Alzheimer's disease (AD) is the most widespread and studied neurodegenerative disease and it is caused by the co-occurrence of multiple factors. One of the most used techniques to investigate disease occurrence and characterization is medical imaging, specifically MRI. Over the years, MRIs have undergone technological advancements in the quest of...

The development of deep learning has offered optimistic prospects for the analysis of medical images, holding the potential to enhance healthcare and patient results. Nonetheless, the dominant approach to training deep learning models relies on substantial amounts of labeled training data, a process that is laborious and financially burdensome when...

The goal of the research is to investigate the structural 3D brain T1-weighted MRI as tool to infer information about Amyotrophic Lateral Sclerosis (ALS). The project poses a challenge because T1-weighted MRI has traditionally been overlooked by clinicians, as it does not provide visual information that can be easily perceived by the human eye.

Sarcopenia is a disease involving muscle loss that is currently assesed via CT scan. The ultimate scope of this project is to develop a machine diagnosing Sarcopenia disease with low-cost and non-invasive techniques. To this aim the project required to build ad hoc acquisition machines based on Ultrasounds, in order to get RF data and B-mode...