23 citations · 110 across the 24 of their papers we have counts for
5 papers · 1 filter
New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
Johannes Stegmaier
Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced datasets in the terabyte-range, however, can hard…
Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines
Johannes Stegmaier, Ralf Mikut
Many automatically analyzable scientific questions are well-posed and offer a variety of information about the expected outcome a priori. Although often being neglected, this prior…
Generating Semi-Synthetic Validation Benchmarks for Embryomics
Johannes Stegmaier, Julian Arz, Benjamin Schott +6
Systematic validation is an essential part of algorithm development. The enormous dataset sizes and the complexity observed in many recent time-resolved 3D fluorescence microscopy…
Robust Individual Circadian Parameter Estimation for Biosignal-based Personalisation of Cancer Chronotherapy
Benjamin Schott, Johannes Stegmaier, Alexandre Arbaud +3
In cancer treatment, chemotherapy is administered according a constant schedule. The chronotherapy approach, considering chronobiological drug delivery, adapts the chemotherapy pro…
Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases
Benjamin Schott, Johannes Stegmaier, Masanari Takamiya +1
Using the knowledge discovery framework, it is possible to explore object databases and extract groups of objects with highly heterogeneous movement behavior by efficiently integra…