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 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 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 Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI 2024 Panic J.; Defeudis A.; Vassallo L.; Cirillo S.; Gatti M.; Esposito A.; Dell'aversana S.; Siena S.; Vanzulli A.; Regge D.; Rosati S.; Balestra G.; Giannini V.
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.
Abstract 2848: Radiographic and genomic evolution of individual metastases during HER2 blockade in colorectal cancer 2018 Siravegna, Giulia; Lazzari, Luca; Sartore-Bianchi, Andrea; Crisafulli, Giovanni; Mussolin, Benedetta; Cassingena, Andrea; Martino, Cosimo; Lanman, Richard; Nagy, Rebecca; Corti, Giorgio; Bartolini, Alice; Arcella, Pamela; Montone, Monica; Lodi, Francesca; Vanzati, Alice; Valtorta, Emanuele; Cappello, Giovanni; Bertotti, Andrea; Lonardi, Sara; Zagonel, Vittorina; Leone, Francesco; Russo, Mariangela; Balsamo, Antonella; Truini, Mauro; Nicolantonio, Federica Di; Amatu, Alessio; Bonazzina, Erica; Ghezzi, Silvia; Regge, Daniele; Vanzulli, Angelo; Trusolino, Livio; Siena, Salvatore; Marsoni, Silvia; Bardelli, Alberto
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
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.
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
Bag-of-Words Algorithm to Predict Response to Treatment in Gist Tumors Using CT Scans 2024 Cafaro D.; Cappello G.; Cannella R.; Bartolotta T.V.; Grignani G.; Merlini A.; Regge D.; Giannini V.
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