Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. - Tianyu Han; Sven Nebelung; Federico Pedersoli; Markus Zimmermann; Maximilian Schulze-Hagen; Michael Ho; Christoph Haarburger; Fabian Kiessling; Christiane Kuhl; Volkmar Schulz; Daniel Truhn (CoRR, 2020)

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. - Tianyu Han; Jakob Nikolas Kather; Federico Pedersoli; Markus Zimmermann; Sebastian Keil; Maximilian Schulze-Hagen; Marc Terwoelbeck; Peter Isfort; Christoph Haarburger; Fabian Kiessling; Volkmar Schulz; Christiane Kuhl; et al. (CoRR, 2021)

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. - Tianyu Han; Jakob Nikolas Kather; Federico Pedersoli; Markus Zimmermann; Sebastian Keil; Maximilian Schulze-Hagen; Marc Terwoelbeck; Peter Isfort; Christoph Haarburger; Fabian Kiessling; Christiane Kuhl; Volkmar Schulz; et al. (Nat. Mac. Intell., 2022)