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Piccari, D.
147  results:
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1

PO-1865 Benefit of daily online cbct-based adaptive radioth..:

D'Aviero, A. ; Aquilano, M. ; Boschetti, A....
Radiotherapy and Oncology.  182 (2023)  - p. S1607-S1608 , 2023
Link: https://doi.org/10.1016/..
 
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PD-0313 Time analysis of CBCT-guided online adaptive radiot..:

Votta, C. ; Boschetti, A. ; Aquilano, M....
Radiotherapy and Oncology.  182 (2023)  - p. S248-S249 , 2023
Link: https://doi.org/10.1016/..
 
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PO-1679 Deep learning approach to generate synthetic CT fro..:

Vellini, L. ; Menna, S. ; Zucca, S....
Radiotherapy and Oncology.  182 (2023)  - p. S1385-S1387 , 2023
Link: https://doi.org/10.1016/..
 
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PO-2271 A predictive model to determine optimal breath-hold..:

Piro, D. ; Gruosso, F. ; Aquilano, M....
Radiotherapy and Oncology.  182 (2023)  - p. S2042-S2043 , 2023
Link: https://doi.org/10.1016/..
 
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DEEP LEARNING APPROACH TO GENERATE SYNTHETIC CT FROM CBCT I..:

Menna, S. ; Vellini, L. ; Zucca, S....
Physica Medica.  115 (2023)  - p. 102784 , 2023
Link: https://doi.org/10.1016/..
 
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6

Metabolic profile in endothelial cells of chronic thromboem..:

Smolders, V. F. E. D. ; Rodríguez, C. ; Blanco, I....
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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7

PD-0336 Evaluation of a deep-learning segmentation software..:

Boschetti, A. ; Votta, C. ; Re, A....
Radiotherapy and Oncology.  170 (2022)  - p. S229-S230 , 2022
Link: https://doi.org/10.1016/..
 
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PO-1481 Radiological measurements to predict dose variation..:

Catucci, F. ; Cusumano, D. ; Menna, S....
Radiotherapy and Oncology.  170 (2022)  - p. S1256-S1257 , 2022
Link: https://doi.org/10.1016/..
 
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9

PO-1483 A predictive model to quantify the dosimetric impac..:

Iezzi, M. ; Cusumano, D. ; Piccari, D....
Radiotherapy and Oncology.  170 (2022)  - p. S1258-S1259 , 2022
Link: https://doi.org/10.1016/..
 
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PO-1887 Validation of deep learning auto-segmentation in pe..:

Piro, D. ; Marras, M. ; D'Aviero, A....
Radiotherapy and Oncology.  170 (2022)  - p. S1672-S1673 , 2022
Link: https://doi.org/10.1016/..
 
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11

EP-1267: In silico Evaluation of the impact of Magnetic Fie..:

Cusumano, D. ; Boldrini, L. ; Azario, L....
Radiotherapy and Oncology.  123 (2017)  - p. S681-S682 , 2017
Link: https://doi.org/10.1016/..
 
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EP-1266: In silico evaluation of subcutaneous skin dose ass..:

Mattiucci, G.C. ; Boldrini, L. ; Cusumano, D....
Radiotherapy and Oncology.  123 (2017)  - p. S680-S681 , 2017
Link: https://doi.org/10.1016/..
 
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13

In-silico implementation of MRI-60CO based RT: A dosimetric..:

Placidi, E. ; Dinapoli, N. ; Boldrini, L....
Physica Medica.  32 (2016)  - p. 53-54 , 2016
Link: https://doi.org/10.1016/..
 
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OC-0080: In-silico implementation of MRI-60Co based RT: ado..:

Placidi, E. ; Dinapoli, N. ; Boldrini, L....
Radiotherapy and Oncology.  119 (2016)  - p. S37-S38 , 2016
Link: https://doi.org/10.1016/..
 
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PO-1008: In silico implementation of MRI-60Co RT. A dosimet..:

Dinapoli, N. ; Boldrini, L. ; Placidi, E....
Radiotherapy and Oncology.  119 (2016)  - p. S488-S489 , 2016
Link: https://doi.org/10.1016/..
 
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