Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. - Francesca Murabito; Simone Palazzo; Federica Proietto Salanitri; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)

Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers. - Giovanni Bellitto; Federica Proietto Salanitri; Simone Palazzo; Francesco Rundo; Daniela Giordano; Concetto Spampinato (CoRR, 2020)

Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving. - Francesco Rundo; Roberto Leotta; Francesca Trenta; Giovanni Bellitto; Federica Proietto Salanitri; Vincenzo Piuri; Angelo Genovese; Ruggero Donida Labati; Fabio Scotti; Concetto Spampinato; Sebastiano Battiato (IMPROVE, 2021)

Hierarchical 3D Feature Learning forPancreas Segmentation. - Federica Proietto Salanitri; Giovanni Bellitto; Ismail Irmakci; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MLMI@MICCAI, 2021)

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. - Matteo Pennisi; Isaak Kavasidis; Concetto Spampinato; Vincenzo Schininà; Simone Palazzo; Federica Proietto Salanitri; Giovanni Bellitto; Francesco Rundo; Marco Aldinucci; Massimo Cristofaro; Paolo Campioni; Elisa Pianura; et al. (Artif. Intell. Medicine, 2021)

Hierarchical 3D Feature Learning for Pancreas Segmentation. - Federica Proietto Salanitri; Giovanni Bellitto; Ismail Irmakci; Simone Palazzo; Ulas Bagci; Concetto Spampinato (CoRR, 2021)

Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction. - Giovanni Bellitto; Federica Proietto Salanitri; Simone Palazzo; Francesco Rundo; Daniela Giordano; Concetto Spampinato (Int. J. Comput. Vis., 2021)

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. - Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ismail Irmakci; Michael B. Wallace; Candice W. Bolan; Megan Engels; Sanne Hoogenboom; Marco Aldinucci; Ulas Bagci; Daniela Giordano; Concetto Spampinato (EMBC, 2022)

A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans. - Francesco Rundo; Carmelo Pino; Riccardo Emanuele Sarpietro; Concetto Spampinato; Federica Proietto Salanitri (ICPR Workshops (1), 2022)

GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. - Matteo Pennisi; Federica Proietto Salanitri; Simone Palazzo; Carmelo Pino; Francesco Rundo; Daniela Giordano; Concetto Spampinato (DeCaF/FAIR@MICCAI, 2022)

Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (CoRR, 2022)

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. - Federica Proietto Salanitri; Giovanni Bellitto; Raffaele Mineo; Matteo Pennisi; Amelia Sorrenti; Salvatore Calcagno 002; Daniela Giordano; Simone Palazzo; Concetto Spampinato (BIBM, 2023)

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Concetto Spampinato; Simone Palazzo; Bruno Casella; Marco Aldinucci (ICCV (Workshops), 2023)

Selective Freezing for Efficient Continual Learning. - Amelia Sorrenti; Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Concetto Spampinato; Simone Palazzo (ICCV (Workshops), 2023)

FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography. - Raffaele Mineo; Amelia Sorrenti; Federica Proietto Salanitri (ICIAP Workshops (2), 2023)

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MICCAI (3), 2023)

TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. - Feiyan Hu; Simone Palazzo; Federica Proietto Salanitri; Giovanni Bellitto; Morteza Moradi 001; Concetto Spampinato; Kevin McGuinness (WACV, 2023)

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 (BIOSTEC (1), 2024)

Magnifying Facial Micro-movements for Cognitive Evaluation. - Raffaele Mineo; Federica Proietto Salanitri; Lisa Passarello; Alberto Sardella; Laura Messina; Manuela Pennisi; Daniela Giordano; Simone Palazzo; Concetto Spampinato (EMBC, 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 (ICIP, 2024)

Evidential Federated Learning for Skin Lesion Image Classification. - Rutger Hendrix; Federica Proietto Salanitri; Concetto Spampinato; Simone Palazzo; Ulas Bagci (ICPR (29), 2024)

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning. - Luca Palazzo; Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato (ICPR (25), 2024)

Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation. - Cristian Delle Castelle; Fabio Spampinato; Federica Proietto Salanitri; Giovanni Bellitto; Concetto Spampinato (AIPAD/PILM@MICCAI, 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 (NeurIPS, 2024)

Selective Attention-based Modulation for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (CoRR, 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 (Comput. Vis. Image Underst., 2024)

A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. - Raffaele Mineo; Federica Proietto Salanitri; Giovanni Bellitto; Isaak Kavasidis; Ovidio De Filippo; M. Millesimo; Gaetano Maria de Ferrari; Marco Aldinucci; Daniela Giordano; Simone Palazzo; Fabrizio D'Ascenzo; Concetto Spampinato (IEEE Trans. Medical Imaging, 2024)

Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers. - Raffaele Mineo; Isaak Kavasidis; Federica Proietto Salanitri; Lisa Passarello; Giovanni Piccininno; Vincenzo Masciale; Alessandro Anselmo; Cristiano Convertino; Domenico Rotondi; Nicola Laurieri; Simone Palazzo; Concetto Spampinato; et al. (CBMS, 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 (ISBI, 2025)

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. - Hongyi Pan; Gorkem Durak; Elif Keles; Deniz Seyithanoglu; Zheyuan Zhang; Alpay Medetalibeyoglu; Halil Ertugrul Aktas; Andrea Mia Bejar; Ziliang Hong; Yavuz Taktak; Gulbiz Dagoglu Kartal; Sukru Mehmet Erturk; et al. (CoRR, 2025)

Wake-Sleep Consolidated Learning. - Amelia Sorrenti; Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Simone Palazzo; Concetto Spampinato (IEEE Trans. Neural Networks Learn. Syst., 2025)