241 related articles for article (PubMed ID: 31876300)
1. 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]
2. Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.
Elmahdy MS; Jagt T; Zinkstok RT; Qiao Y; Shahzad R; Sokooti H; Yousefi S; Incrocci L; Marijnen CAM; Hoogeman M; Staring M
Med Phys; 2019 Aug; 46(8):3329-3343. PubMed ID: 31111962
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.
Kawula M; Hadi I; Nierer L; Vagni M; Cusumano D; Boldrini L; Placidi L; Corradini S; Belka C; Landry G; Kurz C
Med Phys; 2023 Mar; 50(3):1573-1585. PubMed ID: 36259384
[TBL] [Abstract][Full Text] [Related]
6. Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy.
Zeng Q; Fu Y; Tian Z; Lei Y; Zhang Y; Wang T; Mao H; Liu T; Curran WJ; Jani AB; Patel P; Yang X
Phys Med Biol; 2020 Jun; 65(13):135002. PubMed ID: 32330922
[TBL] [Abstract][Full Text] [Related]
7. Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapy.
Yang B; Liu Y; Zhu J; Lu N; Dai J; Men K
Med Phys; 2024 Feb; 51(2):922-932. PubMed ID: 37449545
[TBL] [Abstract][Full Text] [Related]
8. MR to ultrasound image registration with segmentation-based learning for HDR prostate brachytherapy.
Chen Y; Xing L; Yu L; Liu W; Pooya Fahimian B; Niedermayr T; Bagshaw HP; Buyyounouski M; Han B
Med Phys; 2021 Jun; 48(6):3074-3083. PubMed ID: 33905566
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A Comparative Evaluation of 3 Different Free-Form Deformable Image Registration and Contour Propagation Methods for Head and Neck MRI: The Case of Parotid Changes During Radiotherapy.
Broggi S; Scalco E; Belli ML; Logghe G; Verellen D; Moriconi S; Chiara A; Palmisano A; Mellone R; Fiorino C; Rizzo G
Technol Cancer Res Treat; 2017 Jun; 16(3):373-381. PubMed ID: 28168934
[TBL] [Abstract][Full Text] [Related]
11. Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network.
Zhu N; Najafi M; Han B; Hancock S; Hristov D
Technol Cancer Res Treat; 2019 Jan; 18():1533033818821964. PubMed ID: 30803364
[TBL] [Abstract][Full Text] [Related]
12. Personalized auto-segmentation for magnetic resonance imaging-guided adaptive radiotherapy of prostate cancer.
Chen X; Ma X; Yan X; Luo F; Yang S; Wang Z; Wu R; Wang J; Lu N; Bi N; Yi J; Wang S; Li Y; Dai J; Men K
Med Phys; 2022 Aug; 49(8):4971-4979. PubMed ID: 35670079
[TBL] [Abstract][Full Text] [Related]
13. A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
Fu Y; Mazur TR; Wu X; Liu S; Chang X; Lu Y; Li HH; Kim H; Roach MC; Henke L; Yang D
Med Phys; 2018 Nov; 45(11):5129-5137. PubMed ID: 30269345
[TBL] [Abstract][Full Text] [Related]
14. Quality assurance assessment of intra-acquisition diffusion-weighted and T2-weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy.
Naser MA; Wahid KA; Ahmed S; Salama V; Dede C; Edwards BW; Lin R; McDonald B; Salzillo TC; He R; Ding Y; Abdelaal MA; Thill D; O'Connell N; Willcut V; Christodouleas JP; Lai SY; Fuller CD; Mohamed ASR
Med Phys; 2023 Apr; 50(4):2089-2099. PubMed ID: 36519973
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of the accuracy of deformable image registration on MRI with a physical phantom.
Wu RY; Liu AY; Yang J; Williamson TD; Wisdom PG; Bronk L; Gao S; Grosshan DR; Fuller DC; Gunn GB; Ronald Zhu X; Frank SJ
J Appl Clin Med Phys; 2020 Jan; 21(1):166-173. PubMed ID: 31808307
[TBL] [Abstract][Full Text] [Related]
16. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of automatic deformable structure propagation for high-field MRI guided prostate radiotherapy.
Christiansen RL; Dysager L; Bertelsen AS; Hansen O; Brink C; Bernchou U
Radiat Oncol; 2020 Feb; 15(1):32. PubMed ID: 32033574
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.
Dinkla AM; Florkow MC; Maspero M; Savenije MHF; Zijlstra F; Doornaert PAH; van Stralen M; Philippens MEP; van den Berg CAT; Seevinck PR
Med Phys; 2019 Sep; 46(9):4095-4104. PubMed ID: 31206701
[TBL] [Abstract][Full Text] [Related]
20. Automatic segmentation of high-risk clinical target volume for tandem-and-ovoids brachytherapy patients using an asymmetric dual-path convolutional neural network.
Cao Y; Vassantachart A; Ragab O; Bian S; Mitra P; Xu Z; Gallogly AZ; Cui J; Shen ZL; Balik S; Gribble M; Chang EL; Fan Z; Yang W
Med Phys; 2022 Mar; 49(3):1712-1722. PubMed ID: 35080018
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]