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2017 Project-Team Activity Report
PARIETAL
Modelling brain structure, function and variability based on high-field MRI data.
Research centre: Saclay - Île-de-France
In partnership with: Centre CEA-Saclay

In collaboration with: CEA Neurospin



Field: Digital Health, Biology and Earth

Theme: Computational Neuroscience and Medicine
Keywords:
Computer Science and Digital Science:
  • A3.3. - Data and knowledge analysis
  • A3.3.2. - Data mining
  • A3.3.3. - Big data analysis
  • A3.4. - Machine learning and statistics
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.4. - Optimization and learning
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.7. - Kernel methods
  • A3.4.8. - Deep learning
  • A5.3.2. - Sparse modeling and image representation
  • A5.3.3. - Pattern recognition
  • A5.9.1. - Sampling, acquisition
  • A5.9.2. - Estimation, modeling
  • A5.9.6. - Optimization tools
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
Other Research Topics and Application Domains:
  • B1.2. - Neuroscience and cognitive science
  • B1.2.1. - Understanding and simulation of the brain and the nervous system
  • B1.2.2. - Cognitive science
  • B2.2.6. - Neurodegenerative diseases
  • B2.6.1. - Brain imaging