TORTORA, MATTEO
TORTORA, MATTEO
100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni
Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
2023-01-01 Nibid, L.; Greco, C.; Cordelli, E.; Sabarese, G.; Fiore, M.; Liu, C. Z.; Ippolito, E.; Sicilia, R.; Miele, M.; Tortora, M.; Taffon, C.; Rakaee, M.; Soda, P.; Ramella, S.; Perrone, G.
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma
2021-01-01 Tortora, M.; Cordelli, E.; Sicilia, R.; Miele, M.; Matteucci, P.; Iannello, G.; Ramella, S.; Soda, P.
Exploring deep pathomics in lung cancer
2021-01-01 Liu, C. Z.; Sicilia, R.; Tortora, M.; Cordelli, E.; Nibid, L.; Sabarese, G.; Perrone, G.; Fiore, M.; Ramella, S.; Soda, P.
Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning
2023-01-01 Furia, L.; Tortora, M.; Soda, P.; Sicilia, R.
Machine learning predicts pulmonary Long Covid sequelae using clinical data
2024-01-01 Cordelli, E.; Soda, P.; Citter, S.; Schiavon, E.; Salvatore, C.; Fazzini, D.; Clementi, G.; Cellina, M.; Cozzi, A.; Bortolotto, C.; Preda, L.; Francini, L.; Tortora, M.; Castiglioni, I.; Papa, S.; Sona, D.; Alì, M.
PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction
2022-01-01 Tortora, M.; Cordelli, E.; Soda, P.
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
2023-01-01 Tortora, M.; Cordelli, E.; Sicilia, R.; Nibid, L.; Ippolito, E.; Perrone, G.; Ramella, S.; 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.
Time-window SIQR analysis of COVID-19 outbreak and containment measures in italy
2020-01-01 Cordelli, E.; Tortora, M.; Sicilia, R.; Soda, P.
Towards AI-driven Next Generation Personalized Healthcare and Well-being
2024-01-01 Aksu, F.; Bria, A.; Caragliano, A. N.; Caruso, C. M.; Chen, W.; Cordelli, E.; Coser, O.; Francesconi, A.; Furia, L.; Guarrasi, V.; Iannello, G.; Lauretti, C.; Manni, G.; Marino, G.; Paolo, D.; Ruffini, F.; Shen, L.; Sicilia, R.; Soda, P.; Tamantini, C.; Tortora, M.; Wu, Z.; Zollo, L.
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 |
|---|---|---|---|
| Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer | 1-gen-2023 | Nibid, L.; Greco, C.; Cordelli, E.; Sabarese, G.; Fiore, M.; Liu, C. Z.; Ippolito, E.; Sicilia, R.; Miele, M.; Tortora, M.; Taffon, C.; Rakaee, M.; Soda, P.; Ramella, S.; Perrone, G. | |
| Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma | 1-gen-2021 | Tortora, M.; Cordelli, E.; Sicilia, R.; Miele, M.; Matteucci, P.; Iannello, G.; Ramella, S.; Soda, P. | |
| Exploring deep pathomics in lung cancer | 1-gen-2021 | Liu, C. Z.; Sicilia, R.; Tortora, M.; Cordelli, E.; Nibid, L.; Sabarese, G.; Perrone, G.; Fiore, M.; Ramella, S.; Soda, P. | |
| Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning | 1-gen-2023 | Furia, L.; Tortora, M.; Soda, P.; Sicilia, R. | |
| Machine learning predicts pulmonary Long Covid sequelae using clinical data | 1-gen-2024 | Cordelli, E.; Soda, P.; Citter, S.; Schiavon, E.; Salvatore, C.; Fazzini, D.; Clementi, G.; Cellina, M.; Cozzi, A.; Bortolotto, C.; Preda, L.; Francini, L.; Tortora, M.; Castiglioni, I.; Papa, S.; Sona, D.; Alì, M. | |
| PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction | 1-gen-2022 | Tortora, M.; Cordelli, E.; Soda, P. | |
| RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy | 1-gen-2023 | Tortora, M.; Cordelli, E.; Sicilia, R.; Nibid, L.; Ippolito, E.; Perrone, G.; Ramella, S.; 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. | |
| Time-window SIQR analysis of COVID-19 outbreak and containment measures in italy | 1-gen-2020 | Cordelli, E.; Tortora, M.; Sicilia, R.; Soda, P. | |
| Towards AI-driven Next Generation Personalized Healthcare and Well-being | 1-gen-2024 | Aksu, F.; Bria, A.; Caragliano, A. N.; Caruso, C. M.; Chen, W.; Cordelli, E.; Coser, O.; Francesconi, A.; Furia, L.; Guarrasi, V.; Iannello, G.; Lauretti, C.; Manni, G.; Marino, G.; Paolo, D.; Ruffini, F.; Shen, L.; Sicilia, R.; Soda, P.; Tamantini, C.; Tortora, M.; Wu, Z.; Zollo, L. | |
| 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. |