262 related articles for article (PubMed ID: 31745995)
21. Automated delineation of head and neck organs at risk using synthetic MRI-aided mask scoring regional convolutional neural network.
Dai X; Lei Y; Wang T; Zhou J; Roper J; McDonald M; Beitler JJ; Curran WJ; Liu T; Yang X
Med Phys; 2021 Oct; 48(10):5862-5873. PubMed ID: 34342878
[TBL] [Abstract][Full Text] [Related]
22. Cross-modality deep learning: Contouring of MRI data from annotated CT data only.
Kieselmann JP; Fuller CD; Gurney-Champion OJ; Oelfke U
Med Phys; 2021 Apr; 48(4):1673-1684. PubMed ID: 33251619
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.
Duan J; Bernard M; Downes L; Willows B; Feng X; Mourad WF; St Clair W; Chen Q
Med Phys; 2022 Apr; 49(4):2570-2581. PubMed ID: 35147216
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Male pelvic multi-organ segmentation using token-based transformer Vnet.
Pan S; Lei Y; Wang T; Wynne J; Chang CW; Roper J; Jani AB; Patel P; Bradley JD; Liu T; Yang X
Phys Med Biol; 2022 Oct; 67(20):. PubMed ID: 36170872
[No Abstract] [Full Text] [Related]
27. An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
Li X; Bagher-Ebadian H; Gardner S; Kim J; Elshaikh M; Movsas B; Zhu D; Chetty IJ
Med Phys; 2023 Jan; 50(1):311-322. PubMed ID: 36112996
[TBL] [Abstract][Full Text] [Related]
28. Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
Savenije MHF; Maspero M; Sikkes GG; van der Voort van Zyp JRN; T J Kotte AN; Bol GH; T van den Berg CA
Radiat Oncol; 2020 May; 15(1):104. PubMed ID: 32393280
[TBL] [Abstract][Full Text] [Related]
29. Head and neck multi-organ auto-segmentation on CT images aided by synthetic MRI.
Liu Y; Lei Y; Fu Y; Wang T; Zhou J; Jiang X; McDonald M; Beitler JJ; Curran WJ; Liu T; Yang X
Med Phys; 2020 Sep; 47(9):4294-4302. PubMed ID: 32648602
[TBL] [Abstract][Full Text] [Related]
30. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
Zhao Y; Wang H; Yu C; Court LE; Wang X; Wang Q; Pan T; Ding Y; Phan J; Yang J
Med Phys; 2023 Jul; 50(7):4399-4414. PubMed ID: 36698291
[TBL] [Abstract][Full Text] [Related]
31. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region.
Arabi H; Dowling JA; Burgos N; Han X; Greer PB; Koutsouvelis N; Zaidi H
Med Phys; 2018 Nov; 45(11):5218-5233. PubMed ID: 30216462
[TBL] [Abstract][Full Text] [Related]
32. A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Balagopal A; Nguyen D; Morgan H; Weng Y; Dohopolski M; Lin MH; Barkousaraie AS; Gonzalez Y; Garant A; Desai N; Hannan R; Jiang S
Med Image Anal; 2021 Aug; 72():102101. PubMed ID: 34111573
[TBL] [Abstract][Full Text] [Related]
33. An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.
Yang W; Shi Y; Park SH; Yang M; Gao Y; Shen D
IEEE J Biomed Health Inform; 2020 Aug; 24(8):2278-2291. PubMed ID: 31841426
[TBL] [Abstract][Full Text] [Related]
34. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
[TBL] [Abstract][Full Text] [Related]
35. MRI-only based synthetic CT generation using dense cycle consistent generative adversarial networks.
Lei Y; Harms J; Wang T; Liu Y; Shu HK; Jani AB; Curran WJ; Mao H; Liu T; Yang X
Med Phys; 2019 Aug; 46(8):3565-3581. PubMed ID: 31112304
[TBL] [Abstract][Full Text] [Related]
36. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
[TBL] [Abstract][Full Text] [Related]
40. Clinical Target Volume Auto-Segmentation of Esophageal Cancer for Radiotherapy After Radical Surgery Based on Deep Learning.
Cao R; Pei X; Ge N; Zheng C
Technol Cancer Res Treat; 2021; 20():15330338211034284. PubMed ID: 34387104
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]