Thomas Schlegl


Thomas Schlegl

Thomas Schlegl
thomas.schlegl @
Tel: +43 1 40400 73722
Computational Imaging Research Lab
Department of Biomedical Imaging and Image-guided Therapy
Medical University of Vienna
Waehringer Guertel 18-20
A-1090 Vienna / Austria

Anna Spiegel Center of Translational Research
(building 25, floor 7, room 28)


Research interests

- medical image analysis
- machine learning
- deep learning
- multi-modality image analysis


Short CV

Thomas Schlegl is a PhD Student at the Medical University of Vienna. He holds BSc. (2008) and MSc. (2011) degrees in computer science from Vienna University of Technology, where he studied medical informatics. Before joining Medical University Vienna in 2012, Thomas Schlegl spent six years as a lecturer at the bachelor degree course Radiological Technology at University of Applied Sciences in Wiener Neustadt. He worked as a software engineer at GWI AG (AGFA HealthCare) from 2005 to 2006. He worked as a radiographer at SMZ Süd in Vienna from 2002 to 2005 and at the department of trauma-surgery at Vienna general hospital from 2000 to 2002. Currently, Thomas Schlegl is studying deep learning methods on large-scale biomedical imaging data.


Selected recent publications

  • T. Schlegl, S. M. Waldstein, W.-D. Vogl, U. Schmidt-Erfurth, G. Langs (2015). Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. In: Information Processing in Medical Imaging, IPMI 2015. [pdf]
  • T. Schlegl, J. Ofner, G. Langs (2014). Unsupervised pre-training across image domains improves lung tissue classification. In: Medical Computer Vision: Algorithms for Big Data, pp. 82-93. Springer International Publishing. [pdf]
  • Schöpf, V., Schlegl, T., Jakab, A., Kasprian, G., Woitek, R., Prayer, D., Langs, G. (2014). The relationship between eye movement and vision develops before birth. Frontiers in human neuroscience, 8.