… To learn the generator's distribution p g over data x, a prior must be defined on … G(z; θ g ),
where G is a differentiable function represented by a multilayer perceptron with parameters θ g …

… Langs is an employee and shareholder of contextflow GmbH. The authors of this article
have indicated no other relevant relationships that could be perceived as a real or apparent …

… Vogl WD, Prosch H, Müller-Mang C, Schmidt-Erfurth U, Langs G. Longitudinal alignment
of disease progression in fibrosing interstitial lung disease. In: Golland P, Hata N, Barillot C, …

… D and G are simultaneously optimized through the following two-player minimax game with
value … The generator G is simultaneously trained to fool D via minimizing \(V(G) = \log (1 - D(…

… D ← D i a g o n a l i z e ( D e g r e e ( L ) ) … D α ← D i a g o n a l i z e ( D e g r e e ( L α ) ) …
G Langs, P Golland, SS Ghosh, Predicting activation across individuals with resting-state …

… Wasserstein GAN (WGAN) training yielding learned parameters for the generator (G) and
discriminator (D). Three possible variants of encoder training with fixed parameters of G (and D…

Purpose Development and validation of a fully automated method to detect and quantify
macular fluid in conventional OCT images. Design Development of a diagnostic modality. …

The capacity to identify the unique functional architecture of an individual's brain is a crucial
step toward personalized medicine and understanding the neural basis of variation in …

Background Automated segmentation of anatomical structures is a crucial step in image
analysis. For lung segmentation in computed tomography, a variety of approaches exists, …

Flow and stress patterns in human carotid artery bifurcation models, which differ in the
bifurcation angle, are analysed numerically under physiologically relevant flow conditions. The …