Detalhe da pesquisa
1.
The role of a knowledge based dose-volume histogram predictive model in the optimisation of intensity-modulated proton plans for hepatocellular carcinoma patients : Training and validation of a novel commercial system.
Strahlenther Onkol
; 197(4): 332-342, 2021 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-32676685
2.
A benchmarking method to evaluate the accuracy of a commercial proton monte carlo pencil beam scanning treatment planning system.
J Appl Clin Med Phys
; 18(2): 44-49, 2017 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-28300385
3.
Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning.
Cancers (Basel)
; 14(12)2022 Jun 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35740515
4.
Fast, Automated, Knowledge-Based Treatment Planning for Selecting Patients for Proton Therapy Based on Normal Tissue Complication Probabilities.
Adv Radiat Oncol
; 7(4): 100903, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35282398
5.
Using multi-centre data to train and validate a knowledge-based model for planning radiotherapy of the head and neck.
Phys Imaging Radiat Oncol
; 21: 18-23, 2022 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-35391782
6.
Toward automatic beam angle selection for pencil-beam scanning proton liver treatments: A deep learning-based approach.
Med Phys
; 49(7): 4293-4304, 2022 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-35488864
7.
Selective robust optimization: A new intensity-modulated proton therapy optimization strategy.
Med Phys
; 42(8): 4840-7, 2015 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-26233211