• Assessing Preprocessing Methods and Software Tools for Functional Connectivity Analysis 

      Cappelen, Casper; Mahesan, Niluja (Master thesis, 2023)
      This thesis presents an introductory exploration of the neuroimaging field, focusing on volume-based analysis using functional connectivity. By studying resting state data using the Power et al. atlas, the research aims ...
    • Brain Tumor Segmentation and Classification Using Neural Networks 

      Takvam, Sander (Master thesis, 2022)
      Magnetic Resonance Imaging (MRI) is widely used in the diagnostic and treatment evaluation of brain tumors. Segmentation is a critical step of the tumor assessment, which usually is a time-consuming task by conventional ...
    • Data Processing of Functional Magnetic Resonance Images of the Human Brain 

      Øzdemir, Ahmed Burhan (Bachelor thesis, 2023)
      Study of the brain’s neural network architecture and function is complex yet fascinating. Among the state-of-the-art approaches to detecting and obtaining functional data from the brain, magnetic resonance imaging (MRI) ...
    • Magnetic Resonance: Simulating Spin Magnetization 

      Holst-Larsen, Einar (Bachelor thesis, 2022)
      Magnetic resonance (MR) imaging modalities provide non-invasive and non-harmful in vivo imaging tools for clinical investigations. The standard clinical MR protocols used in brain examinations comprise several anatomical ...