Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
B-FAIR project
LEGO-AI project
FAIR project
VONGOLA project
(HPC) “GenF” project
rAIdD project
NEUROKIT2E project
Exploring the Impact of Model Parameters and Components on Video Saliency Prediction with Foundation Models
Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning
Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs
Ethical framework for responsible foundational models in medical imaging
Research Experience
PeRCeiVe.AI Lab is a research group at the University of Catania, comprising academic staff, postdocs, and PhD students.
Background
Research interests span all aspects of computer vision, from low-level vision to video understanding, scene understanding, and machine learning applications in areas such as robotics.