Blar i UiS Brage på forfatter "Engan, Kjersti"

Segmentation of infarcted regions in Perfusion CT images by 3D deep learning

Tomasetti, Luca (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)

This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ...

Semi-Supervised Image Segmentation of Medical Data

Dalheim, Ove Nicolai (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)

Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ...

Semi-supervised tissue segmentation of histological images

Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (Peer reviewed; Journal article, 2020-09)

Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...

Signal Processing for Newborn Survival : from labour to resuscitation

Urdal, Jarle (PhD thesis UiS;, Doctoral thesis, 2020-08)

Stillbirths are a worldwide challenge, with an estimated 2.6 million stillbirths in 2015, of these 1.3 million are estimated to have died during labour and birth, i.e. fresh stillbirth. In addition to the 2.6 million, one ...

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 ...

Synaptic Vesicle Detection in Microscopy Images using Convolutional Neural Network and Compressed Sensing

Tofteberg, Simen Walmestad (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)

In response to stressful situations, the body activates its sympathetic nervous system with the sudden release of hormones. This increases the presence of adrenaline and noradrenaline which improves muscle strength and ...

Telephone CPR Instructions in Cardiac Arrest

Hognestad, Ruth (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)

This thesis focus on developing a dataset of recordings between a caller and a dispatcher from Emergency Communication Centre during situations involving cardiac arrest. It also focused on developing and implementing a ...

The localization and characterization of ischemic scars in relation to the infarct related coronary artery assessed by cardiac magnetic resonance and a novel automatic postprocessing method

Woie, Leik; Engan, Kjersti; Eftestøl, Trygve; Larsen, Alf Inge; Ørn, Stein (Journal article; Peer reviewed, 2015-09)

Aims . The correspondence between the localization and morphology of ischemic scars and the infarct related artery (IRA) by use of cardiac magnetic resonance imaging and a novel automatic postprocessing method. Methods ...