Alexander Jaus
Orcid: 0000-0002-0669-0300
According to our database1,
Alexander Jaus
authored at least 17 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement.
CoRR, July, 2025
CoRR, July, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations.
CoRR, 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
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.
Proceedings of the IEEE International Conference on Image Processing, 2024
Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images.
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.
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.
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.
CoRR, 2023
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.
CoRR, 2023
2021
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021