• 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. ...
    • Analyse av data fra gjenoppliving av hjertestanspasienter - implementasjon i Python. 

      Pierzgalski, Emil; Sakow, Sebastian; Walskaar, Ivar (Bachelor thesis, 2021)
      I årrekker har det blitt utført forskning på hjertestanspasienter der livreddere under vanskelige forhold prøver gjenopplivning ved hjelp av hjerte-og lungeredning (HLR), defibrillator og intravenøse legemidler. Gjenopplivningen ...
    • Analyse av data fra gjenoppliving av hjertestanspasienter - implementering i Python 

      Endresen, Morten; Nilsen, Johnny Leo; Stangeland, Vetle (Bachelor thesis, 2023)
      Denne bacheloroppgaven går ut på å oversette en del av en allerede utvik- let programvare for retrospektiv analyse av gjenopplivningsdata. Rapporten skal reflektere hvordan oppgaven er løst, hvilke utfordringer som oppsto ...
    • Analyse av data fra gjenoppliving av hjertestanspasienter - implementering i Python 

      Endresen, Morten; Nilsen, Johnny Leo; Stangeland, Vetle (Bachelor thesis, 2023)
      Denne bacheloroppgaven går ut på å oversette en del av en allerede utviklet programvare for retrospektiv analyse av gjenopplivningsdata. Rapporten skal reflektere hvordan oppgaven er løst, hvilke utfordringer som oppsto ...
    • Analysis of ECG from resuscitation of asphyxial neonates 

      Kleiveland-Hanssen, Erlend (Master thesis, 2022)
      Aim: Due to a high mortality rate for neonates with asphyxia in low resource countries, studies like this emerge in hope to make a difference. Electrocardiogram (ECG) data is used in this project to examine and analyze the ...
    • 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 ...
    • Biometric Authentication from ECG Signals on Wearable Devices 

      Bottenvik, Vebjørn Kaldahl (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
      Biometric authentication is currently being used for numerous devices; such as mobile phones, computers, etc. However, for now, the only authentication methods for wearable devices are those of passwords and pin codes. The ...
    • Digital Waste Management - detection technology 

      Holmesland, Christoffer René Haaland (Master thesis, 2021)
      In this thesis, the goal has been to improve the data flow from the garbage trucks in Halden municipality. We begin by designing, building, and installing a data capture unit to collect images of the collected waste. Machine ...
    • 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 ...
    • ECG Analysis of Neonatal Asphyxia 

      Svensson, Silja Haram (Master thesis, 2022)
      Birth asphyxia is one of the primary causes of neonatal death. It refers to the lack of oxygen in the gas exchange to the fetus or the blood flow of the neonate before, during, or after birth. Most of these deaths occur ...
    • 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. ...
    • 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 ...
    • Klassifisering av histologiske bilder av tykk- og endetarmskreft ved hjelp av dyp læring 

      Hognestad, Mari Amdalsrød (Master thesis, 2023)
      MSc-prosjekt innen biomedisinsk bildeanalyse av histologiske bilder av tykk- og endetarmskreft i samarbeid med Stavanger Universitetssykehus (SUS). Tykk- og endetarmskreft er en av de vanligste kreftformene i Norge og ...
    • 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 ...