Complex Wavelet Transform Variants in a Scale Invariant Classification of Celiac Disease. - Andreas Uhl; Andreas Vécsei; Georg Wimmer (IbPRIA, 2011)

Fractal analysis for the viewpoint invariant classification of celiac disease. - Andreas Uhl; Andreas Vécsei; Georg Wimmer (ISPA, 2011)

Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images. - Sebastian Hegenbart; Stefan Maimone; Andreas Uhl; Andreas Vécsei; Georg Wimmer (MCBR-CDS, 2012)

On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease. - Sebastian Hegenbart; Andreas Uhl; Georg Wimmer; Andreas Vécsei (CBMS, 2013)

A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy. - Michael Häfner; Andreas Uhl; Georg Wimmer (MCV, 2013)

Scale invariant texture descriptors for classifying celiac disease. - Sebastian Hegenbart; Andreas Uhl; Andreas Vécsei; Georg Wimmer (Medical Image Anal., 2013)

Evaluation of super-resolution methods in the context of colonic polyp classification. - Michael Häfner; Michael Liedlgruber; Andreas Uhl; Georg Wimmer (CBMI, 2014)

Transient magnetic field formulation for solid source conductors with axial symmetry. - Georg Wimmer (ICCCN, 2014)

Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy. - Andreas Uhl; Georg Wimmer; Michael Häfner (ICIP, 2014)

Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification. - Michael Häfner; Michael Liedlgruber; Andreas Uhl; Georg Wimmer (ICPR, 2014)

Local fractal dimension based approaches for colonic polyp classification. - Michael Häfner; Toru Tamaki; Shinji Tanaka; Andreas Uhl; Georg Wimmer; Shigeto Yoshida (Medical Image Anal., 2015)

A systematic evaluation of the scale invariance of texture recognition methods. - Andreas Uhl; Georg Wimmer (Pattern Anal. Appl., 2015)

A novel filterbank especially designed for the classification of colonic polyps. - Georg Wimmer; Andreas Uhl; Michael Häfner (ICPR, 2016)

CNN transfer learning for the automated diagnosis of celiac disease. - Georg Wimmer; Andreas Vécsei; Andreas Uhl (IPTA, 2016)

Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features. - Eduardo Ribeiro; Andreas Uhl; Georg Wimmer; Michael Häfner (CARE@MICCAI, 2016)

Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. - Georg Wimmer; Michael Gadermayr; Roland Kwitt; Michael Häfner; Dorit Merhof; Andreas Uhl (CARE@MICCAI, 2016)

Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease. - Georg Wimmer; Sebastian Hegenbart; Andreas Vécsei; Andreas Uhl (CARE@MICCAI, 2016)

Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification. - Eduardo Ribeiro; Andreas Uhl; Georg Wimmer; Michael Häfner (Comput. Math. Methods Medicine, 2016)

Directional wavelet based features for colonic polyp classification. - Georg Wimmer; Toru Tamaki; Jens J. W. Tischendorf; Michael Häfner; Shigeto Yoshida; Shinji Tanaka; Andreas Uhl (Medical Image Anal., 2016)

Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. - Michael Gadermayr; Georg Wimmer; Andreas Uhl; Hubert Kogler; Andreas Vécsei; Dorit Merhof (ICIAP (2), 2017)

Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. - Eduardo Ribeiro; Michael Häfner; Georg Wimmer; Toru Tamaki; Jens J. W. Tischendorf; Shigeto Yoshida; Shinji Tanaka; Andreas Uhl (ISBI, 2017)

Evaluation of domain specific data augmentation techniques for the classification of celiac disease using endoscopic imagery. - Georg Wimmer; Andreas Uhl; Andreas Vécsei (MMSP, 2017)

Explicit Time Integration of Transient Eddy Current Problems. - Jennifer Dutiné; Markus Clemens; Sebastian Schöps; Georg Wimmer (CoRR, 2017)

Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. - Michael Gadermayr; Georg Wimmer; Hubert Kogler; Andreas Vécsei; Dorit Merhof; Andreas Uhl (Comput. Biol. Medicine, 2018)

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 (Comput. Biol. Medicine, 2018)

Demographic Bias: A Challenge for Fingervein Recognition Systems? - Pawel Drozdowski; Bernhard Prommegger; Georg Wimmer; Rudolf Schraml; Christian Rathgeb; Andreas Uhl; Christoph Busch 001 (EUSIPCO, 2020)

Rotation Detection in Finger Vein Biometrics using CNNs. - Bernhard Prommegger; Georg Wimmer; Andreas Uhl (ICPR, 2020)

Finger Vein Recognition and Intra-Subject Similarity Evaluation of Finger Veins using the CNN Triplet Loss. - Georg Wimmer; Bernhard Prommegger; Andreas Uhl (ICPR, 2020)

Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. - Georg Wimmer; Michael Gadermayr; Andreas Vécsei; Andreas Uhl (SASHIMI@MICCAI, 2020)

Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos. - Georg Wimmer; Michael Häfner; Andreas Uhl (Comput. Medical Imaging Graph., 2020)

Rotation Tolerant Finger Vein Recognition using CNNs. - Bernhard Prommegger; Georg Wimmer; Andreas Uhl (BIOSIG, 2021)

Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms. - Johannes Schuiki; Georg Wimmer; Andreas Uhl (IJCB, 2021)

Two-Stage CNN-Based Wood Log Recognition. - Georg Wimmer; Rudolf Schraml; Heinz Hofbauer; Alexander Petutschnigg; Andreas Uhl (ICCSA (7), 2021)

Cross-Modality Wood Log Tracing. - Georg Wimmer; Rudolf Schraml; Lukas Lamminger; Alexander Petutschnigg; Andreas Uhl (ISM, 2021)

Cross Sensor Finger Vein Recognition. - Bernhard Prommegger; Georg Wimmer; Andreas Uhl (BIOSIG, 2022)

CNN-based fish iris identification. - Rudolf Schraml; Georg Wimmer; Heinz Hofbauer; Ehsaneddin Jalilian; Dinara Bekkozhayeva; Petr Císar; Andreas Uhl (EUSIPCO, 2022)

Deep Learning Based Off-Angle Iris Recognition. - Ehsaneddin Jalilian; Georg Wimmer; Andreas Uhl; Mahmut Karakaya (ICASSP, 2022)

An Analysis of the Use of Hyperspectral Data for Roundwood Tracking. - Georg Wimmer; Rudolf Schraml; Heinz Hofbauer; Alexander Petutschnigg; Andreas Uhl (ICCSA (Workshops 3), 2022)

Deep Learning Based Age and Gender Recognition Applied to Finger Vein Images. - Georg Wimmer; Bernhard Prommegger; Andreas Uhl (ICPR Workshops (3), 2022)

Roundwood Tracking from the Forest to the Sawmill using filter approaches to highlight the annual ring pattern. - Georg Wimmer; Rudolf Schraml; Andreas Uhl; Alexander Petutschnigg (ISM, 2022)

CNN based Finger Region Segmentation for Finger Vein Recognition. - Bernhard Prommegger; Dominik Söllinger; Georg Wimmer; Andreas Uhl (IWBF, 2022)

Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores. - Johannes Schuiki; Michael Linortner; Georg Wimmer; Andreas Uhl (CoRR, 2022)

Attack Detection for Finger and Palm Vein Biometrics by Fusion of Multiple Recognition Algorithms. - Johannes Schuiki; Michael Linortner; Georg Wimmer; Andreas Uhl (IEEE Trans. Biom. Behav. Identity Sci., 2022)

Advanced Image Quality Assessment for Hand- and Fingervein Biometrics. - Simon Kirchgasser; Christof Kauba; Georg Wimmer; Andreas Uhl (CoRR, 2023)

The Risk of Image Generator-Specific Traces in Synthetic Training Data. - Georg Wimmer; Dominik Söllinger; Andreas Uhl (VISIGRAPP (3): VISAPP, 2024)

Log cross section quality metrics: Assessing the usability of roundwood image data for roundwood tracking. - Georg Wimmer; Rudolf Schraml; Alexander Petutschnigg; Andreas Uhl (Comput. Electron. Agric., 2024)