Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2 
publications
Panoramic panoptic segmentation: Towards complete surrounding understanding via unsupervised contrastive learning (Best Paper Award)
Published in 2021 IEEE Intelligent Vehicles Symposium (IV), 2021
Recommended citation: Jaus, Alexander; Yang, Kailun; Stiefelhagen, Rainer; . (2021). "Panoramic panoptic segmentation: Towards complete surrounding understanding via unsupervised contrastive learning." 2021 IEEE Intelligent Vehicles Symposium (IV): 1421-1427.
Download Paper
Accurate fine-grained segmentation of human anatomy in radiographs via volumetric pseudo-labeling
Published in arXiv, 2023
Recommended citation: Seibold, Constantin; Jaus, Alexander; Fink, Matthias A; Kim, Moon; Reiß, Simon; Herrmann, Ken; Kleesiek, Jens; Stiefelhagen, Rainer; . (2023). "Accurate fine-grained segmentation of human anatomy in radiographs via volumetric pseudo-labeling." arXiv preprint arXiv:2306.03934
Download Paper
Panoramic panoptic segmentation: Insights into surrounding parsing for mobile agents via unsupervised contrastive learning
Published in IEEE Transactions on Intelligent Transportation Systems, 2023
Recommended citation: Jaus, Alexander; Yang, Kailun; Stiefelhagen, Rainer; . (2023). "Panoramic panoptic segmentation: Insights into surrounding parsing for mobile agents via unsupervised contrastive learning." IEEE Transactions on Intelligent Transportation Systems. 24(4): 4438-4453.
Download Paper
Towards unifying anatomy segmentation: automated generation of a full-body ct dataset via knowledge aggregation and anatomical guidelines
Published in arXiv, 2023
Recommended citation: Jaus, Alexander; Seibold, Constantin; Hermann, Kelsey; Walter, Alexandra; Giske, Kristina; Haubold, Johannes; Kleesiek, Jens; Stiefelhagen, Rainer; . (2023). "Towards unifying anatomy segmentation: automated generation of a full-body ct dataset via knowledge aggregation and anatomical guidelines." arXiv preprint arXiv:2307.13375..
Download Paper
Anatomy-guided Pathology Segmentation
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
Recommended citation: Jaus, Alexander; Seibold, Constantin; Reiß, Simon; Heine, Lukas; Schily, Anton; Kim, Moon; Bahnsen, Fin Hendrik; Herrmann, Ken; Stiefelhagen, Rainer; Kleesiek, Jens; . (2024). "Anatomy-guided Pathology Segmentation." International Conference on Medical Image Computing and Computer-Assisted Intervention: 3-13.
Download Paper
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
Published in 🥈 MICCAI 2024 AutoPET Datacentric Track, 2024
Recommended citation: Jaus, Alexander; Reiß, Simon; Kleesiek, Jens; Stiefelhagen, Rainer; . (2024). "Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?." 🥈 MICCAI 2024 AutoPET Datacentric Track: nan.
Download Paper
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Published in Proceedings of the AAAI Conference on Artificial Intelligence 2025, 2024
Recommended citation: Jaus, Alexander; Seibold, Constantin; Reiß, Simon; Marinov, Zdravko; Li, Keyi; Ye, Zeling; Krieg, Stefan; Kleesiek, Jens; Stiefelhagen, Rainer; . (2024). "Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 2025.
Download Paper
Filters, thresholds, and geodesic distances for scribble-based interactive segmentation of medical images
Published in CVPR: MedSAM Medical Image Segmentation Challenge, 2024
Recommended citation: Marinov, Zdravko; Jaus, Alexander; Kleesiek, Jens; Stiefelhagen, Rainer; . (2024). "Filters, thresholds, and geodesic distances for scribble-based interactive segmentation of medical images." Medical Image Segmentation Challenge: 39-56.
Download Paper
FootCapture: Towards an AR-based System for 3D Foot Object Acquisition through Photogrammetry
Published in Medical Imaging with Deep Learning, 2024
Recommended citation: Khan-Blouki, Valentin; Seiz, Franziska; Walter, Nicolas; Jaus, Alexander; Marinov, Zdravko; Luijten, Gijs; Egger, Jan; Seibold, Constantin Marc; Solte, Dirk; Kleesiek, Jens; Stiefelhagen, Rainer. (2024). "FootCapture: Towards an AR-based System for 3D Foot Object Acquisition through Photogrammetry." Medical Imaging with Deep Learning
Download Paper
LIMIS: Towards Language-based Interactive Medical Image Segmentation (Oral)
Published in International Symposium on Biomedical Imaging (ISBI), 2024
Recommended citation: Heinemann, L., Jaus, A., Marinov, Z., Kim, M., Spadea, M. F., Kleesiek, J., & Stiefelhagen, R. (2025, April). LIMIS: Towards Language-Based Interactive Medical Image Segmentation. In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE.
Download Paper
Muscles in time: Learning to understand human motion in-depth by simulating muscle activations
Published in Advances in Neural Information Processing Systems, 2024
Recommended citation: Schneider, David; Reiß, Simon; Kugler, Marco; Jaus, Alexander; Peng, Kunyu; Sutschet, Susanne; Sarfraz, M Saquib; Matthiesen, Sven; Stiefelhagen, Rainer; . (2024). "Muscles in time: Learning to understand human motion in-depth by simulating muscle activations." Advances in Neural Information Processing Systems. 37: 67251-67281.
Download Paper
Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images
Published in CVPR: MedSAM Medical Image Segmentation Challenge, 2024
Recommended citation: Marinov, Zdravko; Jaus, Alexander; Kleesiek, Jens; Stiefelhagen, Rainer; . (2024). "Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images." Medical Image Segmentation Challenge: 101-125.
Download Paper
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset
Published in 2024 IEEE International Conference on Image Processing (ICIP), 2024
Recommended citation: Jaus, Alexander; Seibold, Constantin; Hermann, Kelsey; Shahamiri, Negar; Walter, Alexandra; Giske, Kristina; Haubold, Johannes; Kleesiek, Jens; Stiefelhagen, Rainer; . (2024). "Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset." 2024 IEEE International Conference on Image Processing (ICIP): 41-47.
Download Paper
Medshapenet–a large-scale dataset of 3d medical shapes for computer vision
Published in Biomedical Engineering/Biomedizinische Technik, 2025
Recommended citation: Li, Jianning; Zhou, Zongwei; Yang, Jiancheng; Pepe, Antonio; Gsaxner, Christina; Luijten, Gijs; Qu, Chongyu; Zhang, Tiezheng; Chen, Xiaoxi; Li, Wenxuan; . (2025). "Medshapenet–a large-scale dataset of 3d medical shapes for computer vision." Biomedical Engineering/Biomedizinische Technik. 70(1): 71-90.
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant for the Course Deep Learning for Computer Vision
Graduate course, Karlsruhe Institute of Technology, 2012
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
