Our group is involved on activities related to the analysis and understanding of images and patterns in general gaining an expertise on image processing,  pattern recognition, machine learning, complex network analysis and related applications in diagnostic medical imaging.
The aim of the research group is to develop and deploy related application in the field of diagnostic medical imaging, besides a particular attention is given to the "Big Data" approach, distributed computing on grid environments as the European Grid Infrastructure (EGI) and cloud services for large scale.

Our expertise includes (but is not limited to):
- Computer Aided Detection (CAD) systems for the analysis of biomedical images, in particular mammographic and lung images.
- Analysis of magnetic resonance images (MRI) which aims at studying the brain morphological alterations due to the Alzheimer's disease
- Study of the potentiality of imaging sources thomson (TS) conducted in terms of visibility of details in images of phase contrast (PC) and the mapping phase (PRI) compared to the detail visibility in absorption images.