Distinguishing Kidney Tumor Types Using Radiomics Features and Deep Features. - Roberto Magherini; Michaela Servi; Yary Volpe; Riccardo Campi; Francesco Buonamici (IEEE Access, 2024)

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification. - Antonio De Santis; Riccardo Campi; Matteo Bianchi; Marco Brambilla 001 (CoRR, 2024)

Letter to the Editor: How Useful are Current Chatbots Regarding Urology Patient Information? Comparison of the Ten Most Popular Chatbots' Responses About Female Urinary Incontinence. - Lorenzo Novara; Alice Antonioni; Lorenzo Vacca; Eleonora Rosato; Riccardo Lombardo; Cosimo De Nunzio; Vincenzo Li Marzi; Alessandro Giammo; Ferdinando Fusco; Sara Clelia Longo; Laura Pellizzari; Giacomo Fari; et al. (J. Medical Syst., 2024)

Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency. - Riccardo Campi; Mathyas Giudici; Nicolò Oreste Pinciroli Vago; Marco Brambilla 001; Piero Fraternali (AAAI Spring Symposia, 2025)

Towards Synthetic Concept Activation Vectors via Generative Models. - Riccardo Campi; Santiago Borrego; Antonio De Santis; Matteo Bianchi; Andrea Tocchetti; Marco Brambilla 001 (CVPR Workshops, 2025)

Machine learning-based forecast of Helmet-CPAP therapy failure in Acute Respiratory Distress Syndrome patients. - Riccardo Campi; Antonio De Santis; Paolo Colombo; Paolo Scarpazza; Marco Masseroli (Comput. Methods Programs Biomed., 2025)