Constantin Seibold
Constantin Seibold
Karlsruhe Institute of Technology, HIDSS4Health
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Zitiert von
Zitiert von
Every annotation counts: Multi-label deep supervision for medical image segmentation
S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
C Seibold, S Reiß, J Kleesiek, R Stiefelhagen
36th AAAI Conference on Artificial Intelligence, 2022
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
A Roitberg, D Schneider, A Djamal, C Seibold, S Reiß, R Stiefelhagen
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
MS Sarfraz, C Seibold, H Khalid, R Stiefelhagen
30th British Machine Vision Conference (BMVC), 2019
Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic Disease Classification and Localization in Chest Radiographs
C Seibold, J Kleesiek, HP Schlemmer, R Stiefelhagen
Proceedings of the Asian Conference on Computer Vision (ACCV), 2020
CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism
HUK Matthias A. Fink, Victoria L. Mayer, Thomas Schneider, Constantin ...
Radiology, 2021
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training
C Seibold, S Reiß, MS Sarfraz, R Stiefelhagen, J Kleesiek
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Hierarchical nearest neighbor graph embedding for efficient dimensionality reduction
S Sarfraz, M Koulakis, C Seibold, R Stiefelhagen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Flying guide dog: Walkable path discovery for the visually impaired utilizing drones and transformer-based semantic segmentation
H Tan, C Chen, X Luo, J Zhang, C Seibold, K Yang, R Stiefelhagen
2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1123 …, 2021
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
GA Salg, MK Ganten, AM Bucher, HG Kenngott, MA Fink, C Seibold, ...
npj Digital Medicine 4 (1), 2021
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
C Seibold, MA Fink, C Goos, HU Kauczor, HP Schlemmer, R Stiefelhagen, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
A Roitberg, K Peng, Z Marinov, C Seibold, D Schneider, R Stiefelhagen
2022 IEEE Intelligent Vehicles Symposium (IV), 2022
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
Z Marinov, S Vasileva, Q Wang, C Seibold, J Zhang, R Stiefelhagen
2021 29th European Signal Processing Conference (EUSIPCO), 2021
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
VJ Hallitschke, T Schlumberger, P Kataliakos, Z Marinov, M Kim, ...
arXiv preprint arXiv:2301.09914, 2023
Graph-constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation
S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen
European Conference on Computer Vision (ECCV), 2022
Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism
MA Fink, C Seibold, HU Kauczor, R Stiefelhagen, J Kleesiek
Diagnostics 12 (5), 1224, 2022
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
O Ester, F Hörst, C Seibold, J Keyl, S Ting, N Vasileiadis, J Schmitz, ...
Computerized Medical Imaging and Graphics, 102238, 2023
Is There a Role of Artificial Intelligence in Preclinical Imaging?
A Küper, P Blanc-Durand, A Gafita, D Kersting, WP Fendler, C Seibold, ...
Seminars in Nuclear Medicine, 2023
Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains
S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
C Seibold, S Reiß, S Sarfraz, MA Fink, V Mayer, J Sellner, MS Kim, ...
33rd British Machine Vision Conference (BMVC), 2022
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