Conference Presentations

Knowledge infrastructures are multi-faceted, ever-shifting networks of people and information. They span departments, address varying needs and, ideally, provide stability despite personnel turnover and other changes. [...]

In this paper, for the first time, we propose an evaluation method for deep learning models that assesses the performance of a model not only in an unseen test scenario, but also in extreme cases of noise, outliers and ambiguous input data. To this end, we utilize adversarial examples, images that fool machine learning models, while looking imperceptibly different from original data, as a measure to evaluate the robustness of a variety of medical imaging models. [...]

We introduce inherent measures for effective quality control of brain segmentation based on a Bayesian fully convolutional neural network, using model uncertainty. Monte Carlo samples from the posterior distribution are efficiently generated using dropout at test time. [...]

Within medical imaging, manual curation of sufficient well-labeled samples is cost, time and scale-prohibitive. To improve the representativeness of the training dataset, for the first time, we present an approach to utilize large amounts of freely available web data through web-crawling. [...]

We present the neomento project, a solution for virtual reality (VR) exposure therapy (VRET). In our work we have created specific rendering methods and virtual environments (VEs); designed and published a novel form of behavioural control for virtual agents (VA); included biophysiological measurements directly into the experience; and created an asymmetric gameplay system to assure the correct progress of a therapy session. [...]

Die Ethiktagung des Deutschen Zentrums für Neurodegenerative Erkrankungen e. V. (DZNE) fand im März 2019 zum fünften Mal statt. [...]

The lack of well-structured annotations in a growing amount of RNA expression data complicates data interoperability and reusability. Commonly used text mining methods extract annotations from existing unstructured data descriptions and often provide inaccurate output that requires manual curation. [...]

We present the neomento project, a solution for virtual reality (VR) exposure therapy (VRET). In our work we have created specific rendering methods and virtual environments (VEs), designed and published a novel form of behavioural control for virtual agents (VA), included biophysiological measurements directly into the experience, and created an asymmetric gameplay system to assure the correct progress of a therapy session. [...]

Diffusion tensor imaging (DTI) allows assessing neuronal fiber tract integrity in vivo to support the diagnosis of Alzheimer’s disease (AD). It is an open research question to which extent combinations of different neuroimaging techniques increase the detection of AD. [...]

Clinically normal aging and pathological processes cause structural changes in the brain. These changes likely occur in overlapping regions that accommodate neural systems with high susceptibility to deleterious factors. [...]