IT

 

I. Image Processing & Visualization

II. Bioinformatics

III. Computational Science Center

 
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I: Image Processing & Visualization

We provide access to the leading research company in the field of Visual Computing. Research and development of the Biomedical Visualization Group is focused on highly efficient methods for biomedical image analysis for biomedical experts and life scientists.

Resources

  • Expertise in Building Customized Pipelines for Biomedical Image Analysis:

    • Image Processing / Noise Reduction

    • Image Registration

    • Data Integration and Fusion (also with external data resources)

    • Feature Extraction and Image Segmentation
      Visualization

    • Machine Learning

    • Biomedical Image Data Management (PACS and Customized)

  • Selection of Specific Solutions: Blood Vessel Segmentation, Bone Analysis, (Multi-Modal) Analysis, Segmentation and Visualization of MR, CT, MR Spectroscopy, PET, Confocal Microscopy, (micro) fMRI Data. Visualization and Analysis of Flow.

  • Complete Frameworks:

    • Brain* is a complete Framework for Managing, Exploring, Mining and Analysing neural structures of the fruit fly based on a large collection of confocal microscopy images
      https://braingazer.org/

    • MITK Solution for Visualizing and Exploring MR, PET-CT and MR Spectroscopydata
      http://summer-project.eu/

    • SimVis a tool for Visualizing and Exploring spatio-temporal multi-parametric (image) data

    • Access to Professional Radiology Software via our Company Partner

Applications

- Image Segmentation and Quantification
- Semantic Image Annotation and Quantification
- Data Visualization
- Image Data Fusion
- Interactive Visual Analysis of Multi-Modal Image Data
- Building of Complex Pipelines for the Analysis of Multi-Modal Data

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II: Bioinformatics

Experts in bioinformatics support specialists in life sciences, with intelligent software systems for analysis of molecular biological data and for the simulation of biological processes. We have over the last years gained expertise especially in data mining, proteomics, immunology, and the analysis of microscopy images of cells and molecules.

Resources

- Hard- and software for algorithm development, big data analysis, and machine learning
- Frameworks: NanoDetect, HeuristicLab (http://dev.heuristiclab.com)

Applications

- Object identification
- Image analysis
- Cell and molecule detection
- Machine learning
- Heuristic and evolutionary algorithms
- Identification of impact factors

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III: Computational Science Center

This Center is a research platform which focuses on Inverse Problems and Image Analysis. The common thread among these areas is the problem of recovery of an object (function or image) from partial or indirect information. Particular research topics are:

- Geometrical Modeling for Image Analysis.
- Mathematical Modeling and numerical simulations in Coupled Physics Imaging.
- Variational regularization methods for Image Analysis and Inverse Problems.
- Mathematical models for visual attention.

Resources

- Visualization Lab

Applications

- Modeling and Development of Algorithms for Imaging Problems
- Visualization