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2016 Project-Team Activity Report
ARAMIS
Algorithms, models and methods for images and signals of the human brain
Research centre:
Paris
In partnership with: CNRS, INSERM, Université Pierre et Marie Curie (Paris 6)
In collaboration with: Institut du Cerveau et de la Moelle Epinière
In collaboration with: Institut du Cerveau et de la Moelle Epinière
Keywords:
Computer Science and Digital Science:
- 3.4. - Machine learning and statistics
- 3.4.1. - Supervised learning
- 3.4.2. - Unsupervised learning
- 3.4.4. - Optimization and learning
- 3.4.5. - Bayesian methods
- 3.4.7. - Kernel methods
- 5.3. - Image processing and analysis
- 5.3.2. - Sparse modeling and image representation
- 5.3.3. - Pattern recognition
- 5.3.4. - Registration
- 5.4.4. - 3D and spatio-temporal reconstruction
- 5.9. - Signal processing
- 5.9.4. - Signal processing over graphs
- 8.2. - Machine learning
- 8.3. - Signal analysis
- 8.6. - Decision support
Other Research Topics and Application Domains:
- 2. - Health
- 2.2.6. - Neurodegenerative diseases
- 2.6.1. - Brain imaging