Recent Journal Articles

  1. Mouse brain elastography changes with sleep-wake cycles, aging, and Alzheimer's disease
    G. R. Ge, W. Song, M. J. Giannetto, J. P. Rolland, M. Nedergaard, and K. J. Parker
    NeuroImage, vol. 295 , pp. 120662-1 -120662-10  (2024). View PDF
  2. Development of a multiparametric ultrasound image using an integrated system and method to assess hepatic steatosis
    L. Basavarajappa, M. Khairalseed, K. J. Parker, and K. Hoyt
    Proceedings, IEEE South Asian Ultrasonics Symposium, doi: 10.1109/SAUS61785.2024.10563849 , pp. 1 -4  (2024). View PDF
  3. Angular integration autocorrelation approach for shear wave speed estimation in the framework of reverberant shear wave elastography
    H. Asemani, G. Flores, J. P. Rolland, and K. J. Parker
    Proceedings, IEEE UFFC Latin America Ultrasonics Symposium, doi: 10.1109/LAUS60931.2024.10553108 , pp. 1 -3  (2024). View PDF
  4. Brain elastography in aging relates to fluid-solid trendlines
    K. J. Parker, I. E. Kabir, M. M. Doyley, A. Faiyaz, M. N. Uddin, and G. Schifitto
    Phys Med Biol 69(11) , pp. 115037-1 -115037-16  (2024). View PDF
  5. Angular integral autocorrelation for speed estimation in shear-wave elastography
    H. Asemani, I. E. Kabir, J. Ormachea, M. M. Doyley, J. P. Rolland, and K. J. Parker
    Acoustics, vol. 6, no. 2 , pp. 413 -438  (2024). View PDF
  6. Multiparametrics quantification and visualization of liver fat using ultrasound
    J. Baek, A. El Kaffas, A. Kamaya, K. Hoyt, and K. J. Parker
    WFUMB Ultrasound Open, vol. 1, no. 1 , pp. 100045-1 -100045-9  (2024). View PDF
  7. 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
  8. 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
  9. Limitations of curl and directional filters in elastography
    K. J. Parker
    Acoustics, vol. 5, no. 2 , pp. 575 -585  (2023). View PDF
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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