Constantin Seibold
Constantin Seibold
UK-Essen, Clinic for Nuclear Medicine
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Cited by
Cited by
Every annotation counts: Multi-label deep supervision for medical image segmentation
S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen
CVPR, 2021
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
C Seibold, S Reiß, J Kleesiek, R Stiefelhagen
AAAI, 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
IROS, 2021
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
MS Sarfraz, C Seibold, H Khalid, R Stiefelhagen
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
ACCV, 2020
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training
C Seibold, S Reiß, MS Sarfraz, R Stiefelhagen, J Kleesiek
MICCAI, 2022
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
Hierarchical nearest neighbor graph embedding for efficient dimensionality reduction
S Sarfraz, M Koulakis, C Seibold, R Stiefelhagen
CVPR, 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
ROBIO, 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, 2021
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, 2022
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
Z Marinov, S Vasileva, Q Wang, C Seibold, J Zhang, R Stiefelhagen
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, ...
ISBI, 2023
Graph-constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation
S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen
ECCV, 2022
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, ...
ISBI, 2021
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
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
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 107, 102238, 2023
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
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, ...
BMVC, 2022
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