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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 Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
 
 Portrait Photo  
Firstname:  Sebastian
Lastname:  Hegenbart
Born:  13.12.1982
Room No:  1.13
Telephone:  ---
Mail:  shegen at cosy.sbg.ac.at
Homepage: www.cosy.sbg.ac.at/~hegenbart
 
 

About Me:
I'm a Post-Doc researcher in the WaveLab group headed by Prof. Uhl. My research is focused on methods for computer aided diagnosis of endoscopic data. This includes texture classification, pattern recognition, machine learning and various aspects of computer vision.

 
 

Research Interests:

  • Medical image classification
  • Texture classification
  • Pattern Recognition
  • Machine Learning

Please visit my website for teaching materials.

 
 

Publications:

    Edited Proceedings

    1. [Hegenbart15d ] Proceedings of the 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM'15) Sebastian Hegenbart, Roland Kwitt, Andreas Uhl ArXiv, 2015

    Journal Articles

    1. [Hegenbart15a  ] Survey on computer aided decision support for diagnosis of celiac disease Sebastian Hegenbart, Andreas Uhl, Andreas V\'ecsei Computers in Biology and Medicine 65, pp. 348-358, Elsevier, 2015, http://dx.doi.org/10.1016/j.compbiomed.2015.02.007
    2. [Hegenbart15b   ] A Scale- and Orientation-Adaptive Extension of Local Binary Patterns for Texture Classification Sebastian Hegenbart, Andreas Uhl Pattern Recognition 48:8, pp. 2633-2644, Elsevier, 2015
    3. [Hegenbart13a   ] Scale invariant texture descriptors for classifying celiac disease Sebastian Hegenbart, Andreas Uhl, Andreas V\'ecsei, Georg Wimmer Medical Image Analysis 17:4, pp. 458-474, 2013
    4. [Vecsei11a  ] Automated Marsh-like Classification of Celiac Disease in Children using an Optimized Local Texture Operator A. V\'ecsei, G. Amann, S. Hegenbart, M. Liedlgruber, A. Uhl Computers in Biology and Medicine 41:6, pp. 313-325, June 2011

    Conference Papers

    1. [Gadermayr16a  ] Narrow Band Imaging Versus White-Light: What is best for Computer-Assisted Diagnosis of Celiac Disease? M. Gadermayr, S. Hegenbart, R. Kwitt, A. Uhl In Proc. of the 13th IEEE International Symposium on Biomedical Imaging (ISBI'16), pp. 355-359, Prague, Czech Republic, April 2016
    2. [Kwitt14a  ] Do we Need Annotation Experts? A Case Study in Celiac Disease Classification R. Kwitt, S. Hegenbart, N. Rasiwasia, A. V\'ecsei, A. Uhl In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'14), pp. 454-461, Lecture Notes in Computer Science, 8674, September 2014
    3. [Hegenbart14b  ] An Orientation-Adaptive Extension to Scale-Adaptive Local Binary Patterns S. Hegenbart, A. Uhl In Proceedings of the 22nd International Conference on Pattern Recognition (ICPR'14), pp. 1120-1125, Aug 2014
    4. [Gadermayr14d  ] Scale-Adaptive Texture Classification Michael Gadermayr, Sebastian Hegenbart, Andreas Uhl In Proceedings of 22nd IEEE International Conference on Pattern Recognition (ICPR'14)Aug. 2014
    5. [Hegenbart14a  ] A Scale-Adaptive Extension to Methods based on LBP using Scale-Normalized Laplacian of Gaussian Extrema in Scale-Space S. Hegenbart, A. Uhl In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP'14), pp. 4352-4356, 2014
    6. [Hegenbart13b ] On the Effects of De-Interlacing on the Classification Accuracy of Interlaced Endoscopic Videos with Indication for Celiac Disease Sebastian Hegenbart, Andreas V\'ecsei, Andreas Uhl, Georg Wimmer In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS'13)June 2013
    7. [Hegenbart12b  ] Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images Sebastian Hegenbart, Stefan Maimone, Andreas Uhl, Andreas V\'ecsei, Georg Wimmer In Medical Content-Based Retrieval for Clinical Decision Support, pp. 99-109, Springer Lecture Notes in Computer Science, 7723, Oct. 2012
    8. [Hegenbart12a ] On the Implicit Handling of Varying Distances and Gastrointestinal Regions in Endoscopic Video Sequences with Indication for Celiac Disease Sebastian Hegenbart, Andreas Uhl, Andreas V\'ecsei In Proceedings of the IEEE International Symposium on Computer-Based Medical Systems (CBMS'12), pp. 1-6, June 2012
    9. [Hegenbart11a ] Impact of Histogram Subset Selection on Classification using Multiscale LBP Sebastian Hegenbart, Andreas Uhl, Andreas V\'ecsei In Proceedings of Bildverarbeitung für die Medizin 2011 (BVM'11), pp. 359-363, Lübeck, Germany, Informatik aktuell, March 2011
    10. [Hegenbart11b  ] Systematic Assessment of Performance Prediction Techniques in Medical Image Classification - A Case Study on Celiac Disease Sebastian Hegenbart, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 22nd International Conference on Information Processing in Medical Imaging (IPMI'11), pp. 498-508, Monastery Irsee, Germany, Springer LNCS, 6801, July 2011
    11. [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. V\'ecsei, 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
    12. [Hegenbart11c  ] Impact of Endoscopic Image Degradations on LBP based Features using One-Class SVM for Classification of Celiac Disease S. Hegenbart, A. Uhl, A. V\'ecsei In Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis (ISPA'11), pp. 715-720, Dubrovnik, Croatia, Sep. 2011
    13. [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. V\'ecsei 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
    14. [Entacher08a  ] Pith Detection on CT-Cross-Section Images of Logs: An Experimental Comparison K. Entacher, S. Hegenbart, J. Kerschbaumer, C. Lenz, D. Planitzer, M. Seidel, A. Uhl, R. Weiglmaier In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP '08), pp. 478-483, IEEE Press, 2008

    Technical Reports

    1. [Gadermayr14b ] Scale-Adaptive Texture Classification Michael Gadermayr, Sebastian Hegenbart, Andreas Uhl Department of Computer Sciences, University of Salzburg, Austria, Technical Report 2014-01, 2014, http://www.cosy.sbg.ac.at/tr
    2. [Hegenbart13c ] A scale-adaptive Extension to Methods based on LBP using scale-normalized Laplacian of Gaussian Extrema in Scale-space S. Hegenbart, A. Uhl Department of Computer Sciences, University of Salzburg, Austriahttp://uni-salzburg.at/index.php?id=38591, Technical Report 2013-06, 2013

    Theses

    1. [Hegenbart15c  ] On the Computer Assisted Diagnosis of Endoscopic Data with Indication for Celiac Disease Sebastian Hegenbart PhD thesis, Department of Computer Sciences, University of Salzburg, Austria, Jan. 2015
    2. [Hegenbart10a  ] Automated Marsh-like Classification of Celiac Disease in Endoscopic Images using Local Texture Operators based on Local Binary Patterns Sebastian Hegenbart Master thesis, Department of Computer Sciences, University of Salzburg, Austria, July 2010
 

    Errata

    1. [Hegenbart14a ] S. Hegenbart, A. Uhl, "A Scale-Adaptive Extension to Methods based on LBP using Scale-Normalized Laplacian of Gaussian Extrema in Scale-Space", In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing ICASSP '14, 2014