VASSALLO, Lorenzo
VASSALLO, Lorenzo
SCIENZE CHIRURGICHE
90P: Clinical validation of the M5L lung computer-assisted detection system
2016-01-01 Traverso, A; 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, Lorenzo; Traverso, Alberto; Agnello, Michelangelo; Bracco, Christian; Campanella, Delia; Chiara, Gabriele; Fantacci, Maria Evelina; Lopez Torres, Ernesto; Manca, Antonio; Saletta, Marco; Giannini, Valentina; Mazzetti, Simone; Stasi, Michele; Cerello, Piergiorgio; Regge, Daniele
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images
2020-01-01 Panic J.; Defeudis A.; Mazzetti S.; Rosati S.; Giannetto G.; Vassallo L.; Regge D.; Balestra G.; Giannini V.
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study
2022-01-01 Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina
Computer-aided diagnosis improves the detection of clinically significant prostate cancer on multiparametric-mri: A multi-observer performance study involving inexperienced readers
2021-01-01 Giannini V.; Mazzetti S.; Cappello G.; Doronzio V.M.; Vassallo L.; Russo F.; Giacobbe A.; Muto G.; Regge D.
CT texture analysis to predict response to target therapy of hepatic metastases from colorectal cancer
2019-01-01 Mazzetti, Simone; Giannini, Valentina; Vassallo, Lorenzo; Defeudis, Arianna; Vanzulli, Angelo; Golfieri, Rita; Marsoni, Silvia; Regge, Daniele
Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy
2020-01-01 Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Vassallo L.; Mazzetti S.; Panic J.; Regge D.; Balestra G.
Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
2020-01-01 Rizzetto F.; Calderoni F.; De Mattia C.; Defeudis A.; Giannini V.; Mazzetti S.; Vassallo L.; Ghezzi S.; Sartore-Bianchi A.; Marsoni S.; Siena S.; Regge D.; Torresin A.; Vanzulli A.
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study
2022-01-01 Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; Giannini, Valentina
Multiparametric prostate MRI: Technical conduct, standardized report and clinical use
2018-01-01 Manfredi, Matteo*; Mele, Fabrizio; Garrou, Diletta; Walz, Jochen; Fütterer, Jurgen J.; Russo, Filippo; Vassallo, Lorenzo; Villers, Arnauld; Emberton, Mark; Valerio, Massimo
Radiomics features on CT scans to predict response to HER2-targeted therapy of hepatic metastases from colorectal cancer
2019-01-01 Giannini, Valentina; Mazzetti, Simone; Defeudis, Arianna; Cappello, Giovanni; Vassallo, Lorenzo; Vanzulli, Angelo; De Mattia, Cristina; Torresin, Alberto; Siena, Salvatore; Sartore-Bianchi, Andrea; Leone, Francesco; Martino, Cosimo; Zagonel, Vittorina; Marsoni, Silvia; Regge, Daniele
Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy
2020-01-01 Giannini V.; Rosati S.; Defeudis A.; Balestra G.; Vassallo L.; Cappello G.; Mazzetti S.; De Mattia C.; Rizzetto F.; Torresin A.; Sartore-Bianchi A.; Siena S.; Vanzulli A.; Leone F.; Zagonel V.; Marsoni S.; Regge D.
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting
2025-01-01 Panic, Jovana; Defeudis, Arianna; Vassallo, Lorenzo; Cirillo, Stefano; Gatti, Marco; Sghedoni, Roberto; Avanzo, Michele; Vanzulli, Angelo; Sorrentino, Luca; Boldrini, Luca; Tran, Huong Elena; Chiloiro, Giuditta; D'Agostino, Giuseppe Roberto; Menghi, Enrico; Fusco, Roberta; Petrillo, Antonella; Granata, Vincenza; Mori, Martina; Fiorino, Claudio; Jereczek‐Fossa, Barbara Alicja; Gerardi, Marianna Alessandra; Dell'Aversana, Serena; Esposito, Antonio; Regge, Daniele; Rosati, Samanta; Balestra, Gabriella; Giannini, Valentina
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 90P: Clinical validation of the M5L lung computer-assisted detection system | 2016 | Traverso, A; 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 | Vassallo, Lorenzo; Traverso, Alberto; Agnello, Michelangelo; Bracco, Christian; Campanella, Delia; Chiara, Gabriele; Fantacci, Maria Evelina; Lopez Torres, Ernesto; Manca, Antonio; Saletta, Marco; Giannini, Valentina; Mazzetti, Simone; Stasi, Michele; Cerello, Piergiorgio; Regge, Daniele | |
| A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images | 2020 | Panic J.; Defeudis A.; Mazzetti S.; Rosati S.; Giannetto G.; Vassallo L.; Regge D.; Balestra G.; Giannini V. | |
| A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study | 2022 | Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina | |
| Computer-aided diagnosis improves the detection of clinically significant prostate cancer on multiparametric-mri: A multi-observer performance study involving inexperienced readers | 2021 | Giannini V.; Mazzetti S.; Cappello G.; Doronzio V.M.; Vassallo L.; Russo F.; Giacobbe A.; Muto G.; Regge D. | |
| CT texture analysis to predict response to target therapy of hepatic metastases from colorectal cancer | 2019 | Mazzetti, Simone; Giannini, Valentina; Vassallo, Lorenzo; Defeudis, Arianna; Vanzulli, Angelo; Golfieri, Rita; Marsoni, Silvia; Regge, Daniele | |
| Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy | 2020 | Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Vassallo L.; Mazzetti S.; Panic J.; Regge D.; Balestra G. | |
| Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases | 2020 | Rizzetto F.; Calderoni F.; De Mattia C.; Defeudis A.; Giannini V.; Mazzetti S.; Vassallo L.; Ghezzi S.; Sartore-Bianchi A.; Marsoni S.; Siena S.; Regge D.; Torresin A.; Vanzulli A. | |
| MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study | 2022 | Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; Giannini, Valentina | |
| Multiparametric prostate MRI: Technical conduct, standardized report and clinical use | 2018 | Manfredi, Matteo*; Mele, Fabrizio; Garrou, Diletta; Walz, Jochen; Fütterer, Jurgen J.; Russo, Filippo; Vassallo, Lorenzo; Villers, Arnauld; Emberton, Mark; Valerio, Massimo | |
| Radiomics features on CT scans to predict response to HER2-targeted therapy of hepatic metastases from colorectal cancer | 2019 | Giannini, Valentina; Mazzetti, Simone; Defeudis, Arianna; Cappello, Giovanni; Vassallo, Lorenzo; Vanzulli, Angelo; De Mattia, Cristina; Torresin, Alberto; Siena, Salvatore; Sartore-Bianchi, Andrea; Leone, Francesco; Martino, Cosimo; Zagonel, Vittorina; Marsoni, Silvia; Regge, Daniele | |
| Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy | 2020 | Giannini V.; Rosati S.; Defeudis A.; Balestra G.; Vassallo L.; Cappello G.; Mazzetti S.; De Mattia C.; Rizzetto F.; Torresin A.; Sartore-Bianchi A.; Siena S.; Vanzulli A.; Leone F.; Zagonel V.; Marsoni S.; Regge D. | |
| Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting | 2025 | Panic, Jovana; Defeudis, Arianna; Vassallo, Lorenzo; Cirillo, Stefano; Gatti, Marco; Sghedoni, Roberto; Avanzo, Michele; Vanzulli, Angelo; Sorrentino, Luca; Boldrini, Luca; Tran, Huong Elena; Chiloiro, Giuditta; D'Agostino, Giuseppe Roberto; Menghi, Enrico; Fusco, Roberta; Petrillo, Antonella; Granata, Vincenza; Mori, Martina; Fiorino, Claudio; Jereczek‐Fossa, Barbara Alicja; Gerardi, Marianna Alessandra; Dell'Aversana, Serena; Esposito, Antonio; Regge, Daniele; Rosati, Samanta; Balestra, Gabriella; Giannini, Valentina |