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Member Profile

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. 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.
 
 Portrait Photo  
Firstname:  Michael
Lastname:  Liedlgruber
Born:  ---
Room No:  0.25
Telephone:  0043-662-8044-6310
Mail: mliedl@cosy.sbg.ac.at
Homepage: ---

Michael Liedlgruber

 
 

About Me:
In 2006 I finished my Master Thesis entitled "Pit Pattern Classification in Colonoscopy using Wavelets". Since October 2007 I'm working on my PhD Thesis dealing with the topic of medical image classification, too.

 
 

Research Interests:

  • Image and signal processing (especially medical image processing)
  • Pattern recognition

 
 

Publications:

    Journal Articles

    1. [Vecsei09a ] A. Vecsei, T. Fuhrmann, M. Liedlgruber, L. Brunauer, H. Payer, A. Uhl, "Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors", Computer Methods and Programs in Biomedicine 95, pp. S68-S78, 2009
    2. [Haefner06d] Michael Häfner, Michael Liedlgruber, Andreas Puespoek, Schickmair Thomas, Rainer Schoefl, Friedrich Wrba, Alfred Gangl, Andreas Uhl, "Computer-Assisted Pit Pattern Analysis of Colonic Lesions", Gastrointestinal Endoscopy 63:5, pp. AB247-AB247, 2006

    Book Chapters

    1. [Haefner09a ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba, "Pit Pattern Classification Using Multichannel Features and Multiclassification", In T.P. Exarchos, A. Papadopoulos, D.I. Fotiadis, editors, Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, pp. 335-350, Hershey, PA, USA, IGI Global, 2009

    Conference Papers

    1. [Haefner09b ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vecsei, F. Wrba, "Combining Gaussian Markov Random Fields with the Discrete Wavelet Transform for Endoscopic Image Classification", In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'09), Santorini, Greece, 2009
    2. [Haefner09c ] M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba, "Pit Pattern Classification using Extended Local Binary Patterns", In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB'09), Larnaca, Cyprus, November 5 - 7, 2009
    3. [Liedlgruber09a ] M. Liedlgruber, A. Uhl, "Endoscopic Image Processing - An Overview", In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, ISPA '09, Salzburg, Austria, September 16 - 18, 2009
    4. [Hegenbart09a ] S. Hegenbart, R. Kwitt, M. Liedlgruber, A. Uhl, A. Vecsei, "Impact of Duodenal Image Capturing Techniques and Duodenal Regions on the Performance of Automated Diagnosis of Celiac Disease", In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, ISPA '09, Salzburg, Austria, September 16 - 18, 2009
    5. [Haemmerle08a ] Jutta Hämmerle-Uhl, Michael Liedlgruber, Andreas Uhl, Hartmut Wernisch, "Multiple Re-Watermarking using varying wavelet packets", In Proceedings of the 2008 IEEE Conference on Multimedia & Expo, ICME '08, pp. 213-216, Hannover, Germany, June 23 - 26, 2008
    6. [Liedlgruber07a] M. Liedlgruber, A. Uhl, "Statistical and structural wavelet packet features for Pit pattern classification in zoom-endoscopic colon images", In P. Dondon, V. Mladenov, S. Impedovo, S. Cepisca, editors, Proceedings of the 7th WSEAS International Conference on Wavelet Analysis & Multirate Systems (WAMUS'07), pp. 147-152, Arcachon, France, Oct. 2007
    7. [Haefner06c] M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl, "Computer-assisted Pit Pattern Analysis of Colonic Lesions", In Proceedings of the 2006 Digestive Disease Week / ASGE, Los Angeles, CA, US, may, poster no. 224417
    8. [Haefner06a] M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl, "Pit pattern classification of zoom-endoscopic colon images using wavelet texture features", In W. Sandham, D. Hamilton, C. James, editors, Proceedings of the International Conference on Advances in Medical Signal and Image Processing (MEDSIP'06), Glasgow, Scotland, UK, July 2006, paper no. 0038

    Theses

    1. [Liedlgruber06a ] M. Liedlgruber, "Pit Pattern Classification in Colonoscopy Using Wavelets", Master thesis, Department of Computer Sciences, University of Salzburg, Austria