Michael Gadermayr
Michael Gadermayr
Salzburg University of Applied Sciences
Bestätigte E-Mail-Adresse bei lfb.rwth-aachen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease
M Gadermayr, M Liedlgruber, A Uhl, A Vécsei
Computer methods and programs in biomedicine 112 (3), 694-712, 2013
262013
Shape curvature histogram: A shape feature for celiac disease diagnosis
M Gadermayr, M Liedlgruber, A Uhl, A Vécsei
International MICCAI Workshop on Medical Computer Vision, 175-184, 2013
202013
Algorithms for microindentation measurement in automated Vickers hardness testing
M Gadermayr, A Maier, A Uhl
Tenth International Conference on Quality Control by Artificial Vision 8000 …, 2011
142011
Which way round? a study on the performance of stain-translation for segmenting arbitrarily dyed histological images
M Gadermayr, V Appel, BM Klinkhammer, P Boor, D Merhof
International Conference on Medical Image Computing and Computer-Assisted …, 2018
112018
Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis
M Gadermayr, H Kogler, M Karla, D Merhof, A Uhl, A Vécsei
World journal of gastroenterology 22 (31), 7124, 2016
102016
Getting one step closer to fully automatized celiac disease diagnosis
M Gadermayr, A Uhl, A Vécsei
2014 4th International Conference on Image Processing Theory, Tools and …, 2014
92014
Do we need large annotated training data for detection applications in biomedical imaging? A case study in renal glomeruli detection
M Gadermayr, BM Klinkhammer, P Boor, D Merhof
International Workshop on Machine Learning in Medical Imaging, 18-26, 2016
82016
Domain adaptive classification for compensating variability in histopathological whole slide images
M Gadermayr, M Strauch, BM Klinkhammer, S Djudjaj, P Boor, D Merhof
International Conference on Image Analysis and Recognition, 616-622, 2016
82016
Degradation adaptive texture classification
M Gadermayr, A Uhl
2014 IEEE International Conference on Image Processing (ICIP), 2759-2763, 2014
82014
Scale-adaptive texture classification
M Gadermayr, S Hegenbart, A Uhl
2014 22nd International Conference on Pattern Recognition, 2643-2648, 2014
82014
Barrel-type distortion compensated fourier feature extraction
M Gadermayr, A Uhl, A Vécsei
International Symposium on Visual Computing, 50-59, 2013
82013
Robust algorithm for automated microindentation measurement in Vickers hardness testing
M Gadermayr, A Maier, A Uhl
Journal of electronic imaging 21 (2), 021109, 2012
82012
Segmenting renal whole slide images virtually without training data
M Gadermayr, D Eschweiler, A Jeevanesan, BM Klinkhammer, P Boor, ...
Computers in biology and medicine 90, 88-97, 2017
72017
Making texture descriptors invariant to blur
M Gadermayr, A Uhl
EURASIP journal on image and video processing 2016 (1), 14, 2016
72016
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease?
M Gadermayr, S Hegenbart, R Kwitt, A Uhl, A Vécsei
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 355-359, 2016
72016
Quality based information fusion in fully automatized celiac disease diagnosis
M Gadermayr, A Uhl, A Vécsei
German Conference on Pattern Recognition, 666-677, 2014
72014
CNN cascades for segmenting sparse objects in gigapixel whole slide images
M Gadermayr, AK Dombrowski, BM Klinkhammer, P Boor, D Merhof
Computerized Medical Imaging and Graphics 71, 40-48, 2019
62019
A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseases
M Gadermayr, C Disch, M Müller, D Merhof, B Gess
Magnetic resonance imaging 48, 20-26, 2018
62018
CNN cascades for segmenting whole slide images of the kidney
M Gadermayr, AK Dombrowski, BM Klinkhammer, P Boor, D Merhof
arXiv preprint arXiv:1708.00251, 2017
62017
Problems in distortion corrected texture classification and the impact of scale and interpolation
M Gadermayr, M Liedlgruber, A Uhl, A Vécsei
International Conference on Image Analysis and Processing, 513-522, 2013
62013
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