BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 38537309)

  • 1. Predicting treatment plan approval probability for high-dose-rate brachytherapy of cervical cancer using adversarial deep learning.
    Gao Y; Gonzalez Y; Nwachukwu C; Albuquerque K; Jia X
    Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38537309
    [No Abstract]   [Full Text] [Related]  

  • 2. Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.
    Shen C; Gonzalez Y; Klages P; Qin N; Jung H; Chen L; Nguyen D; Jiang SB; Jia X
    Phys Med Biol; 2019 May; 64(11):115013. PubMed ID: 30978709
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deformable image registration-based contour propagation yields clinically acceptable plans for MRI-based cervical cancer brachytherapy planning.
    Chapman CH; Polan D; Vineberg K; Jolly S; Maturen KE; Brock KK; Prisciandaro JI
    Brachytherapy; 2018; 17(2):360-367. PubMed ID: 29331573
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.
    Shen Y; Tang X; Lin S; Jin X; Ding J; Shao M
    Med Phys; 2024 Jan; 51(1):545-555. PubMed ID: 37748133
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A knowledge-based organ dose prediction tool for brachytherapy treatment planning of patients with cervical cancer.
    Yusufaly TI; Kallis K; Simon A; Mayadev J; Yashar CM; Einck JP; Mell LK; Brown D; Scanderbeg D; Hild SJ; Covele B; Moore KL; Meyers SM
    Brachytherapy; 2020; 19(5):624-634. PubMed ID: 32513446
    [TBL] [Abstract][Full Text] [Related]  

  • 6. RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.
    Mao X; Pineau J; Keyes R; Enger SA
    Int J Radiat Oncol Biol Phys; 2020 Nov; 108(3):802-812. PubMed ID: 32413546
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.
    Jihong C; Penggang B; Xiuchun Z; Kaiqiang C; Wenjuan C; Yitao D; Jiewei Q; Kerun Q; Jing Z; Tianming W
    Technol Cancer Res Treat; 2020; 19():1533033820957002. PubMed ID: 33016230
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modeling physician's preference in treatment plan approval of stereotactic body radiation therapy of prostate cancer.
    Gao Y; Shen C; Gonzalez Y; Jia X
    Phys Med Biol; 2022 May; 67(11):. PubMed ID: 35523171
    [No Abstract]   [Full Text] [Related]  

  • 9. Single magnetic resonance imaging vs magnetic resonance imaging/computed tomography planning in cervical cancer brachytherapy.
    Beriwal S; Kim H; Coon D; Mogus R; Heron DE; Li X; Huq MS
    Clin Oncol (R Coll Radiol); 2009 Aug; 21(6):483-7. PubMed ID: 19423307
    [TBL] [Abstract][Full Text] [Related]  

  • 10. New inverse planning technology for image-guided cervical cancer brachytherapy: description and evaluation within a clinical frame.
    Trnková P; Pötter R; Baltas D; Karabis A; Fidarova E; Dimopoulos J; Georg D; Kirisits C
    Radiother Oncol; 2009 Nov; 93(2):331-40. PubMed ID: 19846230
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning.
    Li X; Zhang J; Sheng Y; Chang Y; Yin FF; Ge Y; Wu QJ; Wang C
    Phys Med Biol; 2020 Sep; 65(17):175014. PubMed ID: 32663813
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dose prediction of organs at risk in patients with cervical cancer receiving brachytherapy using needle insertion based on a neural network method.
    Zhang HW; Zhong XM; Zhang ZH; Pang HW
    BMC Cancer; 2023 Apr; 23(1):385. PubMed ID: 37106444
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel external beam radiotherapy method for cervical cancer patients using virtual straight or bending boost areas; an in-silico feasibility study.
    Cozzi L; Beriwal S; Kuusela E; Chopra S; Burger H; Joubert N; Fogliata A; Agarwal JP; Kupelian P
    Radiat Oncol; 2021 Jun; 16(1):110. PubMed ID: 34127013
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel two-step optimization method for tandem and ovoid high-dose-rate brachytherapy treatment for locally advanced cervical cancer.
    Sharma M; Fields EC; Todor DA
    Brachytherapy; 2015; 14(5):613-8. PubMed ID: 26092424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Practically achievable maximum high-risk clinical target volume doses in MRI-guided intracavitary brachytherapy for cervical cancer: a planning study.
    Menon G; Huang F; Sloboda R; Pearcey R; Ghosh S
    Brachytherapy; 2014; 13(6):572-8. PubMed ID: 25085455
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning-based dose prediction for pancreatic stereotactic body radiation therapy using dual pyramid adversarial network.
    Momin S; Lei Y; Wang T; Zhang J; Roper J; Bradley JD; Curran WJ; Patel P; Liu T; Yang X
    Phys Med Biol; 2021 Jun; 66(12):. PubMed ID: 34087807
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A hybrid optimization strategy for deliverable intensity-modulated radiotherapy plan generation using deep learning-based dose prediction.
    Sun Z; Xia X; Fan J; Zhao J; Zhang K; Wang J; Hu W
    Med Phys; 2022 Mar; 49(3):1344-1356. PubMed ID: 35043971
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Patient's specific integration of OAR doses (D2 cc) from EBRT and 3D image-guided brachytherapy for cervical cancer.
    Gelover E; Katherine C; Mart C; Sun W; Kim Y
    J Appl Clin Med Phys; 2018 Mar; 19(2):83-92. PubMed ID: 29349933
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of offline adaptive planning techniques in image-guided brachytherapy of cervical cancer.
    Liu H; Kinard J; Maurer J; Shang Q; Vanderstraeten C; Hayes L; Sintay B; Wiant D
    J Appl Clin Med Phys; 2018 Nov; 19(6):316-322. PubMed ID: 30284370
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.