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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 am a PhD student in the wavelab group. I am currently working on scale invariant methods for medical image processing.

 
 

Research Interests:

  • Medical image classification
  • Texture classification

 
 

Publications:

    Journal Articles

    1. [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
    2. [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
    3. [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
    4. [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
    5. [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. [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, accepted
    2. [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
    3. [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
    4. [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)2016, accepted
    5. [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
    6. [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
    7. [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
    8. [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
    9. [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
    10. [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
    11. [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
    12. [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
    13. [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
    14. [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