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Sebastian Hegenbart

Observed names: Hegenbart, Sebastian, S. Hegenbart
ORCID: 0009-0003-2745-1389
Observed ORCID: 0009-0003-2745-1389
OpenAlex ID: A5063481627
Automated Marsh-like classification of celiac disease in children using local texture operators
2011 · A. Vécsei, G. Amann, et al. · Computers in Biology and Medicine · 52
One-Shot Learning of Scene Locations via Feature Trajectory Transfer
2016 · Roland Kwitt, Sebastian Hegenbart, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 51
Scale invariant texture descriptors for classifying celiac disease
2013 · Sebastian Hegenbart, Andreas Uhl, et al. · Medical Image Analysis · 46
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A scale- and orientation-adaptive extension of Local Binary Patterns for texture classification
2015 · Sebastian Hegenbart, Andreas Uhl · Pattern Recognition · 45
Impact of duodenal image capturing techniques and duodenal regions on the performance of automated diagnosis of celiac disease
2009 · S. Hegenbart, R. Kwitt, et al. · International symposium on image and signal processing and analysis/ISPA ... · 29
Survey on computer aided decision support for diagnosis of celiac disease
2015 · Sebastian Hegenbart, Andreas Uhl, et al. · Computers in Biology and Medicine · 28
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Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease
2017 · G. Wimmer, S. Hegenbart, et al. · Lecture notes in computer science · 27
Do We Need Annotation Experts? A Case Study in Celiac Disease Classification
2014 · Roland Kwitt, Sebastian Hegenbart, et al. · Lecture notes in computer science · 26
Systematic Assessment of Performance Prediction Techniques in Medical Image Classification A Case Study on Celiac Disease
2011 · Sebastian Hegenbart, Andreas Uhl, et al. · Lecture notes in computer science · 23
Impact of endoscopic image degradations on LBP based features using one-class SVM for classification of celiac disease
2011 · Sebastian Hegenbart, Andreas Uhl, et al. · 17
Load forecasting for households and energy communities: Are deep learning models worth the effort?
2026 · Lukas Moosbrugger, Valentin Seiler, et al. · Next Energy · 16
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Pith detection on CT-Cross-Section images of logs: An experimental comparison
2008 · K. Entacher, S. Hegenbart, et al. · International Symposium on Communications, Control and Signal Processing · 13
Impact of Histogram Subset Selection on Classification using Multi-scale LBP-Operators
2011 · Sebastian Hegenbart, Andreas Uhl, et al. · Informatik aktuell · 11
Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach
2024 · Philipp Wohlgenannt, Sebastian Hegenbart, et al. · Energies · 10
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A scale-adaptive extension to methods based on LBP using scale-normalized Laplacian of Gaussian extrema in scale-space
2014 · Sebastian Hegenbart, Andreas Uhl · IEEE International Conference on Acoustics Speech and Signal Processing · 9
On the implicit handling of varying distances and gastrointestinal regions in endoscopic video sequences with indication for celiac disease
2012 · Sebastian Hegenbart, Andreas Uhl, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 8
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease?
2016 · M. Gadermayr, S. Hegenbart, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 7
Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images
2013 · Sebastian Hegenbart, Stefan Maimone, et al. · Lecture notes in computer science · 7
Scale-Adaptive Texture Classification
2014 · Michael Gadermayr, Sebastian Hegenbart, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 6
Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015
2015 · Hegenbart, Sebastian, Kwitt, Roland, et al. · arXiv (Cornell University) · 5
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On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease
2013 · S. Hegenbart, A. Uhl, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 4
An Orientation-Adaptive Extension to Scale-Adaptive Local Binary Patterns
2014 · Sebastian Hegenbart, Andreas Uhl · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 3
Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier
2011 · Michael Häfner, Sebastian Hegenbart, et al. · 2
Towards Privacy-Preserving Machine Learning for Energy Prediction in Industrial Robotics: Modeling, Evaluation and Integration
2025 · Adam Skuta, Philipp Steurer, et al. · Machines · 1
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An Affine Invariant Local Ternary Patterns Method
2013 · Sebastian Hegenbart, Andreas Uhl, et al. · 1
Works count: 29
Citation count: 447
H-index: 12
I10-index: 14
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