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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects
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to investigate the potential of using Implicit Neural Representation (INR), a class of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the
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, and control (such as CNNs, RNNs/LSTMs, autoencoders, physics-informed neural networks, anomaly/outlier detection, uncertainty quantification, model predictive control). Documented knowledge and
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qualification of the PCS programme, the degree of "Doctor rerum naturalium" (Dr rer nat) or the equivalent PhD degree can be awarded. The main focus of the PCS programme is the research aspect, i.e. the PhD