Features
Federated learning for multi-center studies
AI-based workflow design and execution
Seamless PACS integration
Containerized processing with Kubernetes and Docker
nnU-Net integration for segmentation
MITK Workbench for interactive image viewing
Standardized interfaces for algorithm sharing
Modular and extensible architecture
Web-based user interface for platform management
Open-source with community contributions
Supports distributed method development
Built-in nnU-Net out-of-the-box segmentation
MITK Workbench for interactive medical image processing
Containerized data processing
Web-based UI for platform management
Tissue-agnostic radiomics feature extraction
Automated segmentation and quantification (prostate, brain, liver, breast, lung)
QP-Prostate: PI-RADS-compliant prostate MRI analysis (FDA, CE, Health Canada)
QP-Brain: brain volumetry and white matter hyperintensity analysis
QP-Liver: liver fat and iron concentration quantification
QP-Breast: breast MRI AI for cancer detection (CE, UKCA marked)
QP-Lung: lung imaging analysis
QP-Insights: imaging data management, harmonization, multi-omics linking
Integration with PACS for clinical workflow
Link imaging data with EHR and multi-omics data
Patient stratification for clinical trials
De-identified patient registry (200K+ cancer patients)
HIPAA, GDPR, ISO 27001:2022 compliant
Cloud-based on Microsoft Azure with secure storage
Drug development partnership support
