Scholar
Concetto Spampinato
Google Scholar ID: Xc2rx8j4O7UC
University of Catania
Citations & Impact
Citations
6,345
H-index
36
i10-index
96
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
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.
