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    • Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks 

      Haarburger, Christoph; Horst, Nicolas; Truhn, Daniel; Broeckmann, Mirjam; Schrading, Simone; Kuhl, Christiane; Merhof, Dorit (The Eurographics Association, 2019)
      Generative adversarial networks have been shown to alleviate the problem of limited training data for supervised learning problems in medical image computing. However, most generative models for medical images focus on ...