The evaluation and treatment of acute cerebral ischemia requires a technique that can determine the total area of tissue at risk for infarction using diagnostic magnetic resonance imaging (MRI) sequences. Typical MRI data sets consist of T1-and T2-weighted imaging (T1WI, T2WI) along with advanced MRI parameters of diffusion-weighted imaging (DWI) and perfusion weighted imaging (PWI) methods. Ea...

We propose a novel methodology for learning and synthesising whole classes of high dimensional movements from a limited set of demonstrated examples that satisfy some underlying ’latent’ low dimensional task constraints. We employ non-linear dimensionality reduction to extract a canonical latent space that captures some of the essential topology of the unobserved task space. In this latent spac...

Although regression models offer a standard tool in machine learning, there exist barely possibilities to inspect a trained model which go beyond plotting the prediction against single features. In this contribution, we propose a general framework to visualize a trained regression model together with the training data in two dimensions. For this purpose, we rely on modern nonlinear dimensionali...