Generative Adversarial Networks

Wednesday, 10:30-12:00: Generative Adversarial Networks

(Session chair: Roland Kwitt)

10:30-11:15: Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

 Thomas Schlegl, Medical University of Vienna

 Philipp Seeböck, Medical University of Vienna

 Sebastian Waldstein, Medical University of Vienna

 Georg Langs, Medical University of Vienna, Austria


11:15-12:00: Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

 Konstantinos Kamnitsas, Imperial College London

 Christian Baumgartner, Imperial College London

 Christian Ledig, Imperial College London

 Virginia Newcombe, Cambridge University

 Joanna Simpson, Cambridge University

 Andrew Kane, Cambridge University

 David Menon, Cambridge University

 Aditya Nori, Microsoft Research

 Antonio Criminisi, Microsoft Research Cambridge

 Daniel Rueckert, Imperial College London, UK

 Ben Glocker, Imperial College, UK