PAOLANI, GIULIA
PAOLANI, GIULIA
DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE
A novel tool for predicting the dose distribution of non-sealed 188Re (Rhenium) resin in non-melanoma skin cancers (NMSC) patients
2023 Zagni F.; Vichi S.; Paolani G.; Santoro M.; Della Gala G.; Strolin S.; Castellucci P.; Vetrone L.; Fanti S.; Morganti A.G.; Strigari L.
A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study
2023 Coada, Camelia Alexandra; Santoro, Miriam; Zybin, Vladislav; Di Stanislao, Marco; Paolani, Giulia; Modolon, Cecilia; Di Costanzo, Stella; Genovesi, Lucia; Tesei, Marco; De Leo, Antonio; Ravegnini, Gloria; De Biase, Dario; Morganti, Alessio Giuseppe; Lovato, Luigi; De Iaco, Pierandrea; Strigari, Lidia; Perrone, Anna Myriam
How smart is artificial intelligence in organs delineation? Testing a CE and FDA-approved Deep-Learning tool using multiple expert contours delineated on planning CT images
2023 Strolin S.; Santoro M.; Paolani G.; Ammendolia I.; Arcelli A.; Benini A.; Bisello S.; Cardano R.; Cavallini L.; Deraco E.; Donati C.M.; Galietta E.; Galuppi A.; Guido A.; Ferioli M.; Laghi V.; Medici F.; Ntreta M.; Razganiayeva N.; Siepe G.; Tolento G.; Vallerossa D.; Zamagni A.; Morganti A.G.; Strigari L.
Improving total body irradiation with a dedicated couch and 3D-printed patient-specific lung blocks: A feasibility study
2023 Strolin, Silvia; Paolani, Giulia; Santoro, Miriam; Cercenelli, Laura; Bortolani, Barbara; Ammendolia, Ilario; Cammelli, Silvia; Cicoria, Gianfranco; Win, Phyo Wai; Morganti, Alessio G; Marcelli, Emanuela; Strigari, Lidia
A novel tool for motion-related dose inaccuracies reduction in 99mTc-MAA SPECT/CT images for SIRT planning
2022 Santoro, Miriam; Della Gala, Giuseppe; Paolani, Giulia; Zagni, Federico; Strolin, Silvia; Civollani, Simona; Calderoni, Letizia; Cappelli, Alberta; Mosconi, Cristina; Lodi Rizzini, Elisa; Tabacchi, Elena; Morganti, Alessio Giuseppe; Fanti, Stefano; Golfieri, Rita; Strigari, Lidia
Outcome Prediction for SARS-CoV-2 Patients Using Machine Learning Modeling of Clinical, Radiological, and Radiomic Features Derived from Chest CT Images
2022 Lorenzo Spagnoli; Maria Francesca Morrone; Enrico Giampieri; Giulia Paolani; Miriam Santoro; Nico Curti; Francesca Coppola; Federica Ciccarese; Giulio Vara; Nicol?? Brandi; Rita Golfieri; Michele Bartoletti; Pierluigi Viale; Lidia Strigari
PSMA PET for the Evaluation of Liver Metastases in Castration-Resistant Prostate Cancer Patients: A Multicenter Retrospective Study
2022 Mattoni, Susanna; Farolfi, Andrea; Formaggio, Fabio; Bruno, Gabriel; Caroli, Paola; Cerci, Juliano Julio; Eiber, Matthias; Fendler, Wolfgang Peter; Golfieri, Rita; Herrmann, Ken; Matteucci, Federica; Mosconi, Cristina; Paolani, Giulia; Santoro, Miriam; Strigari, Lidia; Nanni, Cristina; Castellucci, Paolo; Fanti, Stefano
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| A novel tool for predicting the dose distribution of non-sealed 188Re (Rhenium) resin in non-melanoma skin cancers (NMSC) patients | Zagni F.; Vichi S.; Paolani G.; Santoro M.; Della Gala G.; Strolin S.; Castellucci P.; Vetrone L....; Fanti S.; Morganti A.G.; Strigari L. | 2023-01-01 | MEDICAL PHYSICS | - | 1.01 Articolo in rivista | Medical Physics - 2023 - Zagni - A novel tool for predicting the dose distribution of non‐sealed 188Re Rhenium resin in.pdf; mp16346-sup-0001-suppmat.docx |
| A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study | Coada, Camelia Alexandra; Santoro, Miriam; Zybin, Vladislav; Di Stanislao, Marco; Paolani, Giulia...; Modolon, Cecilia; Di Costanzo, Stella; Genovesi, Lucia; Tesei, Marco; De Leo, Antonio; Ravegnini, Gloria; De Biase, Dario; Morganti, Alessio Giuseppe; Lovato, Luigi; De Iaco, Pierandrea; Strigari, Lidia; Perrone, Anna Myriam | 2023-01-01 | CANCERS | - | 1.01 Articolo in rivista | cancers-15-04534.pdf; cancers-15-04534-s001.zip |
| How smart is artificial intelligence in organs delineation? Testing a CE and FDA-approved Deep-Learning tool using multiple expert contours delineated on planning CT images | Strolin S.; Santoro M.; Paolani G.; Ammendolia I.; Arcelli A.; Benini A.; Bisello S.; Cardano R.;... Cavallini L.; Deraco E.; Donati C.M.; Galietta E.; Galuppi A.; Guido A.; Ferioli M.; Laghi V.; Medici F.; Ntreta M.; Razganiayeva N.; Siepe G.; Tolento G.; Vallerossa D.; Zamagni A.; Morganti A.G.; Strigari L. | 2023-01-01 | FRONTIERS IN ONCOLOGY | - | 1.01 Articolo in rivista | fonc-13-1089807.pdf |
| Improving total body irradiation with a dedicated couch and 3D-printed patient-specific lung blocks: A feasibility study | Strolin, Silvia; Paolani, Giulia; Santoro, Miriam; Cercenelli, Laura; Bortolani, Barbara; Ammendo...lia, Ilario; Cammelli, Silvia; Cicoria, Gianfranco; Win, Phyo Wai; Morganti, Alessio G; Marcelli, Emanuela; Strigari, Lidia | 2023-01-01 | FRONTIERS IN ONCOLOGY | - | 1.01 Articolo in rivista | Improving total body irradiation_Strolin_2023.pdf; DataSheet_1_Improving total body irradiation with a dedicated couch and 3D-printed patient-specific lung blocks_ A feasibility study.pdf |
| A novel tool for motion-related dose inaccuracies reduction in 99mTc-MAA SPECT/CT images for SIRT planning | Santoro, Miriam; Della Gala, Giuseppe; Paolani, Giulia; Zagni, Federico; Strolin, Silvia; Civolla...ni, Simona; Calderoni, Letizia; Cappelli, Alberta; Mosconi, Cristina; Lodi Rizzini, Elisa; Tabacchi, Elena; Morganti, Alessio Giuseppe; Fanti, Stefano; Golfieri, Rita; Strigari, Lidia | 2022-01-01 | PHYSICA MEDICA | - | 1.01 Articolo in rivista | - |
| Outcome Prediction for SARS-CoV-2 Patients Using Machine Learning Modeling of Clinical, Radiological, and Radiomic Features Derived from Chest CT Images | Lorenzo Spagnoli; Maria Francesca Morrone; Enrico Giampieri; Giulia Paolani; Miriam Santoro; Nico... Curti; Francesca Coppola; Federica Ciccarese; Giulio Vara; Nicol?? Brandi; Rita Golfieri; Michele Bartoletti; Pierluigi Viale; Lidia Strigari | 2022-01-01 | APPLIED SCIENCES | - | 1.01 Articolo in rivista | applsci-12-04493-v2.pdf |
| PSMA PET for the Evaluation of Liver Metastases in Castration-Resistant Prostate Cancer Patients: A Multicenter Retrospective Study | Mattoni, Susanna; Farolfi, Andrea; Formaggio, Fabio; Bruno, Gabriel; Caroli, Paola; Cerci, Julian...o Julio; Eiber, Matthias; Fendler, Wolfgang Peter; Golfieri, Rita; Herrmann, Ken; Matteucci, Federica; Mosconi, Cristina; Paolani, Giulia; Santoro, Miriam; Strigari, Lidia; Nanni, Cristina; Castellucci, Paolo; Fanti, Stefano | 2022-01-01 | CANCERS | - | 1.01 Articolo in rivista | cancers-14-05680-v2.pdf; cancers-14-05680-s001.zip |