Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. - Michael Gadermayr; Maximilian Ernst Tschuchnig; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair (SASHIMI@MICCAI, 2021)

Quantification of anomalies in rats' spinal cords using autoencoders. - Maximilian Ernst Tschuchnig; Dominic Zillner; Pasquale Romanelli; David Hercher; Patrick Heimel; Gertie Janneke Oostingh; Sebastien Couillard-Despres; Michael Gadermayr (Comput. Biol. Medicine, 2021)

Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. - Maximilian Ernst Tschuchnig; Philipp Grubmüller; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair; Michael Gadermayr (IPTA, 2022)

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. - Michael Gadermayr; Lukas Koller; Maximilian Ernst Tschuchnig; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair (MICCAI (6), 2023)

MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification. - Michael Gadermayr; Lukas Koller; Maximilian Ernst Tschuchnig; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair (CoRR, 2023)