MAZZETTI, SIMONE
MAZZETTI, SIMONE
A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection
2015-01-01 Rossi, F; Savino, A; Giannini, V; Vignati, A; Mazzetti, S; Benso, A; Di Carlo, S; Politano, G; Regge, D
A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI
2011-01-01 Mazzetti S; De Luca M; Bracco C; Vignati A; Giannini V; Stasi M; Russo F; Armando E; Agliozzo S; Regge D
A CAD system for prostate cancer detection on MRI
2012-01-01 Fiori, C; Russo, F; Armando, E; Mazzetti, S; Vignati, A; Giannini, V.; Mele, Fabrizio; De Luca, M; Porpiglia, Francesco; Regge, Daniele
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 computer-aided diagnosis (CAD) scheme for pretreatment prediction of pathological response to neoadjuvant therapy using dynamic contrast-enhanced MRI texture features
2017-01-01 Giannini, Valentina; Mazzetti, Simone; Marmo, Agnese; Montemurro, Filippo; Regge, Daniele; Martincich, Laura
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 Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation
2021-01-01 Giannini V.; Mazzetti S.; Defeudis A.; Stranieri G.; Calandri M.; Bollito E.; Bosco M.; Porpiglia F.; Manfredi M.; De Pascale A.; Veltri A.; Russo F.; Regge D.
A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging
2015-01-01 Giannini, Valentina; Mazzetti, Simone; Vignati, Anna; Russo, Filippo; Bollito, Enrico; Porpiglia, Francesco; Stasi, Michele; Regge, Daniele
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
A novel and fully automated registration method for prostate cancer detection using multiparametric magnetic resonance imaging
2015-01-01 Giannini, Valentina*; Vignati, Anna; De Luca, Massimo; Mazzetti, Simone; Russo, Filippo; Armando, Enrico; Stasi, Michele; Bollito, Enrico; Porpiglia, Francesco; Regge, D.
A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images
2013-01-01 Giannini, V; Vignati, A; Mazzetti, S; De Luca, M; Bracco, C; Stasi, M; Russo, F; Armando, E; Regge, D.
A prostate cancer computer aided diagnosis software including malignancy tumor probabilistic classification
2014-01-01 Savino, A; Benso, A:Di Carlo; Giannini, V; Vignati, A; Mazzetti, S; Politano, G; Regge, D.
AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency
2023-01-01 Colantonio S.; Berti A.; Buongiorno R.; Del Corso G.; Pachetti E.; Pascali M.A.; Kalantzopoulos C.; Kalokyri V.; Kondylakis H.; Tachos N.; Fotiadis D.; Giannini V.; Mazzetti S.; Regge D.; Papanikolaou N.; Marias K.; Tsiknakis M.
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images
2020-01-01 Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Mazzetti S.; Panic J.; Regge D.; Balestra G.
Artificial intelligence in oncologic imaging
2023-01-01 Cappello G.; Defeudis A.; Giannini V.; Mazzetti S.; Regge D.
Automatic detection of prostate cancer by computer-aided multiparametric magnetic resonance imaging
2014-01-01 Mazzetti S, Giannini V, Vignati A, Russo F, Regge D, Stasi M
Big data in oncologic imaging
2016-01-01 Regge, Daniele; Mazzetti, Simone; Giannini, Valentina; Bracco, Christian; Stasi, Michele
ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI
2015-01-01 Rosati, S; Balestra, G; Giannini, V; Mazzetti, S; Russo, F; Regge, D
Choline-containing compounds quantification by 1H NMR spectroscopy using external reference and noise measurements
2013-01-01 Mazzetti, S; Bracco, C.; Regge, D.; Caivano, R.; Russo, F.; Stasi, M.
Comparison between PUN and Tofts models in the quantification of dynamic contrast-enhanced MR imaging
2012-01-01 Mazzetti, S; Gliozzi, A.S.; Bracco, C.; Russo, F.; Regge, D.; Stasi, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection | 2015 | Rossi, F; Savino, A; Giannini, V; Vignati, A; Mazzetti, S; Benso, A; Di Carlo, S; Politano, G; Regge, D | |
| A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI | 2011 | Mazzetti S; De Luca M; Bracco C; Vignati A; Giannini V; Stasi M; Russo F; Armando E; Agliozzo S; Regge D | |
| A CAD system for prostate cancer detection on MRI | 2012 | Fiori, C; Russo, F; Armando, E; Mazzetti, S; Vignati, A; Giannini, V.; Mele, Fabrizio; De Luca, M; Porpiglia, Francesco; Regge, Daniele | |
| 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 computer-aided diagnosis (CAD) scheme for pretreatment prediction of pathological response to neoadjuvant therapy using dynamic contrast-enhanced MRI texture features | 2017 | Giannini, Valentina; Mazzetti, Simone; Marmo, Agnese; Montemurro, Filippo; Regge, Daniele; Martincich, Laura | |
| 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 Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation | 2021 | Giannini V.; Mazzetti S.; Defeudis A.; Stranieri G.; Calandri M.; Bollito E.; Bosco M.; Porpiglia F.; Manfredi M.; De Pascale A.; Veltri A.; Russo F.; Regge D. | |
| A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging | 2015 | Giannini, Valentina; Mazzetti, Simone; Vignati, Anna; Russo, Filippo; Bollito, Enrico; Porpiglia, Francesco; Stasi, Michele; Regge, Daniele | |
| 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 | |
| A novel and fully automated registration method for prostate cancer detection using multiparametric magnetic resonance imaging | 2015 | Giannini, Valentina*; Vignati, Anna; De Luca, Massimo; Mazzetti, Simone; Russo, Filippo; Armando, Enrico; Stasi, Michele; Bollito, Enrico; Porpiglia, Francesco; Regge, D. | |
| A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images | 2013 | Giannini, V; Vignati, A; Mazzetti, S; De Luca, M; Bracco, C; Stasi, M; Russo, F; Armando, E; Regge, D. | |
| A prostate cancer computer aided diagnosis software including malignancy tumor probabilistic classification | 2014 | Savino, A; Benso, A:Di Carlo; Giannini, V; Vignati, A; Mazzetti, S; Politano, G; Regge, D. | |
| AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency | 2023 | Colantonio S.; Berti A.; Buongiorno R.; Del Corso G.; Pachetti E.; Pascali M.A.; Kalantzopoulos C.; Kalokyri V.; Kondylakis H.; Tachos N.; Fotiadis D.; Giannini V.; Mazzetti S.; Regge D.; Papanikolaou N.; Marias K.; Tsiknakis M. | |
| An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images | 2020 | Giannini V.; Defeudis A.; Rosati S.; Cappello G.; Mazzetti S.; Panic J.; Regge D.; Balestra G. | |
| Artificial intelligence in oncologic imaging | 2023 | Cappello G.; Defeudis A.; Giannini V.; Mazzetti S.; Regge D. | |
| Automatic detection of prostate cancer by computer-aided multiparametric magnetic resonance imaging | 2014 | Mazzetti S, Giannini V, Vignati A, Russo F, Regge D, Stasi M | |
| Big data in oncologic imaging | 2016 | Regge, Daniele; Mazzetti, Simone; Giannini, Valentina; Bracco, Christian; Stasi, Michele | |
| ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI | 2015 | Rosati, S; Balestra, G; Giannini, V; Mazzetti, S; Russo, F; Regge, D | |
| Choline-containing compounds quantification by 1H NMR spectroscopy using external reference and noise measurements | 2013 | Mazzetti, S; Bracco, C.; Regge, D.; Caivano, R.; Russo, F.; Stasi, M. | |
| Comparison between PUN and Tofts models in the quantification of dynamic contrast-enhanced MR imaging | 2012 | Mazzetti, S; Gliozzi, A.S.; Bracco, C.; Russo, F.; Regge, D.; Stasi, M. |