Blar i UiS Brage på forfatter "Engan, Kjersti"
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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. ... -
Artifact Detection for Reliable Computational Pathology Systems using Artificial Intelligence
Kanwal, Neel (PhD thesis UiS;, Doctoral thesis, 2024)Cancer is a significant global health concern, resulting in millions of deaths worldwide each year. Cancer diagnosis is performed using histological examination of glass slides under a microscope. Thanks to digitization ... -
Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review
Khoraminia, Farbod; Fuster Navarro, Saul; Kanwal, Neel; Olislagers, Mitchell; Engan, Kjersti; Leenders, Geet J.L.H. Van; Stubbs, Andrew P; Akram, Farhan; Zuiverloon, Tahlita C.M. (Peer reviewed; Journal article, 2023)Bladder cancer (BC) diagnosis and prediction of prognosis are hindered by subjective pathological evaluation, which may cause misdiagnosis and under-/over-treatment. Computational pathology (CPATH) can identify clinical ... -
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 AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images
Tomasetti, Luca (PhD thesis UiS;, Doctoral thesis, 2023)This thesis investigates artificial intelligence (AI) methodologies to automatically delineate ischemic areas of brain Computed Tomography Perfusion (CTP) scans acquired at hospital admission in patients suspected of acute ... -
Automatic Detection of the Intersection Point Between Left and Right Ventricle in LG-CMR Images
Karlsen, Elisabeth Noss (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)Each year Myocardial Infarction affects millions of people worldwide. Approximately 66% of those experiencing a Myocardial Infarction survives, but are at a higher risk of heart related complications and another Infarction. ... -
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 ... -
Automatic segmentation of bone, skin and synovitis in ultrasound images of finger joints
Marås, Christian (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)Rheumatoid arthritis (RA) is estimated to affect between 0.3 to 1.5 % of the population. It tends to strike individuals between the ages of 35-50, which is their working age, with every third individual diagnosed with RA ... -
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 ... -
Balancing privacy and progress in artificial intelligence : Anonymization in histopathology for biomedical research and education
Kanwal, Neel; Janssen, Emiel; Engan, Kjersti (Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications;, Chapter, 2024)The advancement of biomedical research heavily relies on access to large amounts of medical data. In the case of histopathology, Whole Slide Images (WSI) and clinicopathological information are valuable for developing ... -
Cerebral vessel segmentation in contrast CT images
Myklebust, Sigurd (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)Patients with cerebral stroke symptoms are typically examined using CT scanning due to its availability and efficiency. If the stroke is suspected to be ischemic, a contrast agent is injected to increase the contrast in ... -
Chest compression rate measurement from smartphone video
Engan, Kjersti; Hinna, Thomas; Ryen, Tom; Birkenes, Tonje; Myklebust, Helge (Journal article; Peer reviewed, 2016-08)Background: Out-of-hospital cardiac arrest is a life threatening situation where the first person performing cardiopulmonary resuscitation (CPR) most often is a bystander without medical training. Some existing smartphone ... -
Classification of histological images of bladder cancer using deep learning
Wetteland, Rune (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)In Norway bladder cancer is the fourth most common cancer type among men, with an almost 70 % increase in incidence the past four decades. For women, the increase has been about 40 %. The histological images of bladder ... -
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 ... -
Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks
Nesse, Aleksander Borge (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ... -
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 ... -
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke
Tomasetti, Luca; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2023)Stroke is the second leading cause of death worldwide, and around 87 % of strokes are ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions, including dead tissue (core) and potentially ... -
Deep Learning-Driven Diagnostic and Prognostic Solutions for Histopathological Images of Bladder Cancer
Fuster Navarro, Saul (PhD thesis UiS;, Doctoral thesis, 2024)This thesis presents a comprehensive investigation into the development and application of advanced computational techniques for the extraction of crucial diagnostic and prognostic information from histological images of ... -
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 ...