Blar i Brage NMBU på forfatter "Malinen, Eirik"
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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 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 ... -
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) -
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) -
Exploration of LET dependent effects in proton beam therapy using machine learning analysis of TL glow curves from CaSO4:Tm and LTB:Cu
Eriksen, Erling Ween (Master thesis, 2023)This thesis describes an investigation into the depth-dependent effects in proton radiation, evaluated by the use of Thermoluminescence Dosimetry (TLD) with CaSO4:Tm and LTB:Cu as target materials. Data collected on these ... -
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Søberg Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023) -
Image processing, radiomics and model selection for prediction of treatment outcome of anal cancer using CT-, PET-, and MR-sequences
Cabrol, Maria Francoise Olaug Odette H. (Master thesis, 2019)The goal of this master thesis was to predict treatment outcome of anal cancer using features extracted from medical image sequences. The medical images had beforehand been provided from and registered at the Norwegian ... -
In Quest of the Alanine R3 Radical: Multivariate EPR Spectral Analyses of X‑Irradiated Alanine in the Solid State
Jåstad, Eirik Ogner; Torheim, Turid K Gjerstad; Villeneuve, Kathleen; Kvaal, Knut; Hole, Eli Olaug; Sagstuen, Einar; Malinen, Eirik; Futsæther, Cecilia Marie (Journal article; Peer reviewed, 2017)The amino acid L-α-alanine is the most commonly used material for solidstate electron paramagnetic resonance (EPR) dosimetry, due to the formation of highly stable radicals upon irradiation, with yields proportional to the ... -
Principal component-based image segmentation: a new approach to outline in vitro cell colonies
Arous, Delmon; Schrunner, Stefan; Hanson, Ingunn; Edin, Nina Frederike Jeppesen; Malinen, Eirik (Peer reviewed; Journal article, 2022)