Michael Liedlgruber

Michael Häfner, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba: Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy. Computer Methods and Programs in Biomedicine 107(3): 565-581 (2012)

Michael Häfner, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba: Color treatment in endoscopic image classification using multi-scale local color vector patterns. Medical Image Analysis 16(1): 75-86 (2012)

Michael Gschwandtner, Jutta Hämmerle-Uhl, Yvonne Höller, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei: Improved endoscope distortion correction does not necessarily enhance mucosa-classification based medical decision support systems. MMSP 2012: 158-163

Andreas Vécsei, G. Amann, Sebastian Hegenbart, Michael Liedlgruber, Andreas Uhl: Automated Marsh-like classification of celiac disease in children using local texture operators. Comp. in Bio. and Med. 41(6): 313-325 (2011)

Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba: Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features. ICIAR (2) 2010: 131-140

Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba: Endoscopic Image Classification Using Edge-Based Features. ICPR 2010: 2724-2727

Andreas Vécsei, Thomas Fuhrmann, Michael Liedlgruber, Leonhard Brunauer, Hannes Payer, Andreas Uhl: Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors. Computer Methods and Programs in Biomedicine 95(2-S1): 68-78 (2009)

Jutta Hämmerle-Uhl, Michael Liedlgruber, Andreas Uhl, Hartmut Wernisch: Multiple re-watermarking using varying wavelet packets. ICME 2008: 213-216