Recent Journal Articles

  1. WATUNet- a deep neural network for segmentation of volumetric sweep imaging ultrasound
    D. Khaledyan, T. J. Marini, A. M. O'Connell, S. Meng, J. Kan, G. Brennan, Y. Zhao, T. M. Baran, and K. J. Parker
    Mach Learn Sci Technol, vol. 5, no. 1 , pp. 015042-1 -015042-21  (2024). View PDF
  2. 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
  3. Limitations of curl and directional filters in elastography
    K. J. Parker
    Acoustics, vol. 5, no. 2 , pp. 575 -585  (2023). View PDF
  4. 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
  5. 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, vol. 51, no. 2 , pp. 1313 -1325  (2023). View PDF
  6. 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
  7. 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
  8. 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
  9. Detecting kidney fibrosis using H-scan
    J. Baek, E. Hysi, X. He, D. A. Yuen, M. C. Kolios, and K. J. Parker
    Proceedings, 2022 IEEE International Ultrasonics Symposium, doi: 10.1109/IUS54386.2022.9957217 , pp. 1 -4  (2022). View PDF
  10. Burr distribution describes ultrasound speckle statistics of soft biological tissues
    S. S. Poul, S. J. Hollenbach, and K. J. Parker
    Proceedings, 2022 IEEE International Ultrasonics Symposium, doi: 10.1109/IUS54386.2022.9957933 , pp. 1 -4  (2022). View PDF
  11. Breast lesion detection and visualization utilizing artificial intelligence and the H-scan
    J. Baek, A. M. O'Connell, and K. J. Parker
    Proceedings, 2022 IEEE International Ultrasonics Symposium, doi: 10.1109/IUS54386.2022.9957217 , pp. 1 -4  (2022). View PDF
  12. 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
  13. 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
  14. The spherical harmonic family of beampatterns
    K. J. Parker and M. A. Alonso
    Acoustics, vol. 4, no. 4 , pp. 958 -966  (2022). View PDF
  15. 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