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theory, and practical applications of quantum information. Examples include operational reconstruction of quantum theory and quantum particle statistics, exploring quantum phenomena at macroscopic scales
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microenvironmentMachine Learning for treatment response monitoring of glioma patientsBest practices in ML-workflows for medical imaging in case of small training sample sizesIntegrating PET/MR Imaging Parameters with
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imaging (MRI). Towards this aim, we will develop a comprehensive mathematical and computational framework for quantitative imaging, including physical modeling and optimization of the data acquisition
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respect to the required combined high spatial, energy & momentum (q)-resolution for microscopic imaging, structural characterization and associated nanospectroscopic analysis at all energy scales