302 related articles for article (PubMed ID: 22047362)
1. Learning statistical correlation for fast prostate registration in image-guided radiotherapy.
Shi Y; Liao S; Shen D
Med Phys; 2011 Nov; 38(11):5980-91. PubMed ID: 22047362
[TBL] [Abstract][Full Text] [Related]
2. Learning Statistical Correlation of Prostate Deformations for Fast Registration.
Shi Y; Liao S; Shen D
Mach Learn Med Imaging; 2011; 7009():1-9. PubMed ID: 25279392
[TBL] [Abstract][Full Text] [Related]
3. A Bayesian nonrigid registration method to enhance intraoperative target definition in image-guided prostate procedures through uncertainty characterization.
Pursley J; Risholm P; Fedorov A; Tuncali K; Fennessy FM; Wells WM; Tempany CM; Cormack RA
Med Phys; 2012 Nov; 39(11):6858-67. PubMed ID: 23127078
[TBL] [Abstract][Full Text] [Related]
4. Validation of a deformable image registration technique for cone beam CT-based dose verification.
Moteabbed M; Sharp GC; Wang Y; Trofimov A; Efstathiou JA; Lu HM
Med Phys; 2015 Jan; 42(1):196-205. PubMed ID: 25563260
[TBL] [Abstract][Full Text] [Related]
5. Site-specific deformable imaging registration algorithm selection using patient-based simulated deformations.
Nie K; Chuang C; Kirby N; Braunstein S; Pouliot J
Med Phys; 2013 Apr; 40(4):041911. PubMed ID: 23556905
[TBL] [Abstract][Full Text] [Related]
6. Fully automatic deformable registration of pretreatment MRI/CT for image-guided prostate radiotherapy planning.
Hamdan I; Bert J; Rest CCL; Tasu JP; Boussion N; Valeri A; Dardenne G; Visvikis D
Med Phys; 2017 Dec; 44(12):6447-6455. PubMed ID: 29044630
[TBL] [Abstract][Full Text] [Related]
7. A novel approach for evaluation of prostate deformation and associated dosimetric implications in IGRT of the prostate.
Mayyas E; Kim J; Kumar S; Liu C; Wen N; Movsas B; Elshaikh MA; Chetty IJ
Med Phys; 2014 Sep; 41(9):091709. PubMed ID: 25186384
[TBL] [Abstract][Full Text] [Related]
8. Control over structure-specific flexibility improves anatomical accuracy for point-based deformable registration in bladder cancer radiotherapy.
Wognum S; Bondar L; Zolnay AG; Chai X; Hulshof MC; Hoogeman MS; Bel A
Med Phys; 2013 Feb; 40(2):021702. PubMed ID: 23387725
[TBL] [Abstract][Full Text] [Related]
9. Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks.
Eppenhof KAJ; Maspero M; Savenije MHF; de Boer JCJ; van der Voort van Zyp JRN; Raaymakers BW; Raaijmakers AJE; Veta M; van den Berg CAT; Pluim JPW
Med Phys; 2020 Mar; 47(3):1238-1248. PubMed ID: 31876300
[TBL] [Abstract][Full Text] [Related]
10. Quantitative cone-beam CT imaging in radiation therapy using planning CT as a prior: first patient studies.
Niu T; Al-Basheer A; Zhu L
Med Phys; 2012 Apr; 39(4):1991-2000. PubMed ID: 22482620
[TBL] [Abstract][Full Text] [Related]
11. An adaptive MR-CT registration method for MRI-guided prostate cancer radiotherapy.
Zhong H; Wen N; Gordon JJ; Elshaikh MA; Movsas B; Chetty IJ
Phys Med Biol; 2015 Apr; 60(7):2837-51. PubMed ID: 25775937
[TBL] [Abstract][Full Text] [Related]
12. Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Shao Y; Gao Y; Wang Q; Yang X; Shen D
Med Image Anal; 2015 Dec; 26(1):345-56. PubMed ID: 26439938
[TBL] [Abstract][Full Text] [Related]
13. Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints.
König L; Derksen A; Papenberg N; Haas B
Radiat Oncol; 2016 Sep; 11(1):122. PubMed ID: 27647456
[TBL] [Abstract][Full Text] [Related]
14. Learning image context for segmentation of the prostate in CT-guided radiotherapy.
Li W; Liao S; Feng Q; Chen W; Shen D
Phys Med Biol; 2012 Mar; 57(5):1283-308. PubMed ID: 22343071
[TBL] [Abstract][Full Text] [Related]
15. Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images.
Dai X; Gao Y; Shen D
Med Phys; 2015 May; 42(5):2594-606. PubMed ID: 25979051
[TBL] [Abstract][Full Text] [Related]
16. A GPU based high-resolution multilevel biomechanical head and neck model for validating deformable image registration.
Neylon J; Qi X; Sheng K; Staton R; Pukala J; Manon R; Low DA; Kupelian P; Santhanam A
Med Phys; 2015 Jan; 42(1):232-43. PubMed ID: 25563263
[TBL] [Abstract][Full Text] [Related]
17. Geometric discrepancy of image-guided radiation therapy in patients with prostate cancer without implanted fiducial markers using a commercial pseudo-CT generation method.
Kan H; Eguchi Y; Tsuchiya T; Kondo T; Kitagawa Y; Mekata Y; Fukuma H; Yoshida R; Kasai H; Kunitomo H; Hirose Y; Shibamoto Y
Phys Med Biol; 2019 Mar; 64(6):06NT01. PubMed ID: 30695772
[TBL] [Abstract][Full Text] [Related]
18. Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy.
Kolenbrander ID; Maspero M; Hendriksen AA; Pollitt R; van der Voort van Zyp JRN; van den Berg CAT; Pluim JPW; van Eijnatten MAJM
Med Phys; 2024 Apr; 51(4):2367-2377. PubMed ID: 38408022
[TBL] [Abstract][Full Text] [Related]
19. A feature alignment score for online cone-beam CT-based image-guided radiotherapy for prostate cancer.
Hargrave C; Deegan T; Poulsen M; Bednarz T; Harden F; Mengersen K
Med Phys; 2018 Jul; 45(7):2898-2911. PubMed ID: 29772077
[TBL] [Abstract][Full Text] [Related]
20. Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.
Chowdhury N; Toth R; Chappelow J; Kim S; Motwani S; Punekar S; Lin H; Both S; Vapiwala N; Hahn S; Madabhushi A
Med Phys; 2012 Apr; 39(4):2214-28. PubMed ID: 22482643
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
