TRONCHIN, LORENZO
TRONCHIN, LORENZO
Facoltà Dipartimentale di Ingegneria
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges
2023-01-01 Guarrasi, V.; Tronchin, L.; Caruso, C. M.; Rofena, A.; Manni, G.; Aksu, F.; Paolo, D.; Iannello, G.; Sicilia, R.; Cordelli, E.; Soda, P.
Deep Generative Models for Healthcare: Improved Generalisation and Interpretability
2024-04-26 Tronchin, Lorenzo
Making AI trustworthy in multimodal and healthcare scenarios
2023-01-01 Cordelli, E.; Guarrasi, V.; Iannello, G.; Ruffini, F.; Sicilia, R.; Soda, P.; Tronchin, L.
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
2024-01-01 Ruffini, F.; Tronchin, L.; Wu, Z.; Chen, W.; Soda, P.; Shen, L.; Guarrasi, V.
Multimodal explainability via latent shift applied to COVID-19 stratification
2024-01-01 Guarrasi, V.; Tronchin, L.; Albano, D.; Faiella, E.; Fazzini, D.; Santucci, D.; Soda, P.
Sustainable AI: inside the deep, alongside the green
2023-01-01 Conte, F.; Cordelli, E.; Guarrasi, V.; Iannello, G.; Sicilia, R.; Soda, P.; Tortora, M.; Tronchin, L.
Translating Image XAI to Multivariate Time Series
2024-01-01 Tronchin, L.; Cordelli, E.; Celsi, L. R.; Maccagnola, D.; Natale, M.; Soda, P.; Sicilia, R.
Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins
2024-01-01 Adornato, C.; Assolito, C.; Cordelli, E.; Di Feola, F.; Guarrasi, V.; Iannello, G.; Marcoccia, L.; Ayllon, E. M.; Restivo, R.; Rofena, A.; Sicilia, R.; Soda, P.; Tortora, M.; Tronchin, L.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges | 1-gen-2023 | Guarrasi, V.; Tronchin, L.; Caruso, C. M.; Rofena, A.; Manni, G.; Aksu, F.; Paolo, D.; Iannello, G.; Sicilia, R.; Cordelli, E.; Soda, P. | |
| Deep Generative Models for Healthcare: Improved Generalisation and Interpretability | 26-apr-2024 | Tronchin, Lorenzo | |
| Making AI trustworthy in multimodal and healthcare scenarios | 1-gen-2023 | Cordelli, E.; Guarrasi, V.; Iannello, G.; Ruffini, F.; Sicilia, R.; Soda, P.; Tronchin, L. | |
| Multi-Dataset Multi-Task Learning for COVID-19 Prognosis | 1-gen-2024 | Ruffini, F.; Tronchin, L.; Wu, Z.; Chen, W.; Soda, P.; Shen, L.; Guarrasi, V. | |
| Multimodal explainability via latent shift applied to COVID-19 stratification | 1-gen-2024 | Guarrasi, V.; Tronchin, L.; Albano, D.; Faiella, E.; Fazzini, D.; Santucci, D.; Soda, P. | |
| Sustainable AI: inside the deep, alongside the green | 1-gen-2023 | Conte, F.; Cordelli, E.; Guarrasi, V.; Iannello, G.; Sicilia, R.; Soda, P.; Tortora, M.; Tronchin, L. | |
| Translating Image XAI to Multivariate Time Series | 1-gen-2024 | Tronchin, L.; Cordelli, E.; Celsi, L. R.; Maccagnola, D.; Natale, M.; Soda, P.; Sicilia, R. | |
| Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins | 1-gen-2024 | Adornato, C.; Assolito, C.; Cordelli, E.; Di Feola, F.; Guarrasi, V.; Iannello, G.; Marcoccia, L.; Ayllon, E. M.; Restivo, R.; Rofena, A.; Sicilia, R.; Soda, P.; Tortora, M.; Tronchin, L. |