• The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study 

      Mårtensson, Gustav; Ferreira, Daniel; Granberg, Tobias; Cavallin, Lena; Oppedal, Ketil; Padovani, Alessandro; Rektorova, Irena; Bonanni, Laura (Peer reviewed; Journal article, 2020-12)
      Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in medical imaging are often trained on ...
    • Time-Based Decision Making for Reperfusion in Acute Ischemic Stroke 

      Grøan, Mathias; Ospel, Johanna; Ajmi, Soffien Chadli; Sandset, Else Charlotte; Kurz, Friedrich Martin Wilhelm; Skjelland, Mona; Advani, Rajiv (Peer reviewed; Journal article, 2021-11)
      Decision making in the extended time windows for acute ischemic stroke can be a complex and time-consuming process. The process of making the clinical decision to treat has been compounded by the availability of different ...