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Georg Wimmer
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2020 – today
- 2024
- [j10]Georg Wimmer
, Rudolf Schraml, Alexander Petutschnigg, Andreas Uhl:
Log cross section quality metrics: Assessing the usability of roundwood image data for roundwood tracking. Comput. Electron. Agric. 221: 108945 (2024) - [c33]Georg Wimmer, Dominik Söllinger, Andreas Uhl:
The Risk of Image Generator-Specific Traces in Synthetic Training Data. VISIGRAPP (3): VISAPP 2024: 199-206 - 2023
- [i6]Simon Kirchgasser, Christof Kauba, Georg Wimmer, Andreas Uhl:
Advanced Image Quality Assessment for Hand- and Fingervein Biometrics. CoRR abs/2302.09973 (2023) - 2022
- [j9]Johannes Schuiki
Attack Detection for Finger and Palm Vein Biometrics by Fusion of Multiple Recognition Algorithms. IEEE Trans. Biom. Behav. Identity Sci. 4(4): 544-555 (2022) - [c32]Bernhard Prommegger, Georg Wimmer, Andreas Uhl:
Cross Sensor Finger Vein Recognition. BIOSIG 2022: 253-260 - [c31]Rudolf Schraml, Georg Wimmer, Heinz Hofbauer, Ehsaneddin Jalilian, Dinara Bekkozhayeva, Petr Císar, Andreas Uhl:
CNN-based fish iris identification. EUSIPCO 2022: 628-632 - [c30]Ehsaneddin Jalilian, Georg Wimmer, Andreas Uhl, Mahmut Karakaya:
Deep Learning Based Off-Angle Iris Recognition. ICASSP 2022: 4048-4052 - [c29]Georg Wimmer
An Analysis of the Use of Hyperspectral Data for Roundwood Tracking. ICCSA (Workshops 3) 2022: 294-307 - [c28]Georg Wimmer
Deep Learning Based Age and Gender Recognition Applied to Finger Vein Images. ICPR Workshops (3) 2022: 582-596 - [c27]Georg Wimmer, Rudolf Schraml, Andreas Uhl, Alexander Petutschnigg:
Roundwood Tracking from the Forest to the Sawmill using filter approaches to highlight the annual ring pattern. ISM 2022: 249-256 - [c26]Bernhard Prommegger
CNN based Finger Region Segmentation for Finger Vein Recognition. IWBF 2022: 1-6 - [i5]Johannes Schuiki, Michael Linortner, Georg Wimmer, Andreas Uhl:
Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores. CoRR abs/2203.08972 (2022) - 2021
- [c25]Bernhard Prommegger, Georg Wimmer, Andreas Uhl:
Rotation Tolerant Finger Vein Recognition using CNNs. BIOSIG 2021: 277-284 - [c24]Johannes Schuiki
Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms. IJCB 2021: 1-7 - [c23]Georg Wimmer
Two-Stage CNN-Based Wood Log Recognition. ICCSA (7) 2021: 115-125 - [c22]Georg Wimmer, Rudolf Schraml, Lukas Lamminger, Alexander Petutschnigg
Cross-Modality Wood Log Tracing. ISM 2021: 191-195 - [i4]Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl:
Two-stage CNN-based wood log recognition. CoRR abs/2101.04450 (2021) - 2020
- [j8]Georg Wimmer, Michael Häfner, Andreas Uhl:
Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos. Comput. Medical Imaging Graph. 86: 101798 (2020) - [c21]Pawel Drozdowski, Bernhard Prommegger
Demographic Bias: A Challenge for Fingervein Recognition Systems? EUSIPCO 2020: 825-829 - [c20]Georg Wimmer, Bernhard Prommegger
Finger Vein Recognition and Intra-Subject Similarity Evaluation of Finger Veins using the CNN Triplet Loss. ICPR 2020: 400-406 - [c19]Bernhard Prommegger
Rotation Detection in Finger Vein Biometrics using CNNs. ICPR 2020: 6531-6537 - [c18]Georg Wimmer, Michael Gadermayr
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. SASHIMI@MICCAI 2020: 131-141 - [i3]Pawel Drozdowski, Bernhard Prommegger, Georg Wimmer, Rudolf Schraml, Christian Rathgeb, Andreas Uhl, Christoph Busch:
Demographic Bias: A Challenge for Fingervein Recognition Systems? CoRR abs/2004.01418 (2020) - [i2]Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl:
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. CoRR abs/2004.12604 (2020)
2010 – 2019
- 2018
- [j7]Michael Gadermayr
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Comput. Biol. Medicine 102: 221-226 (2018) - [j6]Georg Wimmer, Michael Gadermayr, Roland Kwitt
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102: 251-259 (2018) - 2017
- [c17]Michael Gadermayr
Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. ICIAP (2) 2017: 467-478 - [c16]Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toru Tamaki
Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. ISBI 2017: 1044-1048 - [c15]Georg Wimmer, Andreas Uhl, Andreas Vécsei:
Evaluation of domain specific data augmentation techniques for the classification of celiac disease using endoscopic imagery. MMSP 2017: 1-6 - [i1]Jennifer Dutiné, Markus Clemens, Sebastian Schöps, Georg Wimmer:
Explicit Time Integration of Transient Eddy Current Problems. CoRR abs/1701.03009 (2017) - 2016
- [j5]Eduardo Ribeiro
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification. Comput. Math. Methods Medicine 2016: 6584725:1-6584725:16 (2016) - [j4]Georg Wimmer, Toru Tamaki
Directional wavelet based features for colonic polyp classification. Medical Image Anal. 31: 16-36 (2016) - [c14]Georg Wimmer, Andreas Uhl, Michael Häfner:
A novel filterbank especially designed for the classification of colonic polyps. ICPR 2016: 2150-2155 - [c13]Georg Wimmer, Andreas Vécsei, Andreas Uhl:
CNN transfer learning for the automated diagnosis of celiac disease. IPTA 2016: 1-6 - [c12]Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner:
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features. CARE@MICCAI 2016: 1-13 - [c11]Georg Wimmer, Michael Gadermayr, Roland Kwitt
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI 2016: 59-71 - [c10]Georg Wimmer, Sebastian Hegenbart, Andreas Vécsei, Andreas Uhl:
Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease. CARE@MICCAI 2016: 104-113 - 2015
- [j3]Michael Häfner, Toru Tamaki
Local fractal dimension based approaches for colonic polyp classification. Medical Image Anal. 26(1): 92-107 (2015) - [j2]Andreas Uhl, Georg Wimmer:
A systematic evaluation of the scale invariance of texture recognition methods. Pattern Anal. Appl. 18(4): 945-969 (2015) - 2014
- [c9]Michael Häfner, Michael Liedlgruber
Evaluation of super-resolution methods in the context of colonic polyp classification. CBMI 2014: 1-6 - [c8]Georg Wimmer:
Transient magnetic field formulation for solid source conductors with axial symmetry. ICCCN 2014: 1-4 - [c7]Andreas Uhl, Georg Wimmer, Michael Häfner:
Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy. ICIP 2014: 2299-2303 - [c6]Michael Häfner, Michael Liedlgruber
Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification. ICPR 2014: 2739-2744 - 2013
- [j1]Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei
Scale invariant texture descriptors for classifying celiac disease. Medical Image Anal. 17(4): 458-474 (2013) - [c5]Sebastian Hegenbart, Andreas Uhl, Georg Wimmer, Andreas Vécsei:
On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease. CBMS 2013: 137-142 - [c4]Michael Häfner, Andreas Uhl, Georg Wimmer:
A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy. MCV 2013: 205-213 - 2012
- [c3]Sebastian Hegenbart, Stefan Maimone, Andreas Uhl, Andreas Vécsei, Georg Wimmer:
Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images. MCBR-CDS 2012: 99-109 - 2011
- [c2]Andreas Uhl, Andreas Vécsei, Georg Wimmer:
Complex Wavelet Transform Variants in a Scale Invariant Classification of Celiac Disease. IbPRIA 2011: 742-749 - [c1]Andreas Uhl, Andreas Vécsei, Georg Wimmer:
Fractal analysis for the viewpoint invariant classification of celiac disease. ISPA 2011: 727-732
Coauthor Index
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