Third-party Projects
With externally funded projects, Helmholtz Imaging aims to initiate cross-cutting research collaborations and perform innovative research in the field of imaging and data science.
Helmholtz Imaging has secured external funding for collaborative projects, in which we contribute our knowledge and expertise on cutting-edge imaging methodology.
These projects not only facilitate the advancement of knowledge but also enrich the Helmholtz Imaging community and stimulate interdisciplinary dialogue that drives progress in the field of imaging.
Explore these exceptional and captivating research projects!
Third-party Projects – Completed
Multi-task Deep Learning for Large-scale Multimodal Biomedical Image Analysis (MDLMA)
The MDLMA project aims to optimize biodegradable Mg-based implants by analyzing vast multimodal biomedical image data. Through deep learning, it seeks to improve implant properties by understanding the interplay of microstructure, mechanics, biology, and degradation. The project will develop multi-task deep learning methods for enhanced image analysis, offering a unified framework for broader application in biomedical imaging.