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Piccari, D.
147
results:
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Online (147)
Mediatypes
E-Books (2)
Articles (Online) (75)
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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/..
?
2
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/..
?
3
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/..
?
4
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/..
?
5
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/..
?
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/..
?
8
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/..
?
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/..
?
10
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/..
?
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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12
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/..
?
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/..
?
14
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/..
?
15
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/..
1-15