217 related articles for article (PubMed ID: 37748133)
1. 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]
2. 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]
3. Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.
Jihong C; Penggang B; Xiuchun Z; Kaiqiang C; Wenjuan C; Yitao D; Jiewei Q; Kerun Q; Jing Z; Tianming W
Technol Cancer Res Treat; 2020; 19():1533033820957002. PubMed ID: 33016230
[TBL] [Abstract][Full Text] [Related]
4. Tree-based exploration of the optimization objectives for automatic cervical cancer IMRT treatment planning.
Wang H; Wang R; Liu J; Zhang J; Yao K; Yue H; Zhang Y; You J; Wu H
Br J Radiol; 2021 Jul; 94(1123):20210214. PubMed ID: 34111955
[TBL] [Abstract][Full Text] [Related]
5. Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2022 Jul; 23(7):e13630. PubMed ID: 35533234
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Simultaneous beam geometry and intensity map optimization in intensity-modulated radiation therapy.
Lee EK; Fox T; Crocker I
Int J Radiat Oncol Biol Phys; 2006 Jan; 64(1):301-20. PubMed ID: 16289912
[TBL] [Abstract][Full Text] [Related]
8. PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization.
Liu W; Frank SJ; Li X; Li Y; Zhu RX; Mohan R
Med Phys; 2013 Feb; 40(2):021709. PubMed ID: 23387732
[TBL] [Abstract][Full Text] [Related]
9. A treatment planning study comparing volumetric arc modulation with RapidArc and fixed field IMRT for cervix uteri radiotherapy.
Cozzi L; Dinshaw KA; Shrivastava SK; Mahantshetty U; Engineer R; Deshpande DD; Jamema SV; Vanetti E; Clivio A; Nicolini G; Fogliata A
Radiother Oncol; 2008 Nov; 89(2):180-91. PubMed ID: 18692929
[TBL] [Abstract][Full Text] [Related]
10. Impact of dose calculation accuracy during optimization on lung IMRT plan quality.
Li Y; Rodrigues A; Li T; Yuan L; Yin FF; Wu QJ
J Appl Clin Med Phys; 2015 Jan; 16(1):5137. PubMed ID: 25679172
[TBL] [Abstract][Full Text] [Related]
11. Automatic treatment planning for cervical cancer radiation therapy using direct three-dimensional patient anatomy match.
Zhang D; Yuan Z; Hu P; Yang Y
J Appl Clin Med Phys; 2022 Aug; 23(8):e13649. PubMed ID: 35635799
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. A Comparative Study of Deep Learning Dose Prediction Models for Cervical Cancer Volumetric Modulated Arc Therapy.
Wu Z; Liu M; Pang Y; Deng L; Yang Y; Wu Y
Technol Cancer Res Treat; 2024; 23():15330338241242654. PubMed ID: 38584413
[No Abstract] [Full Text] [Related]
15. 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]
16. Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning.
Li X; Zhang J; Sheng Y; Chang Y; Yin FF; Ge Y; Wu QJ; Wang C
Phys Med Biol; 2020 Sep; 65(17):175014. PubMed ID: 32663813
[TBL] [Abstract][Full Text] [Related]
17. The impact of margin reduction on radiation dose distribution of ultra-hypofractionated prostate radiotherapy utilizing a 1.5-T MR-Linac.
Onal C; Efe E; Bozca R; Yavas C; Yavas G; Arslan G
J Appl Clin Med Phys; 2024 Jan; 25(1):e14179. PubMed ID: 38013636
[TBL] [Abstract][Full Text] [Related]
18. A dosimetric comparison of intensity-modulated radiotherapy versus rapid arc in gynecological malignancies: Dose beyond planning target volume, precisely 5Gy volume.
Sidhu MS; Singh K; Sood S; Aggarwal R
J Cancer Res Ther; 2023; 19(5):1267-1271. PubMed ID: 37787294
[TBL] [Abstract][Full Text] [Related]
19. Target miss using PTV-based IMRT compared to robust optimization via coverage probability concept in prostate cancer.
Outaggarts Z; Wegener D; Berger B; Zips D; Paulsen F; Bleif M; Thorwarth D; Alber M; Dohm O; Müller AC
Acta Oncol; 2020 Aug; 59(8):911-917. PubMed ID: 32436467
[No Abstract] [Full Text] [Related]
20. A dosimetric comparison of the use of equally spaced beam (ESB), beam angle optimization (BAO), and volumetric modulated arc therapy (VMAT) in head and neck cancers treated by intensity modulated radiotherapy.
Leung WS; Wu VWC; Liu CYW; Cheng ACK
J Appl Clin Med Phys; 2019 Nov; 20(11):121-130. PubMed ID: 31593367
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
