Convolutional Neural Networks (CNNs) are frequently and successfully use...
By promising more accurate diagnostics and individual treatment
recommen...
A major prerequisite for the application of machine learning models in
c...
Over the last years, many 'explainable artificial intelligence' (xAI)
ap...
Neuroimaging data, e.g. obtained from magnetic resonance imaging (MRI), ...
Neuroimaging studies based on magnetic resonance imaging (MRI) typically...
Attribution methods are an easy to use tool for investigating and valida...
Machine learning-based imaging diagnostics has recently reached or even
...
Visualizing and interpreting convolutional neural networks (CNNs) is an
...