Department of Biomedical Imaging and Image-guided Therapy
Position: Associate Professor
ORCID: 0000-0002-5536-6873
T +43 1 40400 73725
georg.langs@meduniwien.ac.at
Keywords
Decision Making, Computer-Assisted
Research group(s)
- Computational Imaging Research Lab
Head: Georg Langs
Research Area: Research at CIR is roughly grouped around 3 research lines: Machine Learning & Neuroimaging, Computer Aided Diagnosis and Quantification, Computer Vision and Pattern Recognition
Members:
Research interests
Georg Langs studied Mathematics at Vienna University of Technology, and finished his PhD in Computer Vision at Vienna University of Technology and Graz University of Technology in 2007. He worked as a post-doctoral associate at the Applied Mathematics and Systems Laboratory at Ecole Centrale de Paris, and the GALEN Group at INRIA-Saclay, Ile de France with Nikos Paragios from 2007 to 2008. He was a Research Scientist at Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology from 2009 to 2011, and joined the Faculty of Medical University of Vienna in 2011. He taught Computer Vision and Medical Imaging courses at Ecole Centrale de Paris, and teaches at Vienna University of Technology. He reviews for several Conferences and Journals, among them IEEE Transactions on Pattern Recogniton and Machine Intelligence, and IEEE Transactions on Medical Imaging. Georg Langs is the Head of the Computational Imaging Research Lab (CIR) at the Medical University of Vienna.
Techniques, methods & infrastructure
- Machine learning
- Manifold learning
- Computational neuroscience
- Computer vision
Selected publications
- Wang, D. et al., 2015. Parcellating cortical functional networks in individuals. Nat Neurosci, 18(12), pp.1853-1860. Available at: http://dx.doi.org/10.1038/nn.4164.
- Langs, G. et al., 2015. Identifying Shared Brain Networks in Individuals by Decoupling Functional and Anatomical Variability. Cerebral Cortex, p.bhv189. Available at: http://dx.doi.org/10.1093/cercor/bhv189.
- Jakab, A. et al., 2015. Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis. NeuroImage, 111, pp.277-288. Available at: http://dx.doi.org/10.1016/j.neuroimage.2015.02.038.