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2016 Project-Team Activity Report
GALEN
Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
Research centre:
Saclay - Île-de-France
In partnership with: Ecole Centrale Paris
Keywords:
Computer Science and Digital Science:
- 3.4. - Machine learning and statistics
- 3.4.1. - Supervised learning
- 3.4.2. - Unsupervised learning
- 3.4.3. - Reinforcement learning
- 3.4.4. - Optimization and learning
- 3.4.5. - Bayesian methods
- 3.4.6. - Neural networks
- 3.4.7. - Kernel methods
- 3.4.8. - Deep learning
- 5.3.1. - Compression
- 5.3.2. - Sparse modeling and image representation
- 5.3.3. - Pattern recognition
- 5.3.4. - Registration
- 5.4.1. - Object recognition
- 5.4.2. - Activity recognition
- 5.4.4. - 3D and spatio-temporal reconstruction
- 5.9. - Signal processing
- 5.9.1. - Sampling, acquisition
- 5.9.2. - Estimation, modeling
- 5.9.3. - Reconstruction, enhancement
- 5.9.4. - Signal processing over graphs
- 5.9.5. - Sparsity-aware processing
- 5.9.6. - Optimization tools
- 6.2.3. - Probabilistic methods
- 6.2.4. - Statistical methods
- 6.2.6. - Optimization
- 6.2.7. - High performance computing
- 6.3.1. - Inverse problems
- 7.2. - Discrete mathematics, combinatorics
- 7.3. - Optimization
- 7.8. - Information theory
- 7.9. - Graph theory
- 8.2. - Machine learning
- 8.3. - Signal analysis
- 8.5. - Robotics
Other Research Topics and Application Domains:
- 2.2.3. - Cancer
- 2.6.1. - Brain imaging
- 2.6.2. - Cardiac imaging
- 2.6.3. - Biological Imaging
- 9.4.2. - Mathematics
- 9.4.5. - Data science