Security and Privacy of the Data Science Knowledge Graph – SecureKG
Prof. Jean-Pierre Hubaux (EPFL)
Prof. Bryan Ford (EPFL)
- Large-scale multidisciplinary distributed scenarios
- Security, privacy and accountability challenges on the diverse and heterogeneous data sets whose lineage is managed by the Renga platform.
- Strict legal landscapes (e.g., LPD, EU GDPR) also call for stronger protection for personal data.
Development and benchmarking of advanced segmentation approaches
Developing interaction methods in CNN-based segmentation
Quantification of tissue composition in the heart
Scientific publications and tools dissemination
Micron-scale CT images are essential in studying tissue microstructure and alterations. Image analysis plays an important role for quantitative analysis. Better automatic / semi-automatic tools would allow high throughput and more accurate analysis.