Lehrstuhl

Michael Gadermayr

Dr.

Michael Gadermayr

Gastwissenschaftler

Telefon: +49 241 80 27860

Kontaktdaten Salzburg:
Telefon: +43 50 2211-1341
Webseite: https://its.fh-salzburg.ac.at/ueber-uns/lehrende/detail/gadermayr/

Curriculum Vitae

Okt 2015 – Sep 2018	PostDoc, Lehrstuhl für Bildgebung und Bildverarbeitung, RWTH Aachen
Juni 2012 – Sep 2015	Doktoratsstudium der Informatik (Dr.techn.), Universität Salzburg
Okt 2010 – Mai 2012	Studium der Informatik (Dipl.-Ing.), Universität Salzburg
Okt 2007 – Sep 2010	Studium der Informatik (B.Eng.), Universität Salzburg

Journal-Veröffentlichungen

2022article
Laxmi Gupta, Barbara Mara Klinkhammer, Claudia Seikrit, Nina Fan, Nassim Bouteldja, Philipp Gräbel, Michael Gadermayr, Peter Boor and Dorit Merhof
Large-scale extraction of interpretable features provides new insights into kidney histopathology – a proof-of-concept study
In: Journal of Pathology Informatics
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2021article
Michael Gadermayr, Lotte Heckmann, Kexin Li, Friederike Bähr, Madlaine Müller, Daniel Truhn, Dorit Merhof and Burkhard Gess
Image-to-Image Translation for Simplified MRI Muscle Segmentation
In: Frontiers in Radiology
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2019article
Michael Gadermayr, Kexin Li, Madlaine Müller, Daniel Truhn, Nils Krämer, Dorit Merhof and Burkhard Gess
Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks
In: Journal of Magnetic Resonance Imaging 49 (6), S. 1676-1683
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2019article
Georg Wimmer, Michael Gadermayr, Gernot Wolkersdörfer, Roland Kwitt, Toru Tamaki, Jens Tischendorf, Michael Häfner, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof and Andreas Uhl
Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging
In: World Journal of Gastroenterology
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2019article
Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer and Dorit Merhof
Generative Adversarial Networks for Facilitating Stain-Independent Supervised & Unsupervised Segmentation: A Study on Kidney Histology
In: IEEE Transactions on Medical Imaging
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2019article
Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
CNN Cascades for Segmenting Sparse Objects in Gigapixel Whole Slide Images
In: Computerized Medical Imaging and Graphics 71, S. 40-48
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2018article
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida Shinji Tanaka, Dorit Merhof and Andreas Uhl
Training of Polyp Staging Systems using Mixed Imaging Modalities
In: Computers in Biology and Medicine
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2018article
Michael Gadermayr, Georg Wimmer, Hubert Kogler, Andreas Vécsei, Dorit Merhof and Andreas Uhl
Automated Classification of Celiac Disease During Upper Endoscopy: Status Quo and Quo Vadis
In: Computers in Biology and Medicine
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2018article
Michael Gadermayr, Constantin Disch, Madlaine Müller, Dorit Merhof and Burkhard Gess
A Comprehensive Study on Automated Muscle Segmentation for Assessing Fat Infiltration in Neuromuscular Diseases
In: Magnetic Reconance Imaging (MRI) 48, S. 20--46, Elsevier
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2017article
Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
Segmenting Renal Whole Slide Images Virtually Without Training Data
In: Computers in Biology and Medicine 90, S. 88--97, Elsevier
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2017article
Michael Gadermayr, Dorit Merhof, Andreas Vécsei and Andreas Uhl
Degradation Adaptive Texture Classification for Real-World Application Scenarios
In: Pattern Recognition and Image Analysis 27 (1), S. 66--81, Springer
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2016article
Michael Gadermayr, Hubert Kogler, Maximilian Karla, Dorit Merhof, Andreas Uhl and Andreas Vécsei
Computer-aided texture analysis combined with experts’ knowledge: Improving endoscopic celiac disease diagnosis
In: World Journal of Gastroenterology (WJG) 22 (31), S. 7124--34
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2016article
Michael Gadermayr and Andreas Uhl
Making Texture Descriptors Invariant to Blur
In: EURASIP Journal on Image and Video Processing 2016 (1), S. article 14 (9 pages), Springer
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	2013	Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, and Andreas Vecsei Evaluation of dierent distortion correction methods and interpolation techniques for an automated classication of celiac disease In: Computer Methods and Programs in Biomedicine, 112(3):694-712
	2013	Michael Gadermayr, Andreas Maier, and Andreas Uhl Active contours methods with respect to vickers indentations In: Machine Vision and Applications, 24(6):1183-1196
	2012	Michael Gadermayr, Andreas Maier, and Andreas Uhl Robust algorithm for automated microindentation measurement in Vickers hardness testing In: Journal of Electronic Imaging, 21:021109

Konferenz-Veröffentlichungen

2021inproceedings
Michael Gadermayr, Maximilian Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof and Burkhard Gess
An asymmetric cycle-consistency loss for dealing with many-to-one mappings in image translation: a study on thigh MR scans
In: IEEE International Symposium on Biomedical Imaging (ISBI)
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2019inproceedings
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
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2019inproceedings
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology
In: 2nd International Conference on Medical Imaging with Deep Learning (MIDL)
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2019incollection
Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
In: 2nd International Conference on Medical Imaging with Deep Learning (MIDL)
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2018inproceedings
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr
Stain Independent Segmentation of Whole Slide Images: A Case Study in Renal Histology
In: IEEE International Symposium on Biomedical Imaging (ISBI)
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2018inproceedings
Michael Gadermayr, Vitus Appel, Barbara M. Klinkhammer, Peter Boor and Dorit Merhof
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), S. 165-173
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2018inproceedings
Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability
In: International Conference on Image and Signal Processing (ICISP), S. 461-469
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2017inproceedings
Michael Gadermayr, Sean Steven Cooper, Barbara Klinkhammer, Peter Boor and Dorit Merhof
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney
In: German Conference on Pattern Recognition (GCPR), S. 3-13
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2017inproceedings
Michael Gadermayr, Georg Wimmer, Andreas Uhl, Hubert Kogler, Andreas Vécsei and Dorit Merhof
Fully-Automated CNN-based Computer Aided Celiac Disease Diagnosis
In: International Conference on Image Analysis and Processing (ICIAP), S. 467-478
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2016inproceedings
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Hüfner, Dorit Merhof and Andreas Uhl
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps
In: MICCAI Workshop on Computer-Assisted and Robotic Endoscopy (CARE), S. 59-71
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2016inproceedings
Michael Gadermayr, Hubert Kogler, Maximilian Karla, Andreas Vécsei, Andreas Uhl and Dorit Merhof
Incorporating Human Knowledge in Automated Celiac Disease Diagnosis
In: IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), S. 1-6
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2016inproceedings
Michael Gadermayr, Barbara M. Klinkhammer, Peter Boor and Dorit Merhof
Do we Need Large Annotated Training Data for Detection Applications in Biomedical Image Data? A Case Study in Renal Glomeruli Detection
In: MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), S. 18-26, Springer International Publishing
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2016inproceedings
Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor and Dorit Merhof
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images
In: International Conference on Image Analysis and Recognition (ICIAR), S. 616-622, Springer
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2016inproceedings
Michael Gadermayr, Sebastian Hegenbart, Roland Kwitt, Andreas Uhl and Andreas Vécsei
Narrow Band Imaging Versus White-Light: What is best for Computer-Assisted Diagnosis of Celiac Disease?
In: IEEE International Symposium on Biomedical Imaging (ISBI), S. 355-359, IEEE
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2016inproceedings
Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger and Dorit Merhof
A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model
In: 6th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), S. 105-109, EuroGraphics
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	2015	Michael Gadermayr and Andreas Uhl How to exploit large image data in the fields of texture classication In: Proceedings of the IEEE International Conference on Image Processing (ICIP’15)
	2015	Michael Gadermayr, Hubert Kogler, Andreas Uhl, and Andreas Vecsei Comparing endoscopic imaging congurations in computer-aided celiac disease diagnosis In: Proceedings of the 5th IEEE International Conference on Image Processing Theory, Tools and Applications 2015 (IPTA’15)
	2015	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Dealing with intraclass and intra-image variations in automatic celiac disease diagnosis In: Proceedings of Bildverarbeitung fur die Medizin 2015 (BVM’15)
	2015	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Boosting smalldata performance of lbp: A case study in celiac disease diagnosis In: Proceedings of the 19th Scandinavian Conference on Image Analysis (SCIA’15), volume 9127 of Springer LNCS
	2014	Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, and Andreas Vecsei Shape curvature histogram: A shape feature for celiac disease diagnosis In: Medical Computer Vision. Large Data in Medical Imaging (Proceedings of the 3rd International MICCAI – MCV Workshop 2013), volume 8331 of Springer LNCS
	2014	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Feature extraction with intrinsic distortion correction in celiac disease imagery: No need for rasterization In: Medical Computer Vision. Large Data in Medical Imaging (Proceedings of the 3rd International MICCAI – MCV Workshop 2013), volume 8331 of Springer LNCS
	2014	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei The efect of endoscopic lens distortion correction on physicians‘ diagnosis performance In: Proceedings of Bildverarbeitung fur die Medizin 2014 (BVM’14), Springer Informatik aktuell
	2014	Michael Gadermayr, Sebastian Hegenbart, and Andreas Uhl Scale-adaptive texture classication In: Proceedings of 22nd IEEE International Conference on Pattern Recognition (ICPR’14)
	2014	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Is a precise distortion estimation needed for computer aided celiac disease diagnosis? In: Proceedings of the 8th International Conference on Image and Signal Processing (ICISP’14), volume 8509 of Springer LNCS
	2014	Michael Gadermayr and Andreas Uhl Degradation adaptive texture classication In: Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP’14)
	2014	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Getting one step closer to fully automatized celiac disease diagnosis In: Proceedings of the 4th IEEE International Conference on Image Processing Theory, Tools and Applications 2014 (IPTA’14)
	2014	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Degradation adaptive texture classication: A case study in celiac disease diagnosis brings new insight In: Proceedings of the International Conference on Image Analysis and Recognition (ICIAR’14), volume 8815 of Springer LNCS
	2014	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Quality based information fusion in fully automatized celiac disease diagnosis In: Proceedings of the German Conference on Pattern Recognition (GCPR’14), volume 8753 of Springer LNCS
	2013	Michael Gadermayr, Michael Liedlgruber, Andreas Uhl, and Andreas Vecsei Problems in distortion corrected texture classication and the impact of scale and interpolation In: Proceedings of the 9th International Conference on Image Analysis and Processing (ICIAP’13), volume 8156 of Springer LNCS
	2013	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Distortion adaptive image classication – an alternative to barrel-type distortion correction In: Proceedings of the 9th International Symposium on Visual Computing (ISVC’13), volume 8034 of Springer LNCS
	2013	Michael Gadermayr, Andreas Uhl, and Andreas Vecsei Barrel-type distortion compensated fourier feature extraction In: Proceedings of the 9th International Symposium on Visual Computing (ISVC’13), volume 8033 of Springer LNCS
	2012	Michael Gadermayr and Andreas Uhl Dual-resolution active contours segmentation of Vickers indentation images with shape prior initialisation In: Proceedings of the 5th International Conference on Image and Signal Processing (ICISP’12), volume 7340 of Springer LNCS
	2012	Michael Gadermayr and Andreas Uhl Image segmentation of Vickers indentations using shape from focus In: Proceedings of the International Conference on Image Analysis and Recognition (ICIAR’12), volume 7324 of Springer LNCS
	2012	Michael Gadermayr, Andreas Maier, and Andreas Uhl The impact of unfocused Vickers indentation images on the segmentation performance In: Proceedings of the 8th International Symposium on Visual Computing (ISVC’12), volume 7432 of Springer LNCS