Browsing Bergen Open Research Archive by Author "Anandan, Shamundeeswari"

Now showing items 1-5 of 5

    • 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 ...

    • CD24-targeted fluorescence imaging in patient-derived xenograft models of high-grade serous ovarian carcinoma 

      Kleinmanns, Katrin; Bischof, Katharina; Anandan, Shamundeeswari; Popa, Mihaela Lucia; Akslen, Lars A.; Gjertsen, Bjørn Tore; Karlsen, Ida; Fosse, Vibeke Samuelsen; Bjørge, Line; Mc Cormack, Emmet (Journal article; Peer reviewed, 2020)
      Background The survival rate of patients with advanced high-grade serous ovarian carcinoma (HGSOC) remains disappointing. Clinically translatable orthotopic cell line xenograft models and patient-derived xenografts (PDXs) ...

    • 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 ...

    • Phenotypic Characterization by Mass Cytometry of the Microenvironment in Ovarian Cancer and Impact of Tumor Dissociation Methods 

      Anandan, Shamundeeswari; Thomsen, Liv Cecilie Vestrheim; Gullaksen, Stein-Erik; Abdelaal, Tamim; Kleinmanns, Katrin; Skavland, Jørn; Bredholt, Geir; Gjertsen, Bjørn Tore; Cormack, Emmet Mc; Bjørge, Line (Journal article; Peer reviewed, 2021)
      Improved molecular dissection of the tumor microenvironment (TME) holds promise for treating high-grade serous ovarian cancer (HGSOC), a gynecological malignancy with high mortality. Reliable disease-related biomarkers are ...

    • “Rethinking High-Grade Serous Carcinoma: Development of new tools for deep tissue profiling” 

      Anandan, Shamundeeswari (Doctoral thesis, 2021-09-03)
      Background: High-grade serous ovarian cancer (HGSOC) is the most frequently occurring and most fatal epithelial ovarian cancer (EOC) subtype. The reciprocal interplay of the different components encompassed within the ...