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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 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.
 
 Portrait Photo  
Firstname:  Georg
Lastname:  Wimmer
Born: 
Room No:  1.13
Telephone:  ---
Mail:  gwimmer@cosy.sbg.ac.at
Homepage: www.cosy.sbg.ac.at/

Georg Wimmer

 
 

About Me:
I work as PostDoc in the wavelab group. I worked for a long time on computer assisted diagnosis systems. Now i work in the biometric field.

 
 

Research Interests:

  • Medical image classification
  • Biometric recognition systems

 
 

Publications:

    Journal Articles

    1. [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
    2. [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
    3. [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
    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. [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
    6. [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
    7. [Ribeiro16c  ] Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification E. Ribeiro, A. Uhl, G. Wimmer, M. Häfner Computational and Mathematical Methods in Medicine 2016, pp. Article ID 6584725, Hindawi Publishing Corporation, 2016
    8. [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
    9. [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
    10. [Hegenbart13a   ] Scale invariant texture descriptors for classifying celiac disease Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei, Georg Wimmer Medical Image Analysis 17:4, pp. 458-474, 2013

    Conference Papers

    1. [Drozdowski20a   ] Demographic Bias: A Challenge for Fingervein Recognition Systems? Pawel Drozdowski, Bernhard Prommegger, Georg Wimmer, Rudolf Schraml, Christian Rathgeb, Andreas Uhl, Christoph Busch In 2020 28th European Signal Processing Conference (EUSIPCO), pp. 825-829, Amsterdam, The Nederlands, 2021
    2. [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
    3. [Wimmer20a   ] Finger Vein Recognition and Intra-Subject Similarity Evaluation of Finger Veins using the CNN Triplet Loss Georg Wimmer, Bernhard Prommegger, Andreas Uhl In Proceedings of the 25th International Conference on Pattern Recognition (ICPR), pp. 400-406, 2020
    4. [Prommegger20c     ] Rotation Detection in Finger Vein Biometrics using CNNs Bernhard Prommegger, Georg Wimmer, Andreas Uhl In Proceedings of the 25th International Conference on Pattern Recognition (ICPR), pp. 6531-6537, 2020
    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. [Wimmer17a   ] Evaluation of domain specific data augmentation techniques for the classification of celiac disease using endoscopic imagery G. Wimmer, A. Uhl, A. Vecsei In 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), pp. 1-6, :, Oct 2017
    7. [Ribeiro16d  ] Exploring Texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks E. Ribeiro, M. Häfner, G. Wimmer, T. Tamaki, J.J.W. Tischendorf, S. Yoshida, S. Tanaka, A. Uhl In 14th International IEEE Symposium on Biomedical Imaging (ISBI'17)April 2017
    8. [Gadermayr2017a  ] Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis Michael Gadermayr, Georg Wimmer, Andreas Uhl, Hubert Kogler, Andreas Vécsei, Dorit Merhof In Image Analysis and Processing - ICIAP 2017, pp. 467-478, Springer LNCS, 10485, Springer International Publishing, 2017
    9. [Wimmer16e  ] CNN Transfer Learning for the Automated Diagnosis of Celiac Disease (Best Reviewed Papers Session) G. Wimmer, A. Vécsei, A. Uhl In Proceedings of the sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16), pp. 6 pages, 2016
    10. [Wimmer16d ] Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyp G. Wimmer, M. Gadermayr, R. Kwitt, A. Häfner, D. Merhof, A. Uhl In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE), pp. 59-71, Springer LNCS, 10170, 2016
    11. [Wimmer16c ] A novel Filterbank especially designed for the Classification of Colonic Polyps G. Wimmer, A. Vecsei, A. Uhl In Proceedings of the 23rd International Conference on pattern Recognition (ICPR), pp. 2150-2155, 2016
    12. [Wimmer16b  ] Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease G. Wimmer, A. Vecsei, A. Uhl In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE), pp. 104-113, Springer LNCS, 10170, 2016
    13. [Ribeiro16b ] Transfer Learning for Colonic Polyp Classification using Off-the-Shelf CNN Features (Best Paper Award, 3rd Place) E. Ribeiro, A. Uhl, G. Wimmer, M. Häfner In Proceedings of the 3rd International Workshop on Computer-Assisted and Robotic Endoscopy (CARE'16), pp. 1-13, Springer LNCS, 10170, 2016
    14. [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
    15. [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
    16. [Haefner14c  ] Evaluation of Super-Resolution Methods in the Context of Colonic Polyp Classification M. Häfner, M. Liedlgruber, A. Uhl, G. Wimmer In Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing (CBMI'14), pp. 1-6, 2014
    17. [Haefner14d  ] Shape and Size Adapted Local Fractal Dimension for the Classification of Polyps in HD colonoscopy M. Häfner, A. Uhl, G. Wimmer In Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP'14)Oct. 2014
    18. [Hegenbart13b ] On the Effects of De-Interlacing on the Classification Accuracy of Interlaced Endoscopic Videos with Indication for Celiac Disease Sebastian Hegenbart, Andreas Vécsei, Andreas Uhl, Georg Wimmer In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS'13)June 2013
    19. [Hegenbart12b  ] Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images Sebastian Hegenbart, Stefan Maimone, Andreas Uhl, Andreas Vécsei, Georg Wimmer In Medical Content-Based Retrieval for Clinical Decision Support, pp. 99-109, Springer Lecture Notes in Computer Science, 7723, Oct. 2012
    20. [Uhl11a  ] Complex Wavelet Transform Variants in a Scale Invariant Classification of Celiac Disease A. Uhl, A. Vécsei, 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
    21. [Uhl11b  ] Fractal Analysis for the Viewpoint Invariant Classification of Celiac Disease A. Uhl, A. Vécsei, 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