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2019 Project-Team Activity Report
MORPHEME
Morphologie et Images
In partnership with: CNRS, Université Nice - Sophia Antipolis

In collaboration with: Institut de Biologie de Valrose, Laboratoire informatique, signaux systèmes de Sophia Antipolis (I3S)



Field: Digital Health, Biology and Earth

Theme: Computational Biology
Keywords:
Computer Science and Digital Science:
  • A3.4. - Machine learning and statistics
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.4. - Optimization and learning
  • A3.4.6. - Neural networks
  • A3.4.7. - Kernel methods
  • A3.4.8. - Deep learning
  • A5.3. - Image processing and analysis
  • A5.3.2. - Sparse modeling and image representation
  • A5.3.4. - Registration
  • A5.4.1. - Object recognition
  • A5.4.3. - Content retrieval
  • A5.4.4. - 3D and spatio-temporal reconstruction
  • A5.4.5. - Object tracking and motion analysis
  • A5.4.6. - Object localization
  • A5.9. - Signal processing
  • A5.9.3. - Reconstruction, enhancement
  • A5.9.5. - Sparsity-aware processing
  • A5.9.6. - Optimization tools
  • A6.1. - Methods in mathematical modeling
  • A6.1.1. - Continuous Modeling (PDE, ODE)
  • A6.1.2. - Stochastic Modeling
  • A6.3.1. - Inverse problems
Other Research Topics and Application Domains:
  • B1.1. - Biology
  • B1.1.3. - Developmental biology
  • B2.6. - Biological and medical imaging