Blar i Brage NMBU på forfatter "Tomic, Oliver"
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Fully convolutional neural network for semantic segmentation on CT scans of pigs
Pollestad, Jarand Hornseth (Master thesis, 2019)Identifying the shape and location of structures within medical images is useful for purposes such as diagnosis and research. This is a cumbersome task if done manually. Recent advances in computer vision and in particular ... -
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) -
Helse i Norge - 2016: Kommentarrapport til OECDs sammenligning av europeiske land
Saunes, Ingrid Sperre; Tomic, Oliver; Helgeland, Jon; Lindahl, Anne Karin (Research report, 2016) -
hoggorm: a python library for explorative multivariate statistics
Tomic, Oliver; Graff, Thomas; Liland, Kristian Hovde; Næs, Tormod (Peer reviewed; Journal article, 2019) -
Klassifisering og filtrering av Sentinel-3 PEACHI-returpulser ved bruk av maskinlæring
Øvland, Alf Georg (Master thesis, 2021)I denne gradsoppgaven utforskes potensialet til Sentinel-3 PEACHI-data langs Norskekysten. To filtreringsmetoder blir utprøvd for å fjerne observasjoner som forventes å gi feil avstandsmåling, hovedsakelig forårsaket av ... -
Kvalitetsindikatoren 30 dagers overlevelse etter sykehusinnleggelse. Resultater for 2015
Hansen, Tonya Moen; Kristoffersen, Doris Tove; Tomic, Oliver; Helgeland, Jon (Research report, 2016) -
Kvalitetsindikatoren 30 dagers reinnleggelse etter sykehusopphold. Resultater for sykehus og kommuner 2014
Kristoffersen, Doris Tove; Hansen, Tonya Moen; Lindman, Anja Elsrud Schou; Tomic, Oliver; Helgeland, Jon (Research report, 2016) -
Kvalitetsindikatoren 30 dagers reinnleggelse etter sykehusopphold. Resultater for sykehus og kommuner 2015
Hansen, Tonya Moen; Kristoffersen, Doris Tove; Tomic, Oliver; Helgeland, Jon (Research report, 2016) -
Kvalitetsindikatoren 30-dagers overlevelse etter innleggelse i norske sykehus – resultater for året 2014
Lindman, Anja Schou; Kristoffersen, Doris Tove; Hansen, Tonya Moen; Tomic, Oliver; Helgeland, Jon (Research report, 2015) -
Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis
Tranås, Rasmus André; Løvvik, Ole Martin; Tomic, Oliver; Berland, Kristian (Peer reviewed; Journal article, 2021)Low lattice thermal conductivity is essential for high thermoelectric performance of a material. Lattice thermal conductivity is often computed using density functional theory (DFT), typically at a high computational cost. ... -
Machine learning for detecting biomarkers of Alzheimer’s disease : data-centric approach with dynamic ensemble selection
Naqvi, Muhammad Muntazir (Master thesis, 2022)Alzheimer’s disease (AD) is a neurodegenerative disorder that progresses over time and results in gradual loss of cognitive abilities. It affects the patient to an extent that they become unable to perform daily routine ... -
Medical image representations in cancer segmentation
Granheim, Markus Ola Holte (Master thesis, 2021)Purpose Cancer is the second leading cause of death globally and was responsible for an estimated 9.6 million deaths in 2018 [1]. One of the treatments used to cure cancer is radiotherapy, where a precise delineation of ... -
Mining medical academic articles using recurrent neural networks
Radwan, Mohamed (Master thesis, 2021)In this thesis, we present our methods and results for mining the MedMentions data [Mohan and Li, 2019]. We propose a pipeline for combining mention classification and mention disambiguation. We will use the Long Short ... -
Multi block analysis of gastrointestinal neuroendocrine tumors data using response oriented sequential alternation (ROSA)
Azadi, Ghazal Gazelle (Master thesis, 2021)Gastrointestinal neuroendocrine tumors (NETs) are slow-growing tumors. In this type of cancer, survival rate is an important factor. The current study considers the number of survival days as the target variable and tries ... -
Multiblock-model analysis of multi-source Alzheimer’s disease data
Randhawa, Jora Singh (Master thesis, 2020)Alzheimer’s Disease (AD) is the most common cause of dementia in the world. It is a disorder that causes brain cells to degenerate and eventually dies, which causes a continuous decline in memory, cognitive abilities and ... -
Natural Language Processing and Topic Modeling for Exploring the Vegetarian and Vegan Trends
Olavsrud, Marius Aleksander (Master thesis, 2020)The purpose of this thesis is to examine how topic modeling can be used as a tool to explore large sets of text data. This thesis is written on assignment from Nofima Food Research Institute. A set of about 52 000 unknown ... -
Non-linear shrinking of linear model errors
Helin, Runar; Indahl, Ulf Geir; Tomic, Oliver; Liland, Kristian Hovde (Journal article; Peer reviewed, 2023) -
Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival
Jenul, Anna; Stokmo, Henning Langen; Schrunner, Stefan; Hjortland, Geir Olav; Rootwelt-Revheim, Mona-Elisabeth; Tomic, Oliver (Peer reviewed; Journal article, 2023)• We model and predict the overall survival in patients with high-grade gastroenteropancreatic neuroendocrine neoplasms. • Novel ensemble feature selectors RENT and UBayFS are assessed for predictive performance, stability, ... -
Postoperative wound dehiscence after laparotomy: a useful healthcare quality indicator? A cohort study based on Norwegian hospital administrative data
Helgeland, Jon; Tomic, Oliver; Hansen, Tonya Moen; Kristoffersen, Doris Tove; Hassani, Sahar; Lindahl, Anne Karin (Journal article; Peer reviewed, 2019) -
Predicting patient outcome using radioclinical features selected with RENT for patients with colorectal cancer
Engesæth, Lars Jetmund Svartis (Master thesis, 2022)Colorectal cancer remains a problem in medicine, costing countless lives each year. The growing amount of data available about these patients have piqued the interest of researchers, as they try to use machine learning to ...