Francesco Di Feola

According to our database, Francesco Di Feola authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks.

Giulia Romoli, Alessia Capoccia, Filippo Ruffini, Francesco Di Feola, Luca Boldrini, Arturo Chiti, Renato Cuocolo, Tugba Akinci D'Antonoli, Fatemeh Darvizeh, Marcello Di Pumpo, Bradley J. Erickson, Liu Fang, Deborah Fazzini, Paola Feraco, Fabrizia Gelardi, Francesco Gossetti, Ana Isabel Hernáiz Ferrer, Michail E. Klontzas, Seyedmehdi Payabvash, Katrine Riklund, Sara N. Strandberg, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET.

Fatih Aksu, Laura Ciuffetti, Francesco Di Feola, Filippo Ruffini, Giulia Romoli, Fabrizia Gelardi, Arturo Chiti, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models.

Massimiliano Mantegna, Elena Mulero Ayllon, Alice Natalina Caragliano, Francesco Di Feola, Claudia Tacconi, Michele Fiore, Edy Ippolito, Carlo Greco, Sara Ramella, Philippe C. Cattin, Paolo Soda, Matteo Tortora, Valerio Guarrasi

CoRR, March, 2026

XGeM: 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

Comput. Medical Imaging Graph., 2026

2025

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation.

Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda

CoRR, August, 2025

Texture-Aware StarGAN for CT data harmonisation.

Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda

CoRR, March, 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, January, 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-scale texture loss for CT denoising with GANs.

Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda

AI Open, 2025

Medicine without boundaries: generative AI for translating medical data across modalities.

Valerio Guarrasi, Francesco Di Feola, Giulio Ianello, Irene Iele, Linlin Shen, Massimiliano Mantegna, Daniele Molino, Elena Mulero Ayllon, Ludovica Pompilio, Aurora Rofena, Marco Salmè, Rosa Sicilia, Matteo Tortora, Paolo Soda

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 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

Proceedings of the International Joint Conference on Neural Networks, 2025

Texture-Aware StarGAN for CT data harmonization.

Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

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, Matteo Tortora, Lorenzo Tronchin

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising.

Francesco Di Feola, Lorenzo Tronchin, Paolo Soda

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023