• Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol 

      Kulseng, Carl Petter Skaar; Nainamalai, Varatharajan; Grøvik, Endre; Geitung, Jonn Terje; Årøen, Asbjørn; Gjesdal, Kjell Inge (Peer reviewed; Journal article, 2023)
      Background: To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. ...
    • Imaging the tumour microenvironment in rectal cancer: Decline in tumour blood flow during radiotherapy predicts good outcome 

      Bakke, Kine Mari; Meltzer, Sebastian; Grøvik, Endre; Negård, Anne; Holmedal, Stein Harald; Mikalsen, Lars Tore Gyland; Færden, Arne Engebreth; Lyckander, Lars Gustav; Julbø, Frida Marie Ihle; Bjørnerud, Atle; Gjesdal, Kjell Inge; Ree, Anne Hansen; Redalen, Kathrine Røe (Peer reviewed; Journal article, 2023)
      Background and purpose Measuring rectal tumour response to radiation is pivotal to restaging patients and for possibly stratification to a watch-and-wait strategy. Recognizing the importance of the tumour microenvironment, ...