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Bilateral Contracts and Grants with Industry
Bibliography
Bilateral Contracts and Grants with Industry
Bibliography


2018 Project-Team Activity Report
SERPICO
Space-timE RePresentation, Imaging and cellular dynamics of molecular COmplexes
Research centre: Rennes - Bretagne-Atlantique
In partnership with: CNRS, Institut Curie

In collaboration with: UMR 144 - Compartimentation et dynamique cellulaires



Field: Digital Health, Biology and Earth

Theme: Computational Biology
Keywords:
Computer Science and Digital Science:
  • A3.1.1. - Modeling, representation
  • A3.3. - Data and knowledge analysis
  • A3.3.3. - Big data analysis
  • A3.4. - Machine learning and statistics
  • A3.4.1. - Supervised learning
  • A3.4.5. - Bayesian methods
  • 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
  • A5.3.3. - Pattern recognition
  • A5.3.4. - Registration
  • A5.4.1. - Object recognition
  • A5.4.4. - 3D and spatio-temporal reconstruction
  • A5.4.5. - Object tracking and motion analysis
  • A5.4.6. - Object localization
  • A5.9.1. - Sampling, acquisition
  • A5.9.2. - Estimation, modeling
  • A5.9.3. - Reconstruction, enhancement
  • A5.9.5. - Sparsity-aware processing
  • A5.9.6. - Optimization tools
  • A6.1.2. - Stochastic Modeling
  • A6.1.3. - Discrete Modeling (multi-agent, people centered)
  • A6.1.4. - Multiscale modeling
  • A6.1.5. - Multiphysics modeling
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A6.3. - Computation-data interaction
  • A6.3.1. - Inverse problems
  • A6.3.2. - Data assimilation
  • A6.3.3. - Data processing
  • A6.3.4. - Model reduction
  • A6.3.5. - Uncertainty Quantification
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
Other Research Topics and Application Domains:
  • B1.1.1. - Structural biology
  • B1.1.7. - Bioinformatics
  • B1.1.8. - Mathematical biology
  • B2.2.3. - Cancer
  • B2.6. - Biological and medical imaging