Works by Santoro, Miriam

Results: 13

Intra-Arterial Super-Selective Delivery of Yttrium-90 for the Treatment of Recurrent Glioblastoma: In Silico Proof of Concept with Feasibility and Safety Analysis.

Published in:

Pharmaceutics, 2025, v. 17, n. 3, p. 345, doi. 10.3390/pharmaceutics17030345

By:

Paolani, Giulia;
Minosse, Silvia;
Strolin, Silvia;
Santoro, Miriam;
Pucci, Noemi;
Di Giuliano, Francesca;
Garaci, Francesco;
Oddo, Letizia;
Toumia, Yosra;
Guida, Eugenia;
Riccitelli, Francesco;
Perilli, Giulia;
Vitaliti, Alessandra;
Bedini, Angelico;
Dolci, Susanna;
Paradossi, Gaio;
Domenici, Fabio;
Da Ros, Valerio;
Strigari, Lidia

Publication type:

Article

A novel tool for predicting the dose distribution of non‐sealed <sup>188</sup>Re (Rhenium) resin in non‐melanoma skin cancers (NMSC) patients.

Published in:

Medical Physics, 2023, v. 50, n. 7, p. 4600, doi. 10.1002/mp.16346

By:

Zagni, Federico;
Vichi, Sara;
Paolani, Giulia;
Santoro, Miriam;
Della Gala, Giuseppe;
Strolin, Silvia;
Castellucci, Paolo;
Vetrone, Luigia;
Fanti, Stefano;
Morganti, Alessio Giuseppe;
Strigari, Lidia

Publication type:

Article

A Convolutional Neural Network Tool for Early Diagnosis and Precision Surgery in Endometriosis-Associated Ovarian Cancer.

Published in:

Applied Sciences (2076-3417), 2025, v. 15, n. 6, p. 3070, doi. 10.3390/app15063070

By:

Macis, Christian;
Santoro, Miriam;
Zybin, Vladislav;
Di Costanzo, Stella;
Coada, Camelia Alexandra;
Dondi, Giulia;
De Iaco, Pierandrea;
Perrone, Anna Myriam;
Strigari, Lidia

Publication type:

Article

In-Depth Exploration of Advanced Settings in Personalized Automation of Radiotherapy Treatment Planning Using Reference Datasets.

Published in:

Applied Sciences (2076-3417), 2025, v. 15, n. 3, p. 1071, doi. 10.3390/app15031071

By:

Paolani, Giulia;
Santoro, Miriam;
Strolin, Silvia;
Morganti, Alessio Giuseppe;
Strigari, Lidia

Publication type:

Article

How the Rigid and Deformable Image Registration Approaches Affect the Absorbed Dose Estimation Using Images Collected before and after Transarterial Radioembolization with 90 Y Resin Microspheres in a Clinical Setting.

Published in:

Applied Sciences (2076-3417), 2022, v. 12, n. 24, p. 12767, doi. 10.3390/app122412767

By:

Della Gala, Giuseppe;
Santoro, Miriam;
Paolani, Giulia;
Strolin, Silvia;
Cappelli, Alberta;
Mosconi, Cristina;
Lodi Rizzini, Elisa;
Strigari, Lidia

Publication type:

Article

LASSO-Cox Modeling of Survival Using High-Resolution CT-Based Radiomic Features in a Cohort of COVID-19 Patients and Its Generalizability to Standard Image Reconstruction.

Published in:

Applied Sciences (2076-3417), 2022, v. 12, n. 23, p. 12065, doi. 10.3390/app122312065

By:

Paolani, Giulia;
Spagnoli, Lorenzo;
Morrone, Maria Francesca;
Santoro, Miriam;
Coppola, Francesca;
Strolin, Silvia;
Golfieri, Rita;
Strigari, Lidia

Publication type:

Article

Outcome Prediction for SARS-CoV-2 Patients Using Machine Learning Modeling of Clinical, Radiological, and Radiomic Features Derived from Chest CT Images.

Published in:

Applied Sciences (2076-3417), 2022, v. 12, n. 9, p. N.PAG, doi. 10.3390/app12094493

By:

Spagnoli, Lorenzo;
Morrone, Maria Francesca;
Giampieri, Enrico;
Paolani, Giulia;
Santoro, Miriam;
Curti, Nico;
Coppola, Francesca;
Ciccarese, Federica;
Vara, Giulio;
Brandi, Nicolò;
Golfieri, Rita;
Bartoletti, Michele;
Viale, Pierluigi;
Strigari, Lidia

Publication type:

Article

Recent Applications of Artificial Intelligence in Radiotherapy: Where We Are and Beyond.

Published in:

Applied Sciences (2076-3417), 2022, v. 12, n. 7, p. 3223, doi. 10.3390/app12073223

By:

Santoro, Miriam;
Strolin, Silvia;
Paolani, Giulia;
Della Gala, Giuseppe;
Bartoloni, Alessandro;
Giacometti, Cinzia;
Ammendolia, Ilario;
Morganti, Alessio Giuseppe;
Strigari, Lidia

Publication type:

Article

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.

Published in:

Frontiers in Oncology, 2023, v. 13, p. 1, doi. 10.3389/fonc.2023.1089807

By:

Strolin, Silvia;
Santoro, Miriam;
Paolani, Giulia;
Ammendolia, Ilario;
Arcelli, Alessandra;
Benini, Anna;
Bisello, Silvia;
Cardano, Raffaele;
Cavallini, Letizia;
Deraco, Elisa;
Donati, Costanza Maria;
Galietta, Erika;
Galuppi, Andrea;
Guido, Alessandra;
Ferioli, Martina;
Laghi, Viola;
Medici, Federica;
Ntreta, Maria;
Razganiayeva, Natalya;
Siepe, Giambattista

Publication type:

Article

Improving total body irradiation with a dedicated couch and 3D-printed patient-specific lung blocks: A feasibility study.

Published in:

Frontiers in Oncology, 2023, v. 13, p. 1, doi. 10.3389/fonc.2022.1046168

By:

Strolin, Silvia;
Paolani, Giulia;
Santoro, Miriam;
Cercenelli, Laura;
Bortolani, Barbara;
Ammendolia, Ilario;
Cammelli, Silvia;
Cicoria, Gianfranco;
Phyo Wai Win;
Morganti, Alessio G.;
Marcelli, Emanuela;
Strigari, Lidia

Publication type:

Article

Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study.

Published in:

Cancers, 2024, v. 16, n. 8, p. 1570, doi. 10.3390/cancers16081570

By:

Santoro, Miriam;
Zybin, Vladislav;
Coada, Camelia Alexandra;
Mantovani, Giulia;
Paolani, Giulia;
Di Stanislao, Marco;
Modolon, Cecilia;
Di Costanzo, Stella;
Lebovici, Andrei;
Ravegnini, Gloria;
De Leo, Antonio;
Tesei, Marco;
Pasquini, Pietro;
Lovato, Luigi;
Morganti, Alessio Giuseppe;
Pantaleo, Maria Abbondanza;
De Iaco, Pierandrea;
Strigari, Lidia;
Perrone, Anna Myriam

Publication type:

Article

A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study.

Published in:

Cancers, 2023, v. 15, n. 18, p. 4534, doi. 10.3390/cancers15184534

By:

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

Publication type:

Article

PSMA PET for the Evaluation of Liver Metastases in Castration-Resistant Prostate Cancer Patients: A Multicenter Retrospective Study.

Published in:

Cancers, 2022, v. 14, n. 22, p. 5680, doi. 10.3390/cancers14225680

By:

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

Publication type:

Article