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Michael Gadermayr
Michael Gadermayr
Salzburg University of Applied Sciences
Verified email at fh-salzburg.ac.at - Homepage
Title
Cited by
Cited by
Year
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
ME Tschuchnig, GJ Oostingh, M Gadermayr
Patterns 1 (6), 2020
992020
Generative adversarial networks for facilitating stain-independent supervised and unsupervised segmentation: a study on kidney histology
M Gadermayr, L Gupta, V Appel, P Boor, BM Klinkhammer, D Merhof
IEEE transactions on medical imaging 38 (10), 2293-2302, 2019
822019
Anomaly detection in medical imaging-a mini review
ME Tschuchnig, M Gadermayr
Data Science–Analytics and Applications: Proceedings of the 4th …, 2022
682022
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
602019
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
482018
Stain independent segmentation of whole slide images: A case study in renal histology
L Gupta, BM Klinkhammer, P Boor, D Merhof, M Gadermayr
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
382018
GAN-based image enrichment in digital pathology boosts segmentation accuracy
L Gupta, BM Klinkhammer, P Boor, D Merhof, M Gadermayr
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
342019
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
322013
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
282017
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
282017
Shape curvature histogram: A shape feature for celiac disease diagnosis
M Gadermayr, M Liedlgruber, A Uhl, A Vécsei
Medical Computer Vision. Large Data in Medical Imaging: Third International …, 2014
272014
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
262018
Domain‐specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks
M Gadermayr, K Li, M Müller, D Truhn, N Krämer, D Merhof, B Gess
Journal of Magnetic Resonance Imaging 49 (6), 1676-1683, 2019
252019
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential
M Gadermayr, M Tschuchnig
Computerized Medical Imaging and Graphics, 102337, 2024
242024
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
242016
Unsupervisedly training GANs for segmenting digital pathology with automatically generated annotations
M Gadermayr, L Gupta, BM Klinkhammer, P Boor, D Merhof
arXiv preprint arXiv:1805.10059, 2018
232018
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
202011
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis
M Gadermayr, G Wimmer, H Kogler, A Vécsei, D Merhof, A Uhl
Computers in Biology and Medicine 102, 221-226, 2018
152018
Gradual domain adaptation for segmenting whole slide images showing pathological variability
M Gadermayr, D Eschweiler, BM Klinkhammer, P Boor, D Merhof
Image and Signal Processing: 8th International Conference, ICISP 2018 …, 2018
142018
Domain adaptive classification for compensating variability in histopathological whole slide images
M Gadermayr, M Strauch, BM Klinkhammer, S Djudjaj, P Boor, D Merhof
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
142016
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