Browsing Publikasjoner fra CRIStin by Author "Eftestøl, Trygve Christian"

Now showing items 1-20 of 21

    • 3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI 

      Fernandez Quilez, Alvaro; Andersen, Christoffer Gabrielsen; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Oppedal, Ketil (Peer reviewed; Journal article, 2023)
      Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural ...

    • An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes 

      Rad, Ali Bahrami; Eftestøl, Trygve Christian; Irusta, Unai; Kvaløy, Jan Terje; Wik, Lars; Kramer-Johansen, Jo; Katsaggelos, Aggelos K.; Engan, Kjersti (Journal article; Peer reviewed, 2018)
      AIM: An automatic resuscitation rhythm annotator (ARA) would facilitate and enhance retrospective analysis of resuscitation data, contributing to a better understanding of the interplay between therapy and patient response. ...

    • Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions 

      Isasi, Iraia; Irusta, Unai; Rad, Ali Bahrami; Aramendi, Elisabete; Zabihi, Morteza; Eftestøl, Trygve Christian; Kramer-Johansen, Jo; Wik, Lars (Journal article; Peer reviewed, 2019-08)
      Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA) rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy on patient response. OHCA rhythms are ...

    • Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning 

      Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Kvikstad, Vebjørn; Janssen, Emiel; Tøssebro, Erlend; Lillesand, Melinda (Peer reviewed; Journal article, 2021-08)
      The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ...

    • Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris 

      Khanmohammadi, Mahdieh; Sæland, Charlotte; Engan, Kjersti; Eftestøl, Trygve Christian; Larsen, Alf Inge (Journal article; Peer reviewed, 2019-01)
      Aim: Our aim was to automatically estimate the blood velocity in coronary arteries using cine X-ray angiographic sequence. Estimating the coronary blood velocity is a key approach in investigating patients with angina ...

    • Duration of elevated heart rate Is an important predictor of exercise-induced troponin elevation 

      Bjørkavoll-Bergseth, Magnus; Kleiven, Øyunn; Auestad, Bjørn Henrik; Eftestøl, Trygve Christian; Oskal, Kay Raymond; Nygård, Martin; Skadberg, Øyvind; Aakre, Kristin Moberg; Melberg, Tor Harald; Gjesdal, Knut; Ørn, Stein (Peer reviewed; Journal article, 2020)
      Background The precise mechanisms causing cardiac troponin (cTn) increase after exercise remain to be determined. The aim of this study was to investigate the impact of heart rate (HR) on exercise‐induced cTn increase by ...

    • Factors Affecting the Course of Resuscitation From Cardiac Arrest With Pulseless Electrical Activity in Children and Adolescents 

      Skogvoll, Eirik; Nordseth, Trond; Sutton, Robert M.; Eftestøl, Trygve Christian; Irusta, Unai; Aramendi, Elisabete; Niles, Dana E.; Nadkarni, Vinay M.; Berg, Robert A.; Abella, Benjamin S.; Kvaløy, Jan Terje (Peer reviewed; Journal article, 2020)
      Background: Although in-hospital pediatric cardiac arrests and cardiopulmonary resuscitation occur >15,000/year in the US, few studies have assessed which factors affect the course of resuscitation in these patients. We ...

    • Fetal heart rate development during labour 

      Urdal, Jarle; Engan, Kjersti; Eftestøl, Trygve Christian; Haaland, Solveig H.; Kamala, Benjamin; Mdoe, Paschal Francis; Kidanto, Hussein; Ersdal, Hege (Journal article; Peer reviewed, 2021-03)
      Background Fresh stillbirths (FSB) and very early neonatal deaths (VEND) are important global challenges with 2.6 million deaths annually. The vast majority of these deaths occur in low- and low-middle income countries. ...

    • Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity 

      Norvik, Anders; Kvaløy, Jan Terje; Skjeflo, Gunnar Waage; Bergum, Daniel; Nordseth, Trond; Loennechen, Jan Pål; Unneland, Eirik; Buckler, D.G.; Bhardwaj, A.; Eftestøl, Trygve Christian; Aramendi, E.; Abella, BS.; Skogvoll, Eirik (Peer reviewed; Journal article, 2023)
      Introduction Pulseless electrical activity (PEA) is commonly observed in in-hospital cardiac arrest (IHCA). Universally available ECG characteristics such as QRS duration (QRSd) and heart rate (HR) may develop differently ...

    • Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images 

      Fuster Navarro, Saul; Khoraminia, Farbod; Kiraz, Umay; Kanwal, Neel; Kvikstad, Vebjørn; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Janssen, Emiel; Engan, Kjersti (Chapter, 2022)
      Bladder cancer patients’ stratification into risk groups relies on grade, stage and clinical factors. For non-muscle invasive bladder cancer, T1 tumours that invade the subepithelial tissue are high-risk lesions with a ...

    • Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia 

      Picon, Artzai; Irusta, Unai; Alvarez-Gila, Aitor; Aramendi, Elisabete; Alonso-Atienza, Felipe; Figuera, Carlos; Ayala, Unai; Garrote, Estibaliz; Wik, Lars; Kramer-Johansen, Jo; Eftestøl, Trygve Christian (Journal article; Peer reviewed, 2019-05)
      Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ...

    • Multimodal biosignal analysis algorithm for the classification of cardiac rhythms during resuscitation 

      Lasea, Haizea; Irusta, Unai; Eftestøl, Trygve Christian; Aramendi, Elisabete; Rad, Ali Bahrami; Kramer-Johansen, Jo; Wik, Lars (Peer reviewed; Journal article, 2020)
      Monitoring the heart rhythm during out-of-hospital cardiac arrest (OHCA) is important to improve treatment quality. OHCA rhythms fall into five categories: asystole (AS), pulseless electrical activity (PEA), pulse-generating ...

    • A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides 

      Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Janssen, Emiel; Kvikstad, Vebjørn (Peer reviewed; Journal article, 2020)
      In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological ...

    • A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest 

      Eftestøl, Trygve Christian; Stokka, Svein Erik; Kvaløy, Jan Terje; Rad, Ali Bahrami; Irusta, Unai; Aramendi, Elisabete; Alonso, Erik; Nordseth, Trond; Skogvoll, Eirik; Wik, Lars; Kramer-Johansen, Jo (Peer reviewed; Journal article, 2020)
      Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological ...

    • A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest 

      Eftestøl, Trygve Christian; Stokka, Svein Erik; Kvaløy, Jan Terje; Rad, Ali Bahrami; Irusta, Unai; Aramendi, Elisabete; Alonso, Erik; Nordseth, Trond; Skogvoll, Eirik; Wik, Lars; Kramer-Johansen, Jo (Peer reviewed; Journal article, 2020)

    • Pulseless electrical activity in in-hospital cardiac arrest – A crossroad for decisions 

      Norvik, Anders; Unneland, Eirik; Bergum, Daniel; Buckler, D.G.; Bhardwaj, A.; Eftestøl, Trygve Christian; Aramendi, E.; Nordseth, Trond; Abella, B.S.; Kvaløy, Jan Terje; Skogvoll, Eirik (Peer reviewed; Journal article, 2022)
      Background PEA is often seen during resuscitation, either as the presenting clinical state in cardiac arrest or as a secondary rhythm following transient return of spontaneous circulation (ROSC), ventricular fibrillatio ...

    • Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise 

      Svane, Jakob; Wiktorski, Tomasz; Ørn, Stein; Eftestøl, Trygve Christian (Peer reviewed; Journal article, 2023)
      In this paper, we propose the use of recurrent neural networks (RNNs) for artifact correction and analysis of heart rate variability (HRV) data. HRV can be a valuable metric for determining the function of the heart and ...

    • Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks 

      Isasi, Iraia; Irusta, Unai; Aramendi, Elisabete; Eftestøl, Trygve Christian; Kramer-Johansen, Jo; Wik, Lars (Peer reviewed; Journal article, 2020-05)
      Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design ...

    • State transition modeling of complex monitored health data 

      Schulz, Jörn; Kvaløy, Jan Terje; Engan, Kjersti; Eftestøl, Trygve Christian; Jatosh, Samwel; Hussein, Kidanto; Ersdal, Hege Langli (Peer reviewed; Journal article, 2019)
      This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set ...

    • Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images 

      Frøysa, Vidar; Berg, Gøran Jansson; Eftestøl, Trygve Christian; Woie, Leik; Ørn, Stein (Peer reviewed; Journal article, 2021-12)
      Purpose To evaluate a novel texture-based probability mapping (TPM) method for scar size estimation in LGE-CMRI. Methods This retrospective proof-of-concept study included chronic myocardial scars from 52 patients. ...