Contribution to a book

In magnetic resonance imaging, signal intensity inhomogeneities due to intrinsic bias field pose a significant challenge for automated medical image analysis. Conventional methods to mitigate these effects, such as N4ITK, are time-consuming and unstable. [...]

Viewing material poverty as a cultural phenomenon expands the possibilities for understanding in psychological and sociological poverty research. This chapter explains how the phenomenon of poverty can be viewed from a cultural psychological perspective. [...]

The black-box nature of deep learning still prevents its widespread clinical use due to the high risk of hidden biases and prediction errors. Over the last decade, various explanation methods have been proposed to reveal the latent mechanisms of neural networks and support their decisions. [...]

Analyzing the structure of astrocytes, their specific morphological features, and their remodeling is important for understanding how this cell type fulfils its many functions. This is because cell shape determines the propagation of intracellular signals and their subcellular compartmentalization. [...]

Neurodegenerative diseases involve many different (sub)cellular pathologic processes like mitochondria damage, which are still incompletely understood and present future targets for therapy development. Live imaging microscopy of dynamic pathologic changes at single cell resolution might advance studies of pathomechanisms and biomarkers. [...]

Better understanding of how the brain cleans itself is of high importance as its failure has been linked to various neurodegenerative diseases. A first step towards elucidating CSF-mediated clearance mechanisms is the measurement of CSF motion in the human brain. [...]