Engineering
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Electronics and computer science
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Mathematical sciences
Deep equilibrium machine learning models for the efficient reconstruction of X-ray tomographic images
In X-ray tomography, limitations in measurement often result in increased image noise and artifacts; to address this, advanced machine learning techniques have been suggested. This project will investigate the application of deep equilibrium models in practical X-ray imaging scenarios, aiming to create tools for analysing large real-world datasets.