Blar i Bergen Open Research Archive på tittel
Viser treff 2080-2099 av 34080
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Autoimmune primary adrenal insufficiency – autoantibodies and cell regeneration
(Doctoral thesis, 2024-02-02)Autoimmun primær binyrebarksvikt er en sjelden lidelse som skyldes autoimmun ødeleggelse av binyrebarken, og foreløpig finnes det ingen kurativ behandling. Her undersøkte vi to distinkte aspekter ved sykdommen, en molekylær ... -
Autoimmune Thyroid Disorders in Autoimmune Addison Disease
(Journal article; Peer reviewed, 2022)Context: Autoimmune thyroid disease is the most common endocrine co-morbidity in autoimmune Addison's disease (AAD), but detailed investigations of prevalence and clinical course is lacking. Objective: Provide comprehensive ... -
Autoimmunity and viral immunity in Addison’s disease
(Doctoral thesis, 2015-11-27)Autoimmune Addison’s disease (AAD) is caused by an immunological destruction of the steroid producing cells of the adrenal cortex. Both genetic and environmental factors are involved in disease development, and while ... -
Autologous stem cells as a promising therapeutic approach for augmentation of alveolar bone
(Doctoral thesis, 2020-08-28)The current gold standard for reconstructive bone surgery is based on autologous bone grafts. However, the risk of complications at both the donor and recipient sites is considerable. There is therefore a need to explore ... -
Automated analysis of Norwegian text
(Doctoral thesis, 2019-06-28)In this thesis we look at how we can develop automated analysis tools for Norwegian text. We look at 3 different tasks: Part-of-Speech (PoS) tagging, Named-Entity Chunking (NEC), and Named-Entity Recognition (NER). For our ... -
An automated approach for fringe frequency estimation and removal in infrared spectroscopy and hyperspectral imaging of biological samples
(Journal article; Peer reviewed, 2021)In infrared spectroscopy of thin film samples, interference introduces distortions in spectra, commonly referred to as fringes. Fringes may alter absorbance peak ratios, which hampers the spectral analysis. We have previously ... -
Automated behavioural analysis reveals the basic behavioural repertoire of the urochordate Ciona intestinalis
(Journal article; Peer reviewed, 2019-02-20)Quantitative analysis of animal behaviour in model organisms is becoming an increasingly essential approach for tackling the great challenge of understanding how activity in the brain gives rise to behaviour. Here we used ... -
Automated characterisation of Deep-sea imagery using Machine Learning: implications for future conservation and mineral extraction
(Master thesis, 2023-06-01)This thesis aimed to develop a methodology using Machine Learning (ML) techniques for the interpretation of deep-sea resources. The deep-sea hosts diverse ecosystems and valuable resources, but potential environmental ... -
Automated classification of debris-covered glaciers combining optical, SAR and topographic data in an object-based environment
(Peer reviewed; Journal article, 2015-12)Satellite imagery is increasingly used to monitor glacier area changes and create glacier inventories. Robust and efficient pixel-based band ratios have proven to be accurate for automatically delineating clean glacier ... -
Automated detection of rock glaciers using deep learning and object-based image analysis
(Journal article; Peer reviewed, 2020)Rock glaciers are an important component of the cryosphere and are one of the most visible manifestations of permafrost. While the significance of rock glacier contribution to streamflow remains uncertain, the contribution ... -
Automated Front Detection - Using computer vision and machine learning to explore a new direction in automated weather forecasting
(Master thesis, 2017-04-22)In weather forecasting, automation and computing are the driving forces of innovation. More computing power and better techniques allow for faster and more accurate weather data systems. The task of detecting fronts ... -
Automated Identification of Severe Errors in Speech to Text Transcripts
(Master thesis, 2023-06-02)In this thesis we explore how problematic misplaced words can be automatically identified in speech-to-text-transcripts. Automatic Speech Recognition systems (ASR) are systems that can automatically generate text from human ... -
Automated in Silico Design of Homogeneous Catalysts
(Peer reviewed; Journal article, 2020)Catalyst discovery is increasingly relying on computational chemistry, and many of the computational tools are currently being automated. The state of this automation and the degree to which it may contribute to speeding ... -
Automated Measurements of Whitecaps on the Ocean Surface from a Buoy-Mounted Camera
(Peer reviewed; Journal article, 2016-12)We quantify the percentage of sea surface covered by whitecaps from images taken by a non-stationary camera mounted on a moored buoy using an Adaptive Thresholding Segmentation (ATS) method and an Iterative Between Class ... -
Automated Model Conceptualization and Interactive Modeling Environment: A Software Prototype
(Master thesis, 2019-08-14)In system dynamics modeling process, modelers retrieve information from various sources to come up with a model that is able to reproduce a problematic behavior, then based on the model, policies are designed to alleviate ... -
Automated Moderation: Detecting Irony in a Norwegian Facebook Comment Section using a Longformer Transformer Model with a Context Encoded Dataset
(Master thesis, 2022-06-01)Irony is a complex phenomenon of human communication and due to its contextual nature has been notoriously difficult for machine learning algorithms to detect. With an established practical definition of irony based in the ... -
Automated Quantification and Integrative Analysis of 2D and 3D Mitochondrial Shape and Network Properties
(Peer reviewed; Journal article, 2014-07-02)Mitochondrial morphology and function are coupled in healthy cells, during pathological conditions and (adaptation to) endogenous and exogenous stress. In this sense mitochondrial shape can range from small globular ... -
Automated segmentation of endometrial cancer on MR images using deep learning
(Journal article; Peer reviewed, 2021)Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ... -
Automated spectrophotometric bicarbonate analysis in duodenal juice compared to the back titration method
(Peer reviewed; Journal article, 2016-02-03)Objectives We have recently evaluated a short endoscopic secretin test for exocrine pancreatic function. Bicarbonate concentration in duodenal juice is an important parameter in this test. Measurement of bicarbonate by ... -
Automated splitting into batches for observational biomedical studies with sequential processing
(Journal article; Peer reviewed, 2022)Experimental design usually focuses on the setting where treatments and/or other aspects of interest can be manipulated. However, in observational biomedical studies with sequential processing, the set of available samples ...