TRAVERSO, ALBERTO
TRAVERSO, ALBERTO
Facoltà di Medicina e Chirurgia
90P: Clinical validation of the M5L lung computer-assisted detection system
2016-01-01 Traverso, Alberto; Torres, E. Lopez; Bracco, C.; Campanella, D.; Fantacci, M. E.; Regge, D.; Saletta, M.; Stasi, M.; Vassallo, L.; Cerello, P.
A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies
2019-01-01 Vassallo, L.; Traverso, A; Agnello, M.; Bracco, C.; Campanella, D.; Chiara, G.; Fantacci, M. E.; Lopez Torres, E.; Manca, A.; Saletta, M.; Giannini, V.; Mazzetti, S.; Stasi, M.; Cerello, P.; Regge, D.
A federated learning system for precision oncology in Europe: DigiONE
2024-01-01 Mahon, P.; Chatzitheofilou, I.; Dekker, A.; Fernandez, X.; Hall, G.; Helland, A.; Traverso, A.; Van Marcke, C.; Vehreschild, J.; Ciliberto, G.; Tonon, G.
A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery
2024-01-01 Wang, Z.; Gao, H.; Wang, X.; Grzegorzek, M.; Li, J.; Sun, H.; Ma, Y.; Zhang, X.; Zhang, Z.; Dekker, A.; Traverso, A.; Zhang, Z.; Qian, L.; Xiao, M.; Feng, Y.
A PET/CT radiomics model for predicting distant metastasis in early-stage non–small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study
2024-01-01 Yu, L.; Zhang, Z.; Yi, H. Q.; Wang, J.; Li, J.; Wang, X.; Bai, H.; Ge, H.; Zheng, X.; Ni, J.; Qi, H.; Guan, Y.; Xu, W.; Zhu, Z.; Xing, L.; Dekker, A.; Wee, L.; Traverso, A.; Ye, Z.; Yuan, Z.
A preoperative Artificial Intelligence model to estimate cancer-specific mortality in nonmetastatic kidney cancer patients
2026-01-01 Larcher, A.; Traverso, A.; Scuri, P.; Capitanio, U.; Musso, G.; Canibus, D.; Barbieri, S.; Caivano, L.; Zambello, A.; Denti, M.; Campi, R.; Serni, S.; Granata, S.; Palmisano, A.; Vignale, D.; Montorsi, F.; Esposito, A.; Tacchetti, C.; Salonia, A.
A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma
2022-01-01 Wen, Q; Wang, Zx; Traverso, A; Liu, Yj; Xu, Rf; Feng, Y; Qian, Lx
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
2021-01-01 Pfaehler, E.; Zhovannik, I.; Wei, L.; Boellaard, R.; Dekker, A.; Monshouwer, R.; El Naqa, I.; Bussink, J.; Gillies, R.; Wee, L.; Traverso, A
A web- and cloud- based service for the clinical use of a CAD (Computer Aided Detection) System Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies)
2017-01-01 Fantacci, M. E.; Traverso, A.; Bagnasco, S.; Bracco, C.; Campanella, D.; Chiara, G.; Lopez Torres, E.; Manca, A.; Regge, D.; Saletta, M.; Stasi, M.; Vallero, S.; Vassallo, L.; Cerello, P.
A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans
2015-01-01 Cerello, P.; Traverso, Alberto; Sottocornola, C.; Saletta, M.; Retico, A.; Peroni, C.; Pennanzio, F.; Lopez Torres, E.; Fiorina, E.; Camarlinghi, N.; Bagnasco, S.; M., E. Fantacci
AI assistance in tumor multidisciplinary teams
2026-01-01 Geukes Foppen, R. J.; Morkunas, M.; Traverso, A.; Dienstmann, R.
AI-HOPE Lung Cancer: a multicenter real-world registry integrating artificial intelligence for metastatic non-small-cell lung cancer
2026-01-01 Ogliari, F. R.; Ferrara, M.; Huijs, J.; Traverso, A.; Barbieri, S.; Tiano, D.; Scuri, P.; Celada, D.; Papotto, L.; Oresti, S.; Ferrara, R.; Steens, M.; Steendam, C.; Merlini, A.; Luciani, A.; Lang, D.; Grisanti, S.; Genova, C.; Gemelli, M.; Reni, M.
An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer
2022-01-01 Feng, Y.; Wang, Z.; Xiao, M.; Li, J.; Su, Y.; Delvoux, B.; Zhang, Z.; Dekker, A.; Xanthoulea, S.; Zhang, Z.; Traverso, A; Romano, A.; Zhang, Z.; Liu, C.; Gao, H.; Wang, S.; Qian, L.
Applications of generative adversarial networks (GANs) in radiotherapy: narrative review
2022-01-01 Wang, Z.; Lorenzut, G.; Zhang, Z.; Dekker, A.; Traverso, A.
Artificial intelligence applications to improve the treatment of locally advanced non-small cell lung cancers
2021-01-01 Hope, A.; Verduin, M.; Dilling, T. J.; Choudhury, A.; Fijten, R.; Wee, L.; Aerts, H. J. W. L.; El Naqa, I.; Mitchell, R.; Vooijs, M.; Dekker, A.; De Ruysscher, D.; Traverso, A
Artificial Intelligence in Radiation Therapy
2022-01-01 Fu, Y.; Zhang, H.; Morris, E. D.; Glide-Hurst, C. K.; Pai, S.; Traverso, A; Wee, L.; Hadzic, I.; Lonne, P. -I.; Shen, C.; Liu, T.; Yang, X.
Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach
2024-01-01 Wang, Z.; Zhang, Z.; Traverso, A.; Dekker, A.; Qian, L.; Sun, P.
Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth
2020-01-01 Welch, M. L.; Mcintosh, C.; Purdie, T. G.; Wee, L.; Traverso, A; Dekker, A.; Haibe-Kains, B.; Jaffray, D. A.
Clinical analysis and artificial intelligence survival prediction of serous ovarian cancer based on preoperative circulating leukocytes
2022-01-01 Feng, Y.; Wang, Z.; Cui, R.; Xiao, M.; Gao, H.; Bai, H.; Delvoux, B.; Zhang, Z.; Dekker, A.; Romano, A.; Wang, S.; Traverso, A; Liu, C.; Zhang, Z.
Clinical validation of the M5L lung computer-assisted detection system
2016-01-01 Lopez Torres, Ernesto; Bagnasco, Stefano; Bracco, Christian; Campanella, Delia; Fantacci, Maria Evelina; Lusso, Stefano; Regge, Daniele; Saletta, Marco; Stasi, Michele; Vallero, Sara; Vassallo, Lorenzo; Cerello, Piergiorgio; Traverso, Alberto
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 90P: Clinical validation of the M5L lung computer-assisted detection system | 1-gen-2016 | Traverso, Alberto; Torres, E. Lopez; Bracco, C.; Campanella, D.; Fantacci, M. E.; Regge, D.; Saletta, M.; Stasi, M.; Vassallo, L.; Cerello, P. | |
| A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies | 1-gen-2019 | Vassallo, L.; Traverso, A; Agnello, M.; Bracco, C.; Campanella, D.; Chiara, G.; Fantacci, M. E.; Lopez Torres, E.; Manca, A.; Saletta, M.; Giannini, V.; Mazzetti, S.; Stasi, M.; Cerello, P.; Regge, D. | |
| A federated learning system for precision oncology in Europe: DigiONE | 1-gen-2024 | Mahon, P.; Chatzitheofilou, I.; Dekker, A.; Fernandez, X.; Hall, G.; Helland, A.; Traverso, A.; Van Marcke, C.; Vehreschild, J.; Ciliberto, G.; Tonon, G. | |
| A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery | 1-gen-2024 | Wang, Z.; Gao, H.; Wang, X.; Grzegorzek, M.; Li, J.; Sun, H.; Ma, Y.; Zhang, X.; Zhang, Z.; Dekker, A.; Traverso, A.; Zhang, Z.; Qian, L.; Xiao, M.; Feng, Y. | |
| A PET/CT radiomics model for predicting distant metastasis in early-stage non–small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study | 1-gen-2024 | Yu, L.; Zhang, Z.; Yi, H. Q.; Wang, J.; Li, J.; Wang, X.; Bai, H.; Ge, H.; Zheng, X.; Ni, J.; Qi, H.; Guan, Y.; Xu, W.; Zhu, Z.; Xing, L.; Dekker, A.; Wee, L.; Traverso, A.; Ye, Z.; Yuan, Z. | |
| A preoperative Artificial Intelligence model to estimate cancer-specific mortality in nonmetastatic kidney cancer patients | 1-gen-2026 | Larcher, A.; Traverso, A.; Scuri, P.; Capitanio, U.; Musso, G.; Canibus, D.; Barbieri, S.; Caivano, L.; Zambello, A.; Denti, M.; Campi, R.; Serni, S.; Granata, S.; Palmisano, A.; Vignale, D.; Montorsi, F.; Esposito, A.; Tacchetti, C.; Salonia, A. | |
| A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma | 1-gen-2022 | Wen, Q; Wang, Zx; Traverso, A; Liu, Yj; Xu, Rf; Feng, Y; Qian, Lx | |
| A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features | 1-gen-2021 | Pfaehler, E.; Zhovannik, I.; Wei, L.; Boellaard, R.; Dekker, A.; Monshouwer, R.; El Naqa, I.; Bussink, J.; Gillies, R.; Wee, L.; Traverso, A | |
| A web- and cloud- based service for the clinical use of a CAD (Computer Aided Detection) System Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies) | 1-gen-2017 | Fantacci, M. E.; Traverso, A.; Bagnasco, S.; Bracco, C.; Campanella, D.; Chiara, G.; Lopez Torres, E.; Manca, A.; Regge, D.; Saletta, M.; Stasi, M.; Vallero, S.; Vassallo, L.; Cerello, P. | |
| A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans | 1-gen-2015 | Cerello, P.; Traverso, Alberto; Sottocornola, C.; Saletta, M.; Retico, A.; Peroni, C.; Pennanzio, F.; Lopez Torres, E.; Fiorina, E.; Camarlinghi, N.; Bagnasco, S.; M., E. Fantacci | |
| AI assistance in tumor multidisciplinary teams | 1-gen-2026 | Geukes Foppen, R. J.; Morkunas, M.; Traverso, A.; Dienstmann, R. | |
| AI-HOPE Lung Cancer: a multicenter real-world registry integrating artificial intelligence for metastatic non-small-cell lung cancer | 1-gen-2026 | Ogliari, F. R.; Ferrara, M.; Huijs, J.; Traverso, A.; Barbieri, S.; Tiano, D.; Scuri, P.; Celada, D.; Papotto, L.; Oresti, S.; Ferrara, R.; Steens, M.; Steendam, C.; Merlini, A.; Luciani, A.; Lang, D.; Grisanti, S.; Genova, C.; Gemelli, M.; Reni, M. | |
| An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer | 1-gen-2022 | Feng, Y.; Wang, Z.; Xiao, M.; Li, J.; Su, Y.; Delvoux, B.; Zhang, Z.; Dekker, A.; Xanthoulea, S.; Zhang, Z.; Traverso, A; Romano, A.; Zhang, Z.; Liu, C.; Gao, H.; Wang, S.; Qian, L. | |
| Applications of generative adversarial networks (GANs) in radiotherapy: narrative review | 1-gen-2022 | Wang, Z.; Lorenzut, G.; Zhang, Z.; Dekker, A.; Traverso, A. | |
| Artificial intelligence applications to improve the treatment of locally advanced non-small cell lung cancers | 1-gen-2021 | Hope, A.; Verduin, M.; Dilling, T. J.; Choudhury, A.; Fijten, R.; Wee, L.; Aerts, H. J. W. L.; El Naqa, I.; Mitchell, R.; Vooijs, M.; Dekker, A.; De Ruysscher, D.; Traverso, A | |
| Artificial Intelligence in Radiation Therapy | 1-gen-2022 | Fu, Y.; Zhang, H.; Morris, E. D.; Glide-Hurst, C. K.; Pai, S.; Traverso, A; Wee, L.; Hadzic, I.; Lonne, P. -I.; Shen, C.; Liu, T.; Yang, X. | |
| Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach | 1-gen-2024 | Wang, Z.; Zhang, Z.; Traverso, A.; Dekker, A.; Qian, L.; Sun, P. | |
| Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth | 1-gen-2020 | Welch, M. L.; Mcintosh, C.; Purdie, T. G.; Wee, L.; Traverso, A; Dekker, A.; Haibe-Kains, B.; Jaffray, D. A. | |
| Clinical analysis and artificial intelligence survival prediction of serous ovarian cancer based on preoperative circulating leukocytes | 1-gen-2022 | Feng, Y.; Wang, Z.; Cui, R.; Xiao, M.; Gao, H.; Bai, H.; Delvoux, B.; Zhang, Z.; Dekker, A.; Romano, A.; Wang, S.; Traverso, A; Liu, C.; Zhang, Z. | |
| Clinical validation of the M5L lung computer-assisted detection system | 1-gen-2016 | Lopez Torres, Ernesto; Bagnasco, Stefano; Bracco, Christian; Campanella, Delia; Fantacci, Maria Evelina; Lusso, Stefano; Regge, Daniele; Saletta, Marco; Stasi, Michele; Vallero, Sara; Vassallo, Lorenzo; Cerello, Piergiorgio; Traverso, Alberto |