
Fast reconstruction for PET scanner with incomplete sector set
PET image reconstruction - a theoretical overview with deep learning and compressive sensing
Enhanced reconstruction for PET scanner with a narrow field of view using backprojection method
Teaching
University undergraduate
- Signals and Systems (Lecturers)
- Signals and Systems (Lecturers)
- Signals and Systems (Exercises)
- Signals and Systems (Exercises)
University graduate
- Introduction to Data Science (Lecturers)
- Introduction to Data Science (Lecturers)
- Random Signals and Processes (Lecturers)
- Introduction to Data Science (Exercises)
- Introduction to Data Science (Exercises)
- Random Signals and Processes (Exercises)
Competences
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Computational and artificial intelligence
Neural networks Artificial neural networks Convolutional neural networks Multi-layer neural network -
Mathematics
Algorithms Machine learning algorithms Matching pursuit algorithms Projection algorithms Signal processing algorithms Iterative methods Expectation-maximization algorithms Iterative algorithms Method of moments Minimization Optimization Sampling methods Compressed sensing Monte Carlo methods -
Signal processing
Digital signal processing -
Computers and information processing
Matlab Image reconstruction -
Engineering in medicine and biology
Biomedical signal processing Biomedical image processing