A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising. - Francesco Di Feola; Lorenzo Tronchin; Paolo Soda (CBMS, 2023)

Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins. - Carolina Adornato; Cecilia Assolito; Ermanno Cordelli; Francesco Di Feola; Valerio Guarrasi; Giulio Iannello; Lorenzo Marcoccia; Elena Mulero Ayllon; Rebecca Restivo; Aurora Rofena; Rosa Sicilia; Paolo Soda; et al. (Ital-IA, 2024)

Multi-Scale Texture Loss for CT denoising with GANs. - Francesco Di Feola; Lorenzo Tronchin; Valerio Guarrasi; Paolo Soda (CoRR, 2024)

Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS Cohort. - Francesco Di Feola; Marida De Maria; Göran Bergström; Anders Blomberg; Åse Johnsson; Pierangelo Veltri; Paolo Soda (CBMS, 2025)

Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. - Valerio Guarrasi; Francesco Di Feola; Rebecca Restivo; Lorenzo Tronchin; Paolo Soda (CBMS, 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)

MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation. - Daniele Molino; Francesco Di Feola; Eliodoro Faiella; Deborah Fazzini; Domiziana Santucci; Linlin Shen; Valerio Guarrasi; Paolo Soda (CoRR, 2025)

Texture-Aware StarGAN for CT data harmonisation. - Francesco Di Feola; Ludovica Pompilio; Cecilia Assolito; Valerio Guarrasi; Paolo Soda (CoRR, 2025)

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. - Daniele Molino; Francesco Di Feola; Linlin Shen; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation. - Irene Iele; Francesco Di Feola; Valerio Guarrasi; Paolo Soda (CoRR, 2025)