Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery - researchr publication authors

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Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. In Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen, editors, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Volume 10265 of Lecture Notes in Computer Science, pages 146-157, Springer, 2017. [doi]

This author has not been identified. Look up 'Thomas Schlegl' in GoogleThis author has not been identified. Look up 'Philipp Seeböck' in GoogleThis author has not been identified. Look up 'Sebastian M. Waldstein' in GoogleThis author has not been identified. Look up 'Ursula Schmidt-Erfurth' in GoogleThis author has not been identified. Look up 'Georg Langs' in Google

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