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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 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.
 
 Portrait Photo  
Firstname:  Michael
Lastname:  Liedlgruber
Born:  ---
Room No:  1.13
Telephone:  0043-662-8044-6305
Mail: mliedl@cosy.sbg.ac.at
Homepage: http://www.cosy.sbg.ac.at/~mliedl

Michael Liedlgruber

 
 

About Me:
I'm a Post-Doc researcher in the WaveLab group headed by Prof. Uhl. My PhD thesis was focused on the computer-aided classification of endoscopic images (specifically from the Gastrointestinal tract). In the course of this thesis we developed different novel methods for the classification of colonic polyps and the detection of celiac disease.

 
 

Research Interests:

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

 
 

Publications :

    Journal Articles

    1. [Gadermayr13d  ] Evaluation of Different Distortion Correction Methods and Interpolation Techniques for an Automated Classification of Celiac Disease Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei Computer Methods and Programs in Biomedicine 112:3, pp. 694-712, Dec. 2013
    2. [Liedlgruber11e  ] Computer-aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review Michael Liedlgruber, Andreas Uhl IEEE Reviews in Biomedical Engineering 4, pp. 73-88, 2012
    3. [Haefner12a  ] Delaunay Triangulation-based Pit Density Estimation for the Classification of Polyps in High-magnification Chromo-colonoscopy M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba Computer Methods and Programs in Biomedicine 107:3, pp. 565-581, 2012
    4. [Haefner11a  ] Color Treatment in Endoscopic Image Classification using Multi-scale Local Color Vector Patterns M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba Medical Image Analysis 16:1, pp. 75-86, Jan. 2012
    5. [Vecsei11a  ] Automated Marsh-like Classification of Celiac Disease in Children using an Optimized Local Texture Operator A. Vécsei, G. Amann, S. Hegenbart, M. Liedlgruber, A. Uhl Computers in Biology and Medicine 41:6, pp. 313-325, June 2011
    6. [Vecsei09a   ] Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors A. Vécsei, T. Fuhrmann, M. Liedlgruber, L. Brunauer, H. Payer, A. Uhl Computer Methods and Programs in Biomedicine 95, pp. S68-S78, 2009
    7. [Haefner06d  ] Computer-Assisted Pit Pattern Analysis of Colonic Lesions Michael Häfner, Michael Liedlgruber, Andreas Puespoek, Schickmair Thomas, Rainer Schoefl, Friedrich Wrba, Alfred Gangl, Andreas Uhl Gastrointestinal Endoscopy 63:5, pp. AB247-AB247, 2006

    Book Chapters

    1. [Liedlgruber11a  ] Predicting Pathology in Medical Decision Support Systems in Endoscopy of the Gastrointestinal Tract Michael Liedlgruber, Andreas Uhl In Chiang Jao, editor, Efficient Decision Support Systems -- Practice and Challenges in Biomedical Related Domain, pp. 195-214, Rijeka, Croatia, InTech, 2011
    2. [Haefner09a  ] Pit Pattern Classification Using Multichannel Features and Multiclassification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba 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. [Liedlgruber16b ] Texture description using Dual Tree Complex Wavelet Packets M. Liedlgruber, M. Häfner, J. Hämmerle-Uhl, A. Uhl In Advances in Multimedia Information Processing -- Proceedings of the 17th Pacific-Rim Conference on Multimedia (PCM'16), pp. 181-190, Xi'an, China, Springer LNCS, 9916, September 15 - September 16
    2. [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
    3. [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
    4. [Haefner15a ] Colonic Polyp Classification in High- Definition Video Using Complex Wavelet-Packets Michael Häfner, Michael Liedlgruber, Andreas Uhl In Proceedings of Bildverarbeitung für die Medizin 2015 (BVM'15), pp. 365-370, March 2015
    5. [Gadermayr13e   ] Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei In Medical Computer Vision. Large Data in Medical Imaging (Proceedings of the 3rd International MICCAI - MCV Workshop 2013), pp. 175-184, Springer LNCS, 8331, 2014
    6. [Haefner14b  ] Bridging the Resolution Gap Between Endoscope Types for a Colonic Polyp Classification M. Häfner, M. Liedlgruber, A. Uhl, G. Wimmer In Proceedings of the 22nd International Conference on Pattern Recognition (ICPR'14), pp. 2739-2744, 2014
    7. [Haefner14c  ] Evaluation of Super-Resolution Methods in the Context of Colonic Polyp Classification M. Häfner, M. Liedlgruber, A. Uhl, G. Wimmer In Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing (CBMI'14), pp. 1-6, 2014
    8. [Haefner14a  ] Comparison of Super-Resolution Methods for HD-Video Endoscopy M. Häfner, M. Liedlgruber, A. Uhl In Proceedings of Bildverarbeitung für die Medizin 2014 (BVM'14), pp. 78-83, Aachen, Germany, Springer Informatik aktuell, March 2014
    9. [Gadermayr13a   ] Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei In Proceedings of the 9th International Conference on Image Analysis and Processing (ICIAP'13), pp. 513-522, Springer LNCS, 8156, Sep. 2013
    10. [Haefner13a  ] POCS-based Super-Resolution for HD Endoscopy Video Frames M. Häfner, M. Liedlgruber, A. Uhl In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS'13), pp. 185-190, June 2013
    11. [Gschwandtner12a ] Improved Endoscope Distortion Correction does not Necessarily Enhance Mucosa-Classification based Medical Decision Support Systems Michael Gschwandtner, Jutta Hämmerle-Uhl, Yvonne Höller, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP'12), pp. 158-163, Sep. 2012
    12. [Haefner12b  ] Evaluation of Cross-validation Protocols for the Classification of Endoscopic Images of Colonic Polyps M. Häfner, M. Liedlgruber, S. Maimone, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS'12)June 2012
    13. [Haefner11b  ] Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier M. Häfner, S. Hegenbart, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis (ISPA'11), pp. 721-726, Dubrovnik, Croatia, Sep. 2011
    14. [Liedlgruber11b  ] Statistical Analysis of the Impact of Distortion (Correction) on an Automated Classification of Celiac Disease Michael Liedlgruber, Andreas Uhl, Andreas Vécsei In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'11)Corfu, Greece, July 2011
    15. [Gschwandtner10a  ] Experimental Study on the Impact of Endoscope Distortion Correction on Computer-assisted Celiac Disease Diagnosis M. Gschwandtner, M. Liedlgruber, A. Uhl, A. Vécsei In Proceedings of the 10th International Conference on Information Technology and Applications in Biomedicine (ITAB'10)Corfu, Greece, November 3 - 5, 2010
    16. [Haefner10c  ] Endoscopic Image Classification using Edge-Based Features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pp. 2724-2727, Istanbul, Turkey, Aug. 2010
    17. [Haefner10a  ] Classification of endoscopic images using Delaunay triangulation-based edge features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR'10), pp. 131-140, Povoa de Varzim, Portugal, Springer LNCS, 6112, June 2010
    18. [Haefner09b  ] Combining Gaussian Markov Random Fields with the Discrete Wavelet Transform for Endoscopic Image Classification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'09), pp. 177-182, Santorini, Greece, 2009
    19. [Haefner09c  ] Pit Pattern Classification using Extended Local Binary Patterns M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB'09)Larnaca, Cyprus, November 5 - 7, 2009
    20. [Liedlgruber09a  ] Endoscopic Image Processing - An Overview M. Liedlgruber, A. Uhl In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, ISPA '09, pp. 707-712, Salzburg, Austria, September 16 - 18, 2009
    21. [Hegenbart09a  ] Impact of Duodenal Image Capturing Techniques and Duodenal Regions on the Performance of Automated Diagnosis of Celiac Disease S. Hegenbart, R. Kwitt, M. Liedlgruber, A. Uhl, A. Vécsei In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (ISPA'09), pp. 718-723, Salzburg, Austria, September 16 - 18, 2009
    22. [Haemmerle08a  ] Multiple Re-Watermarking using varying wavelet packets Jutta Hämmerle-Uhl, Michael Liedlgruber, Andreas Uhl, Hartmut Wernisch In Proceedings of the 2008 IEEE Conference on Multimedia & Expo, ICME '08, pp. 213-216, Hannover, Germany, June 23 - 26, 2008
    23. [Liedlgruber07a ] Statistical and structural wavelet packet features for Pit pattern classification in zoom-endoscopic colon images M. Liedlgruber, A. Uhl 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
    24. [Haefner06c ] Computer-assisted Pit Pattern Analysis of Colonic Lesions M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In Proceedings of the 2006 Digestive Disease Week / ASGELos Angeles, CA, US, may, poster no. 224417
    25. [Haefner06a ] Pit pattern classification of zoom-endoscopic colon images using wavelet texture features M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. Vécsei, A. Uhl 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

    Technical Reports

    1. [Haefner13b  ] Super-Resolution Techniques Evaluated in the Context of HD Endoscopic Imaging M. Häfner, M. Liedlgruber, A. Uhl Department of Computer Sciences, University of Salzburg, Austriahttp://www.cosy.sbg.ac.at/tr, Technical Report 2013-04, 2013
    2. [Gadermayr12f   ] Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis Michael Gadermayr, Michael Liedlgruber, Andreas Uhl Department of Computer Sciences, University of Salzburg, Austriahttp://www.cosy.sbg.ac.at/tr, Technical Report 2012-06, 2012
    3. [Liedlgruber11c  ] A Summary of Research Targeted at Computer-Aided Decision Support in Endoscopy of the Gastrointestinal Tract M. Liedlgruber, A. Uhl Department of Computer Sciences, University of Salzburg, Austriahttp://www.cosy.sbg.ac.at/tr, Technical Report 2011-01, 2011

    Theses

    1. [Liedlgruber11d  ] Computer-aided Classification of Endoscopic Images from the Gastrointestinal Tract M. Liedlgruber PhD thesis, Department of Computer Sciences, University of Salzburg, Austria, Sep. 2011
    2. [Liedlgruber06a  ] Pit Pattern Classification in Colonoscopy Using Wavelets M. Liedlgruber Master thesis, Department of Computer Sciences, University of Salzburg, Austria, May 2006