179 related articles for article (PubMed ID: 37449545)
1. 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]
2. 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]
3. 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]
4. Efficient segmentation using domain adaptation for MRI-guided and CBCT-guided online adaptive radiotherapy.
Liu Y; Yang B; Chen X; Zhu J; Ji G; Liu Y; Chen B; Lu N; Yi J; Wang S; Li Y; Dai J; Men K
Radiother Oncol; 2023 Nov; 188():109871. PubMed ID: 37634767
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy.
Li Z; Zhang W; Li B; Zhu J; Peng Y; Li C; Zhu J; Zhou Q; Yin Y
Radiother Oncol; 2022 Dec; 177():222-230. PubMed ID: 36375561
[TBL] [Abstract][Full Text] [Related]
7. Registration-guided deep learning image segmentation for cone beam CT-based online adaptive radiotherapy.
Ma L; Chi W; Morgan HE; Lin MH; Chen M; Sher D; Moon D; Vo DT; Avkshtol V; Lu W; Gu X
Med Phys; 2022 Aug; 49(8):5304-5316. PubMed ID: 35460584
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Deformable image registration and interobserver variation in contour propagation for radiation therapy planning.
Riegel AC; Antone JG; Zhang H; Jain P; Raince J; Rea A; Bergamo AM; Kapur A; Potters L
J Appl Clin Med Phys; 2016 May; 17(3):347-357. PubMed ID: 27167289
[TBL] [Abstract][Full Text] [Related]
10. Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy.
Liang X; Morgan H; Bai T; Dohopolski M; Nguyen D; Jiang S
Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36657169
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration.
Thörnqvist S; Petersen JB; Høyer M; Bentzen LN; Muren LP
Acta Oncol; 2010 Oct; 49(7):1023-32. PubMed ID: 20831491
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Multi-atlas-based auto-segmentation for prostatic urethra using novel prediction of deformable image registration accuracy.
Takagi H; Kadoya N; Kajikawa T; Tanaka S; Takayama Y; Chiba T; Ito K; Dobashi S; Takeda K; Jingu K
Med Phys; 2020 Jul; 47(7):3023-3031. PubMed ID: 32201958
[TBL] [Abstract][Full Text] [Related]
16. Segmentation by test-time optimization for CBCT-based adaptive radiation therapy.
Liang X; Chun J; Morgan H; Bai T; Nguyen D; Park J; Jiang S
Med Phys; 2023 Apr; 50(4):1947-1961. PubMed ID: 36310403
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Automatic segmentation of magnetic resonance images for high-dose-rate cervical cancer brachytherapy using deep learning.
Yoganathan SA; Paul SN; Paloor S; Torfeh T; Chandramouli SH; Hammoud R; Al-Hammadi N
Med Phys; 2022 Mar; 49(3):1571-1584. PubMed ID: 35094405
[TBL] [Abstract][Full Text] [Related]
19. Assessment and management of interfractional variations in daily diagnostic-quality-CT guided prostate-bed irradiation after prostatectomy.
Liu F; Ahunbay E; Lawton C; Li XA
Med Phys; 2014 Mar; 41(3):031710. PubMed ID: 24593714
[TBL] [Abstract][Full Text] [Related]
20. A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging-Guided Online Adaptive Radiation Therapy: A Feasibility Study.
Zhang Y; Paulson E; Lim S; Hall WA; Ahunbay E; Mickevicius NJ; Straza MW; Erickson B; Li XA
Adv Radiat Oncol; 2020; 5(6):1350-1358. PubMed ID: 33305098
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
