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Computer Science - Computer Vision and Pattern Recognition
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
Fabian Hörst
,
Moritz Rempe
,
Helmut Becker
,
Lukas Heine
,
Julius Keyl
,
Jens Kleesiek
Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
Constantin Seibold
,
Hamza Kalisch
,
Lukas Heine
,
Simon Reiß
,
Jens Kleesiek
Brain Tumour Removing and Missing Modality Generation using 3D WDM
André Ferreira
,
Gijs Luijten
,
Behrus Puladi
,
Jens Kleesiek
,
Victor Alves
,
Jan Egger
Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
André Ferreira
,
Tiago Jesus
,
Behrus Puladi
,
Jens Kleesiek
,
Victor Alves
,
Jan Egger
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Alexander Jaus
,
Constantin Seibold
,
Simon Reiß
,
Zdravko Marinov
,
Keyi Li
,
Zeling Ye
,
Stefan Krieg
,
Jens Kleesiek
,
Rainer Stiefelhagen
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
Alexander Jaus
,
Simon Reiß
,
Jens Kleesiek
,
Rainer Stiefelhagen
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
Lukas Heine
,
Fabian Hörst
,
Jana Fragemann
,
Gijs Luijten
,
Miriam Balzer
,
Jan Egger
,
Fin Bahnsen
,
M. Saquib Sarfraz
,
Jens Kleesiek
,
Constantin Seibold
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation
André Ferreira
,
Naida Solak
,
Jianning Li
,
Philipp Dammann
,
Jens Kleesiek
,
Victor Alves
,
Jan Egger
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
M. Rempe
,
F. Hörst
,
C. Seibold
,
B. Hadaschik
,
M. Schlimbach
,
J. Egger
,
K. Kröninger
,
F. Breuer
,
M. Blaimer
,
J. Kleesiek
Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery
Maximilian Weber
,
Daniel Wild
,
Jens Kleesiek
,
Jan Egger
,
Christina Gsaxner
»
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