144 related articles for article (PubMed ID: 38260236)
21. Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country's experience.
Duprez D; Trauernicht C; Simonds H; Williams O
J Appl Clin Med Phys; 2023 Aug; 24(8):e13988. PubMed ID: 37042449
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow.
Wang J; Chen Y; Tu Y; Xie H; Chen Y; Luo L; Zhou P; Tang Q
Phys Med Biol; 2023 Feb; 68(5):. PubMed ID: 36753762
[No Abstract] [Full Text] [Related]
23. Toward a 3D transrectal ultrasound system for verification of needle placement during high-dose-rate interstitial gynecologic brachytherapy.
Rodgers JR; Surry K; Leung E; D'Souza D; Fenster A
Med Phys; 2017 May; 44(5):1899-1911. PubMed ID: 28295403
[TBL] [Abstract][Full Text] [Related]
24. Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.
Kearney V; Chan JW; Wang T; Perry A; Yom SS; Solberg TD
Phys Med Biol; 2019 Jul; 64(13):135001. PubMed ID: 31181561
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Point A vs. HR-CTV D
Harmon G; Diak A; Shea SM; Yacoub JH; Small W; Harkenrider MM
Brachytherapy; 2016; 15(6):825-831. PubMed ID: 27693173
[TBL] [Abstract][Full Text] [Related]
27. Dosimetric evaluation of the feasibility of utilizing a reduced number of interstitial needles in combined intracavitary and interstitial brachytherapy for cervical cancer.
Jahan D; Ahmad S; Thompson S; Schnell E
J Appl Clin Med Phys; 2023 Feb; 24(2):e13833. PubMed ID: 36355039
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. New inverse planning technology for image-guided cervical cancer brachytherapy: description and evaluation within a clinical frame.
Trnková P; Pötter R; Baltas D; Karabis A; Fidarova E; Dimopoulos J; Georg D; Kirisits C
Radiother Oncol; 2009 Nov; 93(2):331-40. PubMed ID: 19846230
[TBL] [Abstract][Full Text] [Related]
30. RefineNet-based automatic delineation of the clinical target volume and organs at risk for three-dimensional brachytherapy for cervical cancer.
Jiang X; Wang F; Chen Y; Yan S
Ann Transl Med; 2021 Dec; 9(23):1721. PubMed ID: 35071415
[TBL] [Abstract][Full Text] [Related]
31. A power Doppler ultrasound method for improving intraoperative tip localization for visually obstructed needles in interstitial prostate brachytherapy.
Orlando N; Snir J; Barker K; D'Souza D; Velker V; Mendez LC; Fenster A; Hoover DA
Med Phys; 2023 May; 50(5):2649-2661. PubMed ID: 36846880
[TBL] [Abstract][Full Text] [Related]
32. Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.
Wang J; Chen Y; Xie H; Luo L; Tang Q
Sci Rep; 2022 Aug; 12(1):13650. PubMed ID: 35953516
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. SU-E-T-426: Comparison of HDR Brachytherapy for Cervix Cancer Using an Adaptive Simulated Annealing Program and Oncentra- for Simultaneously Integrated Boost.
Yao R; Liao Y; Kiel K; Templeton A; Turian J; Chu J
Med Phys; 2012 Jun; 39(6Part16):3802-3803. PubMed ID: 28517211
[TBL] [Abstract][Full Text] [Related]
35. Analytical HDR prostate brachytherapy planning with automatic catheter and isotope selection.
Frank CH; Ramesh P; Lyu Q; Ruan D; Park SJ; Chang AJ; Venkat PS; Kishan AU; Sheng K
Med Phys; 2023 Oct; 50(10):6525-6534. PubMed ID: 37650773
[TBL] [Abstract][Full Text] [Related]
36. Automatic clinical target volume delineation for cervical cancer in CT images using deep learning.
Shi J; Ding X; Liu X; Li Y; Liang W; Wu J
Med Phys; 2021 Jul; 48(7):3968-3981. PubMed ID: 33905545
[TBL] [Abstract][Full Text] [Related]
37. Clinical use of the Utrecht applicator for combined intracavitary/interstitial brachytherapy treatment in locally advanced cervical cancer.
Nomden CN; de Leeuw AA; Moerland MA; Roesink JM; Tersteeg RJ; Jürgenliemk-Schulz IM
Int J Radiat Oncol Biol Phys; 2012 Mar; 82(4):1424-30. PubMed ID: 21669505
[TBL] [Abstract][Full Text] [Related]
38. Dosimetric considerations when utilizing Venezia, Capri, Rotte double tandem, and tandem and ring with interstitial needles for the treatment of gynecological cancers with high dose rate brachytherapy.
Schnell E; Thompson S; Ahmad S; Herman TS; De La Fuente Herman T
Med Dosim; 2020 Spring; 45(1):21-27. PubMed ID: 31101569
[TBL] [Abstract][Full Text] [Related]
39. Clinical feasibility of interstitial brachytherapy using a "hybrid" applicator combining uterine tandem and interstitial metal needles based on CT for locally advanced cervical cancer.
Liu ZS; Guo J; Lin X; Wang HY; Qiu L; Ren XJ; Li YF; Zhang BY; Wang TJ
Brachytherapy; 2016; 15(5):562-9. PubMed ID: 27474180
[TBL] [Abstract][Full Text] [Related]
40. Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection.
Kesävuori R; Kaseva T; Salli E; Raivio P; Savolainen S; Kangasniemi M
Eur Radiol Exp; 2023 Jun; 7(1):35. PubMed ID: 37380806
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]