Francesco Di Feola

Kontakt

Verksam som

Doktorand vid Institutionen för diagnostik och intervention Enhet: Doktorander

5A, Målpunkt H62, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

Publikationer Publikationer

Hybrid 3D CNN-MAMBA for emphysema classification in the SCAPIS cohort

2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Institute of Electrical and Electronics Engineers (IEEE) 2025 : 686-692

Di Feola, Francesco; De Maria, Marida; Bergström, Göran; et al.

Multi-scale texture loss for CT denoising with GANs

AI Open, Elsevier 2025, Vol. 6 : 142-154

Di Feola, Francesco; Tronchin, Lorenzo; Guarrasi, Valerio; et al.

A systematic review of intermediate fusion in multimodal deep learning for biomedical applications

Image and Vision Computing, Elsevier 2025, Vol. 158

Guarrasi, Valerio; Aksu, Fatih; Caruso, Camillo Maria; et al.

Whole-body image-to-image translation for a virtual scanner in a healthcare digital twin

2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Institute of Electrical and Electronics Engineers (IEEE) 2025 : 528-534

Guarrasi, Valerio; Di Feola, Francesco; Restivo, Rebecca; et al.

Virtual scanner: leveraging resilient generative ai for radiological imaging in the era of medical digital twins

Ital-IA 2024 Thematic Workshops: Proceedings of the Ital-IA Intelligenza Artificiale - Thematic Workshopsco-located with the 4th CINI National Lab AIIS Conference on Artificial Intelligence (Ital-IA 2024), CEUR-WS 2024 : 60-65

Adornato, Carolina; Assolito, Cecilia; Cordelli, Ermanno; et al.

A comparative study between paired and unpaired image quality assessment in low-dose CT denoising

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS): Proceedings, IEEE 2023 : 471-476

Di Feola, Francesco; Tronchin, Lorenzo; Soda, Paolo

Visa publikationer i DiVA