• The Big Bang of Deep Learning in Ultrasound-Guided Surgery: A Review 

      Masoumi, Nima; Rivaz, Hassan; Hacihaliloglu, Ilker; Ahmad, M. Omair; Reinertsen, Ingerid Reime; Xiao, Yiming (Peer reviewed; Journal article, 2023)
      Ultrasound (US) imaging is a paramount modality in many image-guided surgeries and percutaneous interventions, thanks to its high portability, temporal resolution, and cost-efficiency. However, due to its imaging principles, ...
    • Primary Porcine Brain Endothelial Cells as In Vitro Model to Study Effects of Ultrasound and Microbubbles on Blood-Brain Barrier Function 

      Lelu, Sylvie; Afadzi, Mercy; Berg, Sigrid; Åslund, Andreas; Torp, Sverre Helge; Sattler, Wolfgang; Davies, Ruth Catharina de Lange (Journal article; Peer reviewed, 2017)
      Focused ultrasound (FUS) in the presence of microbubbles transiently and reversibly opens the blood-brain barrier (BBB) in rodents and humans, thereby providing a time window for increased drug delivery into brain tissue. ...
    • Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning 

      Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Melichova, Daniela; Nguyen, Thuy Mi; Haugaa, Kristina; Brunvand, Harald; Edvardsen, Thor; Leclerc, Sarah; Bernard, Olivier; Grenne, Bjørnar; Løvstakken, Lasse (Peer reviewed; Journal article, 2020)
      Volume and ejection fraction (EF) measurements of the left ventricle (LV) in 2-D echocardiography are associated with a high uncertainty not only due to interobserver variability of the manual measurement, but also due to ...