Browsing UiS Brage by Author "Eftestøl, Trygve"

Analyse av data fra gjenoppliving av hjertestanspasienter - implementasjon i Python

Walskaar, Ivar; Sajkow, Sebastin; Pierzgalski, Emil (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 -implementasjon i Python

Pierzgalski, Emil; Walskaar, Ivar; Sakow, Sebastian (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 ...

Automated Grading of Bladder Cancer using Deep Learning

Wetteland, Rune (PhD thesis UiS;, Doctoral thesis, 2022-02)

Urothelial carcinoma is the most common type of bladder cancer and is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ...

Automatic Video Analysis in Resuscitation

Meinich-Bache, Øyvind (PhD thesis UiS;, Doctoral thesis, 2020-01)

This thesis investigates possibilities for applying automatic video analysis in the medical context of resuscitation of a patient. Two situations are investigated: 1) Out-of-hospital cardiac arrest (OHCA) where there is a ...

Bruk av nevrale nettverk for avansert deteksjon av objekter under vann.

Lunde, Gaute Dirdal (Masteroppgave/UIS-TN-IDE/2009;, Master thesis, 2009-06)

SwimEye er et system for å øke sikkerheten mot drukningsulykker i basseng. Det er ønskelig å gjøre SwimEyes deteksjon enda bedre, og denne masteroppgaven kommer frem til en løsning på dette problemet ved bruk av et nevralt ...

Cardiac Arrest Sequence Analysis

Svendsen, Thomas (Master thesis, 2022)

The survival rate of out-of-hospital cardiac arrest is still low despite improvements in treatment strategies. The recent decades have brought improved technologies for data collection, and automatic annotation ...

Chest compressions: The good, the bad and the ugly

Eftestøl, Trygve (Journal article, 2012)

Where exactly is the chest compression, where does it begin, when does it end, how deep does it go and at what rate are they performed? In short – how good or bad is the chest compression? These are some of the questions ...

Classifying dementia using local binary patterns from different regions in magnetic resonance images

Oppedal, Ketil; Eftestøl, Trygve; Engan, Kjersti; Beyer, Mona K.; Aarsland, Dag (Journal article; Peer reviewed, 2015)

Dementia is an evolving challenge in society, and no disease-modifying treatment exists. Diagnosis can be demanding and MR imaging may aid as a noninvasive method to increase prediction accuracy. We explored the use of 2D ...

A Critical Look at the Evaluation of Knowledge Graph Question Answering

Linjordet, Trond (PhD thesis UiS;, Doctoral thesis, 2022-11)

The field of information retrieval (IR) is concerned with systems that “make a given stored collection of information items available to a user population” [111]. The way in which information is made available to the user ...

Data-assisted differential diagnosis of dementia by deep neural networks

Larsen, Simen Norrheim (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-29)

There are currently 50 million people suffering from dementia worldwide. With an increasing life expectancy of the elderly, this number is expected to increase drastically over the next decade. With today's diagnosis of ...

Deep learning-based probability indicator for benign change in heart rhythm Dyplæringsbasert sannsynlighetsindikator for godartet tilstandsendring

Kvamme, Halvor Neergaard (Master thesis, 2024)

Defining angular and radial positions and parameters for myocardial pixels in cardiac MR images

Engan, Kjersti; Woie, Leik; Eftestøl, Trygve (Journal article; Peer reviewed, 2014)

In this work we aimed to automatically produce a measure for the angular and radial position of all pixels within the myocardium in CMR images, left ventricle, short axis view. A reference axis is chosen in an anatomically ...

Dementia classification using deep learning and texture analysis methods on magnetic resonance images

Risanger, Rune (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)

Dementia is becoming an increasingly severe economical and socio-economical disease, as treatment is problematic, with different disease variants difficult to prevent and delay. With a rise in life expectancy, further ...

Early Detection of Alzheimer’s Disease using 3D Texture Features and 3D Convolutional Neural Networks from structural MRI

Moen, Ulrik (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)

In 2016 there was estimated that around 47 million people in the world were living with dementia, and this number were projected to increase to 131 million by 2050. Alzheimer’s disease is the most common type of dementia ...