155 related articles for article (PubMed ID: 33544390)
1. Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning.
Liang X; Bibault JE; Leroy T; Escande A; Zhao W; Chen Y; Buyyounouski MK; Hancock SL; Bagshaw H; Xing L
Med Phys; 2021 Apr; 48(4):1764-1770. PubMed ID: 33544390
[TBL] [Abstract][Full Text] [Related]
2. An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation.
Liang X; Dai J; Zhou X; Liu L; Zhang C; Jiang Y; Li N; Niu T; Xie Y; Dai Z; Wang X
J Digit Imaging; 2023 Jun; 36(3):923-931. PubMed ID: 36717520
[TBL] [Abstract][Full Text] [Related]
3. Contouring variability of human- and deformable-generated contours in radiotherapy for prostate cancer.
Gardner SJ; Wen N; Kim J; Liu C; Pradhan D; Aref I; Cattaneo R; Vance S; Movsas B; Chetty IJ; Elshaikh MA
Phys Med Biol; 2015 Jun; 60(11):4429-47. PubMed ID: 25988718
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT.
Hammers JE; Pirozzi S; Lindsay D; Kaidar-Person O; Tan X; Chen RC; Das SK; Mavroidis P
J Appl Clin Med Phys; 2020 Feb; 21(2):14-25. PubMed ID: 32058663
[TBL] [Abstract][Full Text] [Related]
5. Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN).
Liu C; Gardner SJ; Wen N; Elshaikh MA; Siddiqui F; Movsas B; Chetty IJ
Int J Radiat Oncol Biol Phys; 2019 Jul; 104(4):924-932. PubMed ID: 30890447
[TBL] [Abstract][Full Text] [Related]
6. Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer.
Thor M; Petersen JB; Bentzen L; Høyer M; Muren LP
Acta Oncol; 2011 Aug; 50(6):918-25. PubMed ID: 21767192
[TBL] [Abstract][Full Text] [Related]
7. Combining prior day contours to improve automated prostate segmentation.
Godley A; Sheplan Olsen LJ; Stephans K; Zhao A
Med Phys; 2013 Feb; 40(2):021722. PubMed ID: 23387745
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A novel approach for establishing benchmark CBCT/CT deformable image registrations in prostate cancer radiotherapy.
Kim J; Kumar S; Liu C; Zhong H; Pradhan D; Shah M; Cattaneo R; Yechieli R; Robbins JR; Elshaikh MA; Chetty IJ
Phys Med Biol; 2013 Nov; 58(22):8077-97. PubMed ID: 24171908
[TBL] [Abstract][Full Text] [Related]
10. Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT.
Kurz C; Kamp F; Park YK; Zöllner C; Rit S; Hansen D; Podesta M; Sharp GC; Li M; Reiner M; Hofmaier J; Neppl S; Thieke C; Nijhuis R; Ganswindt U; Belka C; Winey BA; Parodi K; Landry G
Med Phys; 2016 Oct; 43(10):5635. PubMed ID: 27782706
[TBL] [Abstract][Full Text] [Related]
11. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.
Zhou J; Kim S; Jabbour S; Goyal S; Haffty B; Chen T; Levinson L; Metaxas D; Yue NJ
Med Phys; 2010 Mar; 37(3):1298-308. PubMed ID: 20384267
[TBL] [Abstract][Full Text] [Related]
12. Auto-propagation of contours for adaptive prostate radiation therapy.
Chao M; Xie Y; Xing L
Phys Med Biol; 2008 Sep; 53(17):4533-42. PubMed ID: 18677041
[TBL] [Abstract][Full Text] [Related]
13. Feature-based rectal contour propagation from planning CT to cone beam CT.
Xie Y; Chao M; Lee P; Xing L
Med Phys; 2008 Oct; 35(10):4450-9. PubMed ID: 18975692
[TBL] [Abstract][Full Text] [Related]
14. Unsupervised learning for deformable registration of thoracic CT and cone-beam CT based on multiscale features matching with spatially adaptive weighting.
Duan L; Ni X; Liu Q; Gong L; Yuan G; Li M; Yang X; Fu T; Zheng J
Med Phys; 2020 Nov; 47(11):5632-5647. PubMed ID: 32949051
[TBL] [Abstract][Full Text] [Related]
15. Accuracy of software-assisted contour propagation from planning CT to cone beam CT in head and neck radiotherapy.
Hvid CA; Elstrøm UV; Jensen K; Alber M; Grau C
Acta Oncol; 2016 Nov; 55(11):1324-1330. PubMed ID: 27556786
[TBL] [Abstract][Full Text] [Related]
16. Synthetic CT-aided multiorgan segmentation for CBCT-guided adaptive pancreatic radiotherapy.
Dai X; Lei Y; Wynne J; Janopaul-Naylor J; Wang T; Roper J; Curran WJ; Liu T; Patel P; Yang X
Med Phys; 2021 Nov; 48(11):7063-7073. PubMed ID: 34609745
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of deformable image registration for contour propagation between CT and cone-beam CT images in adaptive head and neck radiotherapy.
Li X; Zhang YY; Shi YH; Zhou LH; Zhen X
Technol Health Care; 2016 Apr; 24 Suppl 2():S747-55. PubMed ID: 27259084
[TBL] [Abstract][Full Text] [Related]
18. Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours.
Li D; Liu L; Chen J; Li H; Yin Y; Ibragimov B; Xing L
Phys Med Biol; 2017 Jan; 62(1):272-288. PubMed ID: 27991439
[TBL] [Abstract][Full Text] [Related]
19. Organ-aware CBCT enhancement via dual path learning for prostate cancer treatment.
Chen X; Pang Y; Ahmad S; Royce T; Wang A; Lian J; Yap PT
Med Phys; 2023 Nov; 50(11):6931-6942. PubMed ID: 37751497
[TBL] [Abstract][Full Text] [Related]
20. Investigating CT to CBCT image registration for head and neck proton therapy as a tool for daily dose recalculation.
Landry G; Nijhuis R; Dedes G; Handrack J; Thieke C; Janssens G; Orban de Xivry J; Reiner M; Kamp F; Wilkens JJ; Paganelli C; Riboldi M; Baroni G; Ganswindt U; Belka C; Parodi K
Med Phys; 2015 Mar; 42(3):1354-66. PubMed ID: 25735290
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]