Multiple re-watermarking using varying wavelet packets. - Jutta Hämmerle-Uhl; Michael Liedlgruber; Andreas Uhl; Hartmut Wernisch (ICME, 2008)

Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification. - Michael Häfner; Alfred Gangl; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (DPS, 2009)

Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors. - Andreas Vécsei; Thomas Fuhrmann; Michael Liedlgruber; Leonhard Brunauer; Hannes Payer; Andreas Uhl (Comput. Methods Programs Biomed., 2009)

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

Endoscopic Image Classification Using Edge-Based Features. - Michael Häfner; Alfred Gangl; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (ICPR, 2010)

Statistical analysis of the impact of distortion (correction) on an automated classification of celiac disease. - Michael Liedlgruber; Andreas Uhl; Andreas Vécsei (DSP, 2011)

Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier. - Michael Häfner; Sebastian Hegenbart; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (ISPA, 2011)

Automated Marsh-like classification of celiac disease in children using local texture operators. - Andreas Vécsei; G. Amann; Sebastian Hegenbart; Michael Liedlgruber; Andreas Uhl (Comput. Biol. Medicine, 2011)

Evaluation of cross-validation protocols for the classification of endoscopic images of colonic polyps. - Michael Häfner; Michael Liedlgruber; Stefan Maimone; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (CBMS, 2012)

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

Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy. - Michael Häfner; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (Comput. Methods Programs Biomed., 2012)

Color treatment in endoscopic image classification using multi-scale local color vector patterns. - Michael Häfner; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (Medical Image Anal., 2012)

POCS-based super-resolution for HD endoscopy video frames. - Michael Häfner; Michael Liedlgruber; Andreas Uhl (CBMS, 2013)

Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation. - Michael Gadermayr; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei (ICIAP (1), 2013)

Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis. - Michael Gadermayr; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei (MCV, 2013)

Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. - Michael Gadermayr; Michael Liedlgruber; Andreas Uhl; Andreas Vécsei (Comput. Methods Programs Biomed., 2013)

Comparison of Super-Resolution Methods for HD-Video Endoscopy. - Michael Häfner; Michael Liedlgruber; Andreas Uhl (Bildverarbeitung für die Medizin, 2014)

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

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

Colonic Polyp Classification in High-Definition Video Using Complex Wavelet-Packets. - Michael Häfner; Michael Liedlgruber; Andreas Uhl (Bildverarbeitung für die Medizin, 2015)

Assessing Out-of-the-box Software for Automated Hippocampus Segmentation. - Michael Gschwandtner; Yvonne Höller; Michael Liedlgruber; Eugen Trinka; Andreas Uhl (Bildverarbeitung für die Medizin, 2016)

Variability Issues in Automated Hippocampal Segmentation: A Study on Out-of-the-Box Software and Multi-rater Ground Truth. - Michael Liedlgruber; K. Butz; Yvonne Höller; Georgi Kuchukhidze; Alexandra Taylor; Ottavio Tomasi; Eugen Trinka; Andreas Uhl (CBMS, 2016)

Texture Description Using Dual Tree Complex Wavelet Packets. - Michael Liedlgruber; Michael Häfner; Jutta Hämmerle-Uhl; Andreas Uhl (PCM (1), 2016)

Pathology-Related Automated Hippocampus Segmentation Accuracy. - Michael Liedlgruber; K. Butz; Yvonne Höller; Georgi Kuchukhidze; Alexandra Taylor; Aljoscha Thomschewski; Ottavio Tomasi; Eugen Trinka; Andreas Uhl (Bildverarbeitung für die Medizin, 2017)

Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection. - Andreas Uhl; Michael Liedlgruber; Kevin Butz; Yvonne Höller; Georgi Kuchukhidze; Alexandra Taylor; Aljoscha Thomschewski; Ottavio Tomasi; Eugen Trinka (Bildverarbeitung für die Medizin, 2018)

Lateralisation Matters: Discrimination of TLE and MCI Based on SPHARM Description of Hippocampal Shape. - Michael Liedlgruber; Kevin Butz; Yvonne Höller; Georgi Kuchukhidze; Alexandra Taylor; Ottavio Tomasi; Eugen Trinka; Andreas Uhl (CBMS, 2018)

Capturing correlation changes by applying kernel change point detection on the running correlations. - Jedelyn Cabrieto; Francis Tuerlinckx; Peter Kuppens; Frank H. Wilhelm; Michael Liedlgruber; Eva Ceulemans (Inf. Sci., 2018)

Can SPHARM-Based Features from Automated or Manually Segmented Hippocampi Distinguish Between MCI and TLE? - Michael Liedlgruber; Kevin Butz; Yvonne Höller; Georgi Kuchukhidze; Alexandra Taylor; Aljoscha Thomschevski; Ottavio Tomasi; Eugen Trinka; Andreas Uhl (SCIA, 2019)

Detecting Moments of Stress from Measurements of Wearable Physiological Sensors. - Kalliopi Kyriakou; Bernd Resch; Günther Sagl; Andreas Petutschnig; Christian Werner; David Niederseer; Michael Liedlgruber; Frank H. Wilhelm; Tess Osborne; Jessica Pykett (Sensors, 2019)

Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors. - Günther Sagl; Bernd Resch; Andreas Petutschnig; Kalliopi Kyriakou; Michael Liedlgruber; Frank H. Wilhelm (Sensors, 2019)