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

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