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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 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.
     

Medical Image Analysis and Classification

 

Publications:

  1. [Esmeral22a ] Low-Effort Re-identification Techniques Based on Medical Imagery Threaten Patient Privacy Laura Martinez Esmeral, Andreas Uhl In Proceedings of MIUA 2022: Medical Image Understanding and Analysis, pp. 719–733, Springer LNCS, 13413, 2022
  2. [Esmeral22b ] Patient identification methods based on medical imagery and their impact on patient privacy and open medical data Laura Martinez Esmeral, Andreas Uhl In 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)2022
  3. [Esmeral22c ] Class Activation Maps for the disentanglement and occlusion of identity attributes in medical imagery Laura Martinez Esmeral, Andreas Uhl In IEEE2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'22)2022
  4. [Wimmer20c ] Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl In Simulation and Synthesis in Medical Imaging (SASHIMI'20), pp. 131–141, Cham, Switzerland, LNCS, 12417, Springer International Publishing, 2020
  5. [Wimmer20b  ] Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos Georg Wimmer, Michael Haefner, Andreas Uhl Computerized Medical Imaging and Graphics 86, pp. 101798, 2020
  6. [Hofer20a  ] An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI Christoph Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl Computers in Biology and Medicine 117, pp. 103592, Elsevier, 2020
  7. [Wimmer19a  ] Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging Georg Wimmer, Michael Gadermayr, Gernot Wolkersdoerfer, Roland Kwitt, Toru Tamaki, Jens Tischendorf, Michael Haefner, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl World J Gastroenterol 25:10, pp. 1197-1209, 2019
  8. [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
  9. [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
  10. [Liedlgruber18a ] Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection M. Liedgruber, K. Butz, Yvonne Höller, G. Kuchukhidze, A. Taylor, A. Thomschewski, O. Tomasi, E. Trinka, A. Uhl In Proceedings of Bildverarbeitung für die Medizin 2018 (BVM'18), pp. 239-244, Springer Informatik Aktuell, March 2018
  11. [Wimmer18c  ] Fisher encoding of convolutional neural network features for endoscopic image classification Georg Wimmer, Andreas Vécsei, Michael Häfner, Andreas Uhl Journal of Medical Imaging 5, pp. 5-5-11, 2018
  12. [Wimmer18b  ] CNN training using additionally training data extracted from frames of endoscopic videos Georg Wimmer, Michael Häfner, Andreas Uhl In Proceedings of the OAGM Workshop 2018 (OAGM'18)2018
  13. [Wimmer18a  ] Training of polyp staging systems using mixed imaging modalities Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl Computers in Biology and Medicine 102, pp. 251-259, 2018
  14. [Gadermayr18a  ] Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis M. Gadermayr, G. Wimmer, H. Kogler, A. Vécsei, D. Merhof, A. Uhl Computers in Biology and Medicine 102, pp. 222-226, 2018
  15. [Wimmer17a   ] Evaluation of domain specific data augmentation techniques for the classification of celiac disease using endoscopic imagery Georg Wimmer, Andreas Uhl, Andreas Vecsei In 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), pp. 1-6, :, Oct 2017
  16. [Ribeiro16d  ] Exploring Texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toro Tamaki, J.J.W. Tischendorf, S. Yoshida, S. Tanaka, Andreas Uhl In 14th International IEEE Symposium on Biomedical Imaging (ISBI'17)April 2017
  17. [Liedlgruber17a  ] Pathology-related Automated Hippocampus Segmentation Accuracy M. Liedgruber, K. Butz, Yvonne Höller, G. Kuchukhidze, A. Taylor, A. Thomschewski, O. Tomasi, E. Trinka, A. Uhl In Proceedings of Bildverarbeitung für die Medizin 2017 (BVM'17), pp. 128-133, Springer Informatik Aktuell, March 2017
  18. [Gadermayr2017a  ] Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis Michael Gadermayr, Georg Wimmer, Andreas Uhl, Hubert Kogler, Andreas V\'ecsei, Dorit Merhof In Image Analysis and Processing - ICIAP 2017, pp. 467-478, Springer LNCS, 10485, Springer International Publishing, 2017
  19. [Hofer17b  ] Constructing Shape Spaces from a Topological Perspective Christoph Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Andreas Uhl Eugen Trinka In IPMI2017
  20. [Hofer17c  ] Deep Learning with Topological Signatures C. Hofer, R. Kwitt, M. Niethammer, A. Uhl In NIPS2017
  21. [Hofer17a  ] Simple Domain Adaptation For Cross-Dataset Analyses of Brain MRI Data Christoph Hofer, Roland Kwitt, Yvonne Höller, Andreas Uhl Eugen Trinka In 14th International IEEE Symposium on Biomedical Imaging (ISBI'17), pp. 5 pages, 2017
  22. [Gadermayr17a   ] Degradation adaptive texture classification for real-world application scenarios Michael Gadermayr, Dorit Merhof, Andreas Vecsei, Andreas Uhl Pattern Recognition and Image Analysis 27:1, pp. 66-81, 2017
  23. [Elmer15c ] Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, Rene Thaler, Andreas Uhl, Shigeto Yoshida In Computer-Assisted and Robotic Endoscopy (CARE'15), pp. 1-11, Springer Lecture Notes in Computer Science, 9515, Oct. 2016
  24. [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
  25. [Ribeiro16a  ] Colonic Polyp Classification with Convolutional Neural Networks Eduardo Ribeiro, Andreas Uhl, Michael Häfner In Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems (CBMS'16), pp. 253-258, June 2016
  26. [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
  27. [Elmer16a ] Compression-scenarios for LIRE-based CBIR on colonoscopy data Peter Elmer, Michael Häfner, Toru Tamaki, Shinji Tanaka, Rene Thaler, Andreas Uhl, Shigeto Yoshida In Proceedings of Bildverarbeitung für die Medizin 2016 (BVM'16), pp. 152-157, Springer Informatik Aktuell, March 2016
  28. [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
  29. [Wimmer16e  ] CNN Transfer Learning for the Automated Diagnosis of Celiac Disease (Best Reviewed Papers Session) Georg Wimmer, Andreas V\'ecsei, Andreas Uhl In Proceedings of the sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16), pp. 6 pages, 2016
  30. [Gadermayr16d  ] Incorporating Human Knowledge in Automated Celiac Disease Diagnosis Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vecsei, Andreas Uhl, Dorit Merhof In Proceedings of the sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16), pp. 6 pages, 2016
  31. [Wimmer16d ] Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyp Georg Wimmer, Michael Gadermayr, Roland Kwitt, Andreas Häfner, Dorit Merhof, Andreas Uhl In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE), pp. 59-71, Springer LNCS, 10170, 2016
  32. [Ribeiro16b ] Transfer Learning for Colonic Polyp Classification using Off-the-Shelf CNN Features (Best Paper Award, 3rd Place) Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE'16), pp. 1-13, Springer LNCS, 10170, 2016
  33. [Ribeiro16c  ] Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner Computational and Mathematical Methods in Medicine 2016, pp. Article ID 6584725, Hindawi Publishing Corporation, 2016
  34. [Wimmer16b  ] Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease Georg Wimmer, Andreas Vecsei, Andreas Uhl In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE), pp. 104-113, Springer LNCS, 10170, 2016
  35. [Wimmer16c ] A novel Filterbank especially designed for the Classification of Colonic Polyps Georg Wimmer, Anndreas Vecsei, Andreas Uhl In Proceedings of the 23rd International Conference on pattern Recognition (ICPR), pp. 2150-2155, 2016
  36. [Wimmer16a  ] Directional Wavelet based Features for Colonic Polyp Classification Georg Wimmer, Toru Tamaki, J.J.W. Tischendorf, Michael Häfner, Shinji Tanaka, Shigeto Yoshida, Andreas Uhl Medical Image Analysis 31, pp. 16-36, 2016
  37. [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
  38. [Gadermayr15e  ] Fully Automated Decision Support Systems for Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei Innovation and Research in BioMedical Engineering (IRBM, Special Issue on Medical Image Analysis for Computer Aided Diagnosis) 37:1, pp. 31-39, 2016
  39. [Gadermayr16c  ] Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis Michael Gadermayr, Hubert Kogler, Maximilian Karla, Dorit Merhof, Andreas Uhl, Andreas Vecsei World Journal of Gastroenterology 22:31, pp. 7124-7134, 2016
  40. [Gadermayr16b  ] Making texture descriptors invariant to blur Michael Gadermayr, Andreas Uhl EURASIP Journal on Image and Video Processing 2016:4, 2016
  41. [Gadermayr15d  ] Comparing Endoscopic Imaging Configurations in Computer-Aided Celiac Disease Diagnosis Michael Gadermayr, Hubert Kogler, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 5th IEEE International Conference on Image Processing Theory, Tools and Applications 2015 (IPTA'15), pp. 446-451, Nov. 2015
  42. [Gadermayr15a  ] Dealing with Intra-Class and Intra-Image Variations in Automatic Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of Bildverarbeitung für die Medizin 2015 (BVM'15), pp. 461-466, March 2015
  43. [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
  44. [Haefner15b  ] Local Fractal Dimension based approaches for Colonic Polyp Classification Michael Häfner, Toru Tamaki, Shinji Tanaka, Andreas Uhl, Georg Wimmer, Shigeto Yoshida Medical Image Analysis 26, pp. 92-107, 2015
  45. [Gadermayr15b  ] Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 19th Scandinavian Conference on Image Analysis (SCIA'15), pp. 224-233, Springer LNCS, 9127, 2015
  46. [Gadermayr15c  ] How to Exploit Large Image Data in the Fields of Texture Classification Michael Gadermayr, Andreas Uhl In Proceedings of the IEEE International Conference on Image Processing (ICIP'15)2015, accepted
  47. [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
  48. [Uhl14a  ] A systematic evaluation of the scale invariance of texture recognition methods Andreas Uhl, Georg Wimmer Pattern Analysis and Applications 18, pp. 945-969, Springer London, 2015
  49. [Haefner14d  ] Shape and Size Adapted Local Fractal Dimension for the Classification of Polyps in HD colonoscopy Michael Häfner, Andreas Uhl, Georg Wimmer In Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP'14)Oct. 2014
  50. [Gadermayr14f  ] Degradation Adaptive Texture Classification Michael Gadermayr, Andreas Uhl In Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP'14)Oct. 2014
  51. [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
  52. [Gadermayr14e  ] Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis? Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 8th International Conference on Image and Signal Processing (ICISP'14), pp. 620-628, Springer LNCS, 8509, July 2014
  53. [Gadermayr14a  ] The Effect of Endoscopic Lens Distortion Correction on Physicians' Diagnosis Performance Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of Bildverarbeitung für die Medizin 2014 (BVM'14), pp. 174-179, Aachen, Germany, Springer Informatik aktuell, March 2014
  54. [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
  55. [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
  56. [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
  57. [Haefner13c  ] A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy A. Häfner, A. Uhl, G. Wimmer In Medical Computer Vision. Large Data in Medical Imaging (Proceedings of the 3rd International MICCAI - MCV Workshop 2013), pp. 205-213, Springer LNCS, 8331, 2014
  58. [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
  59. [Gadermayr13f  ] Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization (Runner-up for Best Paper Award) Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Medical Computer Vision. Large Data in Medical Imaging (Proceedings of the 3rd International MICCAI - MCV Workshop 2013), pp. 196-204, Springer LNCS, 8331, 2014
  60. [Gadermayr14h  ] Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings new Insight Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of the International Conference on Image Analysis and Recognition (ICIAR'14), pp. 263-273, Springer LNCS, 8815, 2014
  61. [Gadermayr14i  ] Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of the German Conference on Pattern Recognition (GCPR'14), pp. 1-12, Springer LNCS, 8753, 2014
  62. [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
  63. [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
  64. [Gadermayr13c  ] Barrel-Type Distortion Compensated Fourier Feature Extraction Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 9th International Symposium on Visual Computing (ISVC'13), pp. 50-59, Springer LNCS, 8033, July 2013
  65. [Gadermayr13b  ] Distortion Adaptive Image Classification - an Alternative to Barrel-Type Distortion Correction Michael Gadermayr, Andreas Uhl, Andreas V\'ecsei In Proceedings of the 9th International Symposium on Visual Computing (ISVC'13), pp. 465-474, Springer LNCS, 8034, July 2013
  66. [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
  67. [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
  68. [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
  69. [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
  70. [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
  71. [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
  72. [Haemmerle12d ] Endoscope distortion correction does not (easily) improve mocusa-based classification of celiac disease Jutta Hämmerle-Uhl, Yvonne Höller, Andreas Uhl, Andreas V\'ecsei In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012, pp. 574-581, Springer Lecture Notes in Computer Science, 7512, Sep. 2012
  73. [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
  74. [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
  75. [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
  76. [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
  77. [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
  78. [Kwitt12a ] Endoscopic image analysis in semantic space R. Kwitt, N. Vasconcelos, N. Rasiwasia, A. Uhl, B. Davis, M. Häfner, F. Wrba Medical Image Analysis 16, pp. 1415-1422, 2012
  79. [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
  80. [Uhl11a  ] Complex Wavelet Transform Variants in a Scale Invariant Classification of Celiac Disease A. Uhl, A. V\'ecsei, G. Wimmer In J. Vitria, J. M. Sanches, M. Hernandez, editors, Proceedings of the 5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2011), pp. 742-749, Las Palmas de Gran Canaria, Spain, LNCS, 6669, Springer Verlag, June 2011
  81. [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
  82. [Uhl11b  ] Fractal Analysis for the Viewpoint Invariant Classification of Celiac Disease A. Uhl, A. V\'ecsei, G. Wimmer In Proceedings of the 7th International Symposium on Image and Signal Processing (ISPA 2011), pp. 727 -732, Dubrovnik, Croatia, September 4 - 6, 2011
  83. [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
  84. [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
  85. [Kwitt11b  ] Testing a Multivariate Model for Wavelet Coefficients Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege In Proceedings of the IEEE International Conference on Image Processing (ICIP '11), pp. 1277-1280, Brussels, Belgium, September 11 - 14, 2011
  86. [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
  87. [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
  88. [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
  89. [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
  90. [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
  91. [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
  92. [Uhl10a  ] Complex Wavelet Transform variants and Discrete Cosine Transform for scale invariance in magnification-endoscopy image classification M. Häfner, A. Uhl, A. Vécsei, G. Wimmer, F. Wrba In 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), pp. 1-5, Nov 2010
  93. [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
  94. [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
  95. [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
  96. [Kwitt10b  ] Predicting the Histology of Colorectal Lesions in a Probabilistic Framework R. Kwitt, A. Uhl, M. Häfner, A. Gangl, F. Wrba, A. V\'ecsei 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
  97. [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
  98. [Kwitt10d  ] Statistical Modeling in the Wavelet Domain and Applications R. Kwitt PhD thesis, University of Salzburg, Salzburg, Austria, April 2010
  99. [Kwitt09g  ] Lightweight Probabilistic Image Retrieval R. Kwitt, A. Uhl IEEE Transactions on Image Processing 19:1, pp. 241-253, Jan. 2010
  100. [Haefner10b ] Computer-aided Classification of Zoom-Endoscopical Images using Fourier Filters M. Häfner, L. Brunauer, H. Payer, R. Resch, A. Gangl, A. Uhl, A. V\'ecsei, F. Wrba IEEE Transactions on Information Technology in Biomedicine 14:4, pp. 958-970, 2010
  101. [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. V\'ecsei Pattern Analysis and Applications 12:4, pp. 407-413, Springer, Dec. 2009
  102. [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
  103. [Kwitt09f  ] A Joint Model of Complex Wavelet Coefficients for Texture Retrieval R. Kwitt, A. Uhl In Proceedings of the IEEE International Conference on Image Processing (ICIP '09), pp. 1877-1880, Cairo, Egypt, November 7 - 11, 2009
  104. [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
  105. [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
  106. [Kwitt09c  ] Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts M. Häfner, A. Gangl, R. Kwitt, A. Uhl, A. V\'ecsei, F. Wrba In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), pp. 247-254, London, UK, 2009
  107. [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
  108. [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
  109. [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
  110. [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
  111. [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. V\'ecsei Pattern Recognition 42:6, pp. 1180-1191, Elsevier Ltd., Sep. 2008
  112. [Haefner08a  ] One-Against-One Classification for Zoom-Endoscopy Images M. Häfner, R. Kwitt, F. Wrba, A. Gangl, A. V\'ecsei, 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
  113. [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
  114. [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
  115. [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
  116. [Vecsei08a ] Towards automated diagnosis of celiac disease by computer-assisted classification of duodenal imagery A. V\'ecsei, 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
  117. [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
  118. [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. V\'ecsei, 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
  119. [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. V\'ecsei, 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
  120. [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
  121. [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. V\'ecsei, 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
  122. [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
  123. [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
  124. [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. V\'ecsei, A. Uhl In Johannes R. Sveinsson, editor, Proceedings of the 7th Nordic Signal Processing Symposium (NORSIG 2006), pp. 58-61, Reykjavik, Iceland, June 2006
  125. [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
  126. [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
 
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