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- Multi-view learning and domain adaptation for heterogeneous medical imaging data
- Multiscale simulations for translational explorations of emphysema
- Machine learning based radiomics-genomics integration for advanced disease quantification
- Machine learning for the interpretable labelling of the cardiac microstructure from ultra-resolution synchrotron phase-contrast x-ray images
- Deep learning for computer-guided foetal robotic surgery
- Coexistence of synchronization and desynchronization - Data-driven analysis of coupled network models
- Big Data and models for a better understanding and management of Heart-Brain pathologies in the young (Young-Heart@Brain)
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