GIANNINI, VALENTINA

GIANNINI, VALENTINA  

SCIENZE CHIRURGICHE  

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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
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
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
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
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
COMPUTER AIDED DIAGNOSIS FOR PROSTATE CANCER DETECTION IN THE PERIPHERAL ZONE BY MRI 2012 Fiori, C; Mele, Fabrizio; Bertolo, R; Cossu, M; Russo, F; Mazzetti, S; Giannini, V; Regge, Daniele; Porpiglia, Francesco
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
Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features 2012 Agliozzo, S; De Luca, M.; Bracco, C.; Vignati, A.; Giannini, V.; Martincich, L.; Carbonaro, L.A.; Bert, A.; Sardanelli, F.; Regge, D.
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.
Computer-aided diagnosis of prostate cancer using multi-parametric MRI: Comparison between PUN and Tofts models 2018 Mazzetti, S.; Giannini, V.; Russo, F.; Regge, D.
Computer-Aided Diagnosis of Prostate Magnetic Resonance Imaging From Bench to Bedside 2019 Giannini V, Mazzetti S, Russo F, Regge D
Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy 2018 Rosati S.; Gianfreda C.M.; Balestra G.; Martincich L.; Giannini V.; Regge D.
Dataset homogeneity assessment for a prostate cancer CAD system 2016 Rosati, S; Giannini, V; Castagneri, C; Regge, D; Balestra, G
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.
Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp-MRI) using whole-mount histological sections as the reference standard 2016 Russo F; Regge D; Armando E; Giannini V; Vignati A; Mazzetti S; Manfredi M; Bollito E; Correale L; Porpiglia F.
A Fully Automatic Algorithm for Segmentation of the Breasts in DCE-MR Images 2010 Giannini V; Vignati A; Morra L; Persano D; Brizzi D; Carbonaro L; Bert A; Sardanelli F; Regge D
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