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Recent Publications

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.
     

Medical Image Classification

 

Publications:

  1. [Kwitt11c ] Learning Pit Pattern Concepts for Gastroenterological Training R. Kwitt, N. Rasiwasia, N. Vasconcelos, A. Uhl, M. Häfner, F. Wrba In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '11), pp. 280-287, Toronto, Canada, LNCS 6893, 2011
  2. [Kwitt11a  ] Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework R. Kwitt, P. Meerwald, A. Uhl IEEE Transactions on Image Processing 20:7, pp. 2063-2077, July 2011
  3. [Kwitt10b  ] Predicting the Histology of Colorectal Lesions in a Probabilistic Framework R. Kwitt, A. Uhl, M. Häfner, A. Gangl, F. Wrba, A. Vécsei In Proceedings of the IEEE International Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '10), pp. 103-110, San Francisco, CA, United States, June, 13-14, 2010
  4. [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
  5. [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
  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. [Kwitt09c  ] Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts M. Häfner, A. Gangl, R. Kwitt, A. Uhl, A. Vécsei, F. Wrba In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), pp. 247-254, London, UK, 2009
  8. [Kwitt08f  ] Feature-Extraction from Multi-Directional Multi-Resolution Image Transformations for the Classification of Zoom-Endoscopy Images M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, A. Vécsei Pattern Analysis and Applications 12:4, pp. 407-413, Springer, Dec. 2009
  9. [Kwitt07b  ] Multi--Directional Multi-Resolution Transforms for Zoom--Endoscopy Image Classification (Best Paper Award at CORES '07) R. Kwitt, A. Uhl In Computer Recognition Systems 2, pp. 35-43, Advances in Soft Computing, 45, Springer, 2008
  10. [Haefner08a  ] One-Against-One Classification for Zoom-Endoscopy Images M. Häfner, R. Kwitt, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In Proceedings of the 4th International Conference on Advances in Medical, Signal and Information Processing (MEDSIP '08), pp. 1-4, Santa Margherita Ligure, Italy, 2008
  11. [Vecsei08a ] Towards automated diagnosis of celiac disease by computer-assisted classification of duodenal imagery A. Vécsei, T. Fuhrmann, A. Uhl In Proceedings of the 4th International Conference on Advances in Medical, Signal and Information Processing (MEDSIP '08), pp. 1-4, Santa Margherita Ligure, Italy, 2008, paper no P2.1-009
  12. [Kwitt08a  ] Color Eigen-Subband Features for Endoscopy Image Classification R. Kwitt, A. Uhl In Proceedings of the 33rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '08), pp. 589-592, Las Vegas, Nevada, United States, 2008
  13. [Kwitt08b  ] Color Wavelet Cross Co-Occurrence Matrices for Endoscopy Image Classification R. Kwitt, A. Uhl In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP '08), pp. 715-718, St. Julians, Malta, 2008
  14. [Kwitt08d  ] Image Similarity Measurement By Kullback-Leibler Divergences between Complex Wavelet Subband Statistics for Texture Retrieval R. Kwitt, A. Uhl In Proceedings of the IEEE International Conference on Image Processing (ICIP '08), pp. 933-936, San Diego, California, United States, Oct. 2008
  15. [Kwitt08g  ] Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba, A. Vécsei Pattern Recognition 42:6, pp. 1180-1191, Elsevier Ltd., Sep. 2008
  16. [Kwitt07a  ] Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images R. Kwitt, A. Uhl In Proceedings of the IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '07), pp. 1-8, Rio de Janeiro, Brasil, 2007
  17. [Haefner07c ] Comparison of k-NN, SVM, and NN in Pit Pattern Classification of Zoom-Endoscopic Colon Images using Co-Occurrence Histograms M. Häfner, C. Kastinger, H.P. Schmidt, K. Thonhauser, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In M. Petrou, T. Saramäki, A. Ercil, S. Loncaric, editors, Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis (ISPA'07), pp. 516-521, 2007
  18. [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
  19. [Haefner07b ] Pit pattern classification of zoom-endoscopical colon images using evolved Fourier feature vectors M. Häfner, L. Brunauer, H. Payer, R. Resch, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In K. Diamantaras, T. Adali, I. Pitas, J. Larsen, T. Papadimitriou, S. Douglas, editors, Proceedings of the 2007 IEEE Machine Learning for Signal Processing Workshop (MLSP'07), pp. 99-104, Thessaloniki, Greece, IEEE, Aug. 2007
  20. [Haefner07a ] Pit pattern classification of zoom-endoscopic colon images using DCT and FFT M. Häfner, L. Brunauer, H. Payer, R. Resch, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In P. Kokol, V. Podgorelec, D. Micetic-Turk, M. Zorman, M. Verlic, editors, Proceedings of the IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), pp. 159-164, Maribor, Slovenia, IEEE Computer Society CPS, June 2007
  21. [Fuhrmann06a ] Computer Assisted Morphometric Analysis of TEM Images T. Fuhrmann, J. Pletzer, 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. 0039
  22. [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
  23. [Haefner06b ] Pit pattern classification of zoom-endoscopic colon images using histogram techniques M. Häfner, C. Kendlbacher, W. Mann, W. Taferl, F. Wrba, A. Gangl, A. Vécsei, A. Uhl In Johannes R. Sveinsson, editor, Proceedings of the 7th Nordic Signal Processing Symposium (NORSIG 2006), pp. 58-61, Reykjavik, Iceland, June 2006