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Friedrich Wrba
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2010 – 2019
- 2012
- [j6]Michael Häfner, Michael Liedlgruber
, Andreas Uhl, Andreas Vécsei
Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy. Comput. Methods Programs Biomed. 107(3): 565-581 (2012) - [j5]Michael Häfner, Michael Liedlgruber
Color treatment in endoscopic image classification using multi-scale local color vector patterns. Medical Image Anal. 16(1): 75-86 (2012) - [j4]Roland Kwitt
Endoscopic image analysis in semantic space. Medical Image Anal. 16(7): 1415-1422 (2012) - [c9]Michael Häfner, Michael Liedlgruber
Evaluation of cross-validation protocols for the classification of endoscopic images of colonic polyps. CBMS 2012: 1-6 - 2011
- [c8]Michael Häfner, Sebastian Hegenbart, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba:
Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier. ISPA 2011: 721-726 - [c7]Roland Kwitt
Learning Pit Pattern Concepts for Gastroenterological Training. MICCAI (3) 2011: 280-287 - 2010
- [j3]Michael Häfner, Leonhard Brunauer, Hannes Payer, Robert Resch, Alfred Gangl, Andreas Uhl, Friedrich Wrba, Andreas Vécsei
Computer-aided classification of zoom-endoscopical images using Fourier filters. IEEE Trans. Inf. Technol. Biomed. 14(4): 958-970 (2010) - [c6]Roland Kwitt
Predicting the histology of colorectal lesions in a probabilistic framework. CVPR Workshops 2010: 103-110 - [c5]Michael Häfner, Alfred Gangl, Michael Liedlgruber
Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features. ICIAR (2) 2010: 131-140 - [c4]Michael Häfner, Alfred Gangl, Michael Liedlgruber
Endoscopic Image Classification Using Edge-Based Features. ICPR 2010: 2724-2727
2000 – 2009
- 2009
- [j2]Michael Häfner, Roland Kwitt
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images. Pattern Anal. Appl. 12(4): 407-413 (2009) - [j1]Michael Häfner, Roland Kwitt
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps. Pattern Recognit. 42(6): 1180-1191 (2009) - [c3]Michael Häfner, Alfred Gangl, Michael Liedlgruber
Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification. DPS 2009: 1-6 - [c2]Michael Häfner, Alfred Gangl, Roland Kwitt
Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts. MICCAI (1) 2009: 247-254 - 2007
- [c1]Michael Häfner, Leonhard Brunauer, Hannes Payer, Robert Resch, Friedrich Wrba, Alfred Gangl, Andreas Vécsei, Andreas Uhl:
Pit Pattern Classification of Zoom-Endoscopical Colon Images Using DCT and FFT. CBMS 2007: 159-164
Coauthor Index
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