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ORCIDMichael Liedlgruber
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2010 – 2019
- 2019
[j8]Kalliopi Kyriakou
, Bernd Resch, Günther Sagl, Andreas Petutschnig, Christian Werner, David Niederseer, Michael Liedlgruber, Frank H. Wilhelm, Tess Osborne, Jessica Pykett:
Detecting Moments of Stress from Measurements of Wearable Physiological Sensors. Sensors 19(17): 3805 (2019)- [j7]Günther Sagl, Bernd Resch, Andreas Petutschnig, Kalliopi Kyriakou, Michael Liedlgruber, Frank H. Wilhelm:
Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors. Sensors 19(20): 4448 (2019) - [c22]Michael Liedlgruber, Kevin Butz, Yvonne Höller, Georgi Kuchukhidze, Alexandra Taylor, Aljoscha Thomschevski, Ottavio Tomasi, Eugen Trinka, Andreas Uhl:
Can SPHARM-Based Features from Automated or Manually Segmented Hippocampi Distinguish Between MCI and TLE? SCIA 2019: 465-476 - 2018
- [j6]Jedelyn Cabrieto, Francis Tuerlinckx, Peter Kuppens, Frank H. Wilhelm, Michael Liedlgruber, Eva Ceulemans:
Capturing correlation changes by applying kernel change point detection on the running correlations. Inf. Sci. 447: 117-139 (2018) - [c21]Andreas Uhl, Michael Liedlgruber, Kevin Butz, Yvonne Höller, Georgi Kuchukhidze, Alexandra Taylor, Aljoscha Thomschewski, Ottavio Tomasi, Eugen Trinka:
Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection. Bildverarbeitung für die Medizin 2018: 239-244 - [c20]Michael Liedlgruber, Kevin Butz, Yvonne Höller, Georgi Kuchukhidze, Alexandra Taylor, Ottavio Tomasi, Eugen Trinka, Andreas Uhl:
Lateralisation Matters: Discrimination of TLE and MCI Based on SPHARM Description of Hippocampal Shape. CBMS 2018: 129-134 - 2017
- [c19]Michael Liedlgruber, K. Butz, Yvonne Höller, Georgi Kuchukhidze, Alexandra Taylor, Aljoscha Thomschewski, Ottavio Tomasi, Eugen Trinka, Andreas Uhl:
Pathology-Related Automated Hippocampus Segmentation Accuracy. Bildverarbeitung für die Medizin 2017: 128-133 - 2016
- [c18]Michael Gschwandtner, Yvonne Höller, Michael Liedlgruber, Eugen Trinka, Andreas Uhl:
Assessing Out-of-the-box Software for Automated Hippocampus Segmentation. Bildverarbeitung für die Medizin 2016: 212-217 - [c17]Michael Liedlgruber, K. Butz, Yvonne Höller, Georgi Kuchukhidze, Alexandra Taylor, Ottavio Tomasi, Eugen Trinka, Andreas Uhl:
Variability Issues in Automated Hippocampal Segmentation: A Study on Out-of-the-Box Software and Multi-rater Ground Truth. CBMS 2016: 191-196 - [c16]Michael Liedlgruber, Michael Häfner, Jutta Hämmerle-Uhl, Andreas Uhl:
Texture Description Using Dual Tree Complex Wavelet Packets. PCM (1) 2016: 181-190 - 2015
- [c15]Michael Häfner, Michael Liedlgruber, Andreas Uhl:
Colonic Polyp Classification in High-Definition Video Using Complex Wavelet-Packets. Bildverarbeitung für die Medizin 2015: 365-370 - 2014
- [c14]Michael Häfner, Michael Liedlgruber, Andreas Uhl:
Comparison of Super-Resolution Methods for HD-Video Endoscopy. Bildverarbeitung für die Medizin 2014: 78-83 - [c13]Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer:
Evaluation of super-resolution methods in the context of colonic polyp classification. CBMI 2014: 1-6 - [c12]Michael Häfner, Michael Liedlgruber, Andreas Uhl, Georg Wimmer:
Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification. ICPR 2014: 2739-2744 - 2013
- [j5]Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei:
Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. Comput. Methods Programs Biomed. 112(3): 694-712 (2013) - [c11]Michael Häfner, Michael Liedlgruber, Andreas Uhl:
POCS-based super-resolution for HD endoscopy video frames. CBMS 2013: 185-190 - [c10]Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei:
Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation. ICIAP (1) 2013: 513-522 - [c9]Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei:
Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis. MCV 2013: 175-184 - 2012
- [j4]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. Comput. Methods Programs Biomed. 107(3): 565-581 (2012) - [j3]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 Anal. 16(1): 75-86 (2012) - [c8]Michael Häfner, Michael Liedlgruber, Stefan Maimone, Andreas Uhl, Andreas Vécsei, Friedrich Wrba:
Evaluation of cross-validation protocols for the classification of endoscopic images of colonic polyps. CBMS 2012: 1-6 - [c7]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 - 2011
- [j2]Andreas Vécsei, G. Amann, Sebastian Hegenbart, Michael Liedlgruber, Andreas Uhl:
Automated Marsh-like classification of celiac disease in children using local texture operators. Comput. Biol. Medicine 41(6): 313-325 (2011) - [c6]Michael Liedlgruber, Andreas Uhl, Andreas Vécsei:
Statistical analysis of the impact of distortion (correction) on an automated classification of celiac disease. DSP 2011: 1-6 - [c5]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 - 2010
- [c4]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 - [c3]Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba:
Endoscopic Image Classification Using Edge-Based Features. ICPR 2010: 2724-2727
2000 – 2009
- 2009
- [j1]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. Comput. Methods Programs Biomed. 95(2-S1): 68-78 (2009) - [c2]Michael Häfner, Alfred Gangl, Michael Liedlgruber, Andreas Uhl, Andreas Vécsei, Friedrich Wrba:
Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification. DPS 2009: 1-6 - 2008
- [c1]Jutta Hämmerle-Uhl, Michael Liedlgruber, Andreas Uhl, Hartmut Wernisch:
Multiple re-watermarking using varying wavelet packets. ICME 2008: 213-216
Coauthor Index
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