• Designing Serious Games for Cyber Ranges: A Socio-technical Approach 

      Kianpour, Mazaher; Kowalski, Stewart James; Zoto, Erjon; Frantz, Christopher; Øverby, Harald (Chapter, 2019)
      Appropriate training is an effective solution to tackle the evolving threat landscape and conflicts in the cyber domain and to fulfill security requirements. Serious games demonstrate pedagogic effectiveness in this field, ...
    • Left-Ventricular Volume Estimation in Contrast-Enhanced Echocardiography Using Deep Learning 

      Hu, Jieyu; Smistad, Erik; Grenne, Bjørnar Leangen; Holte, Espen; Dalen, Håvard; Løvstakken, Lasse (Chapter, 2023)
      Accurate estimation of left ventricular (LV) volume is important for the diagnosis and management of cardiac disease. Contrast-enhanced ultrasound (CEUS) helps improve the visualization of the endocardial borders and is ...
    • Predicting In-Hospital Death from Derived EHR Trajectory Features 

      Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Damås, Jan Kristian; Nytrø, Øystein (Chapter, 2024)
      Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective ...