Collaborations — Ongoing
Understanding and analyzing biopores and plant roots in Soil Cores using Semantic Segmentation of CT Images
To understand how processes in ecosystems work and how they are connected the analysis of soil systems is essential. Since traditional computer vision methods for analysing soil cores reach their limits the next step is to integrate deep learning methods. Therefore a sufficient amount of labeled ground truth data is needed. Since labeling this large […]
Understanding and analyzing plant roots using semantic segmentation of MRI images
The optimization of plants has long focused on the above-ground parts. Recently, new efforts are being made to exploit the potential below ground. To this end, our partners at the FZJ have developed an imaging system which enables imaging the root system throughout the growth of the plants using MRI. Besides qualitative analysis, a precise […]
Unisef
In the context of the Unisef project funded by Helmholtz AI, we implemented the prototype of a webservice to allow training and application of deep learning networks for segmentation running on the HPC infrastructure of DESY. The main idea here is to make DL based segmentation accessible and usable by non-experts, as well as complementing […]