Kainmueller, Dagmar

8 publications

NeurIPS 2024 Arctique: An Artificial Histopathological Dataset Unifying Realism and Controllability for Uncertainty Quantification Jannik Franzen, Claudia Winklmayr, Vanessa E. Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan P. Albrecht, Philip Bischoff, Dagmar Kainmueller

CVPR 2024 FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller

ICCVW 2023 ACTIS: Improving Data Efficiency by Leveraging Semi-Supervised Augmentation Consistency Training for Instance Segmentation Josef Lorenz Rumberger, Jannik Franzen, Peter Hirsch, Jan Philipp Albrecht, Dagmar Kainmueller

ICCVW 2023 Towards Hierarchical Regional Transformer-Based Multiple Instance Learning Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne

ECCV 2020 PatchPerPix for Instance Segmentation Peter Hirsch Lisa Mais, Dagmar Kainmueller

ECCVW 2020 Probabilistic Deep Learning for Instance Segmentation Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller

ECCVW 2018 A Benchmark for Epithelial Cell Tracking Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller

CVPR 2016 Convexity Shape Constraints for Image Segmentation Loic A. Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller