Journal Articles

1. [Wimmer22b  ] Robustness of texture-based roundwood tracking Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl European Journal of Wood and Wood Products 81, pp. 669-683, 2023
2. [Schuiki22a  ] Attack Detection for Finger and Palm Vein Biometrics by Fusion of Multiple Recognition Algorithms Johannes Schuiki, Michael Linortner, Georg Wimmer, Andreas Uhl IEEE Transactions on Biometrics, Behavior, and Identity Science 4:4, pp. 544-555, 2022
3. [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
4. [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
5. [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
6. [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
7. [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
8. [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
9. [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
10. [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
11. [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
12. [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

Book Chapters

1. [Schuiki23a   ] Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores Johannes Schuiki, Michael Linortner, Georg Wimmer, Andreas Uhl In Sebastien Marcel, Julian Fierrez, Nicholas Evans, editors, Handbook of Biometric Anti-Spoofing: Presentation Attack Detection and Vulnerability Assessment, pp. 467-487, Singapore, Springer Nature Singapore, 2023

Conference Papers

1. [Wimmer24a  ] The risk of image generator-specific traces in synthetic training data Georg Wimmer, Dominik Söllinger, Andreas Uhl In In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, pp. 199-206, 2024
2. [Wimmer22d  ] Deep Learning Based Age and Gender Recognition Applied to Finger Vein Images Georg Wimmer, Bernhard Prommegger, Andreas Uhl In Jean-Jacques Rousseau, Bill Kapralos, editors, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, pp. 582-596, Cham, Lecture Notes on Computer Science, 13645, Springer Nature Switzerland, 2023
3. [Wimmer22c ] Roundwood Tracking from the Forest to the Sawmill using filter approaches to highlight the annual ring pattern Georg Wimmer, Rudolf Schraml, Alexander Petuschnigg, Andreas Uhl In 24th IEEE International Symposium on Multimedia (ISM 2022)2022
4. [Schraml22a  ] CNN-based fish iris identification Rudolf Schraml, Georg Wimmer, Heinz Hofbauer, Ehsaneddin Jalilian, Andreas Uhl, Dinara Bekkozhayeva, Petr Cisar In Proceedings of the 30th European Signal Processing Conference (EUSIPCO 2022)Belgrad, Serbia, Augest 29 - September 2, 2022
5. [Wimmer22a   ] An analysis of the use of hyperspectral data for roundwood tracking Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl In Computational Science and Its Applications - ICCSA 2022 Workshops, pp. 294–307, Malaga, Springer LNCS, 13379, July 4 - July 7, 2022
6. [Jalilian22a     ] Deep Learning Based Off-angle Iris Recognition Ehsaneddin Jalilian, Georg Wimmer, Mahmut Karakaya, Andreas Uhl In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), pp. 4048-4052, Singapore, May 22 - May 27, 2022
7. [Prommegger22a   ] CNN based Finger Region Segmentation for Finger Vein Recognition Georg Wimmer Dominik Söllinger Bernhard Prommegger, Andreas Uhl In Proceedings of the 10th International Workshop on Biometrics and Forensics (IWBF'22), pp. 1-6, Salzburg, Austria, April 20 - April 21, 2022
8. [Prommegger22b ] Finger Rotation Estimation and Correction in Finger Vein Biometrics Bernhard Prommegger, Georg Wimmer, Christof Kauba, Andreas Uhl In European Biometrics Max Snijder, Research, and Industry Awards 2022, pp. 1-6, Salzburg, Austria, September 15, 2022
9. [Prommegger22c  ] Cross Sensor Finger Vein Recognition Bernhard Prommegger, Georg Wimmer, Andreas Uhl In 2022 International Conference of the Biometrics Special Interest Group (BIOSIG'22), pp. 1-5, 2022
10. [Schuiki21b     ] Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms Johannes Schuiki, Georg Wimmer, Andreas Uhl In 2021 IEEE International Joint Conference on Biometrics (IJCB), pp. 1-7, Shenzhen (China), August 04 - August 07, 2021
11. [Wimmer21b   ] Cross-Modality Wood Log Tracing Georg Wimmer, Rudolf Schraml, Lukas Lamminger, Alexander Petutschnigg, Andreas Uhl In Proceedings of the 23rd IEEE International Symposium on Multimedia (ISM 2021), pp. 191-195, 2021
12. [Wimmer21a  ] Two-Stage CNN-Based Wood Log Recognition Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl In Computational Science and Its Applications -- ICCSA 2021, pp. 115-125, Cham, LNCS, 12955, Springer International Publishing, 2021
13. [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
14. [Prommegger21a    ] Rotation Tolerant Finger Vein Recognition using CNNs Bernhard Prommegger, Georg Wimmer, Andreas Uhl In Proceedings of the IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG 2021), pp. 1-8, Darmstadt, Germany, September 16 - September 18, 2021
15. [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
16. [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
17. [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
18. [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
19. [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
20. [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
21. [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
22. [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
23. [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
24. [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
25. [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
26. [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
27. [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
28. [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
29. [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
30. [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
31. [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
32. [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
33. [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
34. [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
35. [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