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Project Description

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.
   

Towards more reliability and less invasiveness in celiac disease diagnosis: Computer-aided detection and assessment of affected mucosa in endoscopic videos (CeliacVideo)

 

Project Description:

CeliacVideo (FWF KLI project 429) is a joint project led by Andreas Vecsei from the St. Anna Children's Hospital in Vienna, where we have the role of a national research partner. Celiac disease (CD) has a prevalence of 1%. To confirm the diagnosis, in children with serologically suspected CD until recently small bowel biopsy was recommended. To avoid biopsies but still reliably prove the diagnosis, a variety of new endoscopic techniques including software for the analysis of endoscopic still images has been developed. If automated analysis-software can detect villous atrophy not only in endoscopic still images but in video clips as well, in such cases, a small bowel biopsy could entirely be avoided. The main question we will try to assess is, if such software can be developed and easily integrated into the routine of pediatric endoscopy. Furthermore, we will examine if the narrow band imaging technique, an optical/digital chromoendoscopy, can further improve the reliability of automated analysis. Various feature extraction and classification strategies will be applied for automated differentiation between presence and absence of villous atrophy in the endoscopic video clips.

 

Project Video:

  
 

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Timeframe:

  • Jan 2015 - May 2018
  
 

Publications:

  1. [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
  2. [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
  3. [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
  4. [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
  5. [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
  6. [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
  7. [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
  8. [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
  9. [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
  10. [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
  11. [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
  12. [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
  13. [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
  14. [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
  15. [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
  16. [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
  17. [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
  18. [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
  19. [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
  20. [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
 
Multimedia Signal Processing
and Security Lab
Thursday, 21-Nov-2024 10:28:51 CET