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Alexander Jaus
Alexander Jaus
PHD Student
Verified email at kit.edu
Title
Cited by
Cited by
Year
Panoramic panoptic segmentation: Towards complete surrounding understanding via unsupervised contrastive learning
A Jaus, K Yang, R Stiefelhagen
2021 IEEE Intelligent Vehicles Symposium (IV), 1421-1427, 2021
342021
Panoramic panoptic segmentation: Insights into surrounding parsing for mobile agents via unsupervised contrastive learning
A Jaus, K Yang, R Stiefelhagen
IEEE Transactions on Intelligent Transportation Systems 24 (4), 4438-4453, 2023
172023
MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision
J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ...
arXiv preprint arXiv:2308.16139, 2023
152023
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, ...
arXiv preprint arXiv:2307.13375, 2023
102023
Accurate fine-grained segmentation of human anatomy in radiographs via volumetric pseudo-labeling
C Seibold, A Jaus, MA Fink, M Kim, S Reiß, K Herrmann, J Kleesiek, ...
arXiv preprint arXiv:2306.03934, 2023
82023
Anatomy-guided Pathology Segmentation
A Jaus, C Seibold, S Reiß, L Heine, A Schily, M Kim, FH Bahnsen, ...
arXiv preprint arXiv:2407.05844, 2024
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, ...
Medical Imaging with Deep Learning, 2024
2024
Filters, Thresholds, and Geodesic Distances for Scribble-based Interactive Segmentation of Medical Images
Z Marinov, A Jaus, J Kleesiek, R Stiefelhagen
CVPR 2024: Segment Anything In Medical Images On Laptop, 0
Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images
Z Marinov, A Jaus, J Kleesiek, R Stiefelhagen
CVPR 2024: Segment Anything In Medical Images On Laptop, 0
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