BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 36135718)

  • 1. Technical note: A method to synthesize magnetic resonance images in different patient rotation angles with deep learning for gantry-free radiotherapy.
    Chen X; Cao Y; Zhang K; Wang Z; Xie X; Wang Y; Men K; Dai J
    Med Phys; 2023 Mar; 50(3):1746-1755. PubMed ID: 36135718
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
    Zhao Y; Wang H; Yu C; Court LE; Wang X; Wang Q; Pan T; Ding Y; Phan J; Yang J
    Med Phys; 2023 Jul; 50(7):4399-4414. PubMed ID: 36698291
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Patch-based generative adversarial neural network models for head and neck MR-only planning.
    Klages P; Benslimane I; Riyahi S; Jiang J; Hunt M; Deasy JO; Veeraraghavan H; Tyagi N
    Med Phys; 2020 Feb; 47(2):626-642. PubMed ID: 31733164
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture.
    Tahri S; Barateau A; Cadin C; Chourak H; Ribault S; Nozahic F; Acosta O; Dowling JA; Greer PB; Largent A; Lafond C; De Crevoisier R; Nunes JC
    Phys Med; 2022 Nov; 103():108-118. PubMed ID: 36272328
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pelvic organ motion and dosimetric implications during horizontal patient rotation for prostate radiation therapy.
    Buckley JG; Dowling JA; Sidhom M; Liney GP; Rai R; Metcalfe PE; Holloway LC; Keall PJ
    Med Phys; 2021 Jan; 48(1):397-413. PubMed ID: 33151543
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improvement of 2D cine image quality using 3D priors and cycle generative adversarial network for low field MRI-guided radiation therapy.
    Dong Y; Yang F; Wen J; Cai J; Zeng F; Liu M; Li S; Wang J; Ford JC; Portelance L; Yang Y
    Med Phys; 2024 May; 51(5):3495-3509. PubMed ID: 38043123
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
    Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
    Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An MRI-compatible patient rotation system - design, construction, and first organ deformation results.
    Whelan B; Liney GP; Dowling JA; Rai R; Holloway L; McGarvie L; Feain I; Barton M; Berry M; Wilkins R; Keall P
    Med Phys; 2017 Feb; 44(2):581-588. PubMed ID: 27992058
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
    Xie H; Lei Y; Wang T; Roper J; Dhabaan AH; Bradley JD; Liu T; Mao H; Yang X
    Med Phys; 2022 Jan; 49(1):357-369. PubMed ID: 34821395
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.
    Curcuru AN; Yang D; An H; Cuculich PS; Robinson CG; Gach HM
    J Appl Clin Med Phys; 2024 Mar; 25(3):e14304. PubMed ID: 38368615
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Synthetic cranial MRI from 3D optical surface scans using deep learning for radiation therapy treatment planning.
    Douglass M; Gorayski P; Patel S; Santos A
    Phys Eng Sci Med; 2023 Mar; 46(1):367-375. PubMed ID: 36752996
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy.
    Fu J; Singhrao K; Cao M; Yu V; Santhanam AP; Yang Y; Guo M; Raldow AC; Ruan D; Lewis JH
    Biomed Phys Eng Express; 2020 Jan; 6(1):015033. PubMed ID: 33438621
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
    Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
    Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.
    Liu Y; Lei Y; Wang Y; Wang T; Ren L; Lin L; McDonald M; Curran WJ; Liu T; Zhou J; Yang X
    Phys Med Biol; 2019 Jul; 64(14):145015. PubMed ID: 31146267
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning.
    Peng Y; Chen S; Qin A; Chen M; Gao X; Liu Y; Miao J; Gu H; Zhao C; Deng X; Qi Z
    Radiother Oncol; 2020 Sep; 150():217-224. PubMed ID: 32622781
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reconstruction of multicontrast MR images through deep learning.
    Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
    Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach.
    Kazemifar S; McGuire S; Timmerman R; Wardak Z; Nguyen D; Park Y; Jiang S; Owrangi A
    Radiother Oncol; 2019 Jul; 136():56-63. PubMed ID: 31015130
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A generative adversarial network-based (GAN-based) architecture for automatic fiducial marker detection in prostate MRI-only radiotherapy simulation images.
    Singhrao K; Fu J; Parikh NR; Mikaeilian AG; Ruan D; Kishan AU; Lewis JH
    Med Phys; 2020 Dec; 47(12):6405-6413. PubMed ID: 32989773
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based auto segmentation using generative adversarial network on magnetic resonance images obtained for head and neck cancer patients.
    Kawahara D; Tsuneda M; Ozawa S; Okamoto H; Nakamura M; Nishio T; Nagata Y
    J Appl Clin Med Phys; 2022 May; 23(5):e13579. PubMed ID: 35263027
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a deep learning-based patient-specific target contour prediction model for markerless tumor positioning.
    Zhou D; Nakamura M; Mukumoto N; Yoshimura M; Mizowaki T
    Med Phys; 2022 Mar; 49(3):1382-1390. PubMed ID: 35026057
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.