3008 related articles for article (PubMed ID: 30929254)
1. A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
Mylonas A; Keall PJ; Booth JT; Shieh CC; Eade T; Poulsen PR; Nguyen DT
Med Phys; 2019 May; 46(5):2286-2297. PubMed ID: 30929254
[TBL] [Abstract][Full Text] [Related]
2. Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients.
Chrystall D; Mylonas A; Hewson E; Martin J; Keall P; Booth J; Nguyen DT
Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 36963116
[No Abstract] [Full Text] [Related]
3. Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.
Ahmed AM; Gargett M; Madden L; Mylonas A; Chrystall D; Brown R; Briggs A; Nguyen T; Keall P; Kneebone A; Hruby G; Booth J
Biomed Phys Eng Express; 2023 Mar; 9(3):. PubMed ID: 36689758
[TBL] [Abstract][Full Text] [Related]
4. Automatic tracking of arbitrarily shaped implanted markers in kilovoltage projection images: a feasibility study.
Regmi R; Lovelock DM; Hunt M; Zhang P; Pham H; Xiong J; Yorke ED; Goodman KA; Rimner A; Mostafavi H; Mageras GS
Med Phys; 2014 Jul; 41(7):071906. PubMed ID: 24989384
[TBL] [Abstract][Full Text] [Related]
5. Real-time automatic fiducial marker tracking in low contrast cine-MV images.
Lin WY; Lin SF; Yang SC; Liou SC; Nath R; Liu W
Med Phys; 2013 Jan; 40(1):011715. PubMed ID: 23298085
[TBL] [Abstract][Full Text] [Related]
6. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
[TBL] [Abstract][Full Text] [Related]
7. Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).
Zhao W; Han B; Yang Y; Buyyounouski M; Hancock SL; Bagshaw H; Xing L
Radiother Oncol; 2019 Nov; 140():167-174. PubMed ID: 31302347
[TBL] [Abstract][Full Text] [Related]
8. Utilizing the TrueBeam Advanced Imaging Package to monitor intrafraction motion with periodic kV imaging and automatic marker detection during VMAT prostate treatments.
Korpics MC; Rokni M; Degnan M; Aydogan B; Liauw SL; Redler G
J Appl Clin Med Phys; 2020 Mar; 21(3):184-191. PubMed ID: 31981305
[TBL] [Abstract][Full Text] [Related]
9. Fully automatic segmentation of arbitrarily shaped fiducial markers in cone-beam CT projections.
Bertholet J; Wan H; Toftegaard J; Schmidt ML; Chotard F; Parikh PJ; Poulsen PR
Phys Med Biol; 2017 Feb; 62(4):1327-1341. PubMed ID: 28114115
[TBL] [Abstract][Full Text] [Related]
10. Current modulated volume-of-interest imaging for kilovoltage intrafaction monitoring of the prostate.
Parsons D; Stevens MT; Robar JL
Med Phys; 2017 Apr; 44(4):1479-1493. PubMed ID: 28133744
[TBL] [Abstract][Full Text] [Related]
11. Characterization of a novel liquid fiducial marker for multimodal image guidance in stereotactic body radiotherapy of prostate cancer.
De Roover R; Crijns W; Poels K; Peeters R; Draulans C; Haustermans K; Depuydt T
Med Phys; 2018 May; 45(5):2205-2217. PubMed ID: 29537613
[TBL] [Abstract][Full Text] [Related]
12. Kilovoltage intrafraction monitoring during normofractionated prostate cancer radiotherapy.
Chasseray M; Dissaux G; Lucia F; Boussion N; Goasduff G; Pradier O; Bourbonne V; Schick U
Cancer Radiother; 2020 Apr; 24(2):99-105. PubMed ID: 32201058
[TBL] [Abstract][Full Text] [Related]
13. Real-time segmentation of multiple implanted cylindrical liver markers in kilovoltage and megavoltage x-ray images.
Fledelius W; Worm E; Høyer M; Grau C; Poulsen PR
Phys Med Biol; 2014 Jun; 59(11):2787-800. PubMed ID: 24801205
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence-based framework in evaluating intrafraction motion for liver cancer robotic stereotactic body radiation therapy with fiducial tracking.
Liang Z; Zhou Q; Yang J; Zhang L; Liu D; Tu B; Zhang S
Med Phys; 2020 Nov; 47(11):5482-5489. PubMed ID: 32996131
[TBL] [Abstract][Full Text] [Related]
15. Robust automatic segmentation of multiple implanted cylindrical gold fiducial markers in cone-beam CT projections.
Fledelius W; Worm E; Elstrøm UV; Petersen JB; Grau C; Høyer M; Poulsen PR
Med Phys; 2011 Dec; 38(12):6351-61. PubMed ID: 22149818
[TBL] [Abstract][Full Text] [Related]
16. A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients
Motley R; Ramachandran P; Fielding A
Biomed Phys Eng Express; 2022 Mar; 8(3):. PubMed ID: 34715689
[No Abstract] [Full Text] [Related]
17. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
[TBL] [Abstract][Full Text] [Related]
18. Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.
Nomura Y; Xu Q; Shirato H; Shimizu S; Xing L
Med Phys; 2019 Jul; 46(7):3142-3155. PubMed ID: 31077390
[TBL] [Abstract][Full Text] [Related]
19. Fast, accurate, and robust automatic marker detection for motion correction based on oblique kV or MV projection image pairs.
Slagmolen P; Hermans J; Maes F; Budiharto T; Haustermans K; van den Heuvel F
Med Phys; 2010 Apr; 37(4):1554-64. PubMed ID: 20443476
[TBL] [Abstract][Full Text] [Related]
20. The first clinical implementation of a real-time six degree of freedom target tracking system during radiation therapy based on Kilovoltage Intrafraction Monitoring (KIM).
Nguyen DT; O'Brien R; Kim JH; Huang CY; Wilton L; Greer P; Legge K; Booth JT; Poulsen PR; Martin J; Keall PJ
Radiother Oncol; 2017 Apr; 123(1):37-42. PubMed ID: 28342648
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
