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state-of-the-art magnetic resonance imaging (MRI) in parallel to behavioural assessment and histology. The overall goal of the project is to investigate the impact of radiotherapy in brain development
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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