Visualization and Medical Image Analysis Group (Prof. Thomas Schultz)

The Visualization and Medical Image Analysis Group has been established in Spring 2013. It currently consists of Prof. Dr. Thomas Schultz, five internal and two external PhD students, and one student research assistant. We encourage students who are interested in doing a Bachelor or Master Thesis to look at our list of completed and ongoing works, and contact us for possible topics choices.

We offer the following classes on a regular basis:

  • Visual Data Analysis, a comprehensive course on efficient techniques to visually represent and interactively explore data. It covers abstract high-dimensional data, as well as two- and three-dimensional spatial data from scientific simulations, measurements, and medical imaging. Special attention is paid to the integration of interactive visual analysis with statistics and machine learning.
  • Image Acquisition and Analysis in Neuroscience, covering all aspects of the computational pipeline for neuroscientific magnetic resonance image analysis, from image formation, registration, segmentation and modelling to statistical analysis and machine learning.
  • Computer Science for Life Scientists, a MSc-level introduction to programming, algorithms, and data structures, for students with a background in the life sciences
  • Visual Computing in the Life Sciences, focusing on interactive graphical methods for the analysis of large and complex biological data, as well as on quantitative analysis of biological images.

In research, our group follows an interdisciplinary approach that integrates the theoretical foundations and practical applications of visualization and medical image analysis. On the methodical side, we are particularly interested in feature-based, ensemble, and uncertainty visualization, interactive human guidance for machine learning, and the quantification of structures in images via mathematical modeling or deep learning. Current focus areas on the application side are neuroimaging, including diffusion-weighted Magnetic Resonance Imaging (dMRI) and ophthalmology.

Recent collaborators include Prof. Dr. Dr. med. Robert Finger and Prof. Dr. Dr. med. Ralph Bundschuh (University Hospital Bonn), Prof. Dr. Tobias Schmidt-Wilcke (St. Mauritius Hospital Meerbusch and University of Düsseldorf, Germany), Prof. Dr. Tony Stöcker (DZNE and University of Bonn) and PD Dr. Samuel Gröschel (University Children's Hospital Tübingen) in medicine and neuroscience, Prof. Dr. Anna Vilanova (TU Eindhoven, The Netherlands), Prof. Dr. Reinhard Klein (University of Bonn) and Prof. Dr. Eugene Zhang (Oregon State University) in computer science, as well as Prof. Dr. Bernhard Schölkopf (Max Planck Institute for Intelligent Systems, Tübingen) and Prof. Dr. Lek-Heng Lim (University of Chicago) in machine learning and statistics.