These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

379 related articles for article (PubMed ID: 35297075)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Dynamic reconstruction for digital tomosynthesis: a phantom proof of concept for breast care.
    Barbieri M; Jailin C; Vancamberg L; Roux S
    Biomed Phys Eng Express; 2024 Aug; 10(5):. PubMed ID: 39053487
    [No Abstract]   [Full Text] [Related]  

  • 6. Generative compressed breast shape model for digital mammography and digital breast tomosynthesis.
    Pinto MC; Michielsen K; Biniazan R; Kappler S; Sechopoulos I
    Med Phys; 2023 May; 50(5):2928-2938. PubMed ID: 36433824
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction.
    Zheng J; Fessler JA; Chan HP
    Med Phys; 2017 Mar; 44(3):986-1001. PubMed ID: 28058719
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. An object-oriented simulator for 3D digital breast tomosynthesis imaging system.
    Seyyedi S; Cengiz K; Kamasak M; Yildirim I
    Comput Math Methods Med; 2013; 2013():250689. PubMed ID: 24371468
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DIR-DBTnet: Deep iterative reconstruction network for three-dimensional digital breast tomosynthesis imaging.
    Su T; Deng X; Yang J; Wang Z; Fang S; Zheng H; Liang D; Ge Y
    Med Phys; 2021 May; 48(5):2289-2300. PubMed ID: 33594671
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An iterative reconstruction algorithm for digital breast tomosynthesis imaging using real data at three radiation doses.
    Polat A; Yildirim I
    J Xray Sci Technol; 2018; 26(3):347-360. PubMed ID: 29504549
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel pre-processing technique for improving image quality in digital breast tomosynthesis.
    Kim H; Lee T; Hong J; Sabir S; Lee JR; Choi YW; Kim HH; Chae EY; Cho S
    Med Phys; 2017 Feb; 44(2):417-425. PubMed ID: 28032909
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.
    Teuwen J; Moriakov N; Fedon C; Caballo M; Reiser I; Bakic P; García E; Diaz O; Michielsen K; Sechopoulos I
    Med Image Anal; 2021 Jul; 71():102061. PubMed ID: 33910108
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Influence of projection data correction on digital breast tomosynthesis imaging].
    Zhang XY; Zhang H; Bian ZY; Zeng D; He J; Tian XM; Ma JH; Huang J
    Nan Fang Yi Ke Da Xue Xue Bao; 2017 Mar; 37(3):323-329. PubMed ID: 28377347
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A new projection correction based voting strategy for breast calcification artifact reduction.
    Tang H; Wang J; Sun L; Wang S; Xiang J; Xi Y; Chen Y; Jiang Y
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37582378
    [No Abstract]   [Full Text] [Related]  

  • 17. Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array.
    Hu Z; Chen Z; Zhou C; Hong X; Chen J; Zhang Q; Jiang C; Ge Y; Yang Y; Liu X; Zheng H; Li Z; Liang D
    J Xray Sci Technol; 2020; 28(6):1157-1169. PubMed ID: 32925159
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction.
    Zhang Y; Chan HP; Sahiner B; Wei J; Zhou C; Hadjiiski LM
    J Comput Assist Tomogr; 2009; 33(3):426-35. PubMed ID: 19478639
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Investigating simulation-based metrics for characterizing linear iterative reconstruction in digital breast tomosynthesis.
    Rose SD; Sanchez AA; Sidky EY; Pan X
    Med Phys; 2017 Sep; 44(9):e279-e296. PubMed ID: 28901614
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach.
    Gao M; Fessler JA; Chan HP
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988758
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 19.