Current Projects
EXEGETE: Explainable Generative Deep Learning Methods for Medical Image and Signal Processing - PRIN: Progetti di Ricerca di Rilevante Interesse Nazionale – Bando 2022, Prot. 2022ENK9LS. 2023-2025.
INNOVA “Italian network of excellence for advanced diagnosis - Piano Nazionale per gli Investimenti Complementari al Piano Nazionale di Ripresa e Resilienza - Programma “Ecosistema Innovativo Della Salute”. 2023-2026.
DARE - DigitAl lifelong pRevEntion - Avviso MUR Decreto Legge 6 maggio 2021, n. 59, convertito, con modificazioni, dalla legge 1° luglio 2021, n. 101 - Piano Nazionale per gli investimenti Complementari - PNC al Piano nazionale di ripresa e resilienza. 2022-2026.
HEAL ITALIA - Health Extended ALliance for Innovative Therapies, Advanced Lab-research, and Integrated Approaches of Precision Medicine - Piano Nazionale di Ripresa e Resilienza - PNRR, Missione 4 “Istruzione e ricerca” – Componente 2 “Dalla ricerca all’impresa” – Investimento 1.3 – NextGenerationEU, Tematica 6. Diagnostica e Terapie Innovative nella Medicina di Precisione. 2022-2025.
Mathematical Models for Explainable Artificial Intelligence - Research Co-Operation Framework Agreement between University of Palermo, Italy e Brno University of Technology, Czech Republic. 2022-2025.
A Trustworthy Clinical Decision Support System for non-communicable diseases detection and prediction - DM 737/2021 “Criteri di riparto e utilizzazione del Fondo per la promozione e lo sviluppo delle politiche del Programma Nazionale per la Ricerca (PNR)”. 2022-2023.
Clifford Algebra based applications for medical image processing and their hardware/software implementation - Co-Operation Framework Agreement for the Establishment of Research Networking between University of Palermo, Italy; Universitat Politécnica De Catalunya, Spain; Brno University of Technology, Czech Republic. 2018-2023.
Old Projects
BD4BREAST - An Intelligent Framework for Clinical Big Data Analysis for Decision Support in the Diagnosis Process of Breast Pathologies - funded by MIUR (Italian Minister of Education, University and Research). BD4BREAST aimed at the development of a modular and distributed intelligent system operating on mammographic images and reports supporting the decisions of the radiologist during a new case diagnosis.
COST Action cHiPSet - High-Performance Modeling and Simulation for Big Data Applications (project code IC1406) funded by the European Commission. The Action cHiPSet was focused on the integration between High Performance Computing (HPC) and Modeling and Simulation (MS) domains for Big Data analytics.
Collaborations
- University of Cambridge, UK
- Brno Institute of Technology, Czech Republic
- Sano Centre for Computational Medicine, Poland
- Università degli studi della Campania Luigi Vanvitelli, Italy
- Krakow Institute of Technology, Poland
- Universitat Politècnica de Catalunya, Spain
- University of Pavia, Italy
- University of Padua, Italy
- Polytechnic of Turin, Italy
- Istituto di calcolo e reti ad alte prestazioni (ICAR-CNR), Italy
- University of Enna “Kore”, Italy
- University of PIcardie Jule Verne, France