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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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will join the collaborative efforts to fully identify and mitigate the low-energy excess and contribute to the subsequent dark matter analyses. To increase detector prototype and electronics testing
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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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developments approaching the Heisenberg limit with respect to the required combined high spatial, energy & momentum (q)-resolution for microscopic imaging, structural characterization and associated
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leveraging advanced computer vision and deep learning-based pose estimation from football match footage to analyze pre-injury biomechanical patterns and joint load dynamics. The research aims to create
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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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years. Expected start: May 2025. Project’s vision: Wireless networks are at the heart of modern life. They support critical infrastructure like power grids and everyday services such as healthcare