Continual Learning: an Approach via Feature Maps Extrapolation (Short paper). - Edoardo De Rose (DC@AI*IA, 2023)

Artificial Intelligence in Medicine: From Imaging to Omics. - Carlo Adornetto; Pierangela Bruno; Francesco Calimeri; Edoardo De Rose; Gianluigi Greco (Ital-IA, 2023)

Features Selection Through Autoencoder Filtering and Deepshap: an Iterative Algorithm (Short Paper). - Edoardo De Rose; Carlo Adornetto; Francesco Calimeri; Gianluigi Greco (HC@AIxIA, 2024)

AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights. - Carlo Adornetto; Pierangela Bruno; Francesco Calimeri; Edoardo De Rose; Gianluigi Greco; Alessandro Quarta (Ital-IA, 2024)

μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation. - Pierangela Bruno; Edoardo De Rose; Carlo Adornetto; Francesco Calimeri; Sandro Donato; Raffaele Giuseppe Agostino; Daniela Amelio; Riccardo Barberi; Maria Carmela Cerra; Maria Caterina Crocco; Mariacristina Filice; Raffaele Filosa; et al. (CoRR, 2024)

A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images. - Edoardo De Rose; Ciro Benito Raggio; Ahmad Riccardo Rasheed; Pierangela Bruno; Paolo Zaffino; Salvatore De Rosa; Francesco Calimeri; Maria Francesca Spadea (Int. J. Comput. Assist. Radiol. Surg., 2025)