Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. - Max Coenen; Tobias Schack; Dries Beyer; Christian Heipke; Michael Haist (CoRR, 2021)

Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate. - Max Coenen; Dries Beyer; Christian Heipke; Michael Haist (CoRR, 2022)

ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles. - Max Coenen; Tobias Schack; Dries Beyer; Christian Heipke; Michael Haist (Mach. Vis. Appl., 2022)

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties. - Max Meyer; Amadeus Langer; Max Mehltretter; Dries Beyer; Max Coenen; Tobias Schack; Michael Haist; Christian Heipke (CoRR, 2024)