GIANNINI, VALENTINA

GIANNINI, VALENTINA  

NEUROSCIENZE "RITA LEVI MONTALCINI"  

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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
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 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 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 lesion detection method for DCE-MRI fat-suppressed breast images 2009 Vignati A.; Giannini V.; Bert A.; Deluca M.; Morra L.; Persano D.; Martincich L.; 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.
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.
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
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
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images 2020 De Santi B.; Salvi M.; Giannini V.; Meiburger K.M.; Marzola F.; Russo F.; Bosco M.; Molinari F.
Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI 2022 Maimone, G; Nicoletti, G; Mazzetti, S; Regge, D; Giannini, V
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
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.
MR-T2-weighted signal intensity: A new imaging marker of prostate cancer aggressiveness 2014 Giannini V.; Vignati A.; Mirasole S.; Russo F.; Regge D.; Mazzetti S.; Bracco C.; Stasi M.
Multiparametric CAD system for MR prostate cancer detection 2013 Giannini V, Mazzetti S, Vignati A, Bracco C, Stasi M, Russo F, Bollito E, Regge D
Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection 2018 Giannini V.; Rosati S.; Castagneri C.; Martincich L.; Regge D.; Balestra G.
Radiomics to predict response to neoadjuvant chemotherapy in rectal cancer: Influence of simultaneous feature selection and classifier optimization 2018 Rosati, S.; Gianfreda, C.M.; Balestra, G.; Giannini, V.; Mazzetti, S.; Regge, D.