176 related articles for article (PubMed ID: 37091485)
1. Achieving Exceptional Cochlea Delineation in Radiotherapy Scans: The Impact of Optimal Window Width and Level Settings.
Shanbhag NM; Sulaiman Bin Sumaida A; Saleh M
Cureus; 2023 Apr; 15(4):e37741. PubMed ID: 37091485
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Automatic CT simulation optimization for radiation therapy: A general strategy.
Li H; Yu L; Anastasio MA; Chen HC; Tan J; Gay H; Michalski JM; Low DA; Mutic S
Med Phys; 2014 Mar; 41(3):031913. PubMed ID: 24593731
[TBL] [Abstract][Full Text] [Related]
5. Contouring of emerging organs-at-risk (OARS) of the female pelvis and interobserver variability: A study by the Italian association of radiotherapy and clinical oncology (AIRO).
Augurio A; Macchia G; Caravatta L; Lucarelli M; Di Gugliemo F; Vinciguerra A; Seccia B; De Sanctis V; Autorino R; Delle Curti C; Meregalli S; Perrucci E; Raspanti D; Cerrotta A
Clin Transl Radiat Oncol; 2023 Nov; 43():100688. PubMed ID: 37854671
[TBL] [Abstract][Full Text] [Related]
6. Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto-contouring.
Udupa JK; Liu T; Jin C; Zhao L; Odhner D; Tong Y; Agrawal V; Pednekar G; Nag S; Kotia T; Goodman M; Wileyto EP; Mihailidis D; Lukens JN; Berman AT; Stambaugh J; Lim T; Chowdary R; Jalluri D; Jabbour SK; Kim S; Reyhan M; Robinson CG; Thorstad WL; Choi JI; Press R; Simone CB; Camaratta J; Owens S; Torigian DA
Med Phys; 2022 Nov; 49(11):7118-7149. PubMed ID: 35833287
[TBL] [Abstract][Full Text] [Related]
7. Head-and-neck organs-at-risk auto-delineation using dual pyramid networks for CBCT-guided adaptive radiotherapy.
Dai X; Lei Y; Wang T; Dhabaan AH; McDonald M; Beitler JJ; Curran WJ; Zhou J; Liu T; Yang X
Phys Med Biol; 2021 Feb; 66(4):045021. PubMed ID: 33412527
[TBL] [Abstract][Full Text] [Related]
8. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
9. Improving superficial target delineation in radiation therapy with endoscopic tracking and registration.
Weersink RA; Qiu J; Hope AJ; Daly MJ; Cho BC; Dacosta RS; Sharpe MB; Breen SL; Chan H; Jaffray DA
Med Phys; 2011 Dec; 38(12):6458-68. PubMed ID: 22149829
[TBL] [Abstract][Full Text] [Related]
10. Contouring cardiac substructures on average intensity projection 4D-CT for lung cancer radiotherapy: A proposal of a heart valve contouring atlas.
Socha J; Rygielska A; Uziębło-Życzkowska B; Chałubińska-Fendler J; Jurek A; Maciorowska M; Mielniczuk M; Pawłowski P; Tyc-Szczepaniak D; Krzesiński P; Kepka L
Radiother Oncol; 2022 Feb; 167():261-268. PubMed ID: 34990727
[TBL] [Abstract][Full Text] [Related]
11. Initial Evaluation of a Novel Cone-Beam CT-Based Semi-Automated Online Adaptive Radiotherapy System for Head and Neck Cancer Treatment - A Timing and Automation Quality Study.
Yoon SW; Lin H; Alonso-Basanta M; Anderson N; Apinorasethkul O; Cooper K; Dong L; Kempsey B; Marcel J; Metz J; Scheuermann R; Li T
Cureus; 2020 Aug; 12(8):e9660. PubMed ID: 32923257
[TBL] [Abstract][Full Text] [Related]
12. vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images.
Podobnik G; Ibragimov B; Peterlin P; Strojan P; Vrtovec T
Med Phys; 2024 Mar; 51(3):2175-2186. PubMed ID: 38230752
[TBL] [Abstract][Full Text] [Related]
13. Evaluating the impact of a Canadian national anatomy and radiology contouring boot camp for radiation oncology residents.
Jaswal J; D'Souza L; Johnson M; Tay K; Fung K; Nichols A; Landis M; Leung E; Kassam Z; Willmore K; D'Souza D; Sexton T; Palma DA
Int J Radiat Oncol Biol Phys; 2015 Mar; 91(4):701-7. PubMed ID: 25596106
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk.
Thomson D; Boylan C; Liptrot T; Aitkenhead A; Lee L; Yap B; Sykes A; Rowbottom C; Slevin N
Radiat Oncol; 2014 Aug; 9():173. PubMed ID: 25086641
[TBL] [Abstract][Full Text] [Related]
15. Multi-institutional Randomized Trial Testing the Utility of an Interactive Three-dimensional Contouring Atlas Among Radiation Oncology Residents.
Gillespie EF; Panjwani N; Golden DW; Gunther J; Chapman TR; Brower JV; Kosztyla R; Larson G; Neppala P; Moiseenko V; Bykowski J; Sanghvi P; Murphy JD
Int J Radiat Oncol Biol Phys; 2017 Jul; 98(3):547-554. PubMed ID: 28262474
[TBL] [Abstract][Full Text] [Related]
16. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.
van Dijk LV; Van den Bosch L; Aljabar P; Peressutti D; Both S; J H M Steenbakkers R; Langendijk JA; Gooding MJ; Brouwer CL
Radiother Oncol; 2020 Jan; 142():115-123. PubMed ID: 31653573
[TBL] [Abstract][Full Text] [Related]
17. Contouring and dose calculation in head and neck cancer radiotherapy after reduction of metal artifacts in CT images.
Hansen CR; Christiansen RL; Lorenzen EL; Bertelsen AS; Asmussen JT; Gyldenkerne N; Eriksen JG; Johansen J; Brink C
Acta Oncol; 2017 Jun; 56(6):874-878. PubMed ID: 28464749
[TBL] [Abstract][Full Text] [Related]
18. An evaluation of MR based deep learning auto-contouring for planning head and neck radiotherapy.
Hague C; McPartlin A; Lee LW; Hughes C; Mullan D; Beasley W; Green A; Price G; Whitehurst P; Slevin N; van Herk M; West C; Chuter R
Radiother Oncol; 2021 May; 158():112-117. PubMed ID: 33636229
[TBL] [Abstract][Full Text] [Related]
19. Autodelineation of organ at risk in head and neck cancer radiotherapy using artificial intelligence.
Bilimagga RS; Anchineyan P; Nmugam MS; Thalluri S; Goud PSK
J Cancer Res Ther; 2022 Dec; 18(Supplement):S141-S145. PubMed ID: 36510954
[TBL] [Abstract][Full Text] [Related]
20. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
