Markus Krenn


Markus Krenn

Markus Krenn
Tel: +43 1 40400 76180
Computational Imaging Research Lab
Department of Biomedical Imaging and Image-guided Therapy
Medical University of Vienna
Waehringer Guertel 18-20 
A-1090 Vienna / Austria

AKH Vienna
(floor 7F, room F0.07)

Research Interests

  • Medical Image Analysis
  • Big Data and Machine Learning in Medicine
  • Large Scale Image Processing
  • Image Registration and Segmentation


Visceral logo

VISCERAL Visual Concept Extraction Challenge in Radiologyfunded by the  the European Union FP7. VISCERAL will be organising a series of benchmarks on the processing of large-scale 3D radiology images making use of an innovative cloud-based evaluation approach to speed up research pgrogress towards:

- Automated anatomy and pathology identification 3D radiology images (CT, MRI)
- Similar case retrieval for tese images and reports associated with them


Recent Publications

M. Krenn, M. Dorfer, O. A. Jiménez-del Toro, H. Müller, B. Menze, M.-A. Weber, A. Hanbury, and G. Langs  Creating a Large–Scale Silver Corpus from Multiple Algorithmic Segmentations in MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2015,Springer, 2015 (pre-print)


VISCERAL Annotation Ticketing Framework
During VISCERAL, a framework has been developed that allows the management of different annotation types, the distribution of annotation tickets to multiple annotators and to perform a quality check of annotations to ensure consistent annotation quality across different annotators.

Code, installation guidelines  and documentation of the developed framework are on GitHub available as  open source project.