SINTEF Digital: Recent submissions

Now showing items 901-920 of 2523

    • Meningioma Segmentation in T1-Weighted MRI Leveraging Global Context and Attention Mechanisms 

      Bouget, David Nicolas Jean-Marie; Pedersen, André; Hosainey, Sayied Abdol Mohieb; Solheim, Ole; Reinertsen, Ingerid (Peer reviewed; Journal article, 2021)
      Purpose: Meningiomas are the most common type of primary brain tumor, accounting for ~30% of all brain tumors. A substantial number of these tumors are never surgically removed but rather monitored over time. Automatic and ...

    • The Tick Formulation for deadlock detection and avoidance in railways traffic control 

      Dal Sasso, Veronica; Lamorgese, Leonardo; Mannino, Carlo; Onofri, Andrea; Ventura, Paolo (Peer reviewed; Journal article, 2021)
      Wrong dispatching decisions may lead to deadlocks, where trains reciprocally block resources necessary to reach their destinations. It is crucial to develop tools to detect such potential deadlocks on time, in order to ...

    • Blood pressure altering method affects correlation with pulse arrival time 

      Heimark, Sondre; Rindal, Ole Marius Hoel; Seeberg, Trine Margrethe; Stepanov, Alexey; Boysen, Elin Sundby; Bøtker-Rasmussen, Kasper; Knudsen Mobæk, Nina; Søraas, Camilla Lund; Stenehjem, Aud Eldrid; Fadl El Mula, Fadl El Mula Mohamed; Waldum-Grevbo, Bård (Peer reviewed; Journal article, 2021)
      Objective: Pulse arrival time (PAT) is a potential main feature in cuff-less blood pressure (BP) monitoring. However, the precise relationship between BP parameters and PAT under varying conditions lacks a complete ...

    • Anomaly Detection with Unknown Anomalies: Application to Maritime Machinery 

      Michalowska, Katarzyna; Riemer-Sørensen, Signe; Sterud, Camilla; Hjellset, Ole Magnus (Peer reviewed; Journal article, 2021)
      We present a framework for deriving anomaly detection algorithms on timeseries data when the time and expression of anomalous behaviour is unknown. The framework is suited for problems in which individual machine learning ...

    • Negotiating the value of "corporations’ capital" in Norwegian Early Childhood Education and Care provision 

      Haugset, Anne Sigrid (Peer reviewed; Journal article, 2021)
      In this article I investigate how corporate Early Childhood Education and Care (ECEC) providers negotiate their position by contributing to a national ECEC policy development process. I discuss how their political engagement ...

    • Micro-lensed negative-curvature fibre probe for raman spectroscopy 

      Milenko, Karolina Barbara; Yerolatsitis, Stephanos; Aksnes, Astrid; Hjelme, Dag Roar; Stone, James M. (Peer reviewed; Journal article, 2021)
      We developed a novel miniature micro-lensed fibre probe for Raman spectroscopy. The fibre probe consists of a single negative-curvature fibre (NCF) and a spliced, cleaved, micro-lensed fibre cap. Using a single NCF, we ...

    • Truth or Dare? – How can we Influence the Adoption of Artificial Intelligence in Municipalities? 

      Schaefer, Cindy; Lemmer, Kristina; Kret, Samy; Ylinen, Maija; Mikalef, Patrick; Niehaves, Bjoern (Peer reviewed; Journal article, 2021)
      Artificial intelligence (AI) is becoming an increasingly important factor of everyday life. The progress of AI adoption continues to accelerate with increasing investments in AI techniques and applications worldwide. ...

    • Three-Dimensional Numerical Simulation of Multiscale Fractures and Multiphase Flow in Heterogeneous Unconventional Reservoirs with Coupled Fractal Characteristics 

      Li, Hong; Yu, Haiyang; Cao, Nai; Cheng, Shiqing; Tian, He; Di, Shiying (Peer reviewed; Journal article, 2021)
      A simulated reservoir model, based on the permeability fractal model and three-dimensional (3D) Gaussian filter, was established to account for in-layer and interlayer heterogeneity so that the result conforms to the law ...

    • Violent Infant Surrogate Shaking: Continuous High-Magnitude Centripetal Force and Abrupt Shift in Tangential Acceleration May Explain High Risk of Subdural Hemorrhage 

      Stray-Pedersen, Arne; Strisland, Frode; Rognum, Torleiv Ole; Hubertus Schiks, Luuk Antoon; Loeve, Arjo J. (Peer reviewed; Journal article, 2021)
      Violent shaking is believed to be a common mechanism of injury in pediatric abusive head trauma. Typical intracranial injuries include subdural and retinal hemorrhages. Using a laboratory surrogate model we conducted ...

    • PSO and Kalman Filter-Based Node Motion Prediction for Data Collection from Ocean Wireless Sensors Network with UAV 

      Ho, Tu Dac; Grøtli, Esten Ingar; Johansen, Tor Arne (Peer reviewed; Journal article, 2021)
      In this paper, we consider a wireless sensor network of nodes at the sea surface drifting due to wind and sea currents. In our scenario an Unmanned Aerial Vehicle (UAV) will be used to gather data from the sensor nodes. ...

    • Silicon 3D Microdosimeters for Advanced Quality Assurance in Particle Therapy 

      Tran, Linh T.; David, Bolst; James, Benjamin; Pan, Vladimir M.; Vohradsky, James; Peracchi, Stefania; Chartier, Lachlan; Debrot, Emily; Gautelli, Susanna; Petasecca, Marco; Lerch, Michael L.F.; Prokopovich, Dale A.; Pastuovic, Zeljko; Povoli, Marco; Kok, Angela; Inaniwa, Taku; Lee, Sung Hyun; Matsufuji, Naruhiro; Rosenfeld, Anatoly B. (Peer reviewed; Journal article, 2021)
      The Centre for Medical Radiation Physics introduced the concept of Silicon On Insulator (SOI) microdosimeters with 3-Dimensional (3D) cylindrical sensitive volumes (SVs) mimicking the dimensions of cells in an array. Several ...

    • Cybersecurity awareness for children: A systematic literature review 

      Quayyum, Farzana; Cruzes, Daniela Soares; Jaccheri, Maria Letizia (Peer reviewed; Journal article, 2021)
      Cybersecurity for children has received much attention and has become a rapidly growing topic due to the increased availability of the internet to children and their consequent exposure to various online risks. This paper ...

    • 3D Basin-Scale Groundwater Flow Modeling as a Tool for Geothermal Exploration: Application to the Geneva Basin, Switzerland-France 

      Alcanié, Marion; Collignon, Marine; Møyner, Olav; Lupi, Matteo (Peer reviewed; Journal article, 2021)
      Switzerland promotes the energy transition by supporting the development of geothermal energy. We built a 3D basin-scale fluid flow model of the Geneva Basin, France-Switzerland, using the open-source Matlab Reservoir ...

    • Dynamic piezoelectric MEMS-based optical metasurfaces 

      Meng, Chao; Thrane, Paul Conrad Vaagen; Ding, Fei; Gjessing, Jo; Thomaschewski, Martin; Wu, Cuo; Dirdal, Christopher Andrew; Bozhevolnyi, Sergey (Peer reviewed; Journal article, 2021)
      Optical metasurfaces (OMSs) have shown unprecedented capabilities for versatile wavefront manipulations at the subwavelength scale. However, most well-established OMSs are static, featuring well-defined optical responses ...

    • Electrochemically driven degradation of chemical solution deposited ferroelectric thin-films in humid ambient 

      Dahl-Hansen, Runar Plunnecke; Polfus, Jonathan Marc; Vøllestad, Einar; Akkopru-Akgun, Betul; Denis, Lyndsey; Coleman, Kathleen; Tyholdt, Frode; Trolier-Mckinstry, Susan E; Tybell, Per Thomas Martin (Peer reviewed; Journal article, 2020)
      The ambient humidity significantly accelerates the degradation of lead zirconate titanate (PZT) films in microelectromechanical systems; the cause of such degradation is under debate. Here, it is shown that the degradation ...

    • A computer tool for optimisation and simulation of marine operations for offshore wind farm installation 

      Halvorsen-Weare, Elin Espeland; Fonn, Eivind; Johannessen, Kjetil Andre; Kisialiou, Yauheni; Nonås, Lars Magne; Rialland, Agathe Isabelle; Thun, Kristian (Peer reviewed; Journal article, 2021)
      The installation process of offshore wind farms is complex and requires a high level of coordination, agile scheduling and systematic methods. High risks and costs are involved and especially weather conditions have an ...

    • Myocardial Function Imaging in Echocardiography Using Deep Learning 

      Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Nguyen, Thuy Mi; Melichova, Daniela; Brunvand, Harald; Haugaa, Kristina; Edvardsen, Thor; Grenne, Bjørnar; Løvstakken, Lasse (Peer reviewed; Journal article, 2021)
      Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic value than conventional anatomical measures such as ejection fraction. However, despite clinical availability and demonstrated ...

    • 6D pose estimation for subsea intervention in turbid waters 

      Mohammed, Ahmed; Kvam, Johannes; Thielemann, Jens T; Haugholt, Karl H.; Risholm, Petter (Peer reviewed; Journal article, 2021)
      Manipulation tasks on subsea instalments require extremely precise detection and localization of objects of interest. This problem is referred to as “pose estimation”. In this work, we present a framework for detecting and ...

    • Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations 

      Kommers, Ivar; Bouget, David Nicolas Jean-Marie; Pedersen, André; Eijgelaar, Roelant; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Nibali, Marco Conti; Furtner, Julia; Fyllingen, Even Hovig; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Kloet, Alfred; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre; Rossi, Marco; Sagberg, Lisa Millgård; Sciortino, Tommaso; van den Brink, Wimar A.; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Reinertsen, Ingerid; Solheim, Ole; De Witt Hamer, Philip C. (Peer reviewed; Journal article, 2021)
      Treatment decisions for patients with presumed glioblastoma are based on tumor characteristics available from a preoperative MR scan. Tumor characteristics, including volume, location, and resectability, are often estimated ...

    • Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task 

      Bouget, David Nicolas Jean-Marie; Eijgelaar, Roelant; Pedersen, André; Kommers, Ivar; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Nibali, Marco Conti; Furtner, Julia; Fyllingen, Even Hovig; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Kloet, Alfred; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre; Rossi, Marco; Sagberg, Lisa Millgård; Sciortino, Tommaso; van den Brink, Wimar A.; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Reinertsen, Ingerid; Hamer, Philip C De Witt; Solheim, Ole (Peer reviewed; Journal article, 2021)
      For patients with presumed glioblastoma, essential tumor characteristics are determined from preoperative MR images to optimize the treatment strategy. This procedure is time-consuming and subjective, if performed by crude ...