326 related articles for article (PubMed ID: 34404441)
1. Deep learning method for prediction of patient-specific dose distribution in breast cancer.
Ahn SH; Kim E; Kim C; Cheon W; Kim M; Lee SB; Lim YK; Kim H; Shin D; Kim DY; Jeong JH
Radiat Oncol; 2021 Aug; 16(1):154. PubMed ID: 34404441
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Efficient dose-volume histogram-based pretreatment patient-specific quality assurance methodology with combined deep learning and machine learning models for volumetric modulated arc radiotherapy.
Gong C; Zhu K; Lin C; Han C; Lu Z; Chen Y; Yu C; Hou L; Zhou Y; Yi J; Ai Y; Xiang X; Xie C; Jin X
Med Phys; 2022 Dec; 49(12):7779-7790. PubMed ID: 36190117
[TBL] [Abstract][Full Text] [Related]
5. Site-agnostic 3D dose distribution prediction with deep learning neural networks.
Mashayekhi M; Tapia IR; Balagopal A; Zhong X; Barkousaraie AS; McBeth R; Lin MH; Jiang S; Nguyen D
Med Phys; 2022 Mar; 49(3):1391-1406. PubMed ID: 35037276
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Left breast irradiation with tangential intensity modulated radiotherapy (t-IMRT) versus tangential volumetric modulated arc therapy (t-VMAT): trade-offs between secondary cancer induction risk and optimal target coverage.
Karpf D; Sakka M; Metzger M; Grabenbauer GG
Radiat Oncol; 2019 Sep; 14(1):156. PubMed ID: 31477165
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of optimal treatment planning for radiotherapy of synchronous bilateral breast cancer including regional lymph node irradiation.
Cho Y; Cho YJ; Chang WS; Kim JW; Choi WH; Lee IJ
Radiat Oncol; 2019 Apr; 14(1):56. PubMed ID: 30935400
[TBL] [Abstract][Full Text] [Related]
10. The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer.
Qilin Z; Peng B; Ang Q; Weijuan J; Ping J; Hongqing Z; Bin D; Ruijie Y
J Appl Clin Med Phys; 2022 Jun; 23(6):e13583. PubMed ID: 35262273
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans.
Gronberg MP; Beadle BM; Garden AS; Skinner H; Gay S; Netherton T; Cao W; Cardenas CE; Chung C; Fuentes DT; Fuller CD; Howell RM; Jhingran A; Lim TY; Marquez B; Mumme R; Olanrewaju AM; Peterson CB; Vazquez I; Whitaker TJ; Wooten Z; Yang M; Court LE
Pract Radiat Oncol; 2023; 13(3):e282-e291. PubMed ID: 36697347
[TBL] [Abstract][Full Text] [Related]
12. A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy.
Liu Z; Fan J; Li M; Yan H; Hu Z; Huang P; Tian Y; Miao J; Dai J
Med Phys; 2019 May; 46(5):1972-1983. PubMed ID: 30870586
[TBL] [Abstract][Full Text] [Related]
13. Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation.
Vandewinckele L; Reynders T; Weltens C; Maes F; Crijns W
Phys Med Biol; 2023 Nov; 68(22):. PubMed ID: 37903442
[No Abstract] [Full Text] [Related]
14. A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.
Osman AFI; Tamam NM; Yousif YAM
J Appl Clin Med Phys; 2023 Sep; 24(9):e14015. PubMed ID: 37138549
[TBL] [Abstract][Full Text] [Related]
15. A dosimetric comparison of double-arc volumetric arc therapy, step-shoot intensity modulated radiotherapy and 3D-CRT for left-sided breast cancer radiotherapy after breast-conserving surgery.
Mo JC; Huang J; Gu WD; Gao M; Ning ZH; Mu JM; Li QL; Pei HL
Technol Health Care; 2017 Oct; 25(5):851-858. PubMed ID: 29103057
[TBL] [Abstract][Full Text] [Related]
16. Volumetric-modulated arc therapy for the treatment of a large planning target volume in thoracic esophageal cancer.
Abbas AS; Moseley D; Kassam Z; Kim SM; Cho C
J Appl Clin Med Phys; 2013 May; 14(3):4269. PubMed ID: 23652258
[TBL] [Abstract][Full Text] [Related]
17. Incorporating dosimetric features into the prediction of 3D VMAT dose distributions using deep convolutional neural network.
Ma M; Kovalchuk N; Buyyounouski MK; Xing L; Yang Y
Phys Med Biol; 2019 Jun; 64(12):125017. PubMed ID: 31082805
[TBL] [Abstract][Full Text] [Related]
18. Deep learning architecture with transformer and semantic field alignment for voxel-level dose prediction on brain tumors.
Yang J; Zhao Y; Zhang F; Liao M; Yang X
Med Phys; 2023 Feb; 50(2):1149-1161. PubMed ID: 36434793
[TBL] [Abstract][Full Text] [Related]
19. A comparative dosimetric study of left sided breast cancer after breast-conserving surgery treated with VMAT and IMRT.
Zhao H; He M; Cheng G; Han D; Wu N; Shi D; Zhao Z; Jin J
Radiat Oncol; 2015 Nov; 10():231. PubMed ID: 26577189
[TBL] [Abstract][Full Text] [Related]
20. Is it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?
Wang J; Hu W; Yang Z; Chen X; Wu Z; Yu X; Guo X; Lu S; Li K; Yu G
Radiat Oncol; 2017 May; 12(1):85. PubMed ID: 28532508
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
