BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

235 related articles for article (PubMed ID: 37394837)

  • 1. A deep learning approach to estimate x-ray scatter in digital breast tomosynthesis: From phantom models to clinical applications.
    Pinto MC; Mauter F; Michielsen K; Biniazan R; Kappler S; Sechopoulos I
    Med Phys; 2023 Aug; 50(8):4744-4757. PubMed ID: 37394837
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning for x-ray scatter correction in dedicated breast CT.
    Pautasso JJ; Caballo M; Mikerov M; Boone JM; Michielsen K; Sechopoulos I
    Med Phys; 2023 Apr; 50(4):2022-2036. PubMed ID: 36565012
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.
    Nomura Y; Xu Q; Shirato H; Shimizu S; Xing L
    Med Phys; 2019 Jul; 46(7):3142-3155. PubMed ID: 31077390
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep-learning-based projection-domain breast thickness estimation for shape-prior iterative image reconstruction in digital breast tomosynthesis.
    Lee S; Kim H; Lee H; Cho S
    Med Phys; 2022 Jun; 49(6):3670-3682. PubMed ID: 35297075
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A software-based x-ray scatter correction method for breast tomosynthesis.
    Jia Feng SS; Sechopoulos I
    Med Phys; 2011 Dec; 38(12):6643-53. PubMed ID: 22149846
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions.
    Xiang H; Lim H; Fessler JA; Dewaraja YK
    Eur J Nucl Med Mol Imaging; 2020 Dec; 47(13):2956-2967. PubMed ID: 32415551
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fully iterative scatter corrected digital breast tomosynthesis using GPU-based fast Monte Carlo simulation and composition ratio update.
    Kim K; Lee T; Seong Y; Lee J; Jang KE; Choi J; Choi YW; Kim HH; Shin HJ; Cha JH; Cho S; Ye JC
    Med Phys; 2015 Sep; 42(9):5342-55. PubMed ID: 26328983
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects on image quality of a 2D antiscatter grid in x-ray digital breast tomosynthesis: Initial experience using the dual modality (x-ray and molecular) breast tomosynthesis scanner.
    Patel T; Peppard H; Williams MB
    Med Phys; 2016 Apr; 43(4):1720. PubMed ID: 27036570
    [TBL] [Abstract][Full Text] [Related]  

  • 9. X-ray scatter correction in breast tomosynthesis with a precomputed scatter map library.
    Feng SS; D'Orsi CJ; Newell MS; Seidel RL; Patel B; Sechopoulos I
    Med Phys; 2014 Mar; 41(3):031912. PubMed ID: 24593730
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dosimetric characterization and organ dose assessment in digital breast tomosynthesis: Measurements and Monte Carlo simulations using voxel phantoms.
    Baptista M; Di Maria S; Barros S; Figueira C; Sarmento M; Orvalho L; Vaz P
    Med Phys; 2015 Jul; 42(7):3788-800. PubMed ID: 26133581
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Scatter radiation in digital tomosynthesis of the breast.
    Sechopoulos I; Suryanarayanan S; Vedantham S; D'Orsi CJ; Karellas A
    Med Phys; 2007 Feb; 34(2):564-76. PubMed ID: 17388174
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images.
    Chan HP; Helvie MA; Gao M; Hadjiiski L; Zhou C; Garver K; Klein KA; McLaughlin C; Oudsema R; Rahman WT; Roubidoux MA
    Med Phys; 2023 Oct; 50(10):6177-6189. PubMed ID: 37145996
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-learning convolutional neural network-based scatter correction for contrast enhanced digital breast tomosynthesis in both cranio-caudal and mediolateral-oblique views.
    Duan X; Sahu P; Huang H; Zhao W
    J Med Imaging (Bellingham); 2023 Feb; 10(Suppl 2):S22404. PubMed ID: 36937988
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monte Carlo simulation for the estimation of the glandular breast dose for a digital breast tomosynthesis system.
    Rodrigues L; Magalhaes LA; Braz D
    Radiat Prot Dosimetry; 2015 Dec; 167(4):576-83. PubMed ID: 25480841
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Scatter radiation intensities around a clinical digital breast tomosynthesis unit and the impact on radiation shielding considerations.
    Yang K; Li X; Liu B
    Med Phys; 2016 Mar; 43(3):1096-110. PubMed ID: 26936697
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Efficient scatter distribution estimation and correction in CBCT using concurrent Monte Carlo fitting.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2015 Jan; 42(1):54-68. PubMed ID: 25563247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A feasibility study on deep-neural-network-based dose-neutral dual-energy digital breast tomosynthesis.
    Kim H; Lee H; Lee S; Choi YW; Choi YJ; Kim KH; Seo W; Shin CW; Cho S
    Med Phys; 2023 Feb; 50(2):791-807. PubMed ID: 36273397
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of scatter effects on image quality for breast tomosynthesis.
    Wu G; Mainprize JG; Boone JM; Yaffe MJ
    Med Phys; 2009 Oct; 36(10):4425-32. PubMed ID: 19928073
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparisons of glandular breast dose between digital mammography, tomosynthesis and breast CT based on anthropomorphic patient-derived breast phantoms.
    Sarno A; Mettivier G; Bliznakova K; Hernandez AM; Boone JM; Russo P
    Phys Med; 2022 May; 97():50-58. PubMed ID: 35395535
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatial frequency spectrum of the x-ray scatter distribution in CBCT projections.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2013 Nov; 40(11):111901. PubMed ID: 24320434
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.