Archivio Istituzionale della RicercaGIANNINI, VALENTINA
GIANNINI, VALENTINA
015261
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
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study
2022 Defeudis, Arianna; Mazzetti, Simone; Panic, Jovana; Micilotta, Monica; Vassallo, Lorenzo; Giannetto, Giuliana; Gatti, Marco; Faletti, Riccardo; Cirillo, Stefano; Regge, Daniele; 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
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images
2022 Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta
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.
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images
2022 Salvi, Massimo; DE SANTI, Bruno; Pop, Bianca; Bosco, Martino; Giannini, Valentina; Regge, Daniele; Molinari, Filippo; Meiburger, Kristen M.
Diagnostic Accuracy of Single-plane Biparametric and Multiparametric Magnetic Resonance Imaging in Prostate Cancer: A Randomized Noninferiority Trial in Biopsy-naïve Men
2021 Russo, F.; Mazzetti, S.; Regge, D.; Ambrosini, I.; Giannini, V.; Manfredi, M.; De Luca, S.; Bollito, E.; Porpiglia, F.
EditorialReply to Anwar R. Padhani, Ivo G. Schoots, Jelle O. Barentsz. Fast Magnetic Resonance Imaging as a Viable Method for Directing the Prostate Cancer Diagnostic Pathway. Eur Urol Oncol 2021;4:863-5 Fast-MRI Feasibility in Biopsy-naive Patients: Clarifications on the Study Methods and Results
2021 Russo, Filippo; Mazzetti, Simone; Regge, Daniele; Ambrosini, Ilaria; Giannini, Valentina; Manfredi, Matteo; De Luca, Stefano; Bollito, Enrico; Porpiglia, Francesco
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
Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice
2021 Coppola, Francesca; Giannini, Valentina; Gabelloni, Michela; Panic, Jovana; Defeudis, Arianna; Lo Monaco, Silvia; Cattabriga, Arrigo; Adriana Cocozza, Maria; Vincenzo Pastore, Luigi; Polici, Michela; Caruso, Damiano; Laghi, Andrea; Regge, Daniele; Neri, Emanuele; Golfieri, Rita; Faggioni, Lorenzo
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
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
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
Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy
2020 Giannini, V.; Rosati, S.; Defeudis, A.; Balestra, G.; Vassallo, L.; Cappello, G.; Mazzetti, S.; De Mattia, C.; Rizzetto, F.; Torresin, A.; Sartore-Bianchi, A.; Siena, S.; Vanzulli, A.; Leone, F.; Zagonel, V.; Marsoni, S.; Regge, D.
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.
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
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.
Multimodal T2w and DWI Prostate Gland Automated Registration
2019 De Santi, B.; Salvi, M.; Giannini, V.; Meiburger, K. M.; Michielli, N.; Seoni, S.; Regge, D.; Molinari, F.
Radiomics to predict response to neoadjuvant chemotherapy in rectal cancer: influence of simultaneous feature selection and classifier optimization
2018 Rosati, S; Gianfreda, Cm; Balestra, G; Giannini, V; Mazzetti, S; Regge, D
Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection
2018 Giannini, Valentina; Rosati, Samanta; Castagneri, Cristina; Martincich, Laura; Regge, Daniele; Balestra, Gabriella
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| EditorialReply to Anwar R. Padhani, Ivo G. Schoots, Jelle O. Barentsz. Fast Magnetic Resonance Imaging as a Viable Method for Directing the Prostate Cancer Diagnostic Pathway. Eur Urol Oncol 2021;4:863-5 Fast-MRI Feasibility in Biopsy-naive Patients: Clarifications on the Study Methods and Results / Russo, Filippo; Mazzetti, Simone; Regge, Daniele; Ambrosini, Ilaria; Giannini, Valentina; Manfredi, Matteo; De Luca, Stefano; Bollito, Enrico; Porpiglia, Francesco. - In: EUROPEAN UROLOGY ONCOLOGY. - ISSN 2588-9311. - STAMPA. - 4:6(2021), pp. 866-867. [10.1016/J.EUO.2021.06.005] | 1-gen-2021 | Giannini, Valentina + | 1-s2.0-S2588931121001218-main.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 |
| Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice / Coppola, Francesca; Giannini, Valentina; Gabelloni, Michela; Panic, Jovana; Defeudis, Arianna; Lo Monaco, Silvia; Cattabriga, Arrigo; Adriana Cocozza, Maria; Vincenzo Pastore, Luigi; Polici, Michela; Caruso, Damiano; Laghi, Andrea; Regge, Daniele; Neri, Emanuele; Golfieri, Rita; Faggioni, Lorenzo. - In: DIAGNOSTICS. - ISSN 2075-4418. - 11:(2021). [10.3390/diagnostics11050756] | 1-gen-2021 | Valentina GianniniJovana Panic + | Radiomics and Magnetic Resonance Imaging of Rectal Cancer_ From Engineering to Clinical Practice _ Enhanced Reader.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 |
| 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 |
| 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 |
| Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy / Giannini, V.; Rosati, S.; Defeudis, A.; Balestra, G.; Vassallo, L.; Cappello, G.; Mazzetti, S.; De Mattia, C.; Rizzetto, F.; Torresin, A.; Sartore-Bianchi, A.; Siena, S.; Vanzulli, A.; Leone, F.; Zagonel, V.; Marsoni, S.; Regge, D.. - In: INTERNATIONAL JOURNAL OF CANCER. - ISSN 0020-7136. - ELETTRONICO. - 147:11(2020), pp. 3215-3223. [10.1002/ijc.33271] | 1-gen-2020 | Giannini V.Rosati S.Balestra G. + | ijc.33271.pdf; IJC-20-1143.R2_Proof_hi.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 |
| 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 |
| 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 |
| Multimodal T2w and DWI Prostate Gland Automated Registration / De Santi, B.; Salvi, M.; Giannini, V.; Meiburger, K. M.; Michielli, N.; Seoni, S.; Regge, D.; Molinari, F.. - ELETTRONICO. - 2019:(2019), pp. 4427-4430. ((Intervento presentato al convegno 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 tenutosi a deu nel 2019 [10.1109/EMBC.2019.8856467]. | 1-gen-2019 | De Santi B.Salvi M.Giannini V.Meiburger K. M.Michielli N.Seoni S.Molinari F. + | 08856467.pdf; EMBC_reg.pdf |
| Radiomics to predict response to neoadjuvant chemotherapy in rectal cancer: influence of simultaneous feature selection and classifier optimization / Rosati, S; Gianfreda, Cm; Balestra, G; Giannini, V; Mazzetti, S; Regge, D. - ELETTRONICO. - (2018), pp. 65-68. ((Intervento presentato al convegno 2018 IEEE Life Sciences Conference (LSC) tenutosi a Montreal, QC, Canada nel 28-30 Oct. 2018 [10.1109/LSC.2018.8572194]. | 1-gen-2018 | Rosati, SBalestra, GGiannini, V + | Retto_DEF.pdf |
| Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection / Giannini, Valentina; Rosati, Samanta; Castagneri, Cristina; Martincich, Laura; Regge, Daniele; Balestra, Gabriella. - ELETTRONICO. - 2018-April:(2018), pp. 285-288. ((Intervento presentato al convegno 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 tenutosi a Washington (USA) nel 2018 [10.1109/ISBI.2018.8363575]. | 1-gen-2018 | Giannini, ValentinaRosati, SamantaCastagneri, CristinaBalestra, Gabriella + | - |