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    • Neural Networks for MRI Reconstruction 

      Blumenthal, Moritz (2024-06-10)
      MRI is arguably the most versatile imaging modality for clinical use available today. In recent years, the development of advanced deep-learning-based reconstruction methods has significantly accelerated data acquisition ...
    • Development of Advanced Generative Priors for MRI Reconstruction 

      Luo, Guanxiong (2024-05-02)
      This thesis investigates generative models for parallel compressed magnetic resonance imaging (MRI) reconstruction. The challenges of compressed MRI reconstruction using deep learning are identified, including model ...