These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
117 related articles for article (PubMed ID: 32416279)
1. Dose prediction using a deep neural network for accelerated planning of rectal cancer radiotherapy. Song Y; Hu J; Liu Y; Hu H; Huang Y; Bai S; Yi Z Radiother Oncol; 2020 Aug; 149():111-116. PubMed ID: 32416279 [TBL] [Abstract][Full Text] [Related]
2. Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers. Cros S; Bouttier H; Nguyen-Tan PF; Vorontsov E; Kadoury S J Appl Clin Med Phys; 2022 Aug; 23(8):e13655. PubMed ID: 35661390 [TBL] [Abstract][Full Text] [Related]
3. Knowledge-based prediction of three-dimensional dose distributions for external beam radiotherapy. Shiraishi S; Moore KL Med Phys; 2016 Jan; 43(1):378. PubMed ID: 26745931 [TBL] [Abstract][Full Text] [Related]
4. Direct Dose Prediction With Deep Learning for Postoperative Cervical Cancer Underwent Volumetric Modulated Arc Therapy. Yu W; Xiao C; Xu J; Jin J; Jin X; Shen L Technol Cancer Res Treat; 2023; 22():15330338231167039. PubMed ID: 36999201 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Deep learning prediction of proton and photon dose distributions for paediatric abdominal tumours. Guerreiro F; Seravalli E; Janssens GO; Maduro JH; Knopf AC; Langendijk JA; Raaymakers BW; Kontaxis C Radiother Oncol; 2021 Mar; 156():36-42. PubMed ID: 33264639 [TBL] [Abstract][Full Text] [Related]
7. Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique. Fan J; Wang J; Chen Z; Hu C; Zhang Z; Hu W Med Phys; 2019 Jan; 46(1):370-381. PubMed ID: 30383300 [TBL] [Abstract][Full Text] [Related]
8. Dose-volume histogram prediction in volumetric modulated arc therapy for nasopharyngeal carcinomas based on uniform-intensity radiation with equal angle intervals. Zhuang Y; Han J; Chen L; Liu X Phys Med Biol; 2019 Dec; 64(23):23NT03. PubMed ID: 31683261 [TBL] [Abstract][Full Text] [Related]
9. Fully automatic volumetric modulated arc therapy plan generation for rectal cancer. Song Y; Wang Q; Jiang X; Liu S; Zhang Y; Bai S Radiother Oncol; 2016 Jun; 119(3):531-6. PubMed ID: 27131593 [TBL] [Abstract][Full Text] [Related]
10. Compared planning dosimetry of TOMO, VMAT and IMRT in rectal cancer with different simulated positions. Lin JC; Tsai JT; Chen LJ; Li MH; Liu WH Oncotarget; 2017 Jun; 8(26):42020-42029. PubMed ID: 28159930 [TBL] [Abstract][Full Text] [Related]
11. A feasibility study on deep learning-based individualized 3D dose distribution prediction. Ma J; Nguyen D; Bai T; Folkerts M; Jia X; Lu W; Zhou L; Jiang S Med Phys; 2021 Aug; 48(8):4438-4447. PubMed ID: 34091925 [TBL] [Abstract][Full Text] [Related]
12. Iterative dataset optimization in automated planning: Implementation for breast and rectal cancer radiotherapy. Fan J; Wang J; Zhang Z; Hu W Med Phys; 2017 Jun; 44(6):2515-2531. PubMed ID: 28339103 [TBL] [Abstract][Full Text] [Related]
13. Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy. Song Y; Hu J; Wu Q; Xu F; Nie S; Zhao Y; Bai S; Yi Z Radiother Oncol; 2020 Apr; 145():186-192. PubMed ID: 32044531 [TBL] [Abstract][Full Text] [Related]
14. Online adaptive radiotherapy compared to plan selection for rectal cancer: quantifying the benefit. de Jong R; Crama KF; Visser J; van Wieringen N; Wiersma J; Geijsen ED; Bel A Radiat Oncol; 2020 Jul; 15(1):162. PubMed ID: 32641080 [TBL] [Abstract][Full Text] [Related]
15. Knowledge-based prediction of plan quality metrics in intracranial stereotactic radiosurgery. Shiraishi S; Tan J; Olsen LA; Moore KL Med Phys; 2015 Feb; 42(2):908. PubMed ID: 25652503 [TBL] [Abstract][Full Text] [Related]
16. Volumetric modulated arc therapy with simultaneous integrated boost for locally advanced rectal cancer. Cilla S; Caravatta L; Picardi V; Sabatino D; Macchia G; Digesù C; Deodato F; Massaccesi M; De Spirito M; Piermattei A; Morganti AG Clin Oncol (R Coll Radiol); 2012 May; 24(4):261-8. PubMed ID: 21820294 [TBL] [Abstract][Full Text] [Related]
17. Dosimetric benefits of automation in the treatment of lower thoracic esophageal cancer: Is manual planning still an alternative option? Li X; Wang L; Wang J; Han X; Xia B; Wu S; Hu W Med Dosim; 2017 Winter; 42(4):289-295. PubMed ID: 28754289 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Dosimetric benefits of intensity-modulated radiotherapy and volumetric-modulated arc therapy in the treatment of postoperative cervical cancer patients. Deng X; Han C; Chen S; Xie C; Yi J; Zhou Y; Zheng X; Deng Z; Jin X J Appl Clin Med Phys; 2017 Jan; 18(1):25-31. PubMed ID: 28291936 [TBL] [Abstract][Full Text] [Related]
20. Convolutional neural network-based dosimetry evaluation of esophageal radiation treatment planning. Jiang D; Yan H; Chang N; Li T; Mao R; Du C; Guo B; Liu J Med Phys; 2020 Oct; 47(10):4735-4742. PubMed ID: 32767840 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]