Publications

Joel Jonsson, Bevan Leslie Cheeseman, und Ivo Sbalzarini. APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microscopy Images. Transactions on Machine Learning Research, 2025. [PUMA: convolutional images microscopy networks neural yaff] URL

Johannes Gerritzen, Andreas Hornig, Peter Winkler, und 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), 02.07.2024. [PUMA: Convolutional Direct FIS_scads Fiber Strain area_architectures dependency, identification, networks, neural parameter plastics rate reinforced topic_engineering yaff machine learning] URL

Mariia Tkachenko, Claire Chalopin, Boris Jansen-Winkeln, Thomas Neumuth, Ines Gockel, und Marianne Maktabi. Impact of pre- and post-processing steps for supervised classification of colorectal cancer in hyperspectral images. Cancers (Basel), (15)7April 2023. [PUMA: cancer classification colorectal convolutional filter hyperspectral imaging learning machine median networks post-processing pre-processing topic_lifescience yaff]