Computational Imaging Research
Thomas Schlegl, Dipl.-Ing.
Doctoral Research Scientist
Christian Doppler Laboratory for Ophthalmic Image Analysis
Department of Ophthalmology
Medical University of Vienna
Phone: +43 1 40400 73722
Office: Anna Spiegel Center of Translational Research (Building 25, floor 7)
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.
- Deep learning
- Medical image analysis
- Machine learning
- Computer vision
Learning multimodal deep representations based on visual and textual medical data
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.
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.
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.