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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.

Physiological Markers for the Prognosis of Memory Decline (MemDecline)


Project Description:

MemDecline (FWF KLI project 00012) is a joint project with the Salzburg Christian Doppler Hospital (Department of Neurology) and the Innsbruck University Hospital, where we have the role of a national research partner. The aim of the project is to identify pysiological markers which allow to distinguish between generic memory decline (i.e. mild cognitive impairment MCI) and MCI associated with temporal lobe epilepsy. The pysiological data considered are MRT scans and EEG data. Our particular contribution is MRT segmentation with emphasis on the hippocampus and derivation of sensible features as well as the application of ensemble classification techniques.





  • Nov 2011 - Oct 2016


  1. [Hofer17b  ] Constructing Shape Spaces from a Topological Perspective Christoph Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl In IPMI2017
  2. [Hofer17c  ] Deep Learning with Topological Signatures C. Hofer, R. Kwitt, M. Niethammer, A. Uhl In NIPS2017
  3. [Hofer17a  ] Simple Domain Adaptation For Cross-Dataset Analyses of Brain MRI Data Christoph Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl In 14th International IEEE Symposium on Biomedical Imaging (ISBI'17), pp. 5 pages, 2017
  4. [Liedlgruber17a  ] Pathology-related Automated Hippocampus Segmentation Accuracy M. Liedgruber, K. Butz, Yvonne Höller, G. Kuchukhidze, A. Taylor, A. Thomschewski, O. Tomasi, E. Trinka, A. Uhl In Proceedings of Bildverarbeitung für die Medizin 2017 (BVM'17), pp. 128-133, Springer Informatik Aktuell, March 2017
  5. [Liedlgruber16a  ] Variability Issues in Automated Hippocampal Segmentation: A Study on Out-of-the-Box Software and Multi-rater Ground Truth M. Liedlgruber, K. Butz, Y. Höller, G. Kuchukhidze, A. Taylor, O. Tomasi, E. Trinka, A. Uhl In Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems (CBMS'16), pp. 191-196, June 2016
  6. [Gschwandtner16a  ] Assessing Out-of-the-box Software for Automated Hippocampus Segmentation Michael Gschwandtner, Yvonne Höller, Michael Liedlgruber, Eugen Trinka, Andreas Uhl In Proceedings of Bildverarbeitung für die Medizin 2016 (BVM'16), pp. 212-217, Springer Informatik Aktuell, March 2016