Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "PLOS ONE"
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Airway segmentation and centerline extraction from thoracic CT - Comparison of a new method to state of the art commercialized methods
(Peer reviewed; Journal article, 2015)Introduction Our motivation is increased bronchoscopic diagnostic yield and optimized preparation, for navigated bronchoscopy. In navigated bronchoscopy, virtual 3D airway visualization is often used to guide a bronchoscopic ... -
A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing
(Peer reviewed; Journal article, 2023)Low-dose computed tomography (LDCT) has attracted significant attention in the domain of medical imaging due to the inherent risks of normal-dose computed tomography (NDCT) based X-ray radiations to patients. However, ... -
Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function
(Peer reviewed; Journal article, 2020)With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, ... -
Estimation of glucose rate of appearance in portal vein circulation using a phenomenological-based model
(Peer reviewed; Journal article, 2023)The joint work of the stomach and the small intestine plays a fundamental role in human digestion. In the stomach, food is turned into a semi-fluid mixture that is slowly released into the small intestine, where most ... -
The fat mass and obesity-associated (FTO) gene allele rs9939609 and glucose tolerance, hepatic and total insulin sensitivity, in adults with obesity
(Peer reviewed; Journal article, 2021)The objective of the study was to assess associations of the rs9939609 FTO allele to glucose tolerance, hepatic and total insulin sensitivity (IS) in individuals with obesity. From a low-dose hyperinsulinemic euglycemic ... -
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
(Peer reviewed; Journal article, 2023)Purpose This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods Different training strategies, loss functions, and ... -
Multifidelity computing for coupling full and reduced order models
(Peer reviewed; Journal article, 2021)Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal ... -
Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch
(Journal article; Peer reviewed, 2021)The aim of this study was to evaluate different shape descriptors applied to images of polygons that represent the organization of football teams on the pitch. The effectiveness of different shape descriptors (area/perimeter, ... -
Multiscale modelling of cage effects on the transport of effluents from open aquaculture systems
(Peer reviewed; Journal article, 2020)Most Atlantic salmon mariculture operations use open sea cages for the grow out phase. The ultimate fate and effects of the effluents and the possibilities of disease transfer between fish farms are major concerns for ... -
Overestimation of volatility in schizophrenia and autism? A comparative study using a probabilistic reasoning task
(Peer reviewed; Journal article, 2021)Background and objectives A plethora of studies has investigated and compared social cognition in autism and schizophrenia ever since both conditions were first described in conjunction more than a century ago. Recent ... -
Pathway Analysis of Skin from Psoriasis Patients after Adalimumab Treatment Reveals New Early Events in the Anti-Inflammatory Mechanism of Anti-TNF-α
(Peer reviewed; Journal article, 2016)Psoriasis is a chronic cutaneous inflammatory disease. The immunopathogenesis is a complex interplay between T cells, dendritic cells and the epidermis in which T cells and dendritic cells maintain skin inflammation. ... -
Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis
(Journal article; Peer reviewed, 2024)Objective Our goal was to review the available literature on prognostic risk prediction for incident hypertension, synthesize performance, and provide suggestions for future work on the topic. -
Reduction of depressive symptoms during inpatient treatment is not associated with changes in heart rate variability
(Journal article; Peer reviewed, 2021)Vagally mediated heart rate variability (HRV) is a psychophysiological indicator of mental and physical health. Limited research suggests there is reduced vagal activity and resulting lower HRV in patients with Major ... -
Rigid head-neck responses to unpredictable perturbations in patients with long standing neck pain does not change with treatment
(Peer reviewed; Journal article, 2020)In a previous study we have shown that patients with long standing non-specific neck-pain display more rigid neck movement behavior than controls in response to unpredictable perturbations. In the present study we investigated ... -
SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning
(Peer reviewed; Journal article, 2023)Low-resource languages are gaining much-needed attention with the advent of deep learning models and pre-trained word embedding. Though spoken by more than 230 million people worldwide, Urdu is one such low-resource language ... -
Spatiotemporal diffusion of influenza A (H1N1): Starting point and risk factors
(Journal article; Peer reviewed, 2018)Influenza constitutes a major challenge to world health authorities due to high transmissibility and the capacity to generate large epidemics. This study aimed to characterize the diffusion process of influenza A (H1N1) ... -
Teacher-student approach for lung tumor segmentation from mixed-supervised datasets
(Journal article; Peer reviewed, 2022)Purpose Cancer is among the leading causes of death in the developed world, and lung cancer is the most lethal type. Early detection is crucial for better prognosis, but can be resource intensive to achieve. Automating ... -
Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data
(Peer reviewed; Journal article, 2023)Cardiopulmonary exercise testing (CPET) is a non-invasive approach to measure the maximum oxygen uptake (), which is an index to assess cardiovascular fitness (CF). However, CPET is not available to all populations and ... -
Using machine learning pipeline to predict entry into the attack zone in football
(Peer reviewed; Journal article, 2023)Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses ... -
Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study
(Peer reviewed; Journal article, 2024)Background Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times. Objective To assess the extent of busy ambulances in Central Norway ...