A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. - Camillo Maria Caruso; Valerio Guarrasi; Ermanno Cordelli; Rosa Sicilia; Silvia Gentile; Laura Messina; Michele Fiore; Claudia L. Piccolo; Bruno Beomonte Zobel; Giulio Iannello; Sara Ramella; Paolo Soda (J. Imaging, 2022)

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)

A Cascade of Learners for Firemen' Emergency Events Classification. - Camillo Maria Caruso; Paolo Soda; Carlo Giammichele; Francesca Rotilio; Rosa Sicilia (IEEE Access, 2023)

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)

A deep learning approach for overall survival prediction in lung cancer with missing values. - Camillo Maria Caruso; Valerio Guarrasi; Sara Ramella; Paolo Soda (Comput. Methods Programs Biomed., 2024)

Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets. - Camillo Maria Caruso; Paolo Soda; Valerio Guarrasi (CoRR, 2024)

MARIA: A multimodal transformer model for incomplete healthcare data. - Camillo Maria Caruso; Paolo Soda; Valerio Guarrasi (Comput. Biol. Medicine, 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)

Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining. - Daniele Molino; Camillo Maria Caruso; Filippo Ruffini; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises. - Afifa Khaled; Mohammed Sabir; Rizwan Qureshi; Camillo Maria Caruso; Valerio Guarrasi; Suncheng Xiang; S. Kevin Zhou (CoRR, 2025)