69 citations · 217 across the 36 of their papers we have counts for
6 papers · 1 filter
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
Oliver Ester, Fabian Hörst, Constantin Seibold +9
The segmentation of histopathological whole slide images into tumourous and non-tumourous types of tissue is a challenging task that requires the consideration of both local and gl…
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
Constantin Seibold, Simon Reiß, Saquib Sarfraz +7
In clinical radiology reports, doctors capture important information about the patient's health status. They convey their observations from raw medical imaging data about the inner…
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training
Constantin Seibold, Simon Reiß, M. Saquib Sarfraz +2
When reading images, radiologists generate text reports describing the findings therein. Current state-of-the-art computer-aided diagnosis tools utilize a fixed set of predefined c…
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data
Lukas Scholch, Jonas Steinhauser, Maximilian Beichter +6
Structured Visual Content (SVC) such as graphs, flow charts, or the like are used by authors to illustrate various concepts. While such depictions allow the average reader to bette…
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
Alina Roitberg, Kunyu Peng, Zdravko Marinov +3
Visual recognition inside the vehicle cabin leads to safer driving and more intuitive human-vehicle interaction but such systems face substantial obstacles as they need to capture…
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold +1
Dimensionality reduction is crucial both for visualization and preprocessing high dimensional data for machine learning. We introduce a novel method based on a hierarchy built on 1…