6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2025
treeX: Unsupervised Tree Instance Segmentation in Dense Forest Point Clouds
Josafat-Mattias Burmeister, Andreas Tockner, Stefan Reder +4
Close-range laser scanning provides detailed 3D captures of forest stands but requires efficient software for processing 3D point cloud data and extracting individual trees. Althou…
cs.CV2022★ 6 cited
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation
Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann +5
Since labeling medical image data is a costly and labor-intensive process, active learning has gained much popularity in the medical image segmentation domain in recent years. A va…