Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning. - Alexander Jaus; Kailun Yang 001; Rainer Stiefelhagen (IV, 2021)

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)

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines. - Alexander Jaus; Constantin Seibold; Kelsey Hermann; Alexandra Walter; Kristina Giske; Johannes Haubold; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2023)

Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning. - Alexander Jaus; Kailun Yang 001; Rainer Stiefelhagen (IEEE Trans. Intell. Transp. Syst., 2023)

Filters, Thresholds, and Geodesic Distances for Scribble-Based Interactive Segmentation of Medical Images. - Zdravko Marinov; Alexander Jaus; Jens Kleesiek; Rainer Stiefelhagen (MedSAM@CVPR, 2024)

Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images. - Zdravko Marinov; Alexander Jaus; Jens Kleesiek; Rainer Stiefelhagen (MedSAM@CVPR, 2024)

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset. - Alexander Jaus; Constantin Seibold; Kelsey Hermann; Negar Shahamiri; Alexandra Walter; Kristina Giske; Johannes Haubold; Jens Kleesiek; Rainer Stiefelhagen (ICIP, 2024)

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)

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations. - David Schneider 006; Simon Reiß; Marco Kugler; Alexander Jaus; Kunyu Peng; Susanne Sutschet; M. Saquib Sarfraz; Sven Matthiesen; Rainer Stiefelhagen (NeurIPS, 2024)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? - Alexander Jaus; Simon Reiß; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2024)

Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - David Schneider 006; Simon Reiß; Marco Kugler; Alexander Jaus; Kunyu Peng; Susanne Sutschet; M. Saquib Sarfraz; Sven Matthiesen; Rainer Stiefelhagen (CoRR, 2024)

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. - Alexander Jaus; Constantin Marc Seibold; Simon Reiß; Zdravko Marinov; Keyi Li; Zeling Ye; Stefan Krieg; Jens Kleesiek; Rainer Stiefelhagen (AAAI, 2025)

LIMIS: Towards Language-Based Interactive Medical Image Segmentation. - Lena Heinemann; Alexander Jaus; Zdravko Marinov; Moon S. Kim 002; Maria Francesca Spadea; Jens Kleesiek; Rainer Stiefelhagen (ISBI, 2025)

Good Enough: Is it Worth Improving your Label Quality? - Alexander Jaus; Zdravko Marinov; Constantin Seibold; Simon Reiß; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2025)

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? - Simon Reiß; Zdravko Marinov; Alexander Jaus; Constantin Seibold; M. Saquib Sarfraz; Erik Rodner; Rainer Stiefelhagen (CoRR, 2025)

Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement. - Cedric Zöllner; Simon Reiß; Alexander Jaus; Amroalalaa Sholi; Ralf Sodian; Rainer Stiefelhagen (CoRR, 2025)

GRASPing Anatomy to Improve Pathology Segmentation. - Keyi Li; Alexander Jaus; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2025)