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 V\'ecsei Computer Methods and Programs in Biomedicine 112:3, pp. 694-712, Dec. 2013
2. [Haefner11a  ] Color Treatment in Endoscopic Image Classification using Multi-scale Local Color Vector Patterns M. Häfner, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba Medical Image Analysis 16:1, pp. 75-86, Jan. 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. V\'ecsei, F. Wrba Computer Methods and Programs in Biomedicine 107:3, pp. 565-581, 2012
4. [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
5. [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
6. [Vecsei09a   ] Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors A. V\'ecsei, 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. V\'ecsei, F. Wrba In D.I. Fotiadis A. Papadopoulos T.P. Exarchos, editor, Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications, pp. 335-350, Hershey, PA, USA, IGI Global, 2009

Conference Papers

1. [Liedlgruber19a ] Can SPHARM-Based Features from Automated or Manually Segmented Hippocampi Distinguish Between MCI and TLE? M. Liedlgruber, K. Butz, Y. Höller, G. Kuchukhidze, A. Taylor, O. Tomasi, E. Trinka, A. Uhl In Proceedings of 21st Scandinavian Conference on Image Analysis (SCIA'19), pp. 465-476, Springer Lecture Notes on Computer Science, 11482, 2019
2. [Liedlgruber18b ] Lateralisation Matters: Discrimination of TLE and MCI Based on SPHARM Description of Hippocampal Shape M. Liedlgruber, K. Butz, Y. Höller, G. Kuchukhidze, A. Taylor, O. Tomasi, E. Trinka, A. Uhl In Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems (CBMS'18), pp. 129-134, June 2018
3. [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
4. [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
5. [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, 2016
6. [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
7. [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
8. [Haefner14c  ] Evaluation of Super-Resolution Methods in the Context of Colonic Polyp Classification Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer In Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing (CBMI'14), pp. 1-6, 2014
9. [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
10. [Gadermayr13e   ] Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas V\'ecsei 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
11. [Gadermayr13a   ] Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 9th International Conference on Image Analysis and Processing (ICIAP'13), pp. 513-522, Springer LNCS, 8156, Sep. 2013
12. [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
13. [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 V\'ecsei In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP'12), pp. 158-163, Sep. 2012
14. [Haefner12b  ] Evaluation of Cross-validation Protocols for the Classification of Endoscopic Images of Colonic Polyps M. Häfner, M. Liedlgruber, S. Maimone, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS'12)June 2012
15. [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
16. [Liedlgruber11b  ] Statistical Analysis of the Impact of Distortion (Correction) on an Automated Classification of Celiac Disease Michael Liedlgruber, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'11)Corfu, Greece, July 2011
17. [Gschwandtner10a  ] Experimental Study on the Impact of Endoscope Distortion Correction on Computer-assisted Celiac Disease Diagnosis M. Gschwandtner, M. Liedlgruber, A. Uhl, A. V\'ecsei In Proceedings of the 10th International Conference on Information Technology and Applications in Biomedicine (ITAB'10)Corfu, Greece, November 3 - 5, 2010
18. [Haefner10c  ] Endoscopic Image Classification using Edge-Based Features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pp. 2724-2727, Istanbul, Turkey, Aug. 2010
19. [Haefner10a  ] Classification of endoscopic images using Delaunay triangulation-based edge features M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, 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
20. [Haefner09c  ] Pit Pattern Classification using Extended Local Binary Patterns M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB'09)Larnaca, Cyprus, November 5 - 7, 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. 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
22. [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
23. [Haefner09b  ] Combining Gaussian Markov Random Fields with the Discrete Wavelet Transform for Endoscopic Image Classification M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the 17th International Conference on Digital Signal Processing (DSP'09), pp. 177-182, Santorini, Greece, 2009
24. [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
25. [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
26. [Haefner06a ] Pit pattern classification of zoom-endoscopic colon images using wavelet texture features M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. V\'ecsei, 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
27. [Haefner06c ] Computer-assisted Pit Pattern Analysis of Colonic Lesions M. Häfner, M. Liedlgruber, F. Wrba, A. Gangl, A. V\'ecsei, A. Uhl In Proceedings of the 2006 Digestive Disease Week / ASGELos Angeles, CA, US, may, 2006, poster no. 224417

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