2 papers
cs.CV2021
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets
Dominik Drees, Aaron Scherzinger, René Hägerling +2
Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but als…
cs.LG2018
Barista - a Graphical Tool for Designing and Training Deep Neural Networks
Soeren Klemm, Aaron Scherzinger, Dominik Drees +1
In recent years, the importance of deep learning has significantly increased in pattern recognition, computer vision, and artificial intelligence research, as well as in industry.…