249 related articles for article (PubMed ID: 31345749)
1. Deep-learning-assisted automatic digitization of applicators in 3D CT image-based high-dose-rate brachytherapy of gynecological cancer.
Jung H; Gonzalez Y; Shen C; Klages P; Albuquerque K; Jia X
Brachytherapy; 2019; 18(6):841-851. PubMed ID: 31345749
[TBL] [Abstract][Full Text] [Related]
2. Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer.
Jung H; Shen C; Gonzalez Y; Albuquerque K; Jia X
Phys Med Biol; 2019 Oct; 64(21):215003. PubMed ID: 31470425
[TBL] [Abstract][Full Text] [Related]
3. Automatic segmentation and applicator reconstruction for CT-based brachytherapy of cervical cancer using 3D convolutional neural networks.
Zhang D; Yang Z; Jiang S; Zhou Z; Meng M; Wang W
J Appl Clin Med Phys; 2020 Oct; 21(10):158-169. PubMed ID: 32991783
[TBL] [Abstract][Full Text] [Related]
4. Automated applicator digitization for high-dose-rate cervix brachytherapy using image thresholding and density-based clustering.
Deufel CL; Tian S; Yan BB; Vaishnav BD; Haddock MG; Petersen IA
Brachytherapy; 2020; 19(1):111-118. PubMed ID: 31594729
[TBL] [Abstract][Full Text] [Related]
5. Technical note: cone beam CT imaging for 3D image guided brachytherapy for gynecological HDR brachytherapy.
Reniers B; Verhaegen F
Med Phys; 2011 May; 38(5):2762-7. PubMed ID: 21776813
[TBL] [Abstract][Full Text] [Related]
6. Approaching automated applicator digitization from a new angle: Using sagittal images to improve deep learning accuracy and robustness in high-dose-rate prostate brachytherapy.
Weishaupt LL; Sayed HK; Mao X; Choo R; Stish BJ; Enger SA; Deufel C
Brachytherapy; 2022; 21(4):520-531. PubMed ID: 35422402
[TBL] [Abstract][Full Text] [Related]
7. Feasibility of fusing three-dimensional transabdominal and transrectal ultrasound images for comprehensive intraoperative visualization of gynecologic brachytherapy applicators.
Rodgers JR; Mendez LC; Hoover DA; Bax J; D'Souza D; Fenster A
Med Phys; 2021 Oct; 48(10):5611-5623. PubMed ID: 34415069
[TBL] [Abstract][Full Text] [Related]
8. Deep learning applications in automatic segmentation and reconstruction in CT-based cervix brachytherapy.
Hu H; Yang Q; Li J; Wang P; Tang B; Wang X; Lang J
J Contemp Brachytherapy; 2021 Jun; 13(3):325-330. PubMed ID: 34122573
[TBL] [Abstract][Full Text] [Related]
9. CT and MR image fusion of tandem and ring applicator using rigid registration in intracavitary brachytherapy planning.
Oinam AS; Tomar P; Patel FD; Singh L; Rai B; Bahl A
J Appl Clin Med Phys; 2014 Mar; 15(2):4206. PubMed ID: 24710430
[TBL] [Abstract][Full Text] [Related]
10. Accuracy of an electromagnetic tracking enabled afterloader based on the automated registration with CT phantom images.
Gomez-Sarmiento IN; Tho D; Dürrbeck C; de Jager W; Laurendeau D; Beaulieu L
Med Phys; 2024 Feb; 51(2):799-808. PubMed ID: 38127342
[TBL] [Abstract][Full Text] [Related]
11. Localizing intracavitary brachytherapy applicators from cone-beam CT x-ray projections via a novel iterative forward projection matching algorithm.
Pokhrel D; Murphy MJ; Todor DA; Weiss E; Williamson JF
Med Phys; 2011 Feb; 38(2):1070-80. PubMed ID: 21452744
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of an active magnetic resonance tracking system for interstitial brachytherapy.
Wang W; Viswanathan AN; Damato AL; Chen Y; Tse Z; Pan L; Tokuda J; Seethamraju RT; Dumoulin CL; Schmidt EJ; Cormack RA
Med Phys; 2015 Dec; 42(12):7114-21. PubMed ID: 26632065
[TBL] [Abstract][Full Text] [Related]
13. Application of optical photogrammetry in radiation oncology: HDR surface mold brachytherapy.
Douglass MJJ; Caraça Santos AM
Brachytherapy; 2019; 18(5):689-700. PubMed ID: 31230942
[TBL] [Abstract][Full Text] [Related]
14. Comparison of failure modes and effects analyses and time for brachytherapy ring and tandem applicator digitization between manual and solid applicator source placement methods.
Holtman AL; DiCostanzo DJ; Zimmerman CA; Graeper G; Woollard J; Christ DF; Cetnar AJ
J Appl Clin Med Phys; 2024 May; 25(5):e14336. PubMed ID: 38664983
[TBL] [Abstract][Full Text] [Related]
15. Development and evaluation of an automatic interstitial catheter digitization tool for adaptive high-dose-rate brachytherapy.
Dise J; Liang X; Scheuermann J; Anamalayil S; Mesina C; Lin LL; Teo BK
Brachytherapy; 2015; 14(5):619-25. PubMed ID: 26073225
[TBL] [Abstract][Full Text] [Related]
16. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
17. Commissioning of a 3D image-based treatment planning system for high-dose-rate brachytherapy of cervical cancer.
Kim Y; Modrick JM; Pennington EC; Kim Y
J Appl Clin Med Phys; 2016 Mar; 17(2):405-426. PubMed ID: 27074463
[TBL] [Abstract][Full Text] [Related]
18. Neural network dose prediction for cervical brachytherapy: Overcoming data scarcity for applicator-specific models.
Moore LC; Ahern F; Li L; Kallis K; Kisling K; Cortes KG; Nwachukwu C; Rash D; Yashar CM; Mayadev J; Zou J; Vasconcelos N; Meyers SM
Med Phys; 2024 May; ():. PubMed ID: 38814165
[TBL] [Abstract][Full Text] [Related]
19. A deep learning-based self-adapting ensemble method for segmentation in gynecological brachytherapy.
Li Z; Zhu Q; Zhang L; Yang X; Li Z; Fu J
Radiat Oncol; 2022 Sep; 17(1):152. PubMed ID: 36064571
[TBL] [Abstract][Full Text] [Related]
20. PET-guided three-dimensional treatment planning of intracavitary gynecologic implants.
Mutic S; Grigsby PW; Low DA; Dempsey JF; Harms WB; Laforest R; Bosch WR; Miller TR
Int J Radiat Oncol Biol Phys; 2002 Mar; 52(4):1104-10. PubMed ID: 11958908
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
