176 related articles for article (PubMed ID: 36229849)
1. Evaluation of a hybrid automatic planning solution for rectal cancer.
Peng J; Yu L; Xia F; Zhang K; Zhang Z; Wang J; Hu W
Radiat Oncol; 2022 Oct; 17(1):166. PubMed ID: 36229849
[TBL] [Abstract][Full Text] [Related]
2. A dosimetric evaluation of knowledge-based VMAT planning with simultaneous integrated boosting for rectal cancer patients.
Wu H; Jiang F; Yue H; Li S; Zhang Y
J Appl Clin Med Phys; 2016 Nov; 17(6):78-85. PubMed ID: 27929483
[TBL] [Abstract][Full Text] [Related]
3. Study on the transferability of the knowledge-based VMAT model to predict IMRT plans in prostate cancer radiotherapy.
Bi S; Sun X; Sohaimi WFBW; Yusoff ALB
Eur J Med Res; 2023 Aug; 28(1):309. PubMed ID: 37653551
[TBL] [Abstract][Full Text] [Related]
4. Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.
Shen Y; Tang X; Lin S; Jin X; Ding J; Shao M
Med Phys; 2024 Jan; 51(1):545-555. PubMed ID: 37748133
[TBL] [Abstract][Full Text] [Related]
5. First fully automated planning solution for robotic radiosurgery - comparison with automatically planned volumetric arc therapy for prostate cancer.
Rossi L; Sharfo AW; Aluwini S; Dirkx M; Breedveld S; Heijmen B
Acta Oncol; 2018 Nov; 57(11):1490-1498. PubMed ID: 29966472
[TBL] [Abstract][Full Text] [Related]
6. Volumetric-modulated arc stereotactic body radiotherapy for prostate cancer: dosimetric impact of an increased near-maximum target dose and of a rectal spacer.
Ruggieri R; Naccarato S; Stavrev P; Stavreva N; Fersino S; Giaj Levra N; Mazzola R; Mancosu P; Scorsetti M; Alongi F
Br J Radiol; 2015 Oct; 88(1054):20140736. PubMed ID: 26235142
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of dose-volume histogram prediction for organ-at risk and planning target volume based on machine learning.
Jiao SX; Wang ML; Chen LX; Liu XW
Sci Rep; 2021 Feb; 11(1):3117. PubMed ID: 33542427
[TBL] [Abstract][Full Text] [Related]
8. A Script-Based Automatic Intensity Modulated Radiation Therapy Planning Method With Robust Optimization for Craniospinal Irradiation.
Wang X; Li C; Li G; Zhao J; Bai S
Pract Radiat Oncol; 2023; 13(2):e209-e215. PubMed ID: 36108963
[TBL] [Abstract][Full Text] [Related]
9. Retrospective study comparing MR-guided radiation therapy (MRgRT) setup strategies for prostate treatment: repositioning vs. replanning.
Kim JI; Park JM; Choi CH; An HJ; Kim YJ; Kim JH
Radiat Oncol; 2019 Aug; 14(1):139. PubMed ID: 31387593
[TBL] [Abstract][Full Text] [Related]
10. Volumetric-modulated arc therapy vs. c-IMRT in esophageal cancer: a treatment planning comparison.
Yin L; Wu H; Gong J; Geng JH; Jiang F; Shi AH; Yu R; Li YH; Han SK; Xu B; Zhu GY
World J Gastroenterol; 2012 Oct; 18(37):5266-75. PubMed ID: 23066322
[TBL] [Abstract][Full Text] [Related]
11. Using deep learning to predict beam-tunable Pareto optimal dose distribution for intensity-modulated radiation therapy.
Bohara G; Sadeghnejad Barkousaraie A; Jiang S; Nguyen D
Med Phys; 2020 Sep; 47(9):3898-3912. PubMed ID: 32621789
[TBL] [Abstract][Full Text] [Related]
12. Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction.
Yang Y; Li T; Yuan L; Ge Y; Yin FF; Lee WR; Wu QJ
J Appl Clin Med Phys; 2015 Mar; 16(2):5204. PubMed ID: 26103191
[TBL] [Abstract][Full Text] [Related]
13. Dosimetric comparison of two treatment planning systems for spine SBRT.
Lee YK; Munawar I; Mashouf S; Sahgal A; Ruschin M
Med Dosim; 2020 Spring; 45(1):77-84. PubMed ID: 31376988
[TBL] [Abstract][Full Text] [Related]
14. Robust optimization in lung treatment plans accounting for geometric uncertainty.
Zhang X; Rong Y; Morrill S; Fang J; Narayanasamy G; Galhardo E; Maraboyina S; Croft C; Xia F; Penagaricano J
J Appl Clin Med Phys; 2018 May; 19(3):19-26. PubMed ID: 29524301
[TBL] [Abstract][Full Text] [Related]
15. Dose-shaping using targeted sparse optimization.
Sayre GA; Ruan D
Med Phys; 2013 Jul; 40(7):071711. PubMed ID: 23822415
[TBL] [Abstract][Full Text] [Related]
16. Dosimetric comparison of MR-linac-based IMRT and conventional VMAT treatment plans for prostate cancer.
Da Silva Mendes V; Nierer L; Li M; Corradini S; Reiner M; Kamp F; Niyazi M; Kurz C; Landry G; Belka C
Radiat Oncol; 2021 Jul; 16(1):133. PubMed ID: 34289868
[TBL] [Abstract][Full Text] [Related]
17. Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma.
Cai W; Ding S; Li H; Zhou X; Dou W; Zhou L; Song T; Li Y
Radiat Oncol; 2024 Mar; 19(1):39. PubMed ID: 38509540
[TBL] [Abstract][Full Text] [Related]
18. A hybrid optimization strategy for deliverable intensity-modulated radiotherapy plan generation using deep learning-based dose prediction.
Sun Z; Xia X; Fan J; Zhao J; Zhang K; Wang J; Hu W
Med Phys; 2022 Mar; 49(3):1344-1356. PubMed ID: 35043971
[TBL] [Abstract][Full Text] [Related]
19. Potential for reduced radiation-induced toxicity using intensity-modulated arc therapy for whole-brain radiotherapy with hippocampal sparing.
Pokhrel D; Sood S; Lominska C; Kumar P; Badkul R; Jiang H; Wang F
J Appl Clin Med Phys; 2015 Sep; 16(5):131–141. PubMed ID: 26699321
[TBL] [Abstract][Full Text] [Related]
20. Fully automated searching for the optimal VMAT jaw settings based on Eclipse Scripting Application Programming Interface (ESAPI) and RapidPlan knowledge-based planning.
Huang Y; Yue H; Wang M; Li S; Zhang J; Liu Z; Zhang Y
J Appl Clin Med Phys; 2018 May; 19(3):177-182. PubMed ID: 29577614
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
