• Building detection with convolutional networks trained with transfer learning 

      Sanca, Simon; Mangafić, Alen; Oštir, Krištof (Peer reviewed; Journal article, 2021)
      Building footprint detection based on orthophotos can be used to update the building cadastre. In recent years deep learning methods using convolutional neural networks have been increasingly used around the world. We ...
    • Cognitive and MRI trajectories for prediction of Alzheimer’s disease 

      Abolpour Mofrad, Samaneh; Lundervold, Astri Johansen; Vik, Alexandra; Lundervold, Alexander Selvikvåg (Peer reviewed; Journal article, 2021)
      The concept of Mild Cognitive Impairment (MCI) is used to describe the early stages of Alzheimer’s disease (AD), and identification and treatment before further decline is an important clinical task. We selected longitudinal ...
    • Digital Game-Based Support for Learning the Phlebotomy Procedure in the Biomedical Laboratory Scientist Education 

      Frøland, Tord Hettervik; Heldal, Ilona; Braseth, Turid Aarhus; Nygård, Irene; Sjøholt, Gry; Ersvær, Elisabeth (Peer reviewed; Journal article, 2022)
      Practice-based training in education is important, expensive, and resource-demanding. Digital games can provide complementary training opportunities for practicing procedural skills and increase the value of the limited ...
    • Fire Risk Prediction Using Cloud-based Weather Data Services 

      Strand, Ruben Dobler; Stokkenes, Sindre; Kristensen, Lars Michael; Log, Torgrim (Peer reviewed; Journal article, 2021)
      Dry and cold winter seasons result in very dry indoor conditions and have historically contributed to severe fires in the high and dense representation of wooden homes in Norway. The fire in Lærdalsøyri, January 2014, is ...