Zum Hauptinhalt springen

Michael Gadermayr

Titel/Grad: FH-Prof. Dr.

Funktion: Senior Lecturer

Kompetenzbereiche:
  • Machine Learning
  • Deep Learning
  • Medical and Biological Image Analysis
Lehrveranstaltungen:
  • Mathematik
  • Deep Learning
  • Software Design
  • Spezielle Softwaresysteme
Projekte:
Ausgewählte Publikationen:

Maximilian E. Tschuchnig, Gertie J. Oostingh and Michael Gadermayr, Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential, CellPress Pattern, 2020

Laxmi Gupta, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr, GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019

Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara M. Klinkhammer, Dorit Merhof, Generative Adversarial Networks for Facilitating Stain-Independent Supervised & Unsupervised Segmentation: A Study on Kidney Histology, IEEE Transaction on Medical Imaging (TMI), 2019

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, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018

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, IEEE International Symposium on Biomedical Imaging (ISBI), 2018

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, Computers in Biology and Medicine, 2018

Michael Gadermayr, Kexin Li, Madlaine Müller, Daniel Truhn, Nils Krämer, Dorit Merhof, Domain Specific Data Augmentation for Segmenting MR Images of Fatty Infiltrated Human Thighs with Neural Networks, Journal of Magnetic Resonance Imaging, 2018

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, Magnetic Reconance Imaging, 2018

Liste aller Publikationen:

https://scholar.google.com/citations?user=QGSF79AAAAAJ&hl=en


Kontaktdaten:

fon: +43 (0)50-2211-1341
fax: +43 (0)50-2211-1349
email: michael.gadermayr@fh-salzburg.ac.at

 

Michael Gadermayr

Michael Gadermayr (Foto: FH Salzburg)