Exploring the Limits of Deep Image Clustering using Pretrained Models. - Nikolas Adaloglou; Felix Michels; Hamza Kalisch; Markus Kollmann (BMVC, 2023)

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)

Foreign object segmentation in chest x-rays through anatomy-guided shape insertion. - Constantin Seibold; Hamza Kalisch; Lukas Heine; Simon Reiß; Jens Kleesiek (CoRR, 2025)

Automatic Fine-grained Segmentation-assisted Report Generation. - Frederic Jonske; Constantin Seibold; Osman Alperen Koras; Fin Hendrik Bahnsen; Marie Bauer; Amin Dada; Hamza Kalisch; Anton Schily; Jens Kleesiek (CoRR, 2025)

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