711 related articles for article (PubMed ID: 35147216)
1. 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]
2. 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]
3. Technology assessment of automated atlas based segmentation in prostate bed contouring.
Hwee J; Louie AV; Gaede S; Bauman G; D'Souza D; Sexton T; Lock M; Ahmad B; Rodrigues G
Radiat Oncol; 2011 Sep; 6():110. PubMed ID: 21906279
[TBL] [Abstract][Full Text] [Related]
4. Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
Chung SY; Chang JS; Choi MS; Chang Y; Choi BS; Chun J; Keum KC; Kim JS; Kim YB
Radiat Oncol; 2021 Feb; 16(1):44. PubMed ID: 33632248
[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. 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]
7. The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.
Guo H; Wang J; Xia X; Zhong Y; Peng J; Zhang Z; Hu W
Radiat Oncol; 2021 Jun; 16(1):113. PubMed ID: 34162410
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning.
Wong J; Fong A; McVicar N; Smith S; Giambattista J; Wells D; Kolbeck C; Giambattista J; Gondara L; Alexander A
Radiother Oncol; 2020 Mar; 144():152-158. PubMed ID: 31812930
[TBL] [Abstract][Full Text] [Related]
11. Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features.
Macomber MW; Phillips M; Tarapov I; Jena R; Nori A; Carter D; Folgoc LL; Criminisi A; Nyflot MJ
Phys Med Biol; 2018 Nov; 63(23):235002. PubMed ID: 30465543
[TBL] [Abstract][Full Text] [Related]
12. Clinical Use of a Commercial Artificial Intelligence-Based Software for Autocontouring in Radiation Therapy: Geometric Performance and Dosimetric Impact.
Hoque SMH; Pirrone G; Matrone F; Donofrio A; Fanetti G; Caroli A; Rista RS; Bortolus R; Avanzo M; Drigo A; Chiovati P
Cancers (Basel); 2023 Dec; 15(24):. PubMed ID: 38136281
[TBL] [Abstract][Full Text] [Related]
13. Automatic end-to-end VMAT treatment planning for rectal cancers.
Huang K; Chung C; Ludmir EB; Zhang L; Owens CA; Vega JG; Duryea J; Zhao Y; Chen X; Fuentes D; Cardenas CE; Briere TM; Beddar S; Court LE; Das P
J Appl Clin Med Phys; 2024 Apr; 25(4):e14259. PubMed ID: 38317597
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Clinical evaluation of the efficacy of limbus artificial intelligence software to augment contouring for prostate and nodes radiotherapy.
Starke A; Poxon J; Patel K; Wells P; Morris M; Rudd P; Tipples K; MacDougall N
Br J Radiol; 2024 May; 97(1158):1125-1131. PubMed ID: 38627245
[TBL] [Abstract][Full Text] [Related]
16. Real-world validation of Artificial Intelligence-based Computed Tomography auto-contouring for prostate cancer radiotherapy planning.
Palazzo G; Mangili P; Deantoni C; Fodor A; Broggi S; Castriconi R; Ubeira Gabellini MG; Del Vecchio A; Di Muzio NG; Fiorino C
Phys Imaging Radiat Oncol; 2023 Oct; 28():100501. PubMed ID: 37920450
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.
Abbani N; Baudier T; Rit S; Franco FD; Okoli F; Jaouen V; Tilquin F; Barateau A; Simon A; de Crevoisier R; Bert J; Sarrut D
Med Phys; 2022 Nov; 49(11):6930-6944. PubMed ID: 36000762
[TBL] [Abstract][Full Text] [Related]
19. Human factors in the clinical implementation of deep learning-based automated contouring of pelvic organs at risk for MRI-guided radiotherapy.
Abdulkadir Y; Luximon D; Morris E; Chow P; Kishan AU; Mikaeilian A; Lamb JM
Med Phys; 2023 Oct; 50(10):5969-5977. PubMed ID: 37646527
[TBL] [Abstract][Full Text] [Related]
20. AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases.
Wu X; Udupa JK; Tong Y; Odhner D; Pednekar GV; Simone CB; McLaughlin D; Apinorasethkul C; Apinorasethkul O; Lukens J; Mihailidis D; Shammo G; James P; Tiwari A; Wojtowicz L; Camaratta J; Torigian DA
Med Image Anal; 2019 May; 54():45-62. PubMed ID: 30831357
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
