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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
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. The aim of this project is to create orthorectified image mosaics and digital terrain models from historical aerial photographs of the Austrian Alps from 1945. This data can be used for many different
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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