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GIANNINI, VALENTINA

GIANNINI, VALENTINA  

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Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting / Panic, Jovana; Defeudis, Arianna; Vassallo, Lorenzo; Cirillo, Stefano; Gatti, Marco; Sghedoni, Roberto; Avanzo, Michele; Vanzulli, Angelo; Sorrentino, Luca; Boldrini, Luca; Tran, Huong Elena; Chiloiro, Giuditta; D'Agostino, Giuseppe Roberto; Menghi, Enrico; Fusco, Roberta; Petrillo, Antonella; Granata, Vincenza; Mori, Martina; Fiorino, Claudio; Jereczek‐fossa, Barbara Alicja; Gerardi, Marianna Alessandra; Dell'Aversana, Serena; Esposito, Antonio; Regge, Daniele; Rosati, Samanta; Balestra, Gabriella; Giannini, Valentina. - In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. - ISSN 0899-9457. - ELETTRONICO. - 35:3(2025). [10.1002/ima.70076] 1-gen-2025 Panic, JovanaRosati, SamantaBalestra, GabriellaGiannini, Valentina + Int J Imaging Syst Tech - 2025 - Panic - Rectal Cancer Segmentation A Methodical Approach for Generalizable Deep Learning.pdf
A Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI / 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.. - ELETTRONICO. - (2024). (Intervento presentato al convegno 10th World Congress on New Technologies, NewTech 2024 tenutosi a Barcelona (Spa) nel August 25-27, 2024) [10.11159/icbb24.120]. 1-gen-2024 Panic J.Rosati S.Balestra G.Giannini V. + 2024_World Congress on New Technologies_A Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI.pdf
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 AI-based pathomics biomarker to predict response to first-line treatment in metastatic colorectal cancers / Nicoletti, G.; Cafaro, D.; Giannini, V.; Mauri, G.; Marchio, C.; Lazzari, L.; Sartore-Bianchi, A.; Marmorino, F.; Munoz, M. N.; Gonzalez, N. S.; Puccini, A.; Di Como, M.; Aquilano, M. C.; Bonoldi, E.; Siena, S.; Marsoni, S.; Regge, D.. - (2024). (Intervento presentato al convegno 10th International Conference on Bioengineering and Biotechnology (ICBB 2024) tenutosi a Barcelona (Spain)) [10.11159/icbb24.122]. 1-gen-2024 Nicoletti G.Giannini V. + -
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
MultiTrans: Multi-branch transformer network for medical image segmentation / Zhang, Yanhua; Balestra, Gabriella; Zhang, Ke; Wang, Jingyu; Rosati, Samanta; Giannini, Valentina. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - ELETTRONICO. - 254:(2024). [10.1016/j.cmpb.2024.108280] 1-gen-2024 Yanhua ZhangGabriella BalestraSamanta RosatiValentina Giannini + articolo HUA.pdf; MultiTrans_Extension_Elsevier_V20 versione finale.pdf
Comparison between different approaches for the creation of the training set: how clustering and dimensionality impact the performance of a Deep Learning model / Panic, J.; Defeudis, A.; Regge, D.; Balestra, G.; Rosati, S.; Giannini, V.. - (2023), pp. 393-396. (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/BIBE60311.2023.00070]. 1-gen-2023 Panic J.Balestra G.Rosati S.Giannini V. + 2023_BIBE_Comparison_between_Different_Approaches_for_the_Creation_of_the_Training_Set_How_Clustering_and_Dimensionality_Impact_the_Performance_of_a_Deep_Learnin.pdf
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
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
Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses / Panic, Jovana; Defeudis, Arianna; Balestra, Gabriella; Giannini, Valentina; Rosati, Samanta. - In: IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY. - ISSN 2644-1276. - ELETTRONICO. - 4:(2023), pp. 67-76. [10.1109/OJEMB.2023.3271455] 1-gen-2023 Panic, JovanaBalestra, GabriellaGiannini, ValentinaRosati, Samanta + Normalization_strategies_in_multi-center_radiomics_abdominal_MRI_systematic_review_and_meta-analyses.pdf; Panic-Normalization.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
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 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
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
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images / Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Giardini Naxos - Taormina, Italy nel 22-24 June, 2022) [10.1109/MeMeA54994.2022.9856529]. 1-gen-2022 Jovana PanicValentina GianniniGabriella BalestraSamanta Rosati + FinalManuscript.pdf; Rosati-Impact.pdf
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images / Salvi, Massimo; DE SANTI, Bruno; Pop, Bianca; Bosco, Martino; Giannini, Valentina; Regge, Daniele; Molinari, Filippo; Meiburger, Kristen M.. - In: JOURNAL OF IMAGING. - ISSN 2313-433X. - ELETTRONICO. - 8:5(2022), p. 133. [10.3390/jimaging8050133] 1-gen-2022 Massimo SalviBruno De SantiValentina GianniniFilippo MolinariKristen M. Meiburger + (2022) - paper prostateMRI.pdf
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study / Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; Giannini, Valentina. - In: EUROPEAN RADIOLOGY EXPERIMENTAL. - ISSN 2509-9280. - (2022). [10.1186/s41747-022-00272-2] 1-gen-2022 Mazzetti SimonePanic JovanaGiannini Valentina + MRI-based radiomics to predict response in locally advanced rectal cancer.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
Diagnostic Accuracy of Single-plane Biparametric and Multiparametric Magnetic Resonance Imaging in Prostate Cancer: A Randomized Noninferiority Trial in Biopsy-naïve Men / Russo, F.; Mazzetti, S.; Regge, D.; Ambrosini, I.; Giannini, V.; Manfredi, M.; De Luca, S.; Bollito, E.; Porpiglia, F.. - In: EUROPEAN UROLOGY ONCOLOGY. - ISSN 2588-9311. - STAMPA. - 4:6(2021), pp. 855-862. [10.1016/j.euo.2021.03.007] 1-gen-2021 Giannini V. + Giannini-Diagnostic.pdf