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Alexander Jaus
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Journal Articles
- 2023
- [j1]Alexander Jaus, Kailun Yang, Rainer Stiefelhagen:
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning. IEEE Trans. Intell. Transp. Syst. 24(4): 4438-4453 (2023)
Conference and Workshop Papers
- 2024
- [c2]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-Guided Pathology Segmentation. MICCAI (8) 2024: 3-13 - 2021
- [c1]Alexander Jaus, Kailun Yang, Rainer Stiefelhagen:
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning. IV 2021: 1421-1427
Informal and Other Publications
- 2024
- [i6]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-guided Pathology Segmentation. CoRR abs/2407.05844 (2024) - [i5]Alexander Jaus, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? CoRR abs/2409.13548 (2024) - 2023
- [i4]Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen:
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR abs/2306.03934 (2023) - [i3]Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen:
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines. CoRR abs/2307.13375 (2023) - 2022
- [i2]Alexander Jaus, Kailun Yang, Rainer Stiefelhagen:
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning. CoRR abs/2206.10711 (2022) - 2021
- [i1]Alexander Jaus, Kailun Yang, Rainer Stiefelhagen:
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning. CoRR abs/2103.00868 (2021)
Coauthor Index
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