Archivio Istituzionale della RicercaNICOLETTI, GIULIA
NICOLETTI, GIULIA
Dipartimento di Elettronica e Telecomunicazioni
056901
Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer
2024 Mazzetti, Simone; Defeudis, Arianna; Nicoletti, Giulia; Chiorino, Giovanna; De Luca, Stefano; Faletti, Riccardo; Gatti, Marco; Gontero, Paolo; Manfredi, Matteo; Mello-Grand, Maurizia; Peraldo-Neia, Caterina; Zitella, Andrea; Porpiglia, Francesco; Regge, Daniele; Giannini, Valentina
Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI
2024 Nicoletti, Giulia; Mazzetti, Simone; Maimone, Giovanni; Cignini, Valentina; Cuocolo, Renato; Faletti, Riccardo; Gatti, Marco; Imbriaco, Massimo; Longo, Nicola; Ponsiglione, Andrea; Russo, Filippo; Serafini, Alessandro; Stanzione, Arnaldo; Regge, Daniele; Giannini, Valentina
How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology
2023 Nicoletti, Giulia; Marchiò, Caterina; Rosati, Samanta; Berrino, Enrico; Aquilano, Maria Costanza; Bonoldi, Emanuela; Balestra, Gabriella; Regge, Daniele; Giannini, Valentina
Virtual biopsy in abdominal pathology: where do we stand?
2023 Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, Valentina; Regge, Daniele
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.
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
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
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?
2021 Nicoletti, Giulia; Barra, Davide; Defeudis, Arianna; Mazzetti, Simone; Gatti, Marco; Faletti, Riccardo; Russo, Filippo; Regge, Daniele; Giannini, Valentina
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer / Mazzetti, Simone; Defeudis, Arianna; Nicoletti, Giulia; Chiorino, Giovanna; De Luca, Stefano; Faletti, Riccardo; Gatti, Marco; Gontero, Paolo; Manfredi, Matteo; Mello-Grand, Maurizia; Peraldo-Neia, Caterina; Zitella, Andrea; Porpiglia, Francesco; Regge, Daniele; Giannini, Valentina. - In: EUROPEAN RADIOLOGY. - ISSN 1432-1084. - ELETTRONICO. - (2024). [10.1007/s00330-023-10542-1] | 1-gen-2024 | Mazzetti, SimoneNicoletti, GiuliaGiannini, Valentina + | s00330-023-10542-1.pdf |
| Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI / Nicoletti, Giulia; Mazzetti, Simone; Maimone, Giovanni; Cignini, Valentina; Cuocolo, Renato; Faletti, Riccardo; Gatti, Marco; Imbriaco, Massimo; Longo, Nicola; Ponsiglione, Andrea; Russo, Filippo; Serafini, Alessandro; Stanzione, Arnaldo; Regge, Daniele; Giannini, Valentina. - In: CANCERS. - ISSN 2072-6694. - ELETTRONICO. - 16:1(2024). [10.3390/cancers16010203] | 1-gen-2024 | Nicoletti, GiuliaMazzetti, SimoneGiannini, Valentina + | cancers-16-00203-v2.pdf |
| How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology / Nicoletti, Giulia; Marchiò, Caterina; Rosati, Samanta; Berrino, Enrico; Aquilano, Maria Costanza; Bonoldi, Emanuela; Balestra, Gabriella; Regge, Daniele; Giannini, Valentina. - (2023), pp. 333-337. (Intervento presentato al convegno 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023 tenutosi a Dayton (USA) nel 04-06 December 2023) [10.1109/bibe60311.2023.00061]. | 1-gen-2023 | Nicoletti, GiuliaRosati, SamantaBalestra, GabriellaGiannini, Valentina + | 2023_BIBE_How_Do_Norms_and_Noise_Impact_Clustering_Results_A_Robustness_Analysis_Applied_to_Digital_Pathology.pdf |
| Virtual biopsy in abdominal pathology: where do we stand? / Defeudis, Arianna; Panic, Jovana; Nicoletti, Giulia; Mazzetti, Simone; Giannini, Valentina; Regge, Daniele. - In: BJR|OPEN. - ISSN 2513-9878. - ELETTRONICO. - 5:1(2023). [10.1259/bjro.20220055] | 1-gen-2023 | Panic, JovanaNicoletti, GiuliaMazzetti, SimoneGiannini, Valentina + | bjro.20220055 (2).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 |
| 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 |
| 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 |
| Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI? / Nicoletti, Giulia; Barra, Davide; Defeudis, Arianna; Mazzetti, Simone; Gatti, Marco; Faletti, Riccardo; Russo, Filippo; Regge, Daniele; Giannini, Valentina. - ELETTRONICO. - 2021:(2021), pp. 3374-3377. (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/EMBC46164.2021.9630988]. | 1-gen-2021 | Nicoletti, GiuliaGiannini, Valentina + | Nicoletti_EMBC2021.pdf; Virtual_biopsy_in_prostate_cancer_can_machine_learning_distinguish_low_and_high_aggressive_tumors_on_MRI.pdf |