Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (CBMS, 2023)

Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges. - Valerio Guarrasi; Lorenzo Tronchin; Camillo Maria Caruso; Aurora Rofena; Guido Manni; Fatih Aksu; Domenico Paolo; Giulio Iannello; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (Ital-IA, 2023)

Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (BIBM, 2024)

Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss. - Fatih Aksu; Ermanno Cordelli; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (ICPR (Workshops and Challenges, 2), 2024)

Towards AI-driven Next Generation Personalized Healthcare and Well-being. - Fatih Aksu; Alessandro Bria; Alice Natalina Caragliano; Camillo Maria Caruso; Wenting Chen; Ermanno Cordelli; Omar Coser; Arianna Francesconi; Leonardo Furia; Valerio Guarrasi; Giulio Iannello; Clemente Lauretti; et al. (Ital-IA, 2024)

NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (ICHI, 2025)

A systematic review of intermediate fusion in multimodal deep learning for biomedical applications. - Valerio Guarrasi; Fatih Aksu; Camillo Maria Caruso; Francesco Di Feola; Aurora Rofena; Filippo Ruffini; Paolo Soda (Image Vis. Comput., 2025)

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (Pattern Recognit. Lett., 2025)