305 related articles for article (PubMed ID: 32393280)
1. 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]
2. 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]
3. 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]
4. 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]
5. Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.
Nachbar M; Lo Russo M; Gani C; Boeke S; Wegener D; Paulsen F; Zips D; Roque T; Paragios N; Thorwarth D
Z Med Phys; 2024 May; 34(2):197-207. PubMed ID: 37263911
[TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
Men K; Dai J; Li Y
Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
[TBL] [Abstract][Full Text] [Related]
7. Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region.
Kieselmann JP; Kamerling CP; Burgos N; Menten MJ; Fuller CD; Nill S; Cardoso MJ; Oelfke U
Phys Med Biol; 2018 Jul; 63(14):145007. PubMed ID: 29882749
[TBL] [Abstract][Full Text] [Related]
8. Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.
Qiu W; Zhang W; Ma X; Kong Y; Shi P; Fu M; Wang D; Hu M; Zhou X; Dong Q; Zhou Q; Zhu J
Med Phys; 2023 Jan; 50(1):284-296. PubMed ID: 36047281
[TBL] [Abstract][Full Text] [Related]
9. Clinical evaluation of deep learning and atlas-based auto-segmentation for critical organs at risk in radiation therapy.
Gibbons E; Hoffmann M; Westhuyzen J; Hodgson A; Chick B; Last A
J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):15-25. PubMed ID: 36148621
[TBL] [Abstract][Full Text] [Related]
10. Geometric evaluations of CT and MRI based deep learning segmentation for brain OARs in radiotherapy.
Alzahrani N; Henry A; Clark A; Murray L; Nix M; Al-Qaisieh B
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37579753
[No Abstract] [Full Text] [Related]
11. Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial.
Min H; Dowling J; Jameson MG; Cloak K; Faustino J; Sidhom M; Martin J; Ebert MA; Haworth A; Chlap P; de Leon J; Berry M; Pryor D; Greer P; Vinod SK; Holloway L
Phys Med Biol; 2021 Sep; 66(19):. PubMed ID: 34507305
[TBL] [Abstract][Full Text] [Related]
12. A comparative study of auto-contouring softwares in delineation of organs at risk in lung cancer and rectal cancer.
Chen W; Wang C; Zhan W; Jia Y; Ruan F; Qiu L; Yang S; Li Y
Sci Rep; 2021 Nov; 11(1):23002. PubMed ID: 34836989
[TBL] [Abstract][Full Text] [Related]
13. Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences.
Dowling JA; Sun J; Pichler P; Rivest-Hénault D; Ghose S; Richardson H; Wratten C; Martin J; Arm J; Best L; Chandra SS; Fripp J; Menk FW; Greer PB
Int J Radiat Oncol Biol Phys; 2015 Dec; 93(5):1144-53. PubMed ID: 26581150
[TBL] [Abstract][Full Text] [Related]
14. Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
D'Aviero A; Re A; Catucci F; Piccari D; Votta C; Piro D; Piras A; Di Dio C; Iezzi M; Preziosi F; Menna S; Quaranta F; Boschetti A; Marras M; Miccichè F; Gallus R; Indovina L; Bussu F; Valentini V; Cusumano D; Mattiucci GC
Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897425
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Incremental retraining, clinical implementation, and acceptance rate of deep learning auto-segmentation for male pelvis in a multiuser environment.
Duan J; Vargas CE; Yu NY; Laughlin BS; Toesca DS; Keole S; Rwigema JCM; Wong WW; Schild SE; Feng X; Chen Q; Rong Y
Med Phys; 2023 Jul; 50(7):4079-4091. PubMed ID: 37287322
[TBL] [Abstract][Full Text] [Related]
17. Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.
Ahn SH; Yeo AU; Kim KH; Kim C; Goh Y; Cho S; Lee SB; Lim YK; Kim H; Shin D; Kim T; Kim TH; Youn SH; Oh ES; Jeong JH
Radiat Oncol; 2019 Nov; 14(1):213. PubMed ID: 31775825
[TBL] [Abstract][Full Text] [Related]
18. A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases.
Zhong Y; Yang Y; Fang Y; Wang J; Hu W
Front Oncol; 2021; 11():638197. PubMed ID: 34026615
[TBL] [Abstract][Full Text] [Related]
19. Improved accuracy of auto-segmentation of organs at risk in radiotherapy planning for nasopharyngeal carcinoma based on fully convolutional neural network deep learning.
Peng Y; Liu Y; Shen G; Chen Z; Chen M; Miao J; Zhao C; Deng J; Qi Z; Deng X
Oral Oncol; 2023 Jan; 136():106261. PubMed ID: 36446186
[TBL] [Abstract][Full Text] [Related]
20. Evaluating Automatic Segmentation for Swallowing-Related Organs for Head and Neck Cancer.
Li Y; Rao S; Chen W; Azghadi SF; Nguyen KNB; Moran A; Usera BM; Dyer BA; Shang L; Chen Q; Rong Y
Technol Cancer Res Treat; 2022; 21():15330338221105724. PubMed ID: 35790457
[No Abstract] [Full Text] [Related]
[Next] [New Search]