REGGE, Daniele

REGGE, Daniele  

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223P Artificial intelligence-based pathomics biomarker predict primary resistance to first-line treatment in metastatic colorectal cancers 2023 Mauri, G.; Giannini, V.; Nicoletti, G.; Lazzari, L.; Sartore Bianchi, A.; Marmorino, F.; Randon, G.; Nieva Munoz, M.; Saoudi Gonzalez, N.; Puccini, A.; Berrino, E.; Marchiò, C.; Di Como, M.; Aquilano, M.C.; Arena, S.; Torri, V.; Siena, S.; Bardelli, A.; Regge, D.; Marsoni, S.
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 COMPARISON OF MULTIPARAMETRIC MRI AND PROSTATE BIOPSY IN PATIENTS WITH PROSTATE CANCER WITH PSA < 10 NG/ML AND NEGATIVE DRE UNDERGOING RADICAL PROSTATECTOMY 2013 Porpiglia, F; Fiori, C; Mele, F; Manfredi, M; Cattaneo, G; Serra, N; Ragni, F; Bollito, E; Papotti, M; Russo, F; 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 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.
Active surveillance for prostate cancer: diagnostic accuracy of multiparametric mri in selection of patients 2013 Porpiglia, Francesco; Fiori, C.; Mele, Fabrizio; Manfredi, Matteo; Grande, Susanna; Poggio, M.; Garrou, D.; Bollito, E.; PAPOTTI Mauro Giulio, ; Russo, F.; Regge, Daniele
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
Can prostatic MRI help us to choose focal therapy for prostate cancer? 2012 Fiori, C; Porpiglia, Francesco; Mele, Fabrizio; Manfredi, Matteo; Poggio, M; Russo, F; Armando, E; 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
Comparative performance of random forest and support vector machine classifiers for detection of colorectal lesions in CT colonography 2012 Näppi, Jj; Regge, D; Yoshida, H
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
Confronto quantitativo fra immagini TC ricostruite con filtered back-projection (FBP) e immagini a dose ridotta ricostruite con l’algoritmo di ricostruzione iterativa SAFIRE 2014 Poli M, Mazzetti S, Bracco C, Stasi M, 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.
CT Colonography (CTC) using different theoretical computer-aided detection (CAD) software: influence of false positive (FP) prompt number on experience readers’ performance: preliminary results 2007 Campanella D; Correale L; Cassinis MC; Martina MC; Tartaglia 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.