Research topics

Our portfolio

Digital radiology

VRVis has been researching solutions for digital radiology for more than 20 years. Our innovations support medical teams in disease prevention, pathology detection and therapy planning. The results of our research have been published several times and patented internationally. Our portfolio of solutions and digital tools ranges from fully automated semantic annotations, cardiac analysis, AI-assisted tuberculosis screening to soft tissue tumor segmentation in multimodal data or trustworthy AI solutions (XAI). More information about our digital radiology solutions.

Three female researchers in front of a screen. The standing researcher points to a detail on the monitor.
The Biomedical Image Informatics team at VRVis has been researching solutions in the field of radiotherapy, radiology, intervention planning and developing data science solutions for cancer research and healthcare research for more than 20 years.


Using the latest methods of visualization, image processing and data science, we accelerate medical diagnostic processes, surgical planning and intervention planning for our partners in the biotech industry and healthcare sector. With our data platforms and data science solutions, we contribute to a better understanding of epidemiological processes and the development of precision medicine. More information about our applications and technologies for medicine.

A researcher points with a pen to a screen where a brain data platform can be seen.


State-of-the-art imaging techniques and progress in the development of genetic tools allow ever deeper insights into the functioning of nerve cells, neural networks and the entire brain. In collaboration with renowned international institutions, VRVis has been developing data science methods for the computational analysis of neuroscientific data as well as big data platforms for the management, integration, visualization and, above all, mining of large collections of neuroscientific image and network data and their molecular context for over a decade. More information about our solutions for computational neuroscience.

Auf dem Computerbildschirm ist eine Visualisierung eines Fruchtfliegenlarvengehirns zu sehen, die von zwei Forschenden betrachtet wird.
Solutions for life sciences in the Larvalbrain project: a 4D atlas of the brain of the fruit fly larva.


The correct handling of multidimensional, multi-channel and/or time-dependent image data as well as entire image collections is increasingly becoming a bottleneck in data analysis. Visualization is an important tool to fully exploit the wealth of information from image data. This includes the visualization and interactive analysis of brain network data, high-performance 2D and 3D visualization of brain data and visualization methods for behavioural biology. More information about visualization solutions for neuroscience and life science.

Two images next to each other, on the left in gray a micro-image of a crystal, on the right is the same image but different areas are colored because they were automatically segmented by an artificial intelligence.
The interplay of AI and visual computing allows (micro)material structures and production processes to be automatically recorded and checked in a matter of seconds - an important contribution to optimization and acceleration in manufacturing. The image shows an AI-based grain structure analysis; grain size measurement using automated image analysis is an essential part of the quality control of material samples.

Materials science and manufacturing

Modern materials science and production companies use image processing methods to evaluate data from sensors and cameras. This supports production processes and optimizes quality inspections. At VRVis, we develop AI-based image processing methods for our partners such as RHI Magnesita to automate visual quality inspections and analyze material structures for damage types as well as to simplify annotation for future training data.

Two satellite images side by side, the original image on the left is pixelated, the image post-processed by VRVis (on the right) is much clearer.
To fully utilize the potential of satellite images, VRVis combines image processing methods with artificial intelligence.

Satellite image processing

Satellite data from various missions and programs provide a wide range of data, but must first be processed in order to access the information they contain. Digital image processing is therefore one of the key technologies in remote sensing. VRVis develops image processing methods to obtain relevant information for agriculture from satellite images. This includes, for example, the size and structure of agricultural areas. We also use super-resolution reconstruction (SRR) to improve the resolution of image data with AI and thus generate even more detailed information, such as vegetation characteristics. More information about this project.