Publications

You can also find my articles on my Google Scholar profile.

denotes shared first authorship

2026

autoPET3

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT – Multitracer Multicenter Generalization

J. Dexl, K. Jeblick, A. Mittermeier, B. Schachtner, A. T. Stüber, J. Topalis, M. Rokuss, F. Isensee, K. H. Maier-Hein, H. Kalisch, J. Kleesiek, C. M. Seibold, H. Alasmawi, L. Y. L. Chan, Y. Yuan, A. Jaus, R. Stiefelhagen, P. O. Megne Choudjа, K. Nikolaou, C. La Fougère, S. Gatidis, M. P. Fabritius, M. Heimer, G. Abaci, L. K. Shiyam Sundar, R. A. Werner, J. Ricke, C. C. Cyran, T. Küstner, M. Ingrisch

Medical Imaging Segmentation Datasets

SMC 2026

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning

Q. Yin, D. Wen, K. Peng, D. Schneider, Z. Zhong, A. Jaus, Z. Marinov, J. Wei, R. Liu, J. Zheng, Y. Chen, C. Zhang, L. Qi, R. Stiefelhagen

Action Understanding Interactive Segmentation

SMC 2026

IMPACT-HOI: Supervisory Control for Onset-Anchored Partial HOI Event Construction

H. Zhang, D. Wen, K. Peng, D. Schneider, Z. Zhong, A. Jaus, Z. Marinov, J. Wei, R. Liu, J. Zheng, Y. Chen, Y. Zhang, Y. Luo, L. Qi, R. Stiefelhagen

Action Understanding

SMC 2026

IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory

W. Kong, D. Wen, K. Peng, D. Schneider, Z. Zhong, A. Jaus, Z. Marinov, J. Wei, R. Liu, J. Zheng, Y. Chen, L. Qi, R. Stiefelhagen

Action Understanding

ISBI 2026

Learning to Look Closer: A New Instance-Wise Loss for Small Cerebral Lesion Segmentation (Oral)

L. Bouteille, A. Jaus, J. Kleesiek, R. Stiefelhagen, L. Heine

Medical Imaging Segmentation

MICCAI 2026

Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets

A. Jaus, Z. Marinov, S. Reiß, C. Seibold, J. Wei, J. Kleesiek, R. Stiefelhagen

Medical Imaging Datasets

2025

ICCV 2025

Is Visual in-Context Learning for Compositional Medical Tasks within Reach?

S. Reiß, Z. Marinov, A. Jaus, C. Seibold, M. S. Sarfraz, E. Rodner, R. Stiefelhagen

Medical Imaging Foundation Models

MLMI 2025

GRASPing Anatomy to Improve Pathology Segmentation

K. Li*, A. Jaus*, J. Kleesiek, R. Stiefelhagen

Medical Imaging Segmentation

STACOM 2025

Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement

C. Zöllner*, S. Reiß*, A. Jaus, A. Sholi, R. Sodian, R. Stiefelhagen

Medical Imaging Segmentation Cardiac

BMT 2025

Medshapenet–a large-scale dataset of 3d medical shapes for computer vision

J. Li, Z. Zhou, J. Yang, A. Pepe, C. Gsaxner, G. Luijten, C. Qu, T. Zhang, X. Chen, W. Li, et al.

Datasets Medical Imaging

ISBI 2025

LIMIS: Towards Language-based Interactive Medical Image Segmentation (Oral)

L. Heinemann*, A. Jaus*, Z. Marinov, M. Kim, M. F. Spadea, J. Kleesiek, R. Stiefelhagen

Interactive Segmentation Foundation Models Medical Imaging

AAAI 2025

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks

A. Jaus, C. Seibold, S. Reiß, Z. Marinov, K. Li, Z. Ye, S. Krieg, J. Kleesiek, R. Stiefelhagen

Segmentation Evaluation Metrics

Explore Paper Code

2024

ICIP 2024

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset

A. Jaus*, C. Seibold*, K. Hermann, N. Shahamiri, A. Walter, K. Giske, J. Haubold, J. Kleesiek, R. Stiefelhagen

Medical Imaging Segmentation Datasets

Explore Paper Code

CVPR-W 2024

Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images

Z. Marinov, A. Jaus, J. Kleesiek, R. Stiefelhagen

Interactive Segmentation Medical Imaging

NeurIPS 2024

Muscles in time: Learning to understand human motion in-depth by simulating muscle activations

D. Schneider, S. Reiß, M. Kugler, A. Jaus, K. Peng, S. Sutschet, M. S. Sarfraz, S. Matthiesen, R. Stiefelhagen

Human Motion Datasets

MIDL 2024

FootCapture: Towards an AR-based System for 3D Foot Object Acquisition through Photogrammetry

V. Khan-Blouki, F. Seiz, N. Walter, A. Jaus, Z. Marinov, G. Luijten, J. Egger, C. M. Seibold, D. Solte, J. Kleesiek, R. Stiefelhagen

Medical Imaging

CVPR-W 2024

Filters, thresholds, and geodesic distances for scribble-based interactive segmentation of medical images

Z. Marinov, A. Jaus, J. Kleesiek, R. Stiefelhagen

Interactive Segmentation Medical Imaging

AutoPET 2024 2nd place — autoPET III Data-Centric Track

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?

A. Jaus, S. Reiß, J. Kleesiek, R. Stiefelhagen

Medical Imaging Datasets Segmentation

MICCAI 2024

Anatomy-guided Pathology Segmentation

A. Jaus, C. Seibold, S. Reiß, L. Heine, A. Schily, M. Kim, F. H. Bahnsen, K. Herrmann, R. Stiefelhagen, J. Kleesiek

Medical Imaging Segmentation

2023

arXiv 2023

Towards unifying anatomy segmentation: automated generation of a full-body ct dataset via knowledge aggregation and anatomical guidelines

A. Jaus, C. Seibold, K. Hermann, A. Walter, K. Giske, J. Haubold, J. Kleesiek, R. Stiefelhagen

Medical Imaging Segmentation Datasets

T-ITS 2023

Panoramic panoptic segmentation: Insights into surrounding parsing for mobile agents via unsupervised contrastive learning

A. Jaus, K. Yang, R. Stiefelhagen

Segmentation Autonomous Driving

arXiv 2023

Accurate fine-grained segmentation of human anatomy in radiographs via volumetric pseudo-labeling

C. Seibold, A. Jaus, M. A. Fink, M. Kim, S. Reiß, K. Herrmann, J. Kleesiek, R. Stiefelhagen

Medical Imaging Segmentation Datasets

2021

IEEE IV 2021 Best Paper Award

Panoramic panoptic segmentation: Towards complete surrounding understanding via unsupervised contrastive learning

A. Jaus, K. Yang, R. Stiefelhagen

Segmentation Autonomous Driving