Publications

Johannes Gerritzen, Andreas Hornig, Peter Winkler, and Maik Gude. Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1252--1259, European Society for Composite Materials (ESCM), Jul 2, 2024. [PUMA: Convolutional Direct FIS_scads Fiber Strain area_architectures dependency, identification, networks, neural parameter plastics rate reinforced topic_engineering yaff machine learning] URL

Ariel Iporre-Rivas, Dorothee Saur, Karl Rohr, Gerik Scheuermann, and Christina Gillmann. Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network. J. Med. Imaging (Bellingham), (10)4:044502, SPIE-Intl Soc Optical Eng, July 2023. [PUMA: graph imaging learning machine medical multi-modal networks neural prediction stroke topic_visualcomputing yaff]