Recent Journal Articles

  1. H-scan discrimination for tumor microenvironmental heterogeneity in melanoma
    J. Baek, S. S. Qin, P. A. Prieto, and K. J. Parker
    Ultrasound Med Biol, vol. 50, no. 2 , pp. 268 -276  (2024). View PDF
  2. Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques- Sharp attention UNet
    D. Khaledyan, T. J. Marini, T. M. Baran, A. M. O'Connell, and K. J. Parker
    PLoS One, vol. 18, no. 12 , pp. e0289195-1 -e0289195-22  (2023). View PDF
  3. Multiparametric ultrasound imaging for early-stage steatosis: comparison with magnetic resonance imaging-based proton density fat fraction
    J. Baek, L. Basavarajappa, R. Margolis, L, Arthur, J. Li, K. Hoyt, and K. J. Parker
    Med Phys , pp. 1 -13  (2023). View PDF
  4. Fluid compartments influence elastography of the aging mouse brain
    G. R. Ge, J. P. Rolland, W. Song, M. Nedergaard, and K. J. Parker
    Phys Med Biol, vol 68, no. 9 , pp. 095004-1 -095004-10  (2023). View PDF
  5. The expanding frontier of optical elastography and diagnostic biomechanics
    K. J. Parker, G. R. Ge, J. P. Rolland, and M. Nedergaard
    Proceedings, SPIE BiOS, Optical Elastography and Tissue Biomechanics X, vol. 12381 , pp. 1238103-1 -1238103-4  (2023). View PDF
  6. Reverberant magnetic resonance elastographic imaging using a single mechanical driver
    I. E. Kabir, D. Caban-Rivera, J. Ormachea, K. J. Parker, C. L. Johnson, and M. M. Doyley
    Phys Med Biol 68(5) , pp. 055015-1 -055015-16  (2023). View PDF
  7. No sonographer, no radiologist: assessing accuracy of artificial intelligence on breast ultrasound volume sweep imaging scans
    T. J. Marini, B. Castaneda, K. J. Parker, T. M. Baran, S. E. Romero, R. Iyer, Y. Zhao, Z. Hah, M. H. Park, G. Brennan, J. Kan, S. Meng, A. M. Dozier, and A. M. O'Connell
    PLOS Digit Health, vol. 1, no. 11 , pp. e0000148-1 -e0000148-21  (2022). View PDF
  8. Theory of sleep-wake cycles affecting brain elastography
    G. R. Ge, W. Song, M. Nedergaard, J. P. Rolland, and K. J. Parker
    Phys Med Biol, vol. 67, no. 22 , pp. 225013-1 -225013-16  (2022). View PDF
  9. The spherical harmonic family of beampatterns
    K. J. Parker and M. A. Alonso
    Acoustics, vol. 4, no. 4 , pp. 958 -966  (2022). View PDF
  10. Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning
    J. Baek, A. M. O'Connell, and K. J. Parker
    Mach Learn Sci Technol, vol. 3, no. 4 , pp. 045013-1 -045013-19  (2022). View PDF
  11. Breast ultrasound volume sweep imaging: a new horizon in expanding imaging access for breast cancer detection
    T. J. Marini, B. Castaneda, R. Iyer, T. M. Baran, O. Nemer, A. M. Dozier, K. J. Parker, Y. Zhao, W. Serratelli, G. Matos, S. Ali, B. Ghobryal, A. Visca, and A. M. O'Connell
    J Ultrasound Med, vol. 42, no. 4 , pp. 817 -832  (2022). View PDF
  12. Comprehensive experimental assessments of rheological models’ performance in elastography of soft tissues
    S. S. Poul, J. Ormachea, G. R. Ge, and K. J. Parker
    Acta Biomaterialia, vol. 146 , pp. 259 -273  (2022). View PDF
  13. Power laws prevail in medical ultrasound
    K. J. Parker
    Phys Med Biol, vol. 67, no. 9 , pp. 09TR02-1 -09TR02-12  (2022). View PDF
  14. Characterization of viscoelastic media using reverberant shear wave autocorrelation estimator
    S. S. Poul, J. Ormachea, and K. J. Parker
    Proceedings, SPIE BiOS, Medical Imaging 2022: Ultrasonic Imaging and Tomography, vol. 12038 , pp. 1203807-1 -1203807-6  (2022). View PDF
  15. Local Burr distribution estimator for speckle statistics
    G. R. Ge, J. P. Rolland, and K. J. Parker
    Biomed Opt Express, vol. 13, no. 4 , pp. 2334 -2345  (2022). View PDF