BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

215 related articles for article (PubMed ID: 36272328)

  • 1. 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]  

  • 2. Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.
    Largent A; Barateau A; Nunes JC; Mylona E; Castelli J; Lafond C; Greer PB; Dowling JA; Baxter J; Saint-Jalmes H; Acosta O; de Crevoisier R
    Int J Radiat Oncol Biol Phys; 2019 Dec; 105(5):1137-1150. PubMed ID: 31505245
    [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. Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy.
    Maspero M; Savenije MHF; Dinkla AM; Seevinck PR; Intven MPW; Jurgenliemk-Schulz IM; Kerkmeijer LGW; van den Berg CAT
    Phys Med Biol; 2018 Sep; 63(18):185001. PubMed ID: 30109989
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Feasibility of MRI-only treatment planning for proton therapy in brain and prostate cancers: Dose calculation accuracy in substitute CT images.
    Koivula L; Wee L; Korhonen J
    Med Phys; 2016 Aug; 43(8):4634. PubMed ID: 27487880
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study.
    Tahri S; Texier B; Nunes JC; Hemon C; Lekieffre P; Collot E; Chourak H; Le Guevelou J; Greer P; Dowling J; Acosta O; Bessieres I; Marage L; Boue-Rafle A; De Crevoisier R; Lafond C; Barateau A
    Front Oncol; 2023; 13():1279750. PubMed ID: 38090490
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases.
    Lenkowicz J; Votta C; Nardini M; Quaranta F; Catucci F; Boldrini L; Vagni M; Menna S; Placidi L; Romano A; Chiloiro G; Gambacorta MA; Mattiucci GC; Indovina L; Valentini V; Cusumano D
    Radiother Oncol; 2022 Nov; 176():31-38. PubMed ID: 36063982
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluating the Hounsfield unit assignment and dose differences between CT-based standard and deep learning-based synthetic CT images for MRI-only radiation therapy of the head and neck.
    Singhrao K; Dugan CL; Calvin C; Pelayo L; Yom SS; Chan JW; Scholey JE; Singer L
    J Appl Clin Med Phys; 2024 Jan; 25(1):e14239. PubMed ID: 38128040
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SARU: A self-attention ResUNet to generate synthetic CT images for MR-only BNCT treatment planning.
    Zhao S; Geng C; Guo C; Tian F; Tang X
    Med Phys; 2023 Jan; 50(1):117-127. PubMed ID: 36129452
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning.
    Liu Y; Lei Y; Wang Y; Shafai-Erfani G; Wang T; Tian S; Patel P; Jani AB; McDonald M; Curran WJ; Liu T; Zhou J; Yang X
    Phys Med Biol; 2019 Oct; 64(20):205022. PubMed ID: 31487698
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy.
    Gao L; Xie K; Wu X; Lu Z; Li C; Sun J; Lin T; Sui J; Ni X
    Radiat Oncol; 2021 Oct; 16(1):202. PubMed ID: 34649572
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generation of synthetic CT from CBCT using deep learning approaches for head and neck cancer patients.
    Aouadi S; Yoganathan SA; Torfeh T; Paloor S; Caparrotti P; Hammoud R; Al-Hammadi N
    Biomed Phys Eng Express; 2023 Aug; 9(5):. PubMed ID: 37489854
    [No 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. MR to CT synthesis with multicenter data in the pelvic area using a conditional generative adversarial network.
    Brou Boni KND; Klein J; Vanquin L; Wagner A; Lacornerie T; Pasquier D; Reynaert N
    Phys Med Biol; 2020 Apr; 65(7):075002. PubMed ID: 32053808
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MR-based synthetic CT image for intensity-modulated proton treatment planning of nasopharyngeal carcinoma patients.
    Chen S; Peng Y; Qin A; Liu Y; Zhao C; Deng X; Deraniyagala R; Stevens C; Ding X
    Acta Oncol; 2022 Nov; 61(11):1417-1424. PubMed ID: 36305424
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving CBCT quality to CT level using deep learning with generative adversarial network.
    Zhang Y; Yue N; Su MY; Liu B; Ding Y; Zhou Y; Wang H; Kuang Y; Nie K
    Med Phys; 2021 Jun; 48(6):2816-2826. PubMed ID: 33259647
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method.
    Liu Y; Lei Y; Wang T; Kayode O; Tian S; Liu T; Patel P; Curran WJ; Ren L; Yang X
    Br J Radiol; 2019 Aug; 92(1100):20190067. PubMed ID: 31192695
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging.
    Tian L; Lühr A
    Acta Oncol; 2023 Nov; 62(11):1461-1469. PubMed ID: 37703314
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning MRI-only synthetic-CT generation for pelvis, brain and head and neck cancers.
    Bird D; Speight R; Andersson S; Wingqvist J; Al-Qaisieh B
    Radiother Oncol; 2024 Feb; 191():110052. PubMed ID: 38096921
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.