Alexander Jaus

According to our database, Alexander Jaus authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

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

Weitong Kong, Di Wen, Kunyu Peng, David Schneider, Zeyun Zhong, Alexander Jaus, Zdravko Marinov, Jiale Wei, Ruiping Liu, Junwei Zheng, Yufan Chen, Lei Qi, Rainer Stiefelhagen

CoRR, April, 2026

2025

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

Luc Bouteille, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen, Lukas Heine

CoRR, November, 2025

Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement.

Cedric Zöllner, Simon Reiß, Alexander Jaus, Amroalalaa Sholi, Ralf Sodian, Rainer Stiefelhagen

CoRR, July, 2025

Transcatheter Aortic Valve Replacement Planning Pseudo-label CT dataset (TAVRP-PL).

Cedric Zöllner, Simon Reiß, Alexander Jaus, Amroalalaa Sholi, Ralf Sodian, Rainer Stiefelhagen

Dataset, July, 2025

Good Enough: Is it Worth Improving your Label Quality?

Alexander Jaus, Zdravko Marinov, Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen

CoRR, May, 2025

GRASPing Anatomy to Improve Pathology Segmentation.

Keyi Li, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

LIMIS: Towards Language-Based Interactive Medical Image Segmentation.

Lena Heinemann, Alexander Jaus, Zdravko Marinov, Moon S. Kim, Maria Francesca Spadea, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations.

David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen

CoRR, 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 In-Depth by Simulating Muscle Activations.

David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Anatomy-Guided Pathology Segmentation.

Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the IEEE International Conference on Image Processing, 2024

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

Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

Filters, Thresholds, and Geodesic Distances for Scribble-Based Interactive Segmentation of Medical Images.

Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

2023

Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning.

Alexander Jaus, Kailun Yang, Rainer Stiefelhagen

IEEE Trans. Intell. Transp. Syst., April, 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

Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.

Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen

CoRR, 2023

2021

Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning.

Alexander Jaus, Kailun Yang, Rainer Stiefelhagen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021