIMAGING 2015: 47-55 - [c8]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
- [c7]Kjersti Engan, Leik Woie, Trygve Eftestøl:
Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. CinC 2014: 941-944 - [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
Coauthor Index
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