Prof. Giovanni Bellitto - PeRCeiVe.AI Lab - Team Members
About Me
Giovanni Bellitto (Member, IEEE) received the Ph.D. degree from the University of Catania, Catania, Italy, in 2023.,He has been an Assistant Professor at the University of Catania since 2024. He has been a Member with the PeRCeiVe Lab Research Group since 2019. His research interests include machine learning and artificial intelligence, with a particular focus on bio-inspired methods for incremental learning, federated learning, and medical image analysis.
Academic staff
Papers
Projects
2026 - SAM-guided prompt learning for Multiple Sclerosis lesion segmentation
Federica Proietto Salanitri, Giovanni Bellitto, Salvatore Calcagno, Ulas Bagci, Concetto Spampinato, Manuela Pennisi
2025 - Decoding attention from the visual cortex: fMRI-based prediction of human saliency maps
Salvatore Calcagno, Marco Finocchiaro, Giovanni Bellitto, Concetto Spampinato, Federica Proietto Salanitri
2025 - Learning Joint Text and Visual Tokens in CLIP for Medical Image Analysis
Raffaele Mineo, Giovanni Bellitto, Federica Proietto Salanitri, Rutger Hendrix, Concetto Spampinato, Simone Palazzo
2025 - Pre-Forgettable Models: Prompt Learning as a Native Mechanism for Unlearning
Rutger Hendrix, Giovanni Patanè, Leonardo G Russo, Simone Carnemolla, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Matteo Pennisi
2025 - Zero-Shot Decentralized Federated Learning
A. Masano, M. Pennisi, F. Proietto Salanitri, C. Spampinato, G. Bellitto
2025 - Text-aligned radar-based sign language recognition for healthcare communication
Raffaele Mineo, Amelia Sorrenti, Gaia Caligiore, Federica Proietto Salanitri, Giovanni Bellitto, Senya Polikovsky, Sabina Fontana, Egidio Ragonese, Concetto Spampinato, Simone Palazzo
2025 - Conditional Visuo-Textual Prompt Learning for Medical Image Analysis
Raffaele Mineo, Giovanni Bellitto, Federica Proietto Salanitri, Rutger Hendrix, Ulas Bagci, Daniela Giordano, Concetto Spampinato, Simone Palazzo
2024 - Vito: Vision Transformer Optimization Via Knowledge Distillation On Decoders
Giovanni Bellitto, Renato Sortino, Paolo Spadaro, Simone Palazzo, Federica Proietto Salanitri, Giuseppe Fiameni, Efstratios Gavves, Concetto Spampinato
2024 - Saliency-driven experience replay for continual learning
Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato
2024 - FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
Luca Palazzo, Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato
2024 - Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation
Cristian Delle Castelle, Fabio Spampinato, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato
2024 - Wake-Sleep Consolidated Learning
Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Simone Palazzo, Concetto Spampinato
2024 - A convolutional-transformer model for ffr and ifr assessment from coronary angiography
Raffaele Mineo, F Proietto Salanitri, G Bellitto, I Kavasidis, O De Filippo, M Millesimo, GM De Ferrari, M Aldinucci, D Giordano, S Palazzo, F D’Ascenzo, C Spampinato
2024 - Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation.
Raffaele Mineo, Federica Proietto Salanitri, Giovanni Bellitto, Ovidio De Filippo, Fabrizio D'Ascenzo, Simone Palazzo, Concetto Spampinato
2024 - FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis
Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato
No Projects found.