Browsing Brage NMBU by Author "Futsæther, Cecilia Marie"
Now showing items 1-20 of 41
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Applications of deep learning for medical data analysis
Huynh, Bao Ngoc (PhD Thesis;2024:58, Doctoral thesis, 2024)In healthcare, deep learning shows high potential for critical, time-consuming tasks such as image classification and auto-segmentation. In addition, predictive models using patient data can forecast treatment outcomes for ... -
Assessment of a diagnostic program for autodelineation of head and neck cancer based on PET/CT images
Mulstad, Martine (Master thesis, 2017)Delineation of tumors and cancerous lymph nodes in medical imaging is a challenging, time-consuming and complex part of radiotherapy planning. A program for autodelineation of cervical cancer from MRI data was investigated ... -
Assessment of machine learning methods for automatic tumor segmentation
Grøndahl, Aurora Rosvoll (PhD Thesis;2023:12, Doctoral thesis, 2023)The definition of target volumes and organs at risk (OARs) is a critical part of radiotherapy planning. In routine practice, this is typically done manually by clinical experts who contour the structures in medical images ... -
Automated volumetric delineation of cancer tumors on PET/CT images using 3D convolutional neural network (V-Net)
Mirza, Afreen (Master thesis, 2020)The process of delineation of tumors and malignant lymph nodes using medical images is a fundamental part of radiotherapy planning. Still, this process is done manually by radiologists. This process is time-consuming and ... -
Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning
Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Tomic, Oliver; Søvik, Åste; Dale, Einar; Malinen, Eirik; Skogmo, Hege Kippenes; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023) -
Automatisk segmentering av hode- og halskreft i PET/CT-bilder ved bruk av konvolusjonsnettverk
Krogstie, Sofie Roko (Master thesis, 2021)Nøyaktig inntegning av kreftsvulster blir ansett som det svakeste leddet i planleggingen av strålebehandling, både fordi det er en tidskrevende oppgave, men også grunnet inter- og intravariabilitet. En nøyaktig inntegning ... -
Converting the Iranian heavy water reactor IR-40 to a more proliferation-resistant reactor
Willig, Thomas Mo; Futsæther, Cecilia Marie; Kippe, Halvor (Journal article; Peer reviewed, 2012) -
Data- and expert-driven feature selection for predictive models in healthcare : towards increased interpretability in underdetermined machine learning problems
Jenul, Anna Selina (PhD Thesis;2023:34, Doctoral thesis, 2023)Modern data acquisition techniques in healthcare generate large collections of data from multiple sources, such as novel diagnosis and treatment methodologies. Some concrete examples are electronic healthcare record systems, ... -
Daylength influences the response of three clover species (Trifolium spp.) to short-term ozone stress
Futsæther, Cecilia Marie; Vollsnes, Ane Victoria; Kruse, Ole Mathis Opstad; Indahl, Ulf Geir; Kvaal, Knut; Eriksen, Aud Else Berglen (Journal article; Peer reviewed, 2014)Long photoperiods characteristic of summers at high latitudes can increase ozone-induced foliar injury in subterranean clover (Trifolium subterraneum) This study compared the effects of long photoperiods on ozone injury ... -
Deep learning for automatic delineation of tumours from PET/CT images
Moe, Yngve Mardal (Master thesis, 2019)Purpose: The delineation of tumours and malignant lymph nodes in medical images is an essential part of radiotherapy. However, it is both time-consuming and prone to inter-observer variability. Automating this process is ... -
Deep learning for automatic tumor delineation of anal cancer based on MRI, PET and CT images
Kaushal, Christine Kiran (Master thesis, 2019)Presis inntegning av tumorer ansees som det svakeste leddet og den største kilden til usikkerhet ved planlegging av strålebehandling. Formålet med denne avhandlingen er å utforske mulighetene for automatisk inntegning av ... -
Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients
Moe, Yngve Mardal; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2021) -
Development of a user-friendly radiomics framework
Albuni, Ahmed (Master thesis, 2020)The goal of this thesis is to implement an easy to use, user-friendly application to help researchers in the field of radiomics and image processing to extract radiomics features. The application also includes an easy way ... -
Diagnosing patients with Major Depressive Disorder using radiomics features extracted from MR scans of the brain
Tukun, Kristin (Master thesis, 2021)The main aim of this study was to diagnose patients with major depressive disorder (MDD) using structural T1 weighted images of the brain. The images originate from the DELHI study conducted in the Netherlands ... -
The effect of Losartan treatment assessed using magnetic resonance imaging of human tumour xenografts
Grønningsæter, Simen Rykkje (Master thesis, 2019)This study investigates the possibility of using the angiotensin-II-receptor-blocker (ARB) Losartan to increase oxygenation in tumours. Reduced blood flow in tumours restricts the delivery of oxygen, nutrients and ... -
The effects of methylphenidate on brain structures of ADHD-diagnosed children : explorative analyses using radiomic features
Grünbeck, Inger Annett (Master thesis, 2020)The main objective of this thesis was to examine whether the treatment of ADHD-diagnosed male children using methylphenidate-based medication (MPH) caused changes to selected subcortical brain structures. The effects of ... -
Effekt av dataaugmentering på dyp læring-basert segmentering av hode- og halskreft i PET/CT-bilder
Ødegaard, Maria (Master thesis, 2021)Inntegning av tumorvolum i hode- og halsområdet er en tidkrevende utfordring, utsatt for intra- og intervariabiliteter, samt feilinntegninger, som kan gi store konsekvenser for behandlingsutfallet til den enkelte pasient. ... -
Eksplorativ analyse av EPR-spektre av alanin og Gorilla® Glass
Jåstad, Eirik Ogner (Master thesis, 2016-08-17)Elektron Paramagnetisk Resonans (EPR) spektroskopi er en måleteknikk som tar opp spektre som kan brukes til å estimere absorbert stråledose, såkalt EPR-dosimetri. EPR-dosimetri måler mengden frie radikaler i et materiale, ... -
Eksplorativ analyse av PET/CT-bilder av hode/hals-kreft med fokus på prediksjon av behandlingsutfall og HPV-status
Kvandal, Kari Helena (Master thesis, 2017)I denne oppgaven undersøkes et datasett bestående av informasjon om 213 anonymiserte pasienter behandlet ved Oslo Universitetssykehus i perioden 2007 til 2014. Alle pasientene har blitt diagnostisert med kreft i ... -
Establishment of confocal microscopy method for detecting double-strand breaks (DSBs) in DNA after radiation
Tina, Sørvik (Master thesis, 2020)Cancer is classified as a pandemic, causing more than 9 million deaths per year. Cancer treatment requires insights into cellular responses to radiation and repair mechanisms of damage. It is much interested in quantifying ...