The summer school includes practical and interactive sessions throughout the week, which will be used to encourage communication and hands on learning. These will include a poster session and a hands-on mini-project. This year’s available projects include:
- Microstructure model selection in diffusion MRI
- Multi-atlas segmentation of brain MRI scans for Alzheimer’s disease studies
- Machine Learning in Medical Imaging
- The Basic Augmented Reality Demo (BARD)
- Lung Image Analysis
- Deep learning for medical image segmentation
- Respiratory Motion Modelling
- TADPOLE Challenge: Prediction of Alzheimer’s Disease Evolution using Statistical Models and Machine Learning
- Building a surgical simulator with haptic feedback using chai3D
- Image Quality Transfer in MRI with Deep Neural Networks