BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 38648734)

  • 1. Breast density quantification in dual-energy mammography using virtual anthropomorphic phantoms.
    Pacheco G; Castillo-Lopez JP; Villaseñor-Navarro Y; Brandan ME
    J Appl Clin Med Phys; 2024 May; 25(5):e14360. PubMed ID: 38648734
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.
    Wang J; Kato F; Yamashita H; Baba M; Cui Y; Li R; Oyama-Manabe N; Shirato H
    J Digit Imaging; 2017 Apr; 30(2):215-227. PubMed ID: 27832519
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison between software volumetric breast density estimates in breast tomosynthesis and digital mammography images in a large public screening cohort.
    Förnvik D; Förnvik H; Fieselmann A; Lång K; Sartor H
    Eur Radiol; 2019 Jan; 29(1):330-336. PubMed ID: 29943180
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR Imaging.
    Pertuz S; McDonald ES; Weinstein SP; Conant EF; Kontos D
    Radiology; 2016 Apr; 279(1):65-74. PubMed ID: 26491909
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative evaluation of breast density using a dual-energy technique on a digital breast tomosynthesis system.
    Lu KM; Yeh DM; Cao BH; Lin CY; Liang CY; Zhou YB; Tsai CJ
    J Appl Clin Med Phys; 2019 Jun; 20(6):170-177. PubMed ID: 31106990
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quantification of breast density with dual energy mammography: an experimental feasibility study.
    Ducote JL; Molloi S
    Med Phys; 2010 Feb; 37(2):793-801. PubMed ID: 20229889
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Compositional breast imaging using a dual-energy mammography protocol.
    Laidevant AD; Malkov S; Flowers CI; Kerlikowske K; Shepherd JA
    Med Phys; 2010 Jan; 37(1):164-74. PubMed ID: 20175478
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Postmortem validation of breast density using dual-energy mammography.
    Molloi S; Ducote JL; Ding H; Feig SA
    Med Phys; 2014 Aug; 41(8):081917. PubMed ID: 25086548
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging.
    Ruvio G; Solimene R; Cuccaro A; Fiaschetti G; Fagan AJ; Cournane S; Cooke J; Ammann MJ; Tobon J; Browne JE
    Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32340281
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Calibration phantoms for accurate water and lipid density quantification using dual energy mammography.
    Cho HM; Ding H; Kumar N; Sennung D; Molloi S
    Phys Med Biol; 2017 Jun; 62(11):4589-4603. PubMed ID: 28440226
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Exact dual energy material decomposition from inconsistent rays (MDIR).
    Maass C; Meyer E; Kachelriess M
    Med Phys; 2011 Feb; 38(2):691-700. PubMed ID: 21452706
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Quantification of breast lesion compositions using low-dose spectral mammography: A feasibility study.
    Ding H; Sennung D; Cho HM; Molloi S
    Med Phys; 2016 Oct; 43(10):5527. PubMed ID: 27782705
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of volumetric breast density estimations from mammography and thorax CT.
    Geeraert N; Klausz R; Cockmartin L; Muller S; Bosmans H; Bloch I
    Phys Med Biol; 2014 Aug; 59(15):4391-409. PubMed ID: 25049219
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Quantification of breast density with spectral mammography based on a scanned multi-slit photon-counting detector: a feasibility study.
    Ding H; Molloi S
    Phys Med Biol; 2012 Aug; 57(15):4719-38. PubMed ID: 22771941
    [TBL] [Abstract][Full Text] [Related]  

  • 17. INDIVIDUALISED CALCULATION OF TISSUE IMPARTED ENERGY IN BREAST TOMOSYNTHESIS.
    Geeraert N; Klausz R; Muller S; Bloch I; Bosmans H
    Radiat Prot Dosimetry; 2016 Jun; 169(1-4):267-73. PubMed ID: 27127209
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validation of a method for measuring the volumetric breast density from digital mammograms.
    Alonzo-Proulx O; Packard N; Boone JM; Al-Mayah A; Brock KK; Shen SZ; Yaffe MJ
    Phys Med Biol; 2010 Jun; 55(11):3027-44. PubMed ID: 20463377
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Development of a phantom to test fully automated breast density software - A work in progress.
    Waade GG; Hofvind S; Thompson JD; Highnam R; Hogg P
    Radiography (Lond); 2017 Feb; 23(1):e14-e19. PubMed ID: 28290354
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.