Archivio Istituzionale della RicercaGIANNINI, VALENTINA
A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection
2015 Rossi, Francesco; Savino, Alessandro; Giannini, V.; Vignati, A.; Mazzetti, S.; Benso, Alfredo; DI CARLO, Stefano; Politano, GIANFRANCO MICHELE MARIA; Regge, D.
A Computer Aided Diagnosis System To Detect Prostate Cancer With Endorectal Multiparametric MRI
2013 Savino, Alessandro; Giannini, V.; Vignati, A.; Mazzetti, S.; Benso, Alfredo; Bracco, C.; DI CARLO, Stefano; Politano, GIANFRANCO MICHELE MARIA; Stasi, M.; Russo, F.; Regge, D.
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images
2020 Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Vassallo, Lorenzo; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina
A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy
2022 Defeudis, Arianna; Panic, Jovana; Guzzinati, Walter; Pusceddu, Laura; Vassallo, Lorenzo; Regge, Daniele; Giannini, Valentina
A fully automatic algorithm for segmentation of the breasts in DCE-MR images
2010 Giannini, Valentina; Vignati, Anna; Morra, Lia; Persano, Diego; Brizzi, Davide; Alessandro Carbonaro, Luca; Bert, Alberto; Sardanelli, Francesco; 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 fully automatic lesion detection method for DCE-MRI fat-suppressed breast images
2009 Anna, Vignati; Giannini, Valentina; Alberto, Bert; Massimo, Deluca; Morra, Lia; Diego, Persano; Laura, Martincich; Daniele, Regge
A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker
2014 Vignati, A.; Giannini, V.; Carbonaro, L. A.; Bertotto, I.; Martincich, L.; Sardanelli, F.; Regge, D.
A Prostate Cancer Computer Aided Diagnosis Software including Malignancy Tumor Probabilistic Classification
2014 Savino, Alessandro; Benso, Alfredo; DI CARLO, Stefano; Giannini, V.; Vignati, A.; Politano, GIANFRANCO MICHELE MARIA; Mazzetti, S.; Regge, D.
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images
2020 Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, Simone; Panic, Jovana; Regge, Daniele; Balestra, Gabriella
ChiMerge Discretization Method: Impact on a Computer Aided Diagnosis System for Prostate Cancer in MRI
2015 Rosati, Samanta; Giannini, Valentina; Mazzetti, S.; Russo, F.; Regge, D.; Balestra, Gabriella
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 radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer
2021 Defeudis, A; Cefaloni, L; Giannetto, G; Cappello, G; Rizzetto, F; Panic, J; Barra, D; Nicoletti, G; Mazzetti, S; Vanzulli, A; Regge, D; Giannini, V
Computer Aided Diagnosis systems for MR cancer detection
2012 Giannini, Valentina
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.
Could normalization improve robustness of abdominal MRI radiomic features?
2023 Giannini, Valentina; Panic, Jovana; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta
Dataset homogeneity assessment for a prostate cancer CAD system
2016 Rosati, Samanta; Giannini, Valentina; Castagneri, Cristina; Regge, D.; Balestra, Gabriella
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil
2021 Barra, D; Nicoletti, G; Defeudis, A; Mazzetti, S; Panic, J; Gatti, M; Faletti, R; Russo, F; Regge, D; Giannini, V
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.
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases
2022 Giannini, V.; Pusceddu, L.; Defeudis, A.; Nicoletti, G.; Cappello, G.; Mazzetti, S.; Sartore-Bianchi, A.; Siena, S.; Vanzulli, A.; Rizzetto, F.; Fenocchio, E.; Lazzari, L.; Bardelli, A.; Marsoni, S.; Regge, D.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection / Rossi, Francesco; Savino, Alessandro; Giannini, V.; Vignati, A.; Mazzetti, S.; Benso, Alfredo; DI CARLO, Stefano; Politano, GIANFRANCO MICHELE MARIA; Regge, D.. - STAMPA. - 9043:(2015), pp. 231-239. (Intervento presentato al convegno Third International Conference on Bioinformatics and Biomedical Engineering (IWBBIO) tenutosi a Granada, ES nel 15-17 Apr. 2015) [10.1007/978-3-319-16483-0_24]. | 1-gen-2015 | ROSSI, FRANCESCOSAVINO, ALESSANDROGiannini, V.BENSO, AlfredoDI CARLO, STEFANOPOLITANO, GIANFRANCO MICHELE MARIA + | 2599159_Accepted_Version.pdf |
| A Computer Aided Diagnosis System To Detect Prostate Cancer With Endorectal Multiparametric MRI / Savino, Alessandro; Giannini, V.; Vignati, A.; Mazzetti, S.; Benso, Alfredo; Bracco, C.; DI CARLO, Stefano; Politano, GIANFRANCO MICHELE MARIA; Stasi, M.; Russo, F.; Regge, D.. - ELETTRONICO. - (2013). (Intervento presentato al convegno 99th Scientific Assembly and Annual Meeting of the Radiological Society of North America tenutosi a Chicago (IL), USA nel 1-6 Dec, 2013). | 1-gen-2013 | SAVINO, ALESSANDROGiannini V.BENSO, AlfredoDI CARLO, STEFANOPOLITANO, GIANFRANCO MICHELE MARIA + | - |
| A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images / Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Vassallo, Lorenzo; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina. - ELETTRONICO. - (2020), pp. 1675-1678. (Intervento presentato al convegno 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9175804]. | 1-gen-2020 | Panic, JovanaRosati, SamantaBalestra, GabriellaGiannini, Valentina + | Panic_EMBC2020.pdf; 09175804.pdf |
| A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy / Defeudis, Arianna; Panic, Jovana; Guzzinati, Walter; Pusceddu, Laura; Vassallo, Lorenzo; Regge, Daniele; Giannini, Valentina. - ELETTRONICO. - (2022), pp. 1-5. (Intervento presentato al convegno 17th IEEE International Symposium on Medical Measurements and Applications (IEEE MeMeA 2022) tenutosi a Giardini Naxos - Taormina, Messina (Italy) nel 22 June - 24 June 2022) [10.1109/MeMeA54994.2022.9856589]. | 1-gen-2022 | Jovana PanicValentina Giannini + | A_Deep_Learning_model_to_segment_liver_metastases_on_CT_images_acquired_at_different_time-points_during_chemotherapy.pdf; ManuscriptFinal.pdf |
| A fully automatic algorithm for segmentation of the breasts in DCE-MR images / Giannini, Valentina; Vignati, Anna; Morra, Lia; Persano, Diego; Brizzi, Davide; Alessandro Carbonaro, Luca; Bert, Alberto; Sardanelli, Francesco; Regge, Daniele. - ELETTRONICO. - 2010:(2010), pp. 3146-3149. (Intervento presentato al convegno 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 tenutosi a Buenos Aires, Argentina nel 31 Aug - 04 Sep 2010) [10.1109/IEMBS.2010.5627191]. | 1-gen-2010 | Valentina GianniniLia Morra + | 2010_EMBC.pdf |
| A fully automatic deep learning algorithm to segment Rectal Cancer on MR images: a multi-center study / Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina. - ELETTRONICO. - (2022), pp. 5066-5069. (Intervento presentato al convegno 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22) tenutosi a Glasgow, United Kingdom nel 11-15 July, 2022) [10.1109/EMBC48229.2022.9871326]. | 1-gen-2022 | Jovana PanicSamanta RosatiGabriella BalestraValentina Giannini + | Manusctipt_DEF_2022_FINAL.pdf; A_fully_automatic_deep_learning_algorithm_to_segment_rectal_Cancer_on_MR_images_a_multi-center_study.pdf |
| A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images / Anna, Vignati; Giannini, Valentina; Alberto, Bert; Massimo, Deluca; Morra, Lia; Diego, Persano; Laura, Martincich; Daniele, Regge. - STAMPA. - 7260:(2009). (Intervento presentato al convegno Spie, Medical Imaging tenutosi a Orlando, FL nel 7-12 February) [10.1117/12.811526]. | 1-gen-2009 | GIANNINI, VALENTINALIA MORRA + | 726026.pdf |
| A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker / Vignati, A.; Giannini, V.; Carbonaro, L. A.; Bertotto, I.; Martincich, L.; Sardanelli, F.; Regge, D.. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - ELETTRONICO. - 117:3(2014), pp. 482-488. [10.1016/j.cmpb.2014.09.003] | 1-gen-2014 | Giannini V. + | Giannini.ANewAlgorithm.pdf |
| A Prostate Cancer Computer Aided Diagnosis Software including Malignancy Tumor Probabilistic Classification / Savino, Alessandro; Benso, Alfredo; DI CARLO, Stefano; Giannini, V.; Vignati, A.; Politano, GIANFRANCO MICHELE MARIA; Mazzetti, S.; Regge, D.. - STAMPA. - (2014), pp. 49-54. (Intervento presentato al convegno International Conference on Bioimaging (BIOIMAGING) tenutosi a Eseo, Angers, FR nel 3-6 March, 2014) [10.5220/0004799100490054]. | 1-gen-2014 | SAVINO, ALESSANDROBENSO, AlfredoDI CARLO, STEFANOGiannini V.POLITANO, GIANFRANCO MICHELE MARIA + | 2014-BIOIMAGING-CADPROSTATE-AuthorVersion.pdf |
| An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images / Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, Simone; Panic, Jovana; Regge, Daniele; Balestra, Gabriella. - ELETTRONICO. - (2020), pp. 1339-1342. (Intervento presentato al convegno 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9176627]. | 1-gen-2020 | Giannini, ValentinaRosati, SamantaPanic, JovanaBalestra, Gabriella + | Giannini_EMBC2020_final.pdf; 09176627.pdf |
| ChiMerge Discretization Method: Impact on a Computer Aided Diagnosis System for Prostate Cancer in MRI / Rosati, Samanta; Giannini, Valentina; Mazzetti, S.; Russo, F.; Regge, D.; Balestra, Gabriella. - ELETTRONICO. - (2015), pp. 297-301. (Intervento presentato al convegno MeMeA 2015 tenutosi a Torino nel may 7-9, 2015). | 1-gen-2015 | ROSATI, SAMANTAGIANNINI, VALENTINABALESTRA, Gabriella + | - |
| Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images / De Santi, B.; Salvi, M.; Giannini, V.; Meiburger, K. M.; Marzola, F.; Russo, F.; Bosco, M.; Molinari, F.. - 2020-:(2020), pp. 1671-1674. (Intervento presentato al convegno 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 tenutosi a can nel 2020) [10.1109/EMBC44109.2020.9176307]. | 1-gen-2020 | De Santi B.Salvi M.Giannini V.Meiburger K. M.Marzola F.Bosco M.Molinari F. + | 2020_EMBC_MRItexture.pdf; MRItexture.pdf |
| Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer / Defeudis, A; Cefaloni, L; Giannetto, G; Cappello, G; Rizzetto, F; Panic, J; Barra, D; Nicoletti, G; Mazzetti, S; Vanzulli, A; Regge, D; Giannini, V. - ELETTRONICO. - 2021:(2021), pp. 3305-3308. (Intervento presentato al convegno 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) tenutosi a Mexico nel 1-5 Nov. 2021) [10.1109/embc46164.2021.9630316]. | 1-gen-2021 | Panic JNicoletti GGiannini V + | Defeudis_EMBC21.pdf; Comparison_of_radiomics_approaches_to_predict_resistance_to_1st_line_chemotherapy_in_liver_metastatic_colorectal_cancer.pdf |
| Computer Aided Diagnosis systems for MR cancer detection / Giannini, Valentina. - (2012). [10.6092/polito/porto/2496445] | 1-gen-2012 | GIANNINI, VALENTINA | Giannini_PhD_thesis.pdf |
| Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy / Rosati, S.; Gianfreda, C. M.; Balestra, G.; Martincich, L.; Giannini, V.; Regge, D.. - ELETTRONICO. - (2018), pp. 1-5. (Intervento presentato al convegno MeMeA 2018 tenutosi a Rome (Italy) nel 11-13 June 2018) [10.1109/MeMeA.2018.8438698]. | 1-gen-2018 | Rosati, S.Balestra, G.Giannini, V. + | - |
| Could normalization improve robustness of abdominal MRI radiomic features? / Giannini, Valentina; Panic, Jovana; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta. - In: BIOMEDICAL PHYSICS & ENGINEERING EXPRESS. - ISSN 2057-1976. - ELETTRONICO. - 9:5(2023). [10.1088/2057-1976/ace4ce] | 1-gen-2023 | Valentina GianniniJovana PanicGabriella BalestraSamanta Rosati + | 2023_Could normalization improve robustness of abdominal MRI radiomic features.pdf |
| Dataset homogeneity assessment for a prostate cancer CAD system / Rosati, Samanta; Giannini, Valentina; Castagneri, Cristina; Regge, D.; Balestra, Gabriella. - ELETTRONICO. - (2016), pp. 1-7. (Intervento presentato al convegno 11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 tenutosi a Benevento (IT) nel 15-18 May 2016) [10.1109/MeMeA.2016.7533734]. | 1-gen-2016 | ROSATI, SAMANTAGIANNINI, VALENTINACASTAGNERI, CRISTINABALESTRA, GABRIELLA + | - |
| Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil / Barra, D; Nicoletti, G; Defeudis, A; Mazzetti, S; Panic, J; Gatti, M; Faletti, R; Russo, F; Regge, D; Giannini, V. - ELETTRONICO. - 2021:(2021), pp. 3370-3373. (Intervento presentato al convegno 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Mexico nel 1-5 Nov. 2021) [10.1109/embc46164.2021.9630792]. | 1-gen-2021 | Nicoletti GPanic JGiannini V + | Deep_learning_model_for_automatic_prostate_segmentation_on_bicentric_T2w_images_with_and_without_endorectal_coil.pdf; Barra_EMBC2021.pdf |
| Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy / Giannini, V.; Defeudis, A.; Rosati, S.; Cappello, G.; Vassallo, L.; Mazzetti, S.; Panic, J.; Regge, D.; Balestra, G.. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a Bari (Italy) nel 1 June-1 July 2020) [10.1109/MeMeA49120.2020.9137150]. | 1-gen-2020 | Giannini V.Rosati S.Panic J.Balestra G. + | Giannini_Memea2020_final.pdf; 09137150.pdf |
| Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases / Giannini, V.; Pusceddu, L.; Defeudis, A.; Nicoletti, G.; Cappello, G.; Mazzetti, S.; Sartore-Bianchi, A.; Siena, S.; Vanzulli, A.; Rizzetto, F.; Fenocchio, E.; Lazzari, L.; Bardelli, A.; Marsoni, S.; Regge, D.. - In: CANCERS. - ISSN 2072-6694. - ELETTRONICO. - 14:1(2022). [10.3390/cancers14010241] | 1-gen-2022 | Giannini V.Nicoletti G. + | cancers-14-00241.pdf |