EN FR
EN FR
SERPICO - 2019
SERPICO - 2019
Project-Team Serpico
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Serpico
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


up Home | Next next


2019 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