Included Themes

Biomedical imaging
Compressed sensing and sparse representations
Deep learning and machine learning methods in imaging
High-dimensional data analysis
Image acquisition, formation, restoration, reconstruction, segmentation, and recognition
Inverse problems in imaging
Mathematics of visualization
Optimal transport
Optimization in imaging applications
PDEs and variational methods in image processing
Quantum computing
Statistical and data science aspects in image processing
Tensor algebra and its applications
Topological data analysis
Uncertainty quantification