Browsing Naturwissenschaften, Mathematik und Informatik by Referee "Uecker, Martin Prof. Dr."
Now showing items 1-4 of 4
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Deep Learning Methods for the Analysis of Cardiac Function in Real-Time MRI
(2024-07-17)Magnetic resonance imaging (MRI) is an essential imaging modality in today's medical field and allows the visualization of soft tissue without the use of ionizing radiation. For cardiac magnetic resonance imaging (CMR), ... -
Neural Networks for MRI Reconstruction
(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
(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 ... -
Quantitative Hemodynamics using Magnetic Resonance Imaging, Computational Fluid Dynamics and Physics-informed Neural Network
(2023-06-20)Hemodynamics is related to blood flows in the circulatory system under normal and pathological conditions to understand the mechanisms of various diseases and to treat them accordingly. Different methods, with their own ...