Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. - Constantin Seibold; Alexander Jaus; Matthias A. Fink; Moon Kim 002; Simon Reiß; Ken Herrmann; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2023)

Anatomy-Guided Pathology Segmentation. - Alexander Jaus; Constantin Seibold; Simon Reiß; Lukas Heine; Anton Schily; Moon S. Kim 002; Fin Hendrik Bahnsen; Ken Herrmann; Rainer Stiefelhagen; Jens Kleesiek (MICCAI (8), 2024)

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT. - Hamza Kalisch; Fabian Hörst; Ken Herrmann; Jens Kleesiek; Constantin Seibold (CoRR, 2024)

Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints. - Jonas Nasimzada; Jens Kleesiek; Ken Herrmann; Alina Roitberg; Constantin Seibold (CoRR, 2024)

CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation. - Hamza Kalisch; Fabian Hörst; Jens Kleesiek; Ken Herrmann; Constantin Seibold (CoRR, 2025)