• Brain Tumor Segmentation Based on Minimum Spanning Tree 

      Mayala, Simeon Sahani; Herdlevær, Ida Ajvazi; Haugsøen, Jonas Bull; Anandan, Shamundeeswari; Gavasso, Sonia; Brun, Morten (Journal article; Peer reviewed, 2022-03-11)
      In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning parameters. The steps ...
    • GUBS: Graph-Based Unsupervised Brain Segmentation in MRI Images 

      Mayala, Simeon Sahani; Herdlevær, Ida Ajvazi; Haugsøen, Jonas Bull; Anandan, Shamundeeswari; Blaser, Nello; Gavasso, Sonia; Brun, Morten (Journal article; Peer reviewed, 2022)
      Brain segmentation in magnetic resonance imaging (MRI) images is the process of isolating the brain from non-brain tissues to simplify the further analysis, such as detecting pathology or calculating volumes. This paper ...
    • The Therapeutic Mechanisms of Mesenchymal Stem Cells in MS—A Review Focusing on Neuroprotective Properties 

      Gavasso, Sonia; Kråkenes, Torbjørn; Olsen, Håkon; Evjenth, Elisabeth Claire; Ytterdal, Marie; Haugsøen, Jonas Bull; Kvistad, Christopher Elnan (Journal article; Peer reviewed, 2024-01-23)
      In multiple sclerosis (MS), there is a great need for treatment with the ability to suppress compartmentalized inflammation within the central nervous system (CNS) and to promote remyelination and regeneration. Mesenchymal ...
    • Threshold estimation based on local minima for nucleus and cytoplasm segmentation 

      Mayala, Simeon Sahani; Haugsøen, Jonas Bull (Journal article; Peer reviewed, 2022)
      Background: Image segmentation is the process of partitioning an image into separate objects or regions. It is an essential step in image processing to segment the regions of interest for further processing. We propose a ...