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Georg Langs

Georg Langs

Assoc.Prof. Dipl.-Ing. Dr. Georg Langs

georg.langs@meduniwien.ac.at
T: +43 (0)1 40400-73725

Medical University of Vienna
Department of Biomedical Imaging and Image-guided Therapy
Computational Imaging Research Lab
Waehringer Guertel 18-20
1090 Vienna, Austria

Office
Anna Spiegel Center of Translational Research
(building 25, floor 7, room 27)

Personal

I am also affiliated with the Medical Vision Group at CSAIL, Massachusetts Institute of Technology, where I work in the group of Polina Golland. http://people.csail.mit.edu/langs

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 Image Analysis and Radiology Lab (CIR) at the Medical University of Vienna.

Research interests

Neuroimaging, machine learning and medical image analysis,
in particular:

  • Functional brain imaging, perception and reorganization
  • Autonomous model learning
  • Large scale image search

Upcoming and running

Area Chair CVPR 2021

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.