BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 35661390)

  • 1. Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers.
    Cros S; Bouttier H; Nguyen-Tan PF; Vorontsov E; Kadoury S
    J Appl Clin Med Phys; 2022 Aug; 23(8):e13655. PubMed ID: 35661390
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.
    Osman AFI; Tamam NM
    J Appl Clin Med Phys; 2022 Jul; 23(7):e13630. PubMed ID: 35533234
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.
    Nguyen D; McBeth R; Sadeghnejad Barkousaraie A; Bohara G; Shen C; Jia X; Jiang S
    Med Phys; 2020 Mar; 47(3):837-849. PubMed ID: 31821577
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.
    Osman AFI; Tamam NM; Yousif YAM
    J Appl Clin Med Phys; 2023 Sep; 24(9):e14015. PubMed ID: 37138549
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.
    Nguyen D; Jia X; Sher D; Lin MH; Iqbal Z; Liu H; Jiang S
    Phys Med Biol; 2019 Mar; 64(6):065020. PubMed ID: 30703760
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling of multiple planning target volumes for head and neck treatments in knowledge-based treatment planning.
    Zhang J; Ge Y; Sheng Y; Yin FF; Wu QJ
    Med Phys; 2019 Sep; 46(9):3812-3822. PubMed ID: 31236943
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using deep learning to predict beam-tunable Pareto optimal dose distribution for intensity-modulated radiation therapy.
    Bohara G; Sadeghnejad Barkousaraie A; Jiang S; Nguyen D
    Med Phys; 2020 Sep; 47(9):3898-3912. PubMed ID: 32621789
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A method for a priori estimation of best feasible DVH for organs-at-risk: Validation for head and neck VMAT planning.
    Ahmed S; Nelms B; Gintz D; Caudell J; Zhang G; Moros EG; Feygelman V
    Med Phys; 2017 Oct; 44(10):5486-5497. PubMed ID: 28777469
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Domain knowledge driven 3D dose prediction using moment-based loss function.
    Jhanwar G; Dahiya N; Ghahremani P; Zarepisheh M; Nadeem S
    Phys Med Biol; 2022 Sep; 67(18):. PubMed ID: 36027876
    [No Abstract]   [Full Text] [Related]  

  • 10. Site-agnostic 3D dose distribution prediction with deep learning neural networks.
    Mashayekhi M; Tapia IR; Balagopal A; Zhong X; Barkousaraie AS; McBeth R; Lin MH; Jiang S; Nguyen D
    Med Phys; 2022 Mar; 49(3):1391-1406. PubMed ID: 35037276
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dose-shaping using targeted sparse optimization.
    Sayre GA; Ruan D
    Med Phys; 2013 Jul; 40(7):071711. PubMed ID: 23822415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of dose-volume histogram prediction for organ-at risk and planning target volume based on machine learning.
    Jiao SX; Wang ML; Chen LX; Liu XW
    Sci Rep; 2021 Feb; 11(1):3117. PubMed ID: 33542427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A feasibility study on deep learning-based individualized 3D dose distribution prediction.
    Ma J; Nguyen D; Bai T; Folkerts M; Jia X; Lu W; Zhou L; Jiang S
    Med Phys; 2021 Aug; 48(8):4438-4447. PubMed ID: 34091925
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel four-dimensional radiotherapy planning strategy from a tumor-tracking beam's eye view.
    Li G; Cohen P; Xie H; Low D; Li D; Rimner A
    Phys Med Biol; 2012 Nov; 57(22):7579-98. PubMed ID: 23103415
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture.
    Gronberg MP; Gay SS; Netherton TJ; Rhee DJ; Court LE; Cardenas CE
    Med Phys; 2021 Sep; 48(9):5567-5573. PubMed ID: 34157138
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Efficient dose-volume histogram-based pretreatment patient-specific quality assurance methodology with combined deep learning and machine learning models for volumetric modulated arc radiotherapy.
    Gong C; Zhu K; Lin C; Han C; Lu Z; Chen Y; Yu C; Hou L; Zhou Y; Yi J; Ai Y; Xiang X; Xie C; Jin X
    Med Phys; 2022 Dec; 49(12):7779-7790. PubMed ID: 36190117
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.
    Lian J; Yuan L; Ge Y; Chera BS; Yoo DP; Chang S; Yin F; Wu QJ
    Med Phys; 2013 Dec; 40(12):121704. PubMed ID: 24320490
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Knowledge-based dose prediction models for head and neck cancer are strongly affected by interorgan dependency and dataset inconsistency.
    Wang Y; Heijmen BJM; Petit SF
    Med Phys; 2019 Feb; 46(2):934-943. PubMed ID: 30506855
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.
    Hu C; Wang H; Zhang W; Xie Y; Jiao L; Cui S
    J Appl Clin Med Phys; 2023 Jul; 24(7):e13942. PubMed ID: 36867441
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.