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 four student research assistants. 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:

  • Scientific Visualization, a comprehensive course on efficient techniques to visually represent and interactively explore data sets from scientific simulations, measurements, and medical imaging.
  • 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.
  • Introduction to Computer Science for LSI, 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 tensor decompositions, higher-order tensor fields, PDE-based methods, and feature-based visualization. A particular focus on the application side is neuroimaging, including diffusion-weighted Magnetic Resonance Imaging (dMRI) and the use of machine learning techniques in neuroimaging. Recent work has tackled diverse applications within biology, chemistry and engineering.

Recent collaborators include Prof. Dr. Tobias Schmidt-Wilcke (St. Mauritius Hospital Meerbusch and University of Düsseldorf, Germany), Prof. Dr. Tony Stöcker (DZNE and University of Bonn) and Dr. Samuel Gröschel (University Children's Hospital Tübingen) in medicine and neuroscience, Prof. Dr. Jürgen Bajorath (B-IT, University of Bonn) in chemoinformatics, Prof. Dr. Gordon Kindlmann (University of Chicago), Prof. Dr. Anna Vilanova (TU Delft, 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.